Podcasts about iea

After a summer break, Peter and Jackie are back with their weekly podcast. This week, they catch up on the events and news headlines from the summer, including: Geoeconomics – recap examples where countries use economic tools to influence foreign affairs – as well as more moves towards state capitalism by the United States, where the government exercises more control over institutions and companies. Canadian oil patch M&A news. Updates regarding the federal government's Bill C-5 and its plans for advancing nation-building projects. Tariff negotiation tactics, including news that Canada is removing countervailing tariffs on the United States.  The United States is exerting more influence over the International Energy Agency (IEA), with the organization planning to reintroduce the Current Policies Scenario in the next World Energy Outlook to be released in the fall of 2025. Content referenced in this podcast: CTV, “Hodgeson ‘hopeful' first batch of major projects announcements to start in the fall” (August 20, 2025) Calgary Herald, “Varcoe: Carney has opened the door to Canadian LNG exports — one closed by Trudeau government, says Liberal natural resources minister” (August 27, 2025) The Vassy Kapelos Show, “I know there are buyers: Federal Energy Minister bullish on LNG as a nation-building project” (August 12, 2025) Oilprice.com, “Republicans Move to Cut U.S. Funding for the IEA” (July 24, 2025) E&ENEWS by Politico, “Trump team pushes for ouster of top IEA official” (August 7, 2025) Please review our disclaimer at: https://www.arcenergyinstitute.com/disclaimer/ Check us out on social media: X (Twitter): @arcenergyinstLinkedIn: @ARC Energy Research Institute Subscribe to ARC Energy Ideas PodcastApple PodcastsAmazon MusicSpotify

In this episode of the Energy Newsbeat Daily Standup - Weekly Recap, Stuart Turley and Michael Tanner break down why model-based oil forecasts consistently miss the mark, highlighting Irina Slav's takedown of flawed IEA predictions. They dive into Fed Chair Powell's Jackson Hole speech and its implications for oil and gas capital markets, LNG export-driven shale growth, the myth of peak Permian, and ERCOT's $14B clean energy project cancellations. From misguided net-zero assumptions to underreported system costs in renewables, this episode covers the real data behind energy trends and what investors should really be watching.Subscribe to Our Substack For Daily InsightsWant to Add Oil & Gas To Your Portfolio? Fill Out Our Oil & Gas Portfolio SurveyNeed Power For Your Data Center, Hospital, or Business?Follow Stuart On LinkedIn: https://www.linkedin.com/in/stuturley/ and Twitter: https://twitter.com/STUARTTURLEY16Follow Michael On LinkedIn: https://www.linkedin.com/in/michaelta... and Twitter: https://twitter.com/mtanner_1Timestamps:00:00 - Intro00:14 - What Does Powell's Comments in Jackson Hole Mean to the Oil and Gas Markets and Investors?03:40 - Surging US LNG Exports Fuel Growth in US Shale08:13 - ERCOT Project Cancellations Reached a Record in Q2 2025, and What is Next?10:43 - The True Cost of Renewable Energy and the Impact on Consumers' Electrical Bills13:33 - Why Model-Based Oil Forecasts Keep Missing the Mark18:13 - OutroLinks to articles discussed:What Does Powell's Comments in Jackson Hole Mean to the Oil and Gas Markets and Investors?Surging US LNG Exports Fuel Growth in US ShaleERCOT Project Cancellations Reached a Record in Q2 2025, and What is Next?The True Cost of Renewable Energy and the Impact on Consumers' Electrical BillsWhy Model-Based Oil Forecasts Keep Missing the Mark

In this episode of Energy Newsbeat Daily Standup Stuart Turley breaks down the hidden costs of renewable energy and its real impact on consumer electricity bills, using EU, UK, and ERCOT examples. He highlights Doug Sheridan's call for more baseload gas and nuclear, critiques flawed oil demand forecasts from the IEA, and reviews Irina Slav's takedown of politicized modeling. Plus, he spotlights record U.S. natural gas consumption projected for 2025 and analyzes how BlackRock's gas deal boosts Aramco's financial strength.Subscribe to Our Substack For Daily InsightsWant to Add Oil & Gas To Your Portfolio? Fill Out Our Oil & Gas Portfolio SurveyNeed Power For Your Data Center, Hospital, or Business?Follow Stuart On LinkedIn: https://www.linkedin.com/in/stuturley/ and Twitter: https://twitter.com/STUARTTURLEY16Follow Michael On LinkedIn: https://www.linkedin.com/in/michaelta... and Twitter: https://twitter.com/mtanner_1Timestamps:00:00 - Intro00:17 - The True Cost of Renewable Energy and the Impact on Consumers' Electrical Bills03:11 - Climate change supporters and their media try to hit Net Zero by 2050, but at what cost – Doug Sheridan04:58 - Why Model-Based Oil Forecasts Keep Missing the Mark09:39 - EIA expects record U.S. natural gas consumption in 202511:26 - BlackRock Gas Deal Shores Up Aramco's Financial Firepower13:02 - OutroLinks to articles discussed:The True Cost of Renewable Energy and the Impact on Consumers' Electrical BillsClimate change supporters and their media try to hit Net Zero by 2050, but at what cost – Doug SheridanWhy Model-Based Oil Forecasts Keep Missing the MarkEIA expects record U.S. natural gas consumption in 2025BlackRock Gas Deal Shores Up Aramco's Financial Firepower

WATCH the video on Substack by clicking the play button above or on YouTube (here).STREAM audio only on Apple Podcasts (here), Spotify (here), or your favorite podcast player app.We have a bonus Super-Spiked video podcast on a week we were not expecting to publish due to a college drop off. But last weekend we couldn't resist digging into trying to understand why crude oil prices have been far more resilient in the face of unexpected OPEC quota increases and a seemingly lackluster economic backdrop. Our punchline is that while we agree there is risk of oil price softness in the back-half of this year and early 2026, underlying crude oil supply/demand balances are not anywhere near as oversupplied as consensus fears. We believe fears of a crash and potential extended bear market are way overdone. We are also gaining confidence that by the time we get to 2H2026 and 2027, oil price risk shifts more meaningfully to the upside. The main points of difference in our more constructive outlook are (1) to disaggregate black crude oil from the more widely reported and followed overall liquids figures; and (2) to give greater consideration to OPEC Research's Monthly Oil Market Report versus the more broadly used equivalent report (Oil Market Report) from the IEA. Over the past month, we have published several posts (here, here, and here) that have examined the long-term outlook from various macro forecasting agencies, consultants, and oil companies. We conclude OPEC Research leads the pack on being most realistic and pragmatic and was least impacted by “net zero / energy transition” madness of the prior 4-5 years. That doesn't mean they are necessarily better at short-term supply/demand balances, but we don't think they should be entirely ignored or dismissed either. As a reminder, at Super-Spiked and Veriten, our focus is on the long-term outlook for energy markets and companies. We have zero interest in joining the short-term oil price guessing game that the Street and others tend to focus on. But in this case, the prevailing bearish narrative around crude oil is so pronounced and at odds with what we are seeing, we thought it worth commenting. It remains our view that prudent risk management suggests oil companies and investors should always be prepared for the potential to have a “normal” trough, which we would describe as low $50s for a 12-month period. Our message today is not to ignore that long-standing advice. But rather to recognize that sentiment is likely way too bearish and that medium- and longer-term risks are skewed toward better outcomes than consensus narratives suggest. Exhibit 1: Underlying “black crude oil” balances using OPEC's MOMR appears significantly less bearish than implied “liquids” oversupply using IEA OMR balancesSource: IEA, OPEC, Veriten.

Esta semana en Gandini Análisis pongo el foco en el mercado del petróleo a partir de la advertencia de la IEA sobre el aumento histórico de la producción en 2025. Analizo no solo lo que está ocurriendo actualmente en este mercado, sinotambién cuáles son las expectativas para 2026Link informe IEA: https://www.iea.org/reports/oil-market-report-august-2025Suscríbanse a mi newsletter para contenido exclusivo: https://gandinianalisis.substack.com/subscribeNota importante: Ningún episodio de este podcast ni las opiniones expresadas en él deben interpretarse como recomendaciones de inversión.

WATCH the video on Substack by clicking the play button above or on YouTube (here).STREAM audio only on Apple Podcasts (here), Spotify (here), or your favorite podcast player app.DOWNLOAD a pdf of the slide deck by clicking the blue Download button below.This week we extend our “Obliterating Peak Oil Demand” series to take on other mainstream macro narratives with a focus on natural gas. We have to admit, it did not even cross our mind that the outlook for global gas demand was anything other than continued growth for the foreseeable future. In fact, there are a number of high-profile macro forecasters projecting a permanent peak in global natural gas demand by as soon as 2030 and in some cases the mid-2030s. This, in our view, is pure insanity. We will take the over, and in fact the way over, that global natural gas demand will grow for many, many decades into the future.Perhaps we were lulled into a false sense of presumed natural gas growth optimism based on what we think is a broad-based acceptance of US natural gas growth due to LNG export expansion and now AI-driven power demand growth. But we are realizing that a positive view of US growth is not necessarily extending to a positive view on global natural gas growth for some of the major macro forecasting agencies.The final topic we discuss this week is a warning to ignore energy macro forecasters that merely tweak prior "transition" assumptions by pushing them slightly out in time. It was an article in the Financial Times this past week that caught our attention on this front and we would strongly encourage energy executives, investors, and board members to simply ignore and pushback on energy macro outlooks that are not grounded in energy's natural hierarchy of needs, which acknowledges that energy availability and reliability is all everyone everywhere cares about. Macro forecasts that prioritize counting carbon should not be the basis for how to think about capital allocation.Before we dig in, two reminders. If you are listening to this on Spotify or Apple Podcasts, there is a corresponding video you can find on YouTube (here), Substack (here), or Veriten's website (here). And second, this will be our final Super-Spiked of the summer. We will return after Labor Day.Exhibit 1: We do not agree with energy macro forecasting groups that are calling for a peak in global gas demand by 2030 or 2035Source: Energy Institute, IEA, OPEC, Veriten.Exhibit 2: We do not agree with the projected sharp slowdown in global gas consumption growth made by some leading energy macro forecastersSource: Energy Institute, IEA, OPEC, Veriten.Peak natural gas even more non-sensical than oil* The idea that global natural gas demand will peak, or even slow, by 2030 is even more far-fetched than the oil debate.* Global power demand expected to grow at a healthy clip.* 24x7x365 requirement supports base-load natural gas, coal, nuclear.* Geothermal, while worth studying, is still unproven at scale; hydro is niche.* Solar + batteries will grow in areas with high solar radiation. Wind is also location specific.* Natural gas does need to compete on overall price/cost economics with alternatives.* Access to capital matters in natural gas, which lacks the mega caps seen in the oil value chain.Don't fall for “delayed transition” narratives* There is now broad-based recognition that the “easy energy transition”” is a bad joke that has adverse societal consequences.* Our Obliterating Peak Oil Demand series, which we have extended to coal and natural gas, illustrates the absurdity.* The mindset that everyone deserves to be energy rich is gaining in acceptance.* What to watch: (1) With upcoming high profile energy outlooks, watch for “delayed transition” language, which is a cop out. (2) If you are a corporate executive, board member, or investor, don't fall for it in making capital allocation decisions.Exhibit 3: Don't fall for “delayed transition” narrativesSource: Financial Times.⚡️ On A Personal Note: Summer Reading List

國際能源署 (IEA) 對石油市場的預測是什麼？IEA 上調了2025年和2026年全球石油供應的預測，預計供應量將增加。同時，IEA 也下調了全球石油需求增長預測，原因包括中國、印度和巴西等地的經濟疲弱 。這導致全球商業原油庫存已升至46個月以來的高位 。為什麼OPEC產油國對減產的立場不一致？ 沙地阿拉伯傾向於減產以穩定油價。然而，部分 OPEC 成員國不願意犧牲它們的市場佔有率 。如果無法落實減產，油價短期內可能會進一步回落，直接影響中東產油國的收入。美國在液化天然氣 (LNG) 市場的地位如何？ 今年頭八個月，美國的液化天然氣出口量按年增加了22%，再次成為全球最大的液化天然氣出口國。其中，歐洲吸納了美國三分之二的出口，原因在於再生能源供應不穩定以及俄羅斯供應的減少 。美國液化天然氣出口的增長對美國國內有什麼影響？ 由於出口需求，美國國內的天然氣供應面臨壓力，導致能源成本有所增加 。國內住宅、商業和工業用天然氣的價格平均上漲了27% 。中東主權基金目前的投資策略有什麼改變？中東的五大主權基金，其資產規模合計超過4.2萬億美元 。在過去一年，他們加快了在歐洲和美國的基建、能源轉型和科技創投等領域的投資 。與此同時，他們也縮減了在中國部分行業的投資比例 。為什麼中東主權基金會減少在中國的投資？ 其中一個解釋是，中東主權基金現在會主動參與企業的管理和決策 。然而，在中國市場，任何達到一定規模的企業都不太可能完全自主發展方向 。這一點會影響投資者的決定 。 This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit leesimon.substack.com/subscribe

Wall Street recorded another positive session with the S&P500 and the Nasdaq closing at new record highs for the second consecutive day after yesterday's inflation came in broadly as expected, bolstering the case for the Fed to resume easing. S&P 500 up 0.32%, Nasdaq up 0.14%. Dow jumped at the open, weakened a little as the day progressed, but found renewed strength toward the end to finish near a fresh high. Up 464 points. Mainly broad and strong sector performance. Materials best performer, one of the top three yesterday too. Healthcare also did well, one of the weaker performers this year due to Trump's threat of a tariff which may rise to 250%. Cyclicals and Energy the next best performers. Tech and Utilities the only negatively performing sectors from the overnight session.In corporate news, Nvidia slipped 0.9%, Alphabet fell 0.7% and Microsoft dipped 1.6% as the market looked beyond some of the Magnificent Seven for growth momentum. Apple advanced 1.6% on reports of AI-powered robotics and smart home ambitions. CoreWeave, backed by Nvidia, plunged 20.8% after posting a larger-than-expected quarterly loss, underscoring the earnings pressure weighing on some high-profile AI plays.Resources down despite dollar weakness. Oil hit a two-month low as the IEA reported that US crude stocks rose by 3m when expectations were for a 275k increase. Copper, nickel and zinc all down.ASX to rise. SPI futures up 32 points (+0.36%). TLS WBC SUN Results - Super Thursday.Want to invest with Marcus Today? The Managed Strategy Portfolio is designed for investors seeking exposure to our strategy while we do the hard work for you. If you're looking for personal financial advice, our friends at Clime Investment Management can help. Their team of licensed advisers operates across most states, offering tailored financial planning services.  Why not sign up for a free trial? Gain access to expert insights, research, and analysis to become a better investor.

Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ●       Greg Lindsay website: https://greglindsay.org/ ●       Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ●       International Energy Agency (IEA): https://www.iea.org/ ●       Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●       Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show.   Greg Lindsay  04:14 Great to be here. Thanks for having me. Trevor,   Trevor Freeman  04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence?   Speaker 1  04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today.   Trevor Freeman  05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say?   Greg Lindsay  06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses.   Trevor Freeman  06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here?   Speaker 1  07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that.   Trevor Freeman  10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say?   Greg Lindsay  11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions.   Trevor Freeman  12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode.   Greg Lindsay  12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get.   Trevor Freeman  13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible.   Greg Lindsay  13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well.   Trevor Freeman  15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space?   Greg Lindsay  15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric.   Trevor Freeman  17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this.   Greg Lindsay  17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff.   Trevor Freeman  18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like?   Greg Lindsay  18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff,   Trevor Freeman  20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? ,   Greg Lindsay  20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others.   Trevor Freeman  22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future,   Greg Lindsay  23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots.   Trevor Freeman  23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid.   Greg Lindsay  24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I.   Trevor Freeman  27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents.   Greg Lindsay  28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before.   Trevor Freeman  31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating,   Greg Lindsay  32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents.   Trevor Freeman  33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is.   Greg Lindsay  33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios.   Trevor Freeman  35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about.   Greg Lindsay  37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad.   Trevor Freeman  39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that?   Greg Lindsay  39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there.   Trevor Freeman  42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things?   Greg Lindsay  43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will.   Trevor Freeman  44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector?   Greg Lindsay  45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market.   Trevor Freeman  49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read?   Greg Lindsay  50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody.   Trevor Freeman  51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at?   Greg Lindsay  51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me.   Trevor Freeman  52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go?   Greg Lindsay  52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world.   Trevor Freeman  52:58 Yeah, it's pretty wonderful. Who is someone that you admire?   Greg Lindsay  53:01 Great question.

Welcome to Top of the Morning by Mint.. I'm Nelson John and here are today's top stories.

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WATCH the video on Substack by clicking the play button above or on YouTube (here).STREAM audio only on Apple Podcasts (here), Spotify (here), or your favorite podcast player app.DOWNLOAD a pdf of the slide deck by clicking the blue Download button below.Last week we published a written post that took a fresh look at a long standing theme of ours “obliterating peak oil demand” (here). We dug into OPEC Research's most recent World Oil Outlook report (here) to compare OPEC's more optimistic view of long-term oil demand to more bearish forecasts from the IEA and frankly many other leading energy voices. Our own outlook is closely aligned with OPEC's in recognizing the massive unmet energy needs of the other 7 billion people on Earth. The idea that anyone can know today that oil demand is going to permanently peak within the next decade is something we push back hard on. That post has sparked a number of questions, five of which we will aim to address today.Our On A Personal Note this week remembers heavy metal pioneer Ozzy Osbourne, who passed away on July 21. I was fortunate to catch a Black Sabbath reunion tour in 2016.

Lauri Malksoo gives the keynote address at the 2025 REECAS Northwest Conference, an ASEEES regional conference which takes place annually at the University of Washington. Lauri Mälksoo is Professor of International Law at the University of Tartu in Estonia and member of the Estonian Academy of Sciences. During the academic year 2023-2024, he was fellow at the Institut d'études avancées (IEA) in Paris. He earned his law degree at the University of Tartu in 1998, his LL.M. at Georgetown University in 1999 and doctorate at Humboldt University Berlin in 2002. He has subsequently had fellowships at NYU School of Law, at the University of Tokyo and at the Woodrow Wilson Center for International Scholars (in Washington, DC). He is member of the Institut de Droit International and since 2021, of the Venice Commission of the Council of Europe. He is an editor-in-chief of the Baltic Yearbook of International Law (at Brill) and is member of the editorial board of the Review of Central and East European Law. Among his publications are monographs Illegal Annexation and State Continuity: The Incorporation of the Baltic States by the USSR'(2nd ed., 2022, Brill) and Russian Approaches to International Law (OUP, 2015). He has published widely on the history of international law related to Russia and the Soviet Union, as well as on current developments and cases in international law.

In this episode of the Energy Newsbeat Daily Standup, Stuart Turley and Michael Tanner discuss the approaching "day of reckoning" for wind and solar energy, highlighting the growing challenges of the net-zero transition and the high costs associated with renewable energy. They also cover the U.S.'s potential withdrawal from the International Energy Agency (IEA) as Energy Secretary Chris Wright pushes for reform or exit due to the IEA's political stance on clean energy. The conversation shifts to the impact of AI in Pennsylvania, with major companies investing billions in data centers, and concludes with insights into grid reliability, emphasizing the complexities of integrating renewable energy and the need for microgrids.Highlights of the Podcast 00:00 - Intro00:13 - Wind and Solar's Day of Reckoning is Approaching.04:32 - Energy Secretary Chris Wright Says Withdrawal from IEA Is Now on the Table06:57 - AI in Pennsylvania is on the move – Doug Sheridan brings up some great questions08:14 - Voltage, inertia and the Iberian blackout part 1: the theory11:59 - Markets Update12:57 - EIA Crude Oil Inventory14:39 - OutroPlease see the links below or articles that we discuss in the podcast.Wind and Solar's Day of Reckoning is Approaching.Energy Secretary Chris Wright Says Withdrawal from IEA Is Now on the TableAI in Pennsylvania is on the move – Doug Sheridan brings up some great questionsVoltage, inertia and the Iberian blackout part 1: the theoryFollow Michael On LinkedIn and TwitterFollow Stu on LinkedIn and XENB Top NewsEnergy DashboardENB PodcastENB SubstackENB Trading DeskOil & Gas InvestingNeed Power For Your Data Center, Hospital, or Business?– Get in Contact With The Show –

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Brent prices strengthened last week despite ongoing geopolitical risks, as the IEA adjusted its 2025 and 2026 demand forecasts and highlighted a surplus in the market. Meanwhile, developments in US trade policy and a shift in Trump's stance on Russia add further complexity to the outlook for oil prices. Please note: this podcast is provided for information purposes only and should not be construed as an offer, or a solicitation of an offer, to buy or sell financial instruments. This podcast does not constitute a personal recommendation and is not investment advice. Investec

Summer rewind: What does Canada do with excess energy? How is it stored today and how will it be stored as the energy industry evolves? Justin Rangooni, CEO of Energy Storage Canada, shares how energy storage supports a sustainable future for Canadians—from enhanced flexibility to affordability, large-scale grids to individual consumer needs. Listen to episode 152 of thinkenergy to learn about ongoing projects and challenges facing the energy storage sector in Canada.   Related links   ●     Justin Rangooni on LinkedIn: https://www.linkedin.com/in/justin-rangooni-5063b542/ ●     Energy Storage Canada: https://www.energystoragecanada.org/ ●     TC Energy Pump Storage Project: https://www.tcenergy.com/operations/power/pumped-storage-project/ ●     From Small to Mighty report: https://energyontario.ca/Files/OEA_ESC_From_Small_to_Mighty_Dec_2024.pdf ●     Ontario Energy Board: https://www.oeb.ca/ ●     Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●     Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod ----- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re-releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts, feedback or ideas for topics we should cover, please reach out to us at think energy at hydroottawa.com, Hi everyone. Welcome back. We tend to take for granted that when we flick that light switch on, or we plug in our coffee maker or EV, electricity is there to do what we want it to do. It will light up the room or make our coffee or charge our car or whatever the case may be. But let's take a minute to reflect on the engineering marvel that makes that a reality. The traditional power grid is set up as a one way on demand system, meaning, when you need those electrons for your morning cup of coffee somewhere else, that same amount of electricity needs to be generated pretty much simultaneously. Multiply that one use case by hundreds of millions or likely even billions of devices needing power at any given time, and you can appreciate the challenge. Traditionally, power grids don't store electricity. They need to make sure they're generating enough power for the load that's required at any given time. And as many generation sources can't be instantaneously turned on or off. This requires forecasting, also known as informed guessing, of what the load might be at any given time to make sure that the generation resources needed are up and running. Some forms of generation require a few minutes to turn on and off. Some require a few days or even weeks. In the case of nuclear generation, for example, and others like solar or wind are dependent on weather conditions. So all of this means that often there is some excess generation that needs to go somewhere, and that somewhere is traditionally a neighboring jurisdiction, who will buy that excess power at a pretty low rate. So all that I've described above, while it is an engineering marvel, is a rather inflexible system. The good news is that this is the power grid of yesterday. Well, today, a little bit as well. The grid of tomorrow is shaping up to be much more flexible in terms of when and where we generate and use electricity, and a major tool that will help us get to that state is energy storage. Energy Storage means things that let us generate electricity at a certain point in time, such as when the sun is shining or the wind is blowing, or when not a lot of people are using grid electricity, like the middle of the night, but save it to be used later, when the conditions are opposite to those I just mentioned. This opens up loads of possibilities and can help with grid flexibility, for sure, but also other things like customer affordability. So imagine being able to pull cheaper off peak electricity from the grid and use it later when rates are higher during peak times, instead of buying that more expensive power. It supports things like resiliency, so using stored electricity during an outage, for example, and it also lets utilities and system operators pull on different resources on the grid at different times, instead of only having generation to pull from. Energy storage can take many forms, which we'll get into in today's conversation, but certainly, batteries are the ones that we are most familiar with. We're seeing more and more applications for this technology, from home battery systems to large scale Grid applications. In fact, here in Ontario, the Independent System Operator or IESO is working through their long term or LT one RFP, which is looking to procure capacity, including battery storage for grid needs. But some of these projects are facing hurdles, such as opposition from community. Members opposed to project developments in their area over concerns about what those projects mean with the need for more energy storage of all sizes on our grid. I thought this would be a good time to dig into this growing sector and understand it a little bit better. And the perfect person to help us do that is actually someone who's been on the show twice before, Justin Rangoon, he the president and CEO of energy storage Canada. So even though Justin's been on before, I think given what's happening in the news and the evolving sector that he represents, it's great to have him back to talk through some of this stuff together. So energy storage Canada, or ESC is the National Trade Association that's dedicated to advancing Canada's energy storage sector. It's a non profit organization that was established in 2016 and has a diverse membership of more than 85 members, from technology providers to project developers, power generators, utilities like Hydro Ottawa, engineering firms, etc, etc. Justin in particular, is the President and CEO of energy storage Canada, and is a lawyer with more than a decade of experience in Canada's energy sector, specializing in policy and government relations. He's been the executive director since 2019 and has facilitated significant growth within ESC membership, staff, conference offerings, et cetera, to kind of match the pace of accelerated growth in the storage sector. So it's really great to have Justin here today to talk through this with us. Justin Rangooni, welcome to the show. Great to be here again. Thanks for having me. Yeah, actually, that's a great correction or clarification. Welcome back to the show. So I think you're actually the first three Pete guests that we've had on the think energy podcast you've been on twice before, both times with my predecessor, Dan. So great for us to chat for the first time, but welcome back to Think energy for the third time.   Justin Rangooni  06:54 Oh, thank you. It's always good to have the Triple Crown, right? I'm happy to wear it   Trevor Freeman  06:59 and the first one too. So why don't we start right off the bat, Justin, if you don't mind, remind our listeners about the important role that energy storage can and will play for both customer needs as well as for grid management.   Justin Rangooni  07:16 Okay, so the best way to think of it is, there's an analogy that one of our members had always said, and we continue to use it when we talk about energy storage. And the great things that can do is that it's like bacon. It makes everything better. I don't eat bacon, but I take I understand the concept, and what that means is, if you look at from a grid management point of view, is that we have all in Ontario, we're lucky to have a pretty clean grid, if it's nuclear power, or it's water power, or it's intermittent generation like wind and solar and even some gas too, which is which is near zero carbon or don't have coal. So it's a clean grid, and energy storage can make that better in the sense that it will optimize those generation assets so we're not wasting it. So those days before we would hear about when energy is needed but the wind's not blowing, or the sun's not shining, or we don't need the energy and we have to spill water, or, you know, we may have to power down a ramp, down a bit of the nuclear ramp or the natural gas units. Now energy storage can make sure we don't waste that now we can collect that power when it's done, when it's when it's being done, when it's being made, and we're holding it for when it's needed. And from a grid management that is the real key. That is the game changer that energy storage provides. And if we break it down, to the customer themselves. You know, you're trying to think of now, not just helping keep the lights on. We're also talking about your rates now in terms of now we can kind of defer those investments in terms of more generation, because now you have energy storage that's getting more out of it. We're also talking from the distribution side about pools and wires. Maybe you don't you can defer those investments a little longer with more distributed, connected energy storage. So now the customer is starting to see the benefits of energy storage in their rates and in their electricity bill. And look, I just got an electric car. They're really excited about it, and I can see the possibilities of that car being a battery for my home, for my use, which, again, now maybe that's still a bit down the road with B to G and using it to power a residential energy storage unit in my house, but the possibilities are really endless. So this is really the exciting thing about energy storage, from a Grid Manager down to the customer,   Trevor Freeman  09:35 yeah, and I think it's important to think about the different contexts that energy storage can play, or the different roles that it can play for our individual customers, a homeowner, there's a role for storage there, and you get some of those benefits that you just mentioned, but then we can scale that all the way up to the grid level. And you know, us in the utility space also have some things that we can do with. Energy Storage, and like you said, we can manage things a little bit better. We don't have to waste that energy. We can generate it when it's cheap and hold on to it and use it when it's maybe a bit more difficult in those peak periods. So lots of different uses. Thanks for laying that out for us. Now we hear a lot about, you know, decentralization and community-based energy systems, kind of more control at the community level when it comes to energy what's the role of energy storage in systems like that?   Justin Rangooni  10:32 Well, I think that's energy storage can really make that a reality. Now, again, I think I'll go back to my example having an electric car. It seems like more getting closer to being more a prosumer than just a consumer now. So I can see the possibilities of using electric vehicle you could and then you start to pair that with other kind of your thermostat or your other smart technologies in your home. So now, when we're talking about decentralizing community based energy systems, the consumer, the utility, the system operator, you're all able to get in the space of playing with the technologies. And that's really again, where it gets kind of exciting that everyone's playing a role. There's different possibilities to use, and we think energy storage is the key to doing that, because it can store that energy when it's not needed, and you can use it when it's needed. And if the technology evolution continues, eventually, the homeowner, the business owner, can start to use that. I can use buy power from the cars. I can use my power that I'm generating myself or from the distribution grid. And now I can start to play with it and use it store overnight when rates are low or when there's excess supply. I could store that energy and use it when it's needed during the day. So really exciting times, and that's why we think energy storage is key to any decentralized or community based energy systems.   Trevor Freeman  11:51 Yeah, it really unlocks that ability to push control into the hands of the end user, whether that's the homeowner or the business owner. The community, kind of pushes it downstream into their hands. So as I mentioned up top, you've been on the show before. I think the last time was 2021 which, I mean, doesn't seem like that long ago, in some sense, and also seems like decades ago. What has changed in the world of energy storage since the last time you were on the show? Oh,   Justin Rangooni  12:20 oh, how much has changed? Geez, like that does seem like a very long time ago. I think the Toronto Raptors were only two years coming out of an NBA championship, and we thought maybe we'll get some more, get some more long playoff runs. And that's right, still living the high on that. That's right, or still living the high back then? Well, since 2021 like, a massive amount has changed in the sector. You know, we're seeing incredible growth across Canada. I think when we first chatted back then, you know, we were talking about the energy storage potential, specifically in Ontario. And since that time, we've seen one of the largest procurements for energy storage technologies, and really globally, take place in Ontario, with over 3000 megawatts of contract contracts awarded in that time, and we're looking at more in subsequent rounds of procurements for the rest of the decade, including one of the first of the kind procurements focused on long lead time or long duration energy storage technologies, which does get very interesting, because now you're looking just beyond batteries, or just beyond lithium batteries. Now you're looking at things that can store power, six, 812, hours, days, weeks, even seasons. If you really think about it, it's really exciting. We've seen the growth in Ontario. And it's not just there. You look across the country, Nova Scotia, since that time, announced 350 megawatt battery energy storage projects. Alberta already has over 100 megawatts providing value and what their market design consultation is going on now we expect to see a lot more. BC is a 600 megawatt target. Saskatchewan installed a 50 megawatt desk system. And you're looking at projects big and small, transmission, connected, dx connected, being announced, implemented, you know, across the country, and just more as we speak.   Trevor Freeman  13:59 Yeah. So those long lead was just maybe for my own curiosity. Everybody's probably pretty familiar with battery technology, and if you're not, it's really the same concept as the batteries you put in, I don't know, your remote control, or in your phone or your car. Now, scaled up, what are some of those technologies as that energy storage technology that provides that long duration storage time that you were just mentioning. So   Justin Rangooni  14:22 you're looking at possibly different battery chemistries, like zinc, vanadium, for instance, like, again, different elements critical minerals that are found that can actually do their technological process, and what it can hold, can hold that energy for even longer. So you're looking at different battery chemistries. You're also looking for different methods of energy storage, like compressed air. Wow, which, again, there's a Canadian company which is one of our members of hydro store, and is doing great work getting ready for that in other parts of the world, where it's basically taking air, compressing it into underground caverns, saving that energy potential, and then releasing it to. Create electricity when it's needed, then you have thermal storage. And again, some Canadian companies are really looking in and on that one in terms of using, you know, heating molten salts or molten rocks for thermal storage, and eating that, that energy potential, and using and keeping it there and then using it for when it's needed. And I go think back to the batteries. There's, there's easing, which is, which is an Ontario company based out of Etobicoke that's looking at zinc based batteries for that long duration, and not to mention even pump storage, which has been around for decades. And we heard a recent announcement of moving the ball forward on TC energy's pump storage project in medieval again, that's a long duration energy storage project, again, doing more, doing it more than the four hour lithium batteries, but you get all those options available for a system operator then, then it gets really interesting that they can see what they need and what time and what storage technology to to rely on.   Trevor Freeman  15:55 Yeah. So for our listeners, I mean, you might be familiar with hydro generation, you take water that's flowing downhill, whether it's a waterfall or just a river, and use that momentum to turn a turbine. Pumped Storage would be taking that that water, actually pumping it uphill and holding it there and then when you want to generate electricity, letting it flow down through the turbine, and just repeating that process over and over again. So thanks. Thanks for sharing that with us. I think it's important to recognize that like any technology, things kind of move forward. They iterate, they improve, and as we see more adoption that technology, it speeds up the process of that iteration, and we see jumps forward in the technology and its efficiency. So we've talked about the importance for grid management, for cost, sort of reliability, but there are folks out there whose main driver is reducing their carbon footprint. So understanding that energy use often has a carbon aspect to it, how can energy storage help, whether that's a business or an industry, help them reduce their carbon   Justin Rangooni  17:01 footprint? That's a great question. And what energy storage can do is, traditionally, before energy storage technologies started to mature and be more economically viable, like we're seeing right now, a lot of companies, a lot of new communities and had a lot of access to electricity, reliable electricity would use diesel generation as backup. So that's dirtier, that's like, it's not good for the environment. But now energy storage can provide that different option. Now you can install an energy storage system, smaller battery, for instance, to provide that backup system, if that's what the reason you need it. But again, because now you have that battery, well, it's not just there for backup. Now you can use it for helping smooth those peaks. A lot of industrial customers, especially Ontario too, are using behind what's called behind the meter energy storage to really help mitigate or manage that electricity use during peak times where they don't necessarily have to rely on the grid. They can use that battery that's installed. Again, low carbon footprint, if at all, you're just using the clean electricity that's on the grid to power that battery, and now you're using that battery and reducing the pressure that's on the grid during those peak periods. So not only decarbonization, you're applying reliability, and it's really good for affordability reasons, and so that's why you're seeing a lot of interest from the CNI type customers.   Trevor Freeman  18:19 Awesome. Are you seeing an increased pace in the adoption of energy storage? Are we kind of hitting that technology adoption curve where it's starting to pick up, or has it been relatively stable the last couple of   Justin Rangooni  18:32 years? Well, I would say we're still in the growth mode. And I always like to say that the sector is growing as us the association energy storage Canada's growing. Our members keep getting bigger. Our conference keeps getting bigger. The amount of submissions and work and like podcasts like this and getting questions about it continue to grow. And it goes with the sector that it's still growing. There are provinces like Ontario that are ahead of the game right now, but there's others that are coming now. Provinces like Saskatchewan is starting to look more at energy storage. So in a few years, they'll might be where Ontario is. So everyone's coming at different angles, and it's because of the technology advancements for energy storage. It's also the economics have started to go down, but it's also that they are seeing, we really need that reliable backup power, or reliable electricity to help keep the lights on while keeping rates low, and they're seeing energy storage, that's the option that they really need to look at. So we are way beyond now science experiments and pilot projects, but we're still not there where it's starting to plateau. I'm not sure when that happens. I hope maybe it never happens. Maybe it just keeps going. The technology will advance, but just keep happening. So it's a really fun kind of we're still riding the wave, I would say,   Trevor Freeman  19:41 Yeah, awesome. So you gave a bit of an outlook on the Canadian landscape. Are there other jurisdictions around the world that are real leaders when it comes to energy storage, you know, policy or adoption, or where they are, compared to Canada? You know   Justin Rangooni  19:55 what? We're starting to see that almost like everywhere. So obviously us, they lead. Their leaders, a lot of the ways, similar to us, their states have different priorities, different reasons for using it, just like we have our provinces. So states like California are have a lot of energy storage to make use of the intermittent solar generation that they have. Texas, also, maybe with solar, too, is using a lot of energy storage. But interesting, like the red state, the Republican state of Texas, is embracing innovative technologies like energy storage. Because, if you recall, during their winter storm they had they ran like their power was really short. So what did they look at going forward, saying, we need to make sure that we have a reliable system. And entered and they started to really embrace energy storage. So if it's decarbonization goals, if it's reliability goals, if it's a priority, goals are really driving a lot of the policy directions in the US, in Europe, in China, in Asia, China, Japan, Korea, they're all looking to install more energy storage. Again, it's not, it's not just like politically neutral. It's almost like country neutral, that you can put this anywhere. It's scalable, it's portable. And that's the beauty of energy storage.   Trevor Freeman  21:08 Yeah. I mean, it's a good reminder that when you get right down to it, when you cut through all the noise, good ideas, you know, kind of transcend politics and transcend political parties or rhetoric. If it's a good idea, it's a good idea and it's and it's going to happen. Okay? So I want to dive into a report that you kind of partnered with the Ontario Energy Association recently on the reports called from small to mighty unlocking ders to meet Ontario's electricity needs. So in this report, you outline a policy and regulatory framework that is aimed at enabling widespread adoption of DERs, which includes energy storage. Can you talk us through the main principles of that framework?   Justin Rangooni  21:52 Sure, and this is a great collaboration between the Ontario Energy Association trying to look at everyone's been talking about distributed energy storage or energy resources as kind of the next phase, the next piece of the energy puzzle in Ontario, and really for Canada. But we're looking Ontario here to meet our capacity needs that are being forecasted by the IEA. So, so what we thought working with the OEA was, can we come out with a paper that kind of looks at a roadmap to how do we really start to implement DERs, and that includes the utilities in Ontario, that includes the private entities and companies who want to install and own and help own and operate these DERs. So what this paper really looks at is, you know, it supports the development of an overarching policy and regulatory framework to enable DERs to play a much larger role in Ontario's electricity resource needs to support economic growth. So we're recommending that for Ontario government to issue policy directions to the Ontario Energy bowl or to the ISO to really enable LDCs like Hydro Ottawa led der procurements, as well as make grid modernization investments necessary to integrate and manage DERs, because we believe enabling an LDC led der procurement stream builds on LDCs existing responsibility and aligns with the development of future local markets for distribution services and really to play In that upcoming ISO wholesale market enhancements to better integrate DERs. So it's kind of bringing DERs into that game. So it's not just relying on centralized generation, which speaks really well to what energy storage kind of does. It's you can play in a wholesale market. It's a tech transmission connector. It could also be distribution connected. So that's why we consider it as a big piece of this der puzzle, distributed energy storage.   Trevor Freeman  23:43 Yeah. So I mean, you've outlined kind of that engagement piece and encouraging the regulatory bodies, our levels of government, to enable more DERs to happen. What does that engagement look like to support the industry's growth? How are you engaging with policymakers?   Justin Rangooni  24:00 Well, this is one of the great things of having a dedicated trade association, like energy stores. You know, we our team is growing. We're about six now. Across the country. We have a great we have fantastic 100, over 100 members, including Hydro Ottawa, who help us develop these policy submissions. And we have various working groups dedicated either Ontario wholesale or distributed energy storage or BC, Alberta, federal, Atlantic, Canada as well, what have you. And this is how we engage policy makers. We are able to tap into the expertise of our members and get their feedback and then bring that common consensus position focus exclusively on energy storage, nothing else. We do this 24 hours, seven days a week, 365, days a year, and we bring this to decision makers, if it's the regulator, the system operator and governments. So when we're talking about DERs, or we're talking about anything else, we're bringing that pure energy storage perspective that no one else can bring, and so they're seeing, i. Us is that trusted voice for the sector, and that's how we're really seeing a lot of momentum, and we are moving the ball down the   Trevor Freeman  25:06 field Great. What is the role that you guys play when it comes to fostering innovation and investment in new storage solutions? It's kind of that, you know, iterative process where technology improves over time. How are you and how is it energy storage Canada sort of helping speed that along. I   Justin Rangooni  25:25 think one of the best examples was with Ontario's procurement. They were really interested in long lead time, or long duration energy storage. So to help ISO get comfortable with the concept, because of our membership continues to grow, we have members who are dedicated to long energy storage. So we were able to facilitate introductions. We were able to group meetings, bring them to talk about their technologies to the ISO. And we'll do this again. We'll replicate this across the country as well. And it gets the ISO comfortable where they can ask all the questions that they could ever have about that into that company's LDS technology. And it gets them comfortable to start to frame the procurement so they'll know what technologies are available now, what technology may be available in, say, five years time, but then they can start applying so this is how we foster innovation and new storage solutions. We bring our members, facilitate those meetings with decision makers, and that really, can really start to get things moving   Trevor Freeman  26:18 when it comes to those new technology. So you mentioned, you know, having line of sight into what's coming five years down the road. I know earlier in the conversation, we were talking about, you know, different battery chemistries, different technologies. Is there anything coming up that isn't viable today or doesn't work today, or we may not be aware of today that you see as the next thing, the next technology that looks promising for deployment in the coming five or 10 years.   Justin Rangooni  26:45 You know what I would think a better way to look at it is, I think there's a knowledgeable a lot of the existing technologies, even if you look at lithium batteries, which is the most prevalent right now, where lithium batteries will be in five years, will probably look a lot different than it is now in terms of its efficiency, of how long, how many hours, it could be considered a long duration asset in five years time. And you can think of any of the other newer technologies that are coming now saying, oh, you know, I'm ready now. Or I need a long lead time. It might take me a year to have built in five years time that that, construction timeline could be shorter. So in this nascent sector, which is really brewing with so many great ideas and innovation, it's going to change year to year. Who knows by the end of the decade, how many different types of energy storage technologies are viable right now? That's what I'm really excited about. Where a system operator somewhere in this country will say, I need some capacity now. And now they could almost do it as the menu. I could pick the location I need it in, I need I need a certain duration, I need a certain size. And they can look at the menu of energy storage technologies that are really available now and start to kind of pick them off and say, Well, maybe, maybe this combination will really   Trevor Freeman  27:57 work. Yeah, having options really addresses multiple needs and different folks that have different drivers can sort of pick and choose what makes the most sense for them. Like any new technology or newer technology, it often starts with, you know, high capital costs. Those with the deep pockets are able to really engage in it first, but then over time, that comes down. So I'm curious, kind of, on the economics of it. Are there any trends that you're seeing when it comes to investment in energy storage projects in Canada that you're seeing over time? Yeah, I   Justin Rangooni  28:31 think there's a couple of buckets you can look at. You can look at, like strategic government support for programs. So when we first started, I think when we first talked, probably in 2021 where I just, kind of, I started in 2019 in this role, and we were talking to the federal government, saying, you grab all these great programs for other generation assets, why not create one for energy storage that can start to really help the project economics? So they created the smart renewable electricity Pathways Program. Then came the investment tax credits. So those are great examples of government support programs to really help this sector as it's growing. Will those be needed in five years plus time? Maybe not, maybe not. Maybe then it try, maybe it pivots to the newer energy storage technologies to help so but strategic government support is a is a great driver of it. You saw that in the US with their investment Reduction Act program, the RR, the IRA, which started to launch a lot of ITCs for different energy technologies, like energy store. And you saw the market boom. It really started making the economics better. And it just made helped on rates, where people were able to start looking at different innovative technologies. So strategic government support is key private sector engagement as well. And you're looking at that on the the AI start of things like the big data centers. They want to power their own clean supply of generation, and they're going to need energy storage to provide that 24/7 power. So they're willing to dole out money for. Are ESG goals as well. There's companies, hopefully still out there who still want to pursue ESG goals. So they're going to be looking at cleaner energy solutions and help and energy storage obviously plays a role in there. There's international collaborations with different governments, where Canada's part of talking about, you know, what can we do to share R and D to really advance different sorts of technologies. So really, it's government, it's the public, it's public together, and it's private altogether, doing this investment trends.   Trevor Freeman  30:30 Yeah, I mean, great answer, and you kind of answered my next question, or my follow up question, which is, what are some of the levers that we can lean on to encourage investment and to sort of speed up that investment. And I think you've hit the nail on the head there of the role that sort of government can play. We've talked on the show before about the role that government can play in sort of jump starting technology and using investments and tax credits to help get nascent technology off the ground until it's market ready. And we're seeing that in the in the storage space, the role of, you know, private entities with strong drivers, like data centers, for example, to come in and say, look, we've got a need here, and we see that energy storage can fulfill part of that need, and we're willing to pay in order to make that happen. And that also helps move the industry along and move the technology forward. So those are great examples. Thanks for highlighting that. Let's dive in a little bit into the technology. Here. One question that often comes up, maybe by by those more resistant to the technology, is, well, what about end of life? What about the environmental impacts when it comes to, you know, battery storage, in particular, the rare earth metals that go into that the mining required. Talk to us a little bit about some of the sustainability considerations regarding batteries, end of life. Can they be recycled? What? What happens? How are we mitigating that, that environmental impact?   Justin Rangooni  32:01 Yeah, I think these are excellent questions to ask, if you look on the recycling end of life, because we're at kind of the starting point of enabling energy storage. We're talking about batteries, specifically with these recent Ontario contracts. So these are 20 years contracts, so these batteries are going to last a while. You know? They might get replaced every 10 years. But what you're seeing is a lot of interesting Canadian companies. So there's a store, there's there BC, for example, is looking to be one of the leaders in not just EV, not just battery energy storage recycling, but electric vehicles and other recycling as well. So companies like tax and moment energy are taking you this opportunity while this window is open right now, see, how is it best to recycle these batteries? So either you're going to break them down to recycle them as much as you can in the most environmentally sensitive way, or can you now repurpose them? So a lot are looking at electric vehicle batteries that may come to life much sooner than battery energy storage system, let's say six to eight years, then repurposing those to say, well, we can get more life out of these. Could be battery, energy, standalone systems for another eight to 10 years. So there are recycling options, there's refurbishing options, and then there's just breaking down the components. And here is the opportunity for Canada to be a leader. You have this window. So there's interest, there's, there's, there's startup companies, and there's a lot of interest. So if Canada could do this, right, you know, we could be a leader in the recycling of EVs and battery energy storage.   Trevor Freeman  33:29 Yeah, it's like, it's the old. I don't know if it's a cliche or an adage, but somebody's problem is another person's opportunity, right? The challenge of a new technology, having a battery that gets to end of life at some point creates opportunity, whether that's in the recycling of it or and I'm glad you brought that up. It's one of my favorite examples or potential use cases of you know, an EV battery gets to the point where it can no longer provide the required power for moving a car down the highway at highway speeds, but it still can provide the kind of power that a house might need for backup power, for peak shaving or for reliability, whatever the case may be. So just because it's end of life in one use case doesn't necessarily mean it's end of life in another use case. I think that's a great example. I really like hearing that one. So one other thing that comes up when we talk about these maybe larger scale battery energy storage installations is safety, public safety. And there's a bit of a question mark, I think, in the public mind of, well, are these safe? Are we going to be at risk if we're near to one of these facilities? I think people are generally familiar with or even maybe even if they aren't familiar with it, they feel like they are when it comes to other types of generation, for example. But battery is a bit of an unknown. Are these battery installations? Are they safe? What are some of the safety considerations, and how is the industry addressing those?   Justin Rangooni  34:58 No and. And the short answer is, these are safe. As you mentioned at the outset, this technology is the same lithium batteries that are in your phone that you might put near your head when you're falling asleep, that you're plugging in overnight you're in your kitchen or your living room, what have you now, because they are bigger scale and the questions there they have to follow the correct procedures and installation. So what we rely on, obviously, our members adhere to the latest safety standards, the latest fire safety measures that have to take in the low risk that this might happen. What we also do, and we'll make a plug for these two members of ours who have been really helpful to us. It's Hillier Safety Group. Hillier and energy safety response group. So these are two members of ours who have especially with esrg. They are there. They are firefighters and ex firefighters who test batteries, energy storage system to and then take learnings and best practices from it. So we've encouraged and esrg goes out with our members. They go with the ISO. They do webinars that we host with them, speaking about how as a firefighter, they say, we test these things if they're installed correctly, if you're using the correct like a reputable company, and you ask about the mitigation measures these things are safe and in the low risk that these things might catch on fire by letting it burn out. It might not look so good sometimes, but that is actually the safest way. And there have been instances which I think were referenced and people talk about like in New York, and there was one in Los Angeles and and it, and they've done studies after this to say, Okay, what was the impact after nothing in the air, nothing in the soil, nothing in the water, it just burned itself out. Now, as the technology in the sector advances, you're going to see a lower risk of that. The numbers in the US actually say be as the number of battery in energy storage systems have increased, the incidence of these risks have gone down dramatically. And the reason is that technology is advancing. The safety measures are advancing, the standards are are advancing. So these things are becoming safer and safer. But if you're a community member and you have questions, ask the developer these questions. Say to them, what battery are you using? Is this a reputable company? How many What measures do you have in place in case something does happen? And these are all great questions to ask, and those who are our members of energy storage Canada, you know they will, they will be able to answer those and provide that comfort.   Trevor Freeman  37:27 Absolutely great, good answer. Okay, final question here, What is the long term vision for energy storage Canada? You know, we're seeing movement in the sector. We're seeing more adoption. Where do you kind of see your organization, your association, going in the coming years. We expect   Justin Rangooni  37:46 it to continue to grow as the sector grows. And really what we want to see is that in every jurisdiction, with every utility, and soon to get down to the residential that they're seeing energy storage technologies as a viable option. So if you're a system operator, or you're a government and you're looking at the supply mix and saying, Well, how are we going to make sure we can keep the lights on while keeping rates low, energy storage is like, if not the first option, it is up there. And that's really the vision. Now this is seen as a mainstream resource, that it is no question that you wouldn't look at energy storage as part of your solution, on the distribution level or at the transmission level. So the very exciting vision, and again, we talked about the residential and becoming a prosumer, and then that really is the opportunities start to become even more endless.   Trevor Freeman  38:34 Yeah, it's one of the things. I mean, our listeners are probably roll their eyes because they hear me say this all the time. But one of the things I like about being in this sector, this kind of energy space, is exactly that you can see the vision for how these various technologies, these strategies, this sort of new way of dealing with energy, seem really exciting and really cool, but they're also not that far down the road, like we're in the midst of this change when it comes to all this technology, I think energy storage is a perfect example of that, where just a couple years ago, maybe four or five years ago, it was hard to even imagine where we are today and where we'll be in the very near future, because things are changing so fast. So I share your excitement for that vision. Thanks for sharing that with us, and no doubt, energy storage Canada will have a big role to play in that today and in the years to come. Justin, thanks very much for this conversation. We do always end our interviews with a series of questions, so I'm going to fire those at you now, and we'll see. We'll see what you come up with. So first question is always, what's a book that you've read that you think everybody should read? Okay,   Justin Rangooni  39:45 that's a great question. This is my favorite part of these podcast interviews, really. Um, we saw a little political jump junkie who likes Pulitzer Prize winning books, so I kind of focus on political history. So if you want. Ever want to read any of those that are the best? I would say the Teddy Roosevelt trilogy by Edwin Morris is a must read. They're fantastic. So that's when I read those. I'm like, Okay, this was, are you gonna top this? So you're always chasing that next book to read like that. That's   Trevor Freeman  40:16 awesome. I just as a complete aside, my kids school does this big used book sale every year, and it was just this past weekend, and you never know what you're going to find when you're like, wandering through the aisles and there's books there that you never heard of, and you pick something up. So I have this new stack of books at home that I can dive through, and I'm the same with you. I like to, yeah, read about some historical figure or some, like, important period when it comes to policy, and just kind of, yeah, try and get myself into that headspace. So, same question, but for a movie or a show, what's a movie or show you watch that you think everybody should   Justin Rangooni  40:52 Oh, well, it's gonna take, like, almost the exact opposite of like, seriousness. But you know, the officer Veep, you know you can go to those anytime, like just long lasting stand up. I think we're gonna be watching those episodes in the next 30 years, even though Veep is getting kind of more real than I think they originally thought.   Trevor Freeman  41:13 And yeah, in a kind of scary way, but I hear you, yeah, it's good to have those classics that you can always go back to if someone offered you a free round trip anywhere in the world, where   Justin Rangooni  41:24 would you go? Well, as we're taping this, and it's winter and it's cold and there's snow, probably somewhere like Fiji or Bora, Bora, where it's warm and there's beaches, so especially the warmth is where we're really emphasizing right now, I hear you in February.   Trevor Freeman  41:39 Yeah, absolutely. That's the joy and the curse of living in Canada. Who is someone that you admire?   Justin Rangooni  41:47 Well, I'd say you for doing these podcasts, but that is pretty cool that you're doing. Nate, so I appreciate it. You're on the list. Otherwise, I would say otherwise, frontline workers, you know, for even talking about even our sector, you know, you got lines men, you got people who are putting their lives on the line, nurses, teachers, doctors, police officers. You know, those who, every day are putting are on that front lines to do something for others. I think that's those are the real heroes out there.   Trevor Freeman  42:15 Awesome, great answer. And finally, what's something about the energy sector or its future that you're really excited about. And I know we kind of just talked about this, but I'll let you, I'll let you elaborate.   Justin Rangooni  42:26 Oh, it's an easy one, that it's continually evolving like nothing is stagnant. The way things are. We've seen today are going to change tomorrow, and energy storage is a fantastic example of that, where we first talked to 2021 Oh, we were just getting started now. Here we are, and the momentum is growing. If you have me again in another couple years, who knows where we're going to be at that time? So it's really exciting to see where, where it's going.   Trevor Freeman  42:50 Absolutely awesome. Great answer. Justin, thanks very much for your time. I appreciate the conversation. I appreciate your passion and excitement for this pretty cool technology that's going to have a big role to play as we kind of navigate this energy transition, and really already is playing a big role. So thanks for coming on. Thanks for your time and appreciate the   Speaker 1  43:08 conversation. Thanks for having me, Trevor talk again, my friend, awesome. Take care.   Trevor Freeman  43:15 Thanks for tuning in to another episode of the think energy podcast. Don't forget to subscribe wherever you listen to podcasts, and it would be great if you could leave us a review. It really helps to spread the word. As always, we would love to hear from you, whether it's feedback, comments or an idea for a show or a guest. You can always reach us at think energy, at hydro ottawa.com, you.  

Welcome back to The Hydrogen Podcast! I'm Paul Rodden, and today we're breaking down two major hydrogen headlines that could reshape the global energy landscape:

Artificial intelligence is transforming our world — and the energy sector. Earlier this year, the International Energy Agency (IEA) released a comprehensive report examining both AI's projected energy demands and how it  might reshape energy systems. But while headlines often raise alarms around electricity demand growth, the reality is more nuanced and complex. While data centers currently account for just 1.5% of global electricity use, that share is expected to double by 2030, driven largely by the growth of AI. In some regions, particularly in the US, data centers could account for nearly half of all electricity demand growth in the coming years. So how should we understand the relationship between AI and energy? What does this mean for power systems around the world? Is artificial intelligence a friend or foe to the clean energy transition? This week, Jason Bordoff speaks with Laura Cozzi, about the IEA's findings on AI's energy demands. Laura is the chief energy modeler at the International Energy Agency, and its director of sustainability, technology, and outlooks. She oversees the IEA's analytical work on energy, climate, and economic modeling, and led the team that produced the agency's report on artificial intelligence and energy. Credits: Hosted by Jason Bordoff and Bill Loveless. Produced by Mary Catherine O'Connor, Caroline Pitman, and Kyu Lee. Engineering by Gregory Vilfranc.  

Umetna inteligenca velja za tehnologijo, ki bo definirala 21. stoletje. Predvidena vlaganja vanjo v naslednjih nekaj letih gredo globalno gledano v bilijone dolarjev. Ob tem se bo občutno povečala tudi poraba elektrike, po ocenah IEA za štirikrat v le petih letih. Novi podatkovni centri se tako vse bolj načrtujejo skupaj s lastnim virom energije, od jedrskih elektrarn do polj vetrnic. Zakaj je sodobna umetna inteligenca tako lačna energije, koliko energije terja eno vprašanje ChatGPT-ju in kaj se pravzaprav dogaja v sodobnih podatkovnih centrih, so preverjali v oddaji Intelekta, ki jo vnovič predvajamo v oddaji Studio ob 17.00. Gostje: dr. Andrej Filipčič, Inštitut Jožef Stefan in Univerza v Novi Gorici; dr. Iztok Lebar Bajec, Fakulteta za računalništvo in informatiko Univerze v Ljubljani; dr. Uroš Lotrič, Fakulteta za računalništvo in informatiko Univerze v Ljubljani; dr. Patricia Bulić, Fakulteta za računalništvo in informatiko Univerze v Ljubljani.

IEA預測今年全球電動車銷售將突破2000萬輛，中國、歐洲成長強勁，轉型大勢依舊。但美國卻逆風而行——從補貼退場、油價偏低到川普反撲，讓電動車政策與民意同步轉向，「綠反挫」成為國際焦點。 台灣如何因應這場轉型分流？ 從產業佈局到電動機車推動，從充電設施不足到消費者不買單，政策目標喊得響，但落地難度高。 本集專訪邱俊榮教授，從美國市場風向變化談到台灣內部的轉型焦慮與機會。 #台達基金會 #氣候戰役在台灣 ★本集重點： 1️⃣ 全球電動車持續成長，但美國成「綠反挫」震央 2️⃣ 台灣機車電動化卡關：從產業現實到政策盲點 3️⃣ 公正轉型不能只靠補助，更要跨部會協調與長期調適 Powered by Firstory Hosting

The Future of Geothermal. What is it and how does it play out? The recent report by the IEA with the aforementioned title "The Future of Geothermal" goes into detail on the past, present and future of geothermal, new technologies, startups, oil and gas crossover, and so much more. It is well worth a read, but in the meantime, I sat down with Heymi Bahar, a senior analyst with the IEA to talk about the report in detail, giving a view into what the future may indeed hold for this amazing resource - the heat beneath our feet.  Heymi Bahar https://www.linkedin.com/in/heymi-bahar/IEA https://www.linkedin.com/company/international-energy-agency/posts/?feedView=allHeymi's Book Recommendation The Perfectionist: Life and death in Haue cuisine by Stephen Chelminski Nick Cestari https://www.linkedin.com/in/nick-cestari-48059268/CORE Knowledge https://www.linkedin.com/company/core-geothermal

Welcome to The Hydrogen Podcast! I'm Paul Rodden, and today kicks off Part 1 of our special two-part series on building the U.S. hydrogen economy by 2035. In this episode, we break down the four core hydrogen production technologies shaping America's clean energy strategy:

Chris Snowden of the IEA, a neoliberal think tank, joins Ava in the JOETowers basement to talk smoking, gambling, and threats to the neoliberal way of life. Hosted on Acast. See acast.com/privacy for more information.

欢迎收听雪球出品的财经有深度，雪球，国内领先的集投资交流交易一体的综合财富管理平台，聪明的投资者都在这里。今天分享的内容叫伊以冲突与全球能源市场脆弱性分析，来自航向向东。当前伊以冲突已超越单纯军事对抗，演变为对全球能源供应链的战略性威胁。尽管冲突尚未直接导致霍尔木兹海峡全面封锁或伊朗石油产能崩溃，但其潜在破坏力已引发市场恐慌性溢价。根据BCA Research报告，未来六个月全球石油供应面临超过1000万桶/日重大冲击的概率高达55%，这将使油价波动幅度达到50%-100%。与历史石油危机相比，当前局势在供应中断规模上可能不及1973年或1979年，但在市场心理层面已形成类似1970年代的恐慌情绪，且叠加了地缘政治风险溢价和供应链脆弱性。面对这一挑战，OPEC+的备用产能和美国页岩油的增产潜力难以完全弥补潜在缺口，而国际能源署战略石油储备释放的协同效应有限，这使得全球能源市场正站在”如履薄冰”的关键节点。一、伊朗石油供应与霍尔木兹海峡的战略地位伊朗作为全球第七大石油生产国，其能源地位不容忽视。截至2025年4月，伊朗原油产量约为331万桶/日，位居OPEC第三大产油国。伊朗石油出口量在2025年5月约为166万桶/日，但冲突爆发后激增至233万桶/日，显示其短期产能未受显著影响。然而，伊朗石油出口高度依赖灰色渠道，约90%流向远东，其余出口至叙利亚、委内瑞拉等国家。这种非正规贸易网络面临美国制裁的持续压力，2024年灰色船队的出口量已从120万桶/日收缩至约80万桶/日。霍尔木兹海峡的战略地位更为关键。这条位于伊朗与阿曼之间的狭窄水道是全球能源运输的咽喉要道。每天约有2090万桶原油通过该海峡，占全球石油液体消费量的21%。其中，伊朗、沙特、阿联酋、伊拉克、科威特和卡塔尔等波斯湾国家的石油出口几乎全部依赖这一通道。更值得注意的是，通过霍尔木兹海峡的石油运输中有83%流向亚太地区，这意味着该地区对霍尔木兹海峡的依赖度最高。冲突爆发后，霍尔木兹海峡的航运流量已出现初步变化。联合海事信息中心(JMIC)数据显示，6月15日通过该海峡的货轮数量为111艘，较6月12日的116艘略有减少，降幅约4%。尽管关键石油基础设施尚未受到重大干扰，但航运公司已开始采取规避措施。BIMCO首席安全与安保官拉森表示：“越来越多的货船正选择远离红海和波斯湾，以及具有重要战略意义的霍尔木兹海峡。”Frontline首席执行官拉斯·巴斯塔德也确认：“我们现已全面暂停签署进入波斯湾的新合约。”值得注意的是，伊朗封锁霍尔木兹海峡的能力虽存在，但其实施意愿受到多重制约。伊朗拥有2000-3000枚水雷和射程超过300公里的反舰导弹，理论上具备封锁海峡的能力。然而，伊朗经济严重依赖石油出口，封锁海峡将导致自身石油出口停滞，造成经济崩溃。此外，1988年美伊霍尔木兹海峡之战中，伊朗海军遭受重创，几艘主力军舰被美国海军编队击沉或击伤，几乎全军覆没。这一历史教训使伊朗对封锁海峡的军事后果保持警惕。二、当前局势与历史石油危机的对比分析伊以冲突引发的能源危机风险与历史上三次重大石油危机有相似之处，但也存在显著差异。1973年石油危机由OPEC对以色列实施禁运引发，全球供应减少约750万桶/日，油价从13美元/桶飙升至54美元/桶，持续时间约1年。1979年石油危机由伊朗伊斯兰革命引发，伊朗产量从580万桶/日骤降至100万桶/日，叠加两伊战争，全球供应缺口扩大至约600万桶/日，油价从13美元/桶飙升至35美元/桶，持续约2年。1990年海湾战争由伊拉克入侵科威特引发，导致两国约400万桶/日的供应中断，油价从21美元/桶涨至46美元/桶，持续9个月。当前局势与历史危机的相似性主要体现在：冲突直接威胁能源基础设施，引发市场恐慌性溢价；关键产油国产量可能因冲突而下降；地缘政治风险溢价推高油价。例如，伊朗已威胁关闭霍尔木兹海峡，这与1973年OPEC禁运和1979年伊朗革命时的威胁相似。同时，以色列对伊朗能源设施的打击可能导致伊朗石油产量下降，与历史上产油国产能崩溃的模式相似。然而，当前局势与历史危机也存在显著差异：供应中断规模与范围、市场机制变化、地缘政治参与方、经济背景差异。具体而言：当前局势最显著的差异在于供应中断规模与范围。伊朗当前出口量仅占全球4%，即使完全中断，缺口也仅为170万桶/日，远小于历史危机中的中断规模。此外，当前冲突未引发产油国集体行动，且主要集中在伊朗与以色列之间，未直接波及沙特等核心产油国。三、全球能源市场应对供应中断的能力评估面对潜在的石油供应中断，全球能源市场拥有多层次的应对机制，但其有效性受到多重制约。OPEC+的备用产能是市场的主要缓冲力量，但根据高盛2025年6月报告，当前OPEC+实际产能利用率已达89.7%，其中沙特、阿联酋等核心产油国的剩余产能仅存550万桶/日，接近历史低位。即使沙特理论上具备250万桶/日的增产空间，阿联酋宣称485万桶/日的最大生产能力，但实际增产能力受到长期减产政策和投资不足的限制。例如，沙特近年来将资源转向其他项目，停止扩充备用产能，这使其在应对突发危机时的灵活性大打折扣。美国页岩油是另一个重要的供应缓冲。截至2025年7月，美国页岩油产量预计将达到1320万桶/日，创历史新高。然而，页岩油的增产潜力受到钻井数和完井周期的制约。2025年贝克休斯活跃石油钻机数量为394台，尽管与2024年相比增加了181台，但仍处于历史较低水平。钻机数量上升通常滞后于原油价格上涨约4-6个月，这意味着即使油价飙升，页岩油企业也需要时间才能实现产量增长。此外，页岩油产量的提升更多是依靠DUC，而当前DUC库存已降至2013年以来的最低水平，这进一步限制了页岩油的增产能力。国际能源署战略石油储备是应对短期供应中断的重要工具。摩根大通分析师指出：“全球国家极不可能'协同释放战略石油储备'。”即使在2022年俄乌冲突期间，除美国外的IEA成员国也仅同意释放6000万桶石油储备，远低于美国的1.8亿桶。此外，战略石油储备的释放存在时间滞后，从宣布到实际投放市场通常需要2周以上的时间，这使得储备释放难以应对突发的供应中断。非OPEC产油国的产能释放也是市场关注的焦点。巴西深海油田、圭亚那陆上区块的新增产能持续释放，2025年非OPEC国家原油产量增速预计达2.3%。然而，这些新增产能主要集中在特定区域，且运输路线受限，无法完全替代霍尔木兹海峡的运输量。例如，巴西石油需要通过海运抵达亚洲市场，而圭亚那石油则主要面向美国市场。四、价格波动幅度预测与市场心理分析基于当前局势和历史经验，重大供应冲击将导致油价波动幅度达到50%-100%，远超当前市场预期。这一预测基于三个关键因素：潜在供应中断规模、市场恐慌溢价、以及备用产能释放的滞后性。首先，潜在供应中断规模可能远超当前实际影响。伊朗已威胁关闭霍尔木兹海峡，若实施将导致每天约2000万桶的石油运输中断。虽然伊朗不太可能全面封锁海峡，但”灰色干扰”手段可能导致运输成本上升和风险溢价增加。此外，以色列已打击伊朗的炼油厂、储油设施和天然气加工厂，若冲突升级，可能进一步破坏伊朗的能源基础设施，导致产量下降。其次，市场恐慌溢价已显著上升。布伦特原油期货价格在6月13日袭击事件后单日暴涨13%，创俄乌冲突以来最高涨幅。这一涨幅远超实际供应中断的影响，主要源于市场对潜在供应风险的恐慌性预期。恐慌溢价的持续存在将使油价波动幅度扩大，即使供应中断规模有限，也可能引发50%-100%的价格波动。再者，备用产能释放的滞后性将加剧价格波动。OPEC+的备用产能和美国页岩油的增产潜力需要3-6个月才能完全释放，而供应中断可能在短期内发生，这种时间差将导致油价在短期内大幅波动。此外，战略石油储备的释放也存在时间滞后，从宣布到实际投放市场通常需要2周以上的时间，这使得储备释放难以应对突发的供应中断。与历史石油危机相比，当前市场对价格波动的承受能力有所增强，但仍有脆弱性。1973年油价上涨315%和1979年上涨169%均导致全球经济衰退，而当前全球经济对高油价的承受能力因能源结构多元化而增强。例如，美国页岩油产量的大幅增长使其对中东石油的依赖度显著下降，从2010年的60%降至2025年的30%以下。此外，远东等新兴经济体在能源消费结构上更加多元化，减少了对单一能源的依赖。然而，当前全球经济仍面临通胀压力，高油价将进一步加剧这一压力，对经济复苏构成挑战。五、供应链多元化与地缘政治风险溢价伊以冲突引发的能源危机风险凸显了全球能源供应链的脆弱性，同时也加速了供应链多元化进程。供应链多元化已成为应对地缘政治风险的主要策略，包括运输路线多元化、供应来源多元化和能源消费结构多元化。运输路线多元化方面，油轮运费因绕行好望角单日飙升24%，VLCC日均收益达5.1万美元。这种运费上涨反映了市场对霍尔木兹海峡安全风险的担忧，以及对替代运输路线的迫切需求。然而，绕行路线无法完全替代霍尔木兹海峡的运输量，因为绕行增加了运输时间和成本，且需要更多的油轮运力。例如，绕行好望角的运输时间比经霍尔木兹海峡长30%-40%，这使得替代运输路线的经济性受到挑战。供应来源多元化方面，远东等主要进口国已开始减少对伊朗石油的依赖。然而，这种多元化进程仍面临挑战，因为沙特等国的石油出口也依赖霍尔木兹海峡，且其备用产能有限。例如，沙特2025年的备用产能约为190万桶/日，远低于其2020年疫情前的250万桶/日水平。地缘政治风险溢价已成为油价的重要组成部分。高盛分析指出，当前布伦特原油期货价格中的地缘政治风险溢价约为10美元/桶，主要源于中东局势的不确定性。这一溢价已部分反映了市场对潜在供应中断的担忧，但若冲突升级，溢价可能进一步上升。例如，若伊朗采取极端措施，如关闭霍尔木兹海峡或袭击地区石油基础设施，油价可能飙升至每桶超过94美元，市场反应将极为剧烈。六、全球能源市场前景面对伊以冲突引发的能源危机风险，全球能源市场前景复杂多变，需要采取多层次的应对策略。短期来看，市场将维持”乱而不战”的紧张态势，油价波动性将显著增加。布伦特原油价格可能在75-80美元/桶区间波动，较当前水平存在6.5%-10%的上行空间。这种波动性将主要由地缘政治风险溢价驱动，而非实际供应中断。中长期来看，能源市场将经历结构性调整。一方面，OPEC+的备用产能有限且高度集中于沙特和阿联酋，这使得全球市场在面对伊朗危机时显得脆弱不堪。高盛预测，OPEC+将于2025年8月正式结束持续14个月的增产周期，届时全球原油市场供需格局可能迎来结构性调整。另一方面，美国页岩油、巴西深海油田等非OPEC产能的持续释放将为市场提供一定缓冲，但其增产潜力受到钻井数和完井周期的制约。七、结论与展望若冲突升级导致伊朗石油产能大幅下降或霍尔木兹海峡运输受阻，全球能源市场将面临严峻考验。面对这一挑战，各国需采取多层次的应对策略，包括加强战略石油储备管理、推动能源消费结构多元化、加强国际能源合作等。能源转型将是长期应对地缘政治风险的关键，但短期内仍需依赖传统石油供应。因此，维护中东地区的能源安全稳定对全球经济发展至关重要。未来六个月，伊以冲突的走向将直接影响全球能源市场。BCA Research预测的三种情景各有不同的影响路径。无论哪种情景，全球能源市场都将面临不同程度的供应中断风险，油价波动幅度可能达到50%-100%，这将对全球经济复苏构成挑战。因此，各国需保持警惕，及时调整能源政策，以应对可能的能源危机。

Kate Roncarati Paul is the head coach of the Northeastern University Equestrian Team and has led an IEA team since 2018—both heading to nationals this year. She began as a working student and competed primarily on the local circuit before studying equine science at Mount Ida College, where she captained the IHSA team. After college, she worked under her former coach, Julie Chandler (Kelly), and returned to Massachusetts in 2017 to rejoin her at Cranberry Acres in Marshfield, MA—now home to both her teams. This year marks a milestone, with Northeastern making its first-ever appearance at IHSA Nationals.

Today we're excited to welcome Patrick White, Group Lead for Fusion Energy Safety and Regulation at the Clean Air Task Force (CATF), and Nicholas McMurray, Managing Director of International and Nuclear Policy at ClearPath. Patrick recently joined CATF and leads the organization's international working group focused on fusion energy safety, waste, and non-proliferation. He holds a Ph.D. in Nuclear Science and Engineering from MIT and previously served as Research Director at the Nuclear Innovation Alliance. Niko is an expert in industrial policy, nuclear energy policy, and regulation. He has been with ClearPath since 2019 and formerly served as a Materials Engineer at the U.S. Nuclear Regulatory Commission (NRC). A few weeks ago, Veriten partnered with CATF and ClearPath to publish a paper calling out reforms to NRC processes and procedures to accelerate the deployment of new nuclear reactors; establishing a more efficient regulatory framework for new and advanced reactors (paper linked here). We were thrilled to host Patrick and Niko for a discussion on the paper and broader trends in the nuclear landscape. Brett Rampal, Senior Director of Nuclear and Power Strategy at Veriten, joined for the conversation and led Veriten's contribution to the paper. In our discussion, Patrick and Niko share background on their organizations' missions and long-standing support for nuclear. We explore the need to demystify and modernize NRC processes to accommodate next-generation nuclear technologies, challenges with current regulatory frameworks originally designed for traditional large light-water reactors, the role of licensing structures and the value of more flexible licensing pathways, and the motivation behind their recent paper, which aims to provide actionable, bipartisan policy suggestions to enable nuclear deployment at scale. We examine the historical development and regulatory evolution of power versus non-power reactor definitions, how those distinctions have blurred over time, the shift toward performance-based regulation, and the commercial implications of licensing small reactors under Class 103. We discuss the importance of consistent terminology and regulatory clarity in advancing new nuclear technologies, whether the NRC's internal culture can evolve to support faster deployment without compromising safety, the NRC's broader oversight role beyond reactors including medical and industrial applications of radioactive materials, and congressional support for NRC modernization. Patrick and Niko provide insights into international regulatory approaches, such as performance-based models used in the UK, France, and Canada, the critical need to earn public trust through rigorous and efficient safety regulation, the feasibility of President Trump's goal of having 10 new reactors under construction by 2030, challenges beyond regulation, and much more. We greatly enjoyed the conversation. To start the show, Mike Bradley noted that the S&P 500 closed modestly lower on the day, while crude oil prices caught a bid amid escalating tensions in the Mideast. On the bond front, the 10-year bond yield (~4.4%) has pulled back over the last few days as markets await the outcome of the June 18th FOMC rate decision meeting. Consensus is for no change in interest rates at this FOMC meeting, but a cut is expected at the September meeting. From a crude oil market standpoint, WTI price has spiked by >$10/bbl to ~$74/bbl over the last five trading days due to the Iranian-Israeli military conflict. While Veriten isn't in the business of making short-term crude oil price calls based on supply disruption threats, we continue to emphasize that global oil demand growth projections are a more vital determinant for intermediate-term oil prices. On the global S/D front, the IEA recently modeled global oil demand peaking in 2029 (China in 2027), contra

Lindsay Shaw began riding at the age of 8 with an ever growing passion for the sport and horses. Lindsay attended the Grier School, having the top Interscholastic Equestrian program in the country, from 8th -12th grade and competed in USEF, USDF, and IEA shows with her team. She attended Emory & Henry University in 2020 and competed at IDA and IHSA shows. While at Emory & Henry, Lindsay earned the Female Newcomer Athlete of the Year for the 2020-2021 season and was Champion in First Level at IDA Nationals, helping her team win a national championship in 2024. Lindsay now works at her alma mater, Grier School, as an Admissions and Marketing Associate and Assistant Director of Summer Camp. 

This week, our special guest is Daniel Yergin, Vice Chairman of S&P Global and Chairman of S&P's CERAWeek conference. Daniel is the Pulitzer Prize-winning author of “The Prize: The Epic Quest for Oil, Money, and Power”. His most recent book is “The New Map: Energy, Climate, and the Clash of Nations”. Please note that the interview with Daniel Yergin was recorded on June 11th, before the Israel and Iran conflict began on June 13th, 2025. Here are some of the questions Peter and Jackie asked Daniel Yergin: Why did you describe the energy transition as troubled and in need of a pragmatic path forward? Do you believe there is a growing consensus that the “fast energy transition” scenario is unrealistic? Do you anticipate Europe softening its green policies and subsidies or extending timelines for net-zero goals? How do you foresee the trade war and competition between the G2 (the United States and China) evolving? How dominant is China in clean energy, and what implications does this hold for the United States' ability to compete? What is OPEC's motivation for reintroducing supply to the market during a period of weaker demand? What strategy would you recommend for Canada to address US trade pressures and potential annexation threats? Content referenced in this podcast:Foreign Affairs, “The Troubled Energy Transition: How to Find a Pragmatic Path Forward” by Daniel Yergin, Peter Orszag, and Atul Arya (April 2025) Please review our disclaimer at: https://www.arcenergyinstitute.com/disclaimer/ Check us out on social media: X (Twitter): @arcenergyinstLinkedIn: @ARC Energy Research Institute Subscribe to ARC Energy Ideas PodcastApple PodcastsAmazon MusicSpotify 

欢迎收听雪球出品的财经有深度，雪球，国内领先的集投资交流交易一体的综合财富管理平台，聪明的投资者都在这里。今天分享的内容叫伊以冲突利好油气核心公司最全梳理，来自兰板套利。油价波动的深层原因伊以冲突对原油供应产生了多方面的直接影响。伊朗是全球重要的石油生产和出口国，冲突爆发后，伊朗石油出口受阻风险急剧增加。一方面，以色列的军事打击可能破坏伊朗的石油生产设施，包括油田、炼油厂等。一旦这些设施受损，伊朗的石油产量将大幅下降，进而减少国际市场的原油供应。另一方面，霍尔木兹海峡作为全球石油运输的 “咽喉要道”，伊朗扼守此地。在冲突升级的紧张局势下，霍尔木兹海峡的运输风险大幅提升。若伊朗采取封锁海峡等极端措施，全球约 20% 的石油供应将面临中断危机，这无疑会给国际原油市场带来 “地震” 般的冲击。市场恐慌情绪和投资者预期也在油价暴涨中起到了推波助澜的作用。地缘政治冲突往往会引发市场的恐慌情绪，投资者对原油供应稳定性的信心受到严重打击。当伊以冲突爆发的消息传出，投资者纷纷担忧原油供应短缺，这种担忧转化为实际的市场行为，大量资金涌入原油期货市场，抢购原油期货合约，推动油价快速上涨。从以往类似地缘政治冲突的经验来看，2011 年利比亚战争期间，市场对利比亚石油供应中断的担忧，使得国际油价在短时间内大幅攀升。此次伊以冲突，投资者基于同样的恐慌心理和对未来原油供应短缺的预期，不断推高油价。油气产业链核心公司剖析上游：油气勘探与开采在油气产业链的上游，中石油、中石化、中海油这三家国企巨头无疑占据着主导地位。中石油，作为中国最大的石油和天然气生产商，其探明石油储量在 100 亿桶以上。在国内，大庆油田、长庆油田等陆上油田是其核心资源产地，多年来持续为国内提供稳定的油气供应。在国际布局上，中石油积极响应 “一带一路” 倡议，在中亚的哈萨克斯坦参与了阿克纠滨项目、PK 项目等，在伊拉克参与鲁迈拉油田项目。这些海外项目不仅为中石油带来了丰富的油气资源，也提升了其在国际市场的影响力。凭借雄厚的资金和先进的技术，中石油在勘探开采技术上不断突破，如在页岩气开采技术上取得重要进展，提高了开采效率和产量。伊以冲突爆发后，国际油价上涨，中石油作为油气生产企业，其销售收入和利润得到显著提升。不过，冲突也带来了一定风险，国际油价的大幅波动可能影响其未来的收益预期，同时，地缘政治的不稳定也可能对其海外项目的运营产生潜在威胁。中石化的石油储量约为 50 亿桶左右，资源主要集中在东部和南部地区，像胜利油田、中原油田等。中石化以炼化和销售业务见长，上游勘探开采业务相对中石油规模较小，但在技术创新上也不遗余力。其研发的高效采油技术，有效提高了油田采收率。在海外，中石化积极拓展油气资源，在中东、非洲等地参与多个油气项目，保障原油的稳定供应。伊以冲突导致油价上涨，中石化在油气开采业务上的收益增加，但其炼化业务成本上升，需要在成本控制和产品价格调整上寻求平衡。中海油专注于海上油气勘探开发，探明石油储量约为 30 亿桶左右，资源主要分布在渤海、南海和东海等海域。中海油在海上油气开发技术上优势明显，自主掌握 1500 米超深水钻井技术，全球首套 “深海油气 + 浮式风电” 一体化平台投运，大大降低了作业成本。在海外，中海油在澳大利亚、非洲和南美等地区拥有大量油气资源。伊以冲突使油价上升，中海油的海上油气开采业务利润大幅增长。但海上油气开采受地缘政治和国际油价波动影响较大，冲突带来的不确定性增加了其运营风险。除了国企巨头，通源石油、贝肯能源等民营企业也在油气上游领域展现出独特的竞争力。通源石油是射孔技术细分龙头，在北美市场射孔弹市占率超 20%。其研发的高密度复合射孔技术，能有效提升单井产量 30%，已获科威特国家石油公司批量采购。国内非常规油气开发补贴政策的实施，为通源石油带来了发展机遇，订单增速有望大幅提升。伊以冲突使国际油价上涨，油气开采企业对射孔服务的需求增加，通源石油订单量明显上升。但随着市场竞争加剧，通源石油需要不断提升技术水平，以应对来自国内外同行的竞争挑战贝肯能源是页岩气钻井服务领先者，在四川盆地页岩气钻井市场不断拓展，目标是到 2025 年市占率达到 30%。其自主研发的旋转导向系统精度达 0.1°，水平井钻井周期缩短至 25 天，较传统技术快 40%，大大提高了钻井效率和质量。贝肯能源积极拓展海外市场，中标乌兹别克斯坦 50 亿元钻井项目，计划 2025 年海外收入占比提升至 40%。伊以冲突推动油价上涨，刺激了油气开采投资，贝肯能源获得了更多钻井项目机会，但同时也面临着原材料价格上涨、汇率波动等风险。中游：油气炼化与运输油气产业链中游的炼化企业，恒力石化和荣盛石化是其中的代表。恒力石化作为民营炼化巨头，拥有完整的炼化一体化产业链。在原油价格波动的情况下，恒力石化通过优化采购策略，与全球主要原油供应商建立长期合作关系，确保原油稳定供应的同时，降低采购成本。在产品价格调整上，恒力石化根据市场需求和原油价格变化，灵活调整产品结构，提高高附加值产品的生产比例。例如，在油价上涨时期，增加化工产品的生产，减少成品油生产，以提高利润空间。伊以冲突导致油价上涨初期，恒力石化因原材料成本上升，利润受到一定挤压，但随着产品价格的调整和高附加值产品销量的增加，逐渐缓解了成本压力，利润开始回升。不过，原油价格的大幅波动仍然给恒力石化的成本控制和利润稳定带来挑战。荣盛石化同样构建了完善的炼化产业链，在原油采购上，利用自身规模优势，通过长期合同与现货采购相结合的方式，降低采购风险。在产品销售方面，荣盛石化积极拓展国内外市场，与众多下游企业建立紧密合作关系。面对伊以冲突引发的油价波动，荣盛石化加强内部管理，优化生产流程，降低生产能耗，提高生产效率，以消化成本上升压力。同时，加大研发投入，开发新产品，提高产品差异化竞争优势。然而，荣盛石化在油价上涨过程中，成本上升幅度较大，产品价格调整存在一定滞后性，导致利润空间受到一定压缩，需要进一步提升市场应对能力。在油气运输领域，中远海能和招商轮船是行业的重要力量。中远海能拥有庞大的油轮船队，在全球油运市场占据重要地位。随着伊以冲突升级，油轮运费上涨，中远海能的运输业务收入大幅增长。高盛发布研报指出，美国对俄罗斯能源部门的制裁导致油轮供应受限，运费有上升风险，这将进一步提升中远海能的盈利。但运费上涨也吸引了更多竞争对手进入市场，市场竞争加剧。此外，地缘政治冲突可能导致运输路线安全风险增加，如霍尔木兹海峡局势紧张，增加了油轮运输的不确定性。招商轮船同样拥有丰富的油运业务经验和优质船队资源。通过优化航线规划，提高船舶运营效率，招商轮船在油运市场保持较强竞争力。伊以冲突带来的运费上涨，使招商轮船业绩得到显著提升。但招商轮船也面临着船舶老化、环保要求提高等问题，需要不断投入资金进行船舶更新和技术改造，以满足市场需求和环保标准，保持市场竞争优势。下游：油气销售与服务在油气产业链下游的销售环节，中国石化销售公司和中国石油天然气销售公司占据着主导地位。中国石化销售公司拥有庞大的加油站网络，遍布全国各地，在油品供应上，凭借中石化强大的炼化能力，能够确保稳定的油品供应。面对伊以冲突导致的油价波动，中国石化销售公司在价格策略上采取灵活调整的方式。当油价上涨时，适当提高油品零售价格，同时推出优惠活动和增值服务，吸引消费者。在市场份额方面，凭借品牌优势和优质服务，巩固和扩大市场份额。但随着新能源汽车的发展和市场竞争的加剧，传统油品销售面临一定挑战，需要加快业务转型，拓展非油业务，如发展便利店、充电桩等中国石油天然气销售公司同样拥有广泛的销售网络和客户群体。在油品供应保障上，依托中石油的油气资源和炼化产能，确保油品的稳定供应。在价格策略上，与市场接轨，根据国际油价和国内市场情况进行调整。通过开展差异化营销活动，提升客户忠诚度，保持市场份额稳定。然而，市场竞争的日益激烈，特别是来自民营加油站和外资加油站的竞争，对其市场份额构成一定威胁，需要不断提升服务质量和品牌形象，以应对竞争挑战。油气设备制造商杰瑞股份和石化机械在产业链下游也发挥着重要作用。杰瑞股份作为全球压裂设备龙头，电动压裂泵市占率超 60%。在产品创新方面，杰瑞股份积极布局氢能压裂装备，实现零碳排放，单台设备作业效率提升 25%，已获中石化 10 台订单。通过联合华为开发智慧油田操作系统，杰瑞股份推动油田智能化发展，提高客户服务水平。伊以冲突引发的油气市场波动，使油气开采企业对先进设备的需求增加，杰瑞股份订单量上升。但随着市场竞争加剧，需要不断加大研发投入，保持技术领先优势。石化机械专注于油气装备制造，在技术升级上不断努力，研发出一系列高性能的油气开采设备。面对伊以冲突带来的市场变化，石化机械积极调整产品结构，满足客户对高效、环保设备的需求。通过加强与油气开采企业的合作，及时了解市场需求，优化产品设计和生产。然而，在市场竞争中，石化机械面临着来自国内外同行的竞争压力，需要进一步提升产品质量和性价比，拓展市场份额。投资风险与机遇并存伊以冲突的不确定性使得油气市场波动剧烈，投资者面临着巨大的风险。一旦冲突缓和，油价可能迅速回落。例如，历史上的中东地缘政治冲突，当冲突局势缓解后，油价往往在短期内大幅下跌。2018 年美伊紧张局势缓和阶段，国际油价在短短一个月内下跌了 20% 左右。对于投资者而言，若在冲突期间因油价上涨而盲目投资油气相关资产，当油价回落时，资产价值将大幅缩水，导致投资损失。能源转型的加速也给油气行业带来了长期的挑战。随着全球对气候变化问题的关注度不断提高，各国纷纷加大对可再生能源的开发和利用，太阳能、风能、水能等可再生能源的技术不断进步，成本逐渐降低，市场份额不断扩大。国际能源署（IEA）预测，到 2050 年，可再生能源在全球能源结构中的占比将从目前的 20% 左右提升至 50% 以上，这将导致油气需求长期下降。油气公司若不能及时调整战略，加大对可再生能源领域的投资和布局，将在未来的市场竞争中处于劣势，其资产价值也将受到影响政策监管的变化也是油气公司需要面对的重要风险。政府对能源行业的监管政策不断调整，以适应能源转型和环保要求。例如，提高环保标准，要求油气公司在生产过程中减少污染物排放，这将增加油气公司的运营成本。一些国家还可能出台限制油气开采和消费的政策，这将直接影响油气公司的市场份额和利润。若油气公司不能及时了解和适应政策变化，可能会面临罚款、停产等风险，严重影响其正常运营。伊以冲突也为油气行业带来了一些机遇。冲突的加剧促使油气公司加大勘探开发投入，以保障能源供应的稳定性。为了降低对中东地区油气资源的依赖，各国纷纷鼓励油气公司在国内或其他地区开展勘探开发活动。这为油气公司提供了更多的业务机会，有助于其扩大市场份额，提高盈利能力。一些油气公司在非洲、南美洲等地区发现了新的油气资源，为公司的长期发展奠定了基础。技术创新也是油气行业发展的重要机遇。随着科技的不断进步，油气勘探开发技术、炼化技术、运输技术等不断创新，提高了生产效率，降低了成本。例如，水平井和多分支井技术的应用，能够提高单井产量和采收率，降低钻井成本；数字化和智能化技术的应用，实现了油气生产的远程控制、自动化操作和数据分析，提高了生产效率和安全性。油气公司加大技术创新投入，能够提升自身竞争力，在市场竞争中占据优势地位。新兴市场的需求增长也为油气公司带来了广阔的市场空间。随着全球经济的发展，新兴市场国家的工业化和城市化进程加速，对油气资源的需求不断增加。例如，中国、印度等亚洲国家，经济持续增长，能源需求旺盛，成为全球油气市场的重要消费力量。油气公司积极拓展新兴市场，与当地企业合作，能够实现互利共赢，促进公司业务的增长。冲突余波，未来可期伊以冲突给油气市场带来的影响是多维度且复杂的，既为油气核心公司带来了风险，也创造了机遇。从短期来看，冲突导致的油价大幅波动使得油气公司的业绩充满不确定性，投资者需要密切关注市场动态，及时调整投资策略，以规避风险。长期而言，能源转型的大趋势不可阻挡，油气公司必须积极拥抱变化，加大在可再生能源领域的探索和投入，实现业务的多元化发展。同时，技术创新将成为油气公司提升竞争力的关键，通过不断研发和应用新技术，提高生产效率，降低成本，增强自身在市场中的抗风险能力。对于投资者来说，伊以冲突下的油气市场既存在短期的交易性机会，也蕴含着长期的投资价值，但在投资过程中需保持谨慎乐观的态度，充分评估风险，把握机遇，做出明智的投资决策。

In today's episode of The Hydrogen Podcast, we dive into Newsweek's June 2025 article on the Neom Green Hydrogen Company (NGHC), the heart of Saudi Arabia's bold $500 billion Neom megaproject.

In this episode of The Hydrogen Podcast, we unpack the sobering truths from Oilprice.com's May 2025 article, "Green Hydrogen Faces Reality Check in Europe."

In this episode of the All Things Sustainable podcast, we continue our deep dive into methane emissions. Today we're exploring the role that private equity can play in eliminating methane emissions, including at abandoned oil and gas wells.  Methane is the second largest contributor to global warming behind carbon dioxide. And the fossil fuel sector is responsible for nearly one-third of methane emissions from human activity today. Record production of oil, gas and coal, combined with limited mitigation efforts, has kept emissions above 120 million metric tons annually, according to the International Energy Agency's 2025 Global Methane Tracker published in May. The IEA calls methane abatement a “crucial opportunity” to reduce near-term global warming.  To understand how some companies are tackling methane emissions at abandoned facilities, in the episode we talk with Zefiro Methane Corp., an environmental services company that specializes in methane abatement at abandoned oil and gas wells in the US. Zefiro is a portfolio company of private equity firm X Machina Capital Strategies, or XMC, which works to transform oil and gas assets into long-term, sustainable solutions.  We speak with Catherine Flax, Founding Member and President of Private Markets at XMC. On June 5, Catherine was appointed interim CEO of Zefiro Methane Corp., where she also serves on the board.  We also talk with Talal Debs, Founder and Managing Partner of XMC. Talal was CEO of Zefiro Methane Corp. from November 2023 until June 2025.  In the episode, Talal outlines how XMC takes a "full-spectrum energy investment" approach.   "Let's take all the energy that we can get economically, but make it as clean as possible with a mind towards: what are we going to do with the mess afterwards?" he says. "If we can do that ... we're capturing the full spectrum of opportunity without ignoring the full spectrum of risks."  Listen to our previous episode on methane emissions here.  Learn about energy transition data and services from S&P Global Commodity Insights.   This piece was published by S&P Global Sustainable1, a part of S&P Global.           Copyright ©2025 by S&P Global           DISCLAIMER   By accessing this Podcast, I acknowledge that S&P GLOBAL makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast. The information, opinions, and recommendations presented in this Podcast are for general information only and any reliance on the information provided in this Podcast is done at your own risk. This Podcast should not be considered professional advice. Unless specifically stated otherwise, S&P GLOBAL does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this Podcast, and information from this Podcast should not be referenced in any way to imply such approval or endorsement. The third party materials or content of any third party site referenced in this Podcast do not necessarily reflect the opinions, standards or policies of S&P GLOBAL. S&P GLOBAL assumes no responsibility or liability for the accuracy or completeness of the content contained in third party materials or on third party sites referenced in this Podcast or the compliance with applicable laws of such materials and/or links referenced herein. Moreover, S&P GLOBAL makes no warranty that this Podcast, or the server that makes it available, is free of viruses, worms, or other elements or codes that manifest contaminating or destructive properties.     S&P GLOBAL EXPRESSLY DISCLAIMS ANY AND ALL LIABILITY OR RESPONSIBILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL OR OTHER DAMAGES ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE, THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.   

In this episode of The Hydrogen Podcast, we explore two major hydrogen developments reshaping the global energy landscape.

En este episodio cubrimos los eventos más importantes después de la apertura del mercado: • Wall Street avanza antes de los datos de empleo: Los futuros suben: $SPX +0.2%, $US100 +0.4%, $INDU +0.3%. El mercado reacciona al débil reporte ADP, que mostró el menor nivel de contrataciones privadas en más de dos años. Hoy se esperan solicitudes por desempleo (236K) y productividad. El dato clave del empleo mensual se conocerá el viernes. • Oro sube por refugio ante debilidad económica y tensiones: El oro cerró al alza tras la contracción del PMI servicios (49.9) y la caída del dólar (-0.5%). Los aranceles al acero y aluminio duplicados por Trump y la tensión con China aumentan la demanda de refugio. ING destaca que bancos centrales siguen acumulando oro como parte de su estrategia de diversificación. • Cleveland-Cliffs cancela megaproyecto de hidrógeno en Ohio: $CLF abandonó su plan de $500M por falta de hidrógeno limpio y trabas regulatorias. El CEO criticó la política energética de Trump y la falta de recortes de tasas de la Fed. La compañía buscará renegociar el uso de los fondos y extender el ciclo de sus hornos tradicionales. • Inversión global en energía alcanzará $3.3T en 2025, liderada por renovables: Según la IEA, $2.2T serán para energía limpia (solar, nuclear, baterías), el doble que fósiles. La solar lidera con $450B; el gasto en redes supera los $400B. Pese a las cifras, los países en desarrollo enfrentan dificultades para atraer capital suficiente. Una jornada marcada por cifras débiles que refuerzan la expectativa de pausa en tasas, tensiones comerciales y avances en la transición energética. ¡No te lo pierdas!

Umetna inteligenca velja za tehnologijo, ki bo definirala 21. stoletje. Predvidena vlaganja vanjo v naslednjih nekaj letih gredo globalno gledano v bilijone dolarjev. Ob tem se bo občutno povečala tudi poraba elektrike, po ocenah IEA za štirikrat v le petih letih. Novi podatkovni centri se tako vse bolj načrtujejo skupaj s lastnim virom energije, od jedrskih elektrarn do polj vetrnic. Zakaj je sodobna umetna inteligenca tako lačna energije, koliko energije terja eno vprašanje ChatGPT-ju in kaj se pravzaprav dogaja v sodobnih podatkovnih centrih, preverjamo v tokratni Intelekti, v kateri sodelujejo prof. dr. Andrej Filipčič z Inštituta Jožef Stefan in Univerze v Novi Gorici ter izr. prof. dr. Iztok Lebar Bajec, prof. dr. Uroš Lotrič in prof. dr. Patricio Bulić s fakultete za računalništvo in informatiko Univerze v Ljubljani.

In this episode of The Hydrogen Podcast, we unpack the Forbes article “What Happened to the Hydrogen Economy?” by Robert Rapier and break down the five reasons hydrogen hasn't revolutionized the energy sector—yet.From the broken promises of Bush-era policy to the economics of modern hydrogen production, we explore what went wrong, and more importantly, what's next.We spotlight low-cost, low-carbon intensity (CI) hydrogen production methods—steam methane reforming (SMR) with carbon capture, natural hydrogen, and methane pyrolysis—that could finally build a demand-driven U.S. hydrogen economy.We also reveal why the repeal of the Section 45V tax credit might actually push the industry forward and how the Midwest could emerge as the next hydrogen hub by powering ammonia production with natural hydrogen at $0.50–$1/kg.

Penguin poop might be cooling the planet by seeding clouds over Antarctica! A new study shows how ammonia from penguin guano helps form reflective cloud cover. Meanwhile, a $10 billion geoengineering plan proposes to deploy 500,000 undersea drones to regrow Arctic sea ice. Can technology save the poles—and should it? Support our podcast on Patreon and get exciting perks!  We also bust myths about EV fires after The Telegraph claims they're on the rise.  Plus, an Edmonton pilot project is using secret tech to stop EV charger cable theft—and it's already working. Also in this episode: Solar fences at Zurich Airport could boost solar production 20x by 2040. Read more Quebec investors rescue Lion Electric, keeping Canadian school bus EV dreams alive. Full story The new Pope Leo vows to continue Francis's environmental legacy. Lightning Round: Global EV sales rose 35% in Q1 2025. IEA report Climate change has reduced global wheat yields by ~10%. Source Hyundai's robotic EV chargers are live at a Korean airport. Details Macdonald-Laurier Institute says Canada doesn't need new oil pipelines. More Edmonton's secret anti-theft tech leads to arrests at EV chargers. Read Contact Us cleanenergyshow@gmail.com or leave us an online voicemail: http://speakpipe.com/clean PayPal Donate offers one-time or regular donations. The Clean Energy Show Store. Copyright 2025.    

Today on The Hydrogen Podcast, we explore three critical stories shaping hydrogen's future:

In this episode of the Energy News Beat Daily Standup, the host, Stuart Turley covers a range of critical energy topics. He discusses how Republicans were drawn into a deal that keeps the IRA subsidies in place and the need for urgent reforms. Stuart also critiques the Wall Street Journal's shift towards promoting clean energy, highlighting the financial and political motives behind it. Additionally, he explores EOG's international expansion, the revision of historical oil demand data by the IEA, and the paradox of rising U.S. hydropower generation amid the removal of dams. Finally, Stuart calls out the management failures in California's water and energy policies.Highlights of the Podcast 00:00 - Intro02:51 - How Republicans got roped into a deal that keeps the IRA—and why there's still time to fix it05:47 - WSJ Goes Fully In The Tank For ‘Clean' Energy09:11 - EOG Goes Abroad, and So Does American Power13:01 - IEA revised historical oil demand data, can we trust the numbers? Is this price manipulation?15:11 - U.S. hydropower generation expected to rise by 7% in 2025 following last year's record low – Then why are so many dams being removed?16:52 - OutroPlease see the links below or articles that we discuss in the podcast.How Republicans got roped into a deal that keeps the IRA—and why there's still time to fix itWSJ Goes Fully In The Tank For ‘Clean' EnergyEOG Goes Abroad, and So Does American PowerIEA revised historical oil demand data, can we trust the numbers? Is this price manipulation?U.S. hydropower generation expected to rise by 7% in 2025 following last year's record low – Then why are so many dams being removed?Follow Stuart On LinkedIn and TwitterFollow Michael On LinkedIn and TwitterENB Top NewsEnergy DashboardENB PodcastENB SubstackENB Trading DeskOil & Gas Investing– Get in Contact With The Show –

Recent developments on a potential Iran nuclear deal have impacted the oil market, with Brent hovering around $65/b. The IEA's report shows upward revisions in oil demand for 2024-2026, but concerns about oversupply persist, especially with the potential increase in Iranian crude later this year. Please note: this podcast is provided for information purposes only and should not be construed as an offer, or a solicitation of an offer, to buy or sell financial instruments. This podcast does not constitute a personal recommendation and is not investment advice. Investec

The IEA's Reem Ibrahim joins Chris Snowdon and Tom Slater to discuss the Nanny State Index, the new trade deals with India and the US, and the defunding of public-health groups.  Listen, share and give us a glowing review on your podcast app. Also, send your postbag questions to lastorders@spiked-online.com and we'll try to answer them in a future episode. Read spiked: https://www.spiked-online.com/    Support spiked: https://www.spiked-online.com/support/ 

Transport Topics is the news leader in trucking and freight transportation. Today's briefing covers Walmart raising prices, the FHWA nominee's appearance at a Senate hearing and the IEA's report on global oil demand. Learn more about your ad choices. Visit podcastchoices.com/adchoices

On April 28th, millions of people across Spain, Portugal and beyond were plunged into darkness in one of Europe's most severe blackouts in decades. Was it a cyberattack? A renewables failure? Or might things be a little more complex?This week, Tom Rivett-Carnac, Christiana Figueres, and Paul Dickinson dig into what we know, what we don't, and ask what this blackout really tells us about the transition to renewables. They speak with energy strategist Kingsmill Bond of Ember and hear an on-the-ground account from José Manuel Entrecanales, CEO of global renewables leader Acciona, to build a picture of how our grids function – and how they fail.Plus: what can we say when friends or colleagues claim that ‘renewables aren't reliable'? And, after our recent conversations reflecting on the legacy of Pope Francis, what might Pope Leo XIV mean for future climate leadership?Learn more

In this special collaborative episode with Do It for The Gram, the International Enneagram Association Podcast and Fathoms, Milton Stewart is joined by Seth “Creek” Creekmore, Lindsey Marks and Lee Fields as they preview the upcoming IEA Enneagram Experience 2025 - Global Conference and Celebration. All four hosts will be in attendance, so they share what they are looking forward to at this summer's annual event while also reflecting on this year's theme — 30 years honoring Enneagram pioneers and future frontiers.The Fathoms team will continue to host the IEA podcast with the traditional long form interviews with legendary figures as well as collect personal stories from attendees to deeply humanize this work. In their current Season Five, Fathoms has been focusing on the history of the Enneagram from the perspective of different schools and models to get a fuller picture of how they've come into this tool, providing an important and better framework and grounding before the conference.Milton's Links and Handles:Join KCEP Program: kaizen-enneagram-community.mn.coThe B.I.G. Enneagram Retreat: bigenneagramretreat.simvoly.com/applicationMilton's Website: KaizenCareers.comUpcoming Events: kaizencareers.com/upcoming-eventsIEA Links:IEA Enneagram Experience 2025: ieaexperience.comIEA Podcast: international-enneagram.captivate.fmConnect with Creek:Instagram: @_creekmorePod: Fathoms | An Enneagram PodcastPod: Awareness to Action Enneagram PodcastPod: Delusional Optimism with Dr. BConnect with Lindsey:IG: @lindseyfaithdmPod: Fathoms | An Enneagram PodcastConnect with Lee:Web: enneagrammatic.comIG: @enneagrammaticAwareness to ActionEnneagram on Demand - Certification ProgramMario Sikora: IG: @mariosikoraTikTok: @mariosikoraWeb: mariosikora.comSubstack: mariosikora.substack.comMaria Jose...

In this episode of Redefining Energy Tech, host Michael Barnard sat down with Dr. Joseph Romm—physicist, energy policy veteran, and author of The Hype About Hydrogen—to pull back the curtain on hydrogen's persistent mystique. Romm isn't new to the debate. Back in the early 2000s, he was among the first to publicly challenge the logic of hydrogen as a viable energy carrier. Now, twenty years later, he's back with a completely rewritten edition of his book, just in time for Earth Day, and the message hasn't changed: the hydrogen hype is still hype.What makes Romm's critique so compelling is his history. He once supported hydrogen research while in the Clinton-era Department of Energy, betting on Sandia Labs' onboard gasoline reformers. But that hope dissolved under the weight of technical reality. In 2003, as the Bush administration rolled out its $1.3 billion hydrogen initiative, Romm published the first edition of The Hype About Hydrogen, drawing a stark contrast between hydrogen's theoretical promise and its practical inefficiency. The fundamental math hasn't budged. Hydrogen production, storage, transport, and conversion wastes up to 80% of the original renewable electricity. Batteries? They waste closer to 20%.Fast forward to today, and hydrogen is once again being paraded as a climate solution, this time with a new coat of green paint. But Romm's updated research shows the same miscalculations baked into the models of the IEA, CSIRO, and even PIK—institutions that projected green hydrogen prices based on wildly optimistic learning curves. Hydrogen didn't follow the same cost trajectory as solar or batteries. In fact, between 2020 and 2024, the cost of electrolyzers increased by 40%—a staggering reversal of expectations that should have set off alarm bells across boardrooms and ministries.We also tackled the real-world energy transition playing out in China. While Western nations argue over tariffs and watch supply chains buckle, China is installing 350 gigawatts of solar and wind in a single year—ten times its nuclear additions—and prioritizing direct electrification over hydrogen. It's not just policy rhetoric; it's industrial reality.This divergence is becoming painfully clear in the transport sector. European advisors have publicly declared hydrogen “dead for trucks,” pointing instead to the obvious solution: battery-electric vehicles and megawatt-scale charging infrastructure. The market is responding. Companies trying to straddle both hydrogen and battery bets—Van Hool, Quantron, Nikola—are struggling or collapsing. Romm calls this “narrative disarticulation”—an elegant way of saying that serious people are quietly walking away from the hydrogen dream.His final warning is unequivocal: investing in hydrogen based on outdated assumptions is a recipe for stranded assets and political distraction. Industry's call to support “dirty hydrogen now, clean later” isn't just a bait-and-switch—it's a carbon trap dressed up in green branding. If we're serious about climate, it's time to let go of the hydrogen mirage and double down on what we know works: clean, efficient electrification.Want to rethink your assumptions on hydrogen? This is the episode to listen to.

In this episode of Energy Evolution, host Eklavya Gupte speaks with Tim Gould, chief energy economist at the International Energy Agency (IEA). Gould shares his insights on how the expansion of renewables, coupled with geopolitics and evolving economic policies, is reshaping energy security. Gould explains the need to adapt energy supply security measures as the growth of clean energy leads to new risks, such as those arising from critical minerals and supply chain vulnerabilities. He also tells us how the IEA is beginning to see some shifts in broader energy investment trends due to a “climate of uncertainty" exacerbated by escalating trade tensions. This interview was recorded at the Summit on the Future of Energy Security in London, where representatives from over 60 governments and several energy companies convened to collaborate on the key issues facing energy markets. Energy Evolution has merged with Platts Future Energy, and episodes are now regularly published on Tuesdays.

Recorded on April 24, 2025 and March 18, 2025 https://youtu.be/L6O9xlM-R7c Episode 130 of the PetroNerds podcast is the show stopping jam packed talk Trisha Curtis gave at the Houston Producers Forum on March 18th, 2025. Do not worry, she gets you up to speed on oil prices with a short introduction to this heavy hitting talk. Trisha discusses oil prices being oversold and the 10 year yield in the introduction. At the Houston Producers Forum talk Trisha covers oil prices and what is driving oil prices, geopolitical volatility, natural gas prices, Chris Wright's leadership in Washington, CERA week capitulation and "peak shale" talk, coal, wind and solar power, China, the IEA and Fatih Birol, tariffs and the de minimis rule, Mexico and Vietnam, the Chinese economy and global oil demand, inflation and the weakened consumer, DeepSeek, and Chinese industrial electricity consumption. Trisha further covers geopolitics including Iran, Russia, Ukraine, and China, economic uncertainty and tariffs, and the health of the consumer, energy is everything, and US oil and gas production dominance. And yes, she does this all in 40 minutes. Listen on Itunes

Today we had the pleasure of hosting David Hambling for a sweeping discussion on drone technologies and their applications. David is a journalist, author, and defense technology expert with over 20 years of experience. He writes for Aviation Week, Forbes, The Economist, New Scientist, Popular Mechanics, WIRED, and more (for an archive of David's writings, click here). David is the author of “Swarm Troopers” and has researched the history of drones and in particular, has zeroed in on the potential impact of smaller drones in both military and consumer applications. We were thrilled to visit with David. In our conversation, David shares his background in military technology and how his previous book, “Weapons Grade,” led him to explore the rise of drones. We discuss how the military lost its tech lead due to rapid commercial innovations, particularly as mobile phone technologies enabled the development of small, cheap, and highly capable drones. David explains the evolution of drone use, from reconnaissance tools to precision combat systems, and how this transformation has played out dramatically in the Russia-Ukraine war, where nearly two-thirds of Russian fatalities on Ukrainian soil are reportedly caused by small drones. We explore the shift from human-operated drones to autonomous systems, the difficulty of defending against small, agile drones, and the growing threat that they pose to critical energy and transportation infrastructure. David shares background on the historical cultural bias within militaries that sidelined drones in favor of piloted aircraft, until the CIA's early adoption of drone strikes eventually forced the Air Force to adopt them, as well as the recent surprising Trump Administration decision to continue the Boeing F-47 contract. We cover the regulatory challenges facing drone adoption, particularly the limitations on beyond visual line of sight operations, public concerns around safety and privacy, and global developments including Dubai's plans to pilot flying taxi drones by 2027. David outlines China's dominance in the global drone market, applications of drones including infrastructure inspection, delivery services, reforestation, and the unique Ukrainian “Victory Drone” program that encourages civilians to help war efforts by building drones at home for frontline use. We also touch on China's demographic challenges and how its shrinking and aging population is fueling the nation's strategic investment in AI, robotics, and autonomy, the critical role of software in making humanoid robots useful, especially with using assistive tech for elderly care, and more. We end with David's thoughts on what the drone and robotics landscape might look like in ten years. It was a fascinating and wide-ranging discussion that raised both the opportunities and the ethical complexities involved. Mike Bradley kicked off the show by noting that from a broader equity market standpoint, “Trumpatility” remains alive. Despite S&P volatility being cut in half over the last five trading days, it's still higher than average and will likely stay elevated until we begin to see tariff deals signed. Equity markets feel much worse than reality, given that the S&P 500 is only down ~7% year to date. On the International equity front, Argentina received a $20 billion IMF package last Friday, which could be an extremely important development for the country's long-term growth. On Monday, Argentina allowed its currency to freely float (between 1,000-1,400 pesos per dollar) for the first time in a very long time. In response, Argentinian 10yr bond yields plunged this week by ~150 basis points, and the Argentina equity market (Merval) and major Argentinian Energy equities have both rallied on the IMF deal. From an oil market standpoint, WTI looks to have temporarily stabilized in the low-$60s per barrel range. This week, the IEA slashed both its 2025 &am

On April 10, the International Energy Agency released a major report on energy and AI. The report explores topics including electricity demand for AI, how AI is being used in the energy sector, AI's role in accelerating energy innovation, the security implications of AI and greenhouse gas emissions from AI. Join host David Sandalow in conversation with Laura Cozzi, IEA's Director for Sustainability, Technology and Outlooks, who designed and directed this landmark report.   The AI, Energy and Climate Podcast is a special series from the DSR Network sponsored by NEDO and hosted by David Sandalow, Inaugural Fellow at Columbia University's Center on Global Energy Policy. AI for Climate Change Mitigation Roadmap -- https://www.icef.go.jp/roadmap and transitiondigital.org/ai-climate-roadmap.  Learn more about your ad choices. Visit megaphone.fm/adchoices