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The former Department of Energy chief commercialization officer talks about the public sector’s role in catalyzing new clean energy.
Vanessa Chan didn’t think she had the right temperament to work in government. After a 13-year stint as a partner at McKinsey, six years as a partner at the angel investment firm Robin Hood Ventures, and four years at the University of Pennsylvania, most recently as professor of practice in innovation and entrepreneurship, Chan considered herself to be an impatient, get-it-done type — anathema to the traditionally slow, procedurally complex work of governing.
But the Energy Act of 2020 had just formalized a new role within the Department of Energy ideally suited to her skills: Chief Commercialization Officer, which would also serve as the director of the Office of Technology Transitions. Who would fill these dual roles was to be the decision of then-incoming Secretary of Energy Jennifer Granholm, who found a kindred spirit in Chan. Under her leadership, Chan told me, “I found someone who’s less patient than me.”
In her four years at the DOE, the OTT’s annual budget — which she referred to as “literally a rounding error to most people” — grew from $12.6 million to $56.6 million. She leveraged it to its fullest extent, establishing a precedent for the potential of this small but mighty office. Chan spearheaded the “Pathways to Commercial Liftoff” reports that provide investors with a path to market for the most important decarbonization technologies, and announced over $41 million in funding for 50 clean energy projects across all of the nations 17 national labs through the Technology Commercialization Fund.
She also changed the way the DOE, national labs, venture capitalists, and startups alike talk about getting ready for primetime with the Adoption Readiness Level framework, which put a much-needed focus on factors such as economic viability, regulatory hurdles, and supply chain constraints in the same way that the established Technology Readiness Levels, pioneered by NASA, focus on the question of whether a technology actually works.
Now Chan is back at the University of Pennsylvania in a new, extremely apt role: the Inaugural Vice-Dean of Innovation and Entrepreneurship. She’s weaving lessons learned from her time in the public and private sectors into academia, where her goal is to help incorporate real-world skills into the education of engineers and PhD scholars to prime them for maximum impact upon graduation.
“It’s such a disservice if you invent something and it never sees the light of day,” she told me. “So we need to make sure that isn’t happening and we increase our odds of things making it to the market.”
Over two separate interviews, one before President Trump’s inauguration and one after, I asked Chan how her work with the DOE has helped climate technologies move from the lab to the market, the challenges that remain, and what to keep an eye on in the new administration. Our conversation has been edited for length and clarity.
How did you get recruited for this job? Was government work even on your radar before?
No, this was never on my vision board. But the way in which this came about was in 2016, there was a workshop that was being led by DOE on a potential new foundation that was going to be focused on commercialization. And one of my former clients told the person running the workshop, if you’re talking about technology commercialization, you have to talk to Vanessa Chan. And when I was there, I just yapped off about all the issues that I see with commercialization and what the federal government should be doing about it. And I didn’t think anything of it.
And then fast forward to 2020, I get this cryptic email saying, “Hey, the Biden-Harris administration is interested in you.” I spent all the time during the interview [with the Biden-Harris team] going, “Here’s my thing about commercialization, but I don’t think you guys want me, because I’m someone who works really fast. I have no patience for bureaucracy. I like to disrupt. I don’t like the status quo.” And they’re like, that’s exactly what we want.
How did the DOE, and the OTT in particular, really undergo a shift in the Biden administration?
Historically, DOE has been very focused on research and development. And then when the [Bipartisan Infrastructure Law] and [Inflation Reduction Act] got passed, now there was half-a-trillion dollars going towards demonstration and deployment, and it became a lot more fun being the chief commercialization officer.
The mantra that we’ve had is that the clean energy transition — and quite frankly, commercialization — has to be private sector-led but government-enabled. Because in the end, it’s the private sector that’s actually commercializing. It’s not the government. DOD can buy stuff to bring things to market, but DOE, we’re an enabler. And unless the private sector has sustainable, viable economic models, nothing will ever be commercialized.
How does your work intersect with other DOE agencies that are focused on commercialization, like the Office of Clean Energy Demonstrations and the Loan Programs Office?
I worked very closely with all of them. In particular, one of the things that was really important to do was to get us on the same page of what it actually means to deploy technologies. So I quarterbacked an effort called the Pathways to Commercial Liftoff, which OCED, LPO, and any program office that was touching research, development, demonstration, and deployment was a part of.
If we use hydrogen hubs as an example, OCED was given $8 billion towards hydrogen. When we did the hydrogen liftoff report, what we found was a few things. One is that electrolyzer costs are super high, and so we have to be able to drive those downward to make the unit economics work. We have an issue where there is no midstream infrastructure. We also had a chicken-and-the egg, which is pretty classic: No one wants to buy hydrogen until the supply chain is stood up, [but] the supply chain doesn’t want to stand up until they know they actually have offtake agreements.
What we did with OCED was, we took $7 billion to invest in seven hydrogen hubs across the nation, and then we reserved $1 billion to create an offtake demand mechanism. And that’s the first time ever that the federal government has actually focused on a demand activation program.
Have these liftoff reports been well received on both sides of the aisle? Do you think they’ll continue to be referenced in the new administration?
We were very, very, very fact-driven. There’s no policy by design, because in the end it’s all about, what does it take for a technology to make sense, for it to be in the market? So it’s not Republican or Democratic, it’s just — what does the private sector have to do? I’m really hoping they’re not seen as partisan and really more a synthesis of what’s required for the private sector to actually scale technology.
What are some additional successes from your time at the DOE?
An example program is MAKE IT, which is Manufacturing of Advanced Key Energy Infrastructure Technologies, which was a program that we created with OCED in order to figure out ways in which we could try to help bolster manufacturing across the nation. We also have this program called EPIC, the Energy Program for Innovation Clusters, and we have funded over 80 incubators and accelerators across the nation, which are supporting startups.
We’ve created a voucher program for startups and smaller organizations — sometimes there’s very tactical things that they need help on, and they need a small dollar amount, like a couple-hundred-thousand-dollars to tackle that. We’re like, Oh, you need to do techno-economic analysis? We’re going to pair you with this organization here that can do it, and you don’t have to negotiate anything with them. We’re just going to send them the money, you’re given a voucher, and you just call them.
When I talk with venture capitalists, something that often comes up is the difficulty of getting startups through the so-called Valley of Death, the funding gap between a company’s initial rounds and its commercial scale-up. How do you think about the public sector’s role in helping companies through this stage?
First of all, this private sector-led, government-enabled idea around commercialization is really important. And the work we’ve done with Liftoff and how we’ve gotten money out the door has really worked, because for every dollar going out the door from DOE, we’ve seen $6 matching from the private sector. That in itself is showing that there’s a way for the public sector to nudge the private sector to act.
What I’ll tell you, though, is that I think there needs to be a wholesale reframe around how the private sector thinks about investments and the returns that they want on them. Right now, we are in the Squid Games, where everyone is first in line to be sixth or seventh, no one is first in line to be first, second, or third, because they know the person who is first, second, or third is going to lose money. So what we need to do is figure out, how do we have the ecosystem crowdsource the first 10 of a kind, so that we get to the tipping point where the unit economics are working? How do we get the private sector to promise to buy technologies when they’re not quite there? How do we in the public sector help on the back end?
What are other primary barriers to commercialization that you see?
Another big barrier is that the time clock for moving up the learning curve and moving down the cost curve is quite long in some of these hard-tech technologies. And so the challenge is, how do we convince CEOs to make investments in something which is not going to benefit them, but benefit a CEO two or three down the line? Humans just don’t work that way, right? They’re all about earnings per share and quarterly earning reports and so forth.
Now the challenge is, if we don’t do it, then countries like China are going to do it. This is what happened in solar: We invented the technology, but China was willing to take a loss in order to get up the learning curve and drive down the cost curve, and we need to figure out how to do the same.
Have you been in touch with anyone from the Trump administration? Do you know who your successor will be?
No idea. My team didn’t even know who I was until day one. But what I’ll tell you is that OTT has really strong bipartisan support because we’re commercializing technologies, which is creating jobs, and I think everyone understands the importance of this. Also for the [Foundation for Energy Security and Innovation] I was very deliberate with the other ex officio board members to make sure we had a bipartisan board. We have 13 board members that we appointed here at DOE, and I have representation from every single administration since George H.W. Bush, including two Trump appointees.
I really do hope that whoever sits in my seat will reach out, and I left a letter offering that, too. Hopefully they do give me a call because I really want to wish them every success in the work that they’re doing.
What’s it like to be back at the University of Pennsylvania, watching this new administration from a civilian perspective?
This was the best job ever, so I’m just sad in general to not be at the Department of Energy because I really enjoyed the work that we were doing there. A lot of the money from the BIL and IRA were used to catalyze many, many red states. I am hopeful that people in power recognize this and are going to do right by those counties. Because I think, in the end, what we’re trying to do is really help with American jobs and competitiveness.
Any thoughts on the executive order that’s frozen disbursement of funds from BIL and IRA?
I don’t know, because I always think it’s not right to be on the outside in, trying to figure out what different executive orders are trying to say or not say. We all have to wait to see how these get executed upon.
What do you think people should be keeping an eye on to gauge the impacts that these sweeping executive orders are having?
In my mind it’s really, is the private sector spooked? Are they going to continue to invest the money that’s needed for these manufacturing plants to continue and so forth? Because in the end, it’s the private sector that actually is driving American competitiveness — the federal government is a catalyst. And so I think what I’d be looking to is the private sector. Are they stopping the momentum that we helped to kickstart?
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Elemental Impact, Breakthrough Energy, Speed & Scale, Stanford, Energy Innovation, and McKinsey are all partnering to form the “Climate Tech Atlas.”
The federal government has become an increasingly unreliable partner to climate tech innovators. Now venture capitalists, nonprofits, and academics are embracing a new plan to survive.
On Thursday, an interdisciplinary coalition — including Breakthrough Energy, McKinsey, and Stanford University’s Doerr School of Sustainability — unveiled the Climate Tech Atlas, a new plan to map out opportunities in the sector and define innovation imperatives critical to the energy transition.
The goal is to serve as a resource for stakeholders across the industry, drawing their focus toward the technological frontiers the alliance sees as the most viable pathways to economy-wide decarbonization. The idea is not to eliminate potential solutions, but rather “to enable the next generation of innovators, entrepreneurs, researchers, policymakers, and investors to really focus on where we felt there was the largest opportunity for exploration and for innovation to impact our path to net zero through the lens of technology,” Cooper Rinzler, a key collaborator on the initiative and a partner at the venture capital firm Breakthrough Energy Ventures, told me.
Other core contributors include the nonprofit investor Elemental Impact, John Doerr’s climate initiative Speed & Scale, and the policy think tank Energy Innovation. The Atlas has been a year in the making, Ryan Panchadsaram of Speed & Scale told me. “We’ve had maybe close to 20 to 30 working sessions with 80 different contributors, all focused on the big question of what innovations are needed to decarbonize our economy.”
The website, which launched today, lays out 24 opportunity areas across buildings, manufacturing, transportation, food, agriculture and nature, electricity, and greenhouse gas removal. Diving into “buildings,” for example, one can then drill down into an opportunity area such as “sustainable construction and design,” which lists three innovation imperatives: creating new design tools to improve materials efficiency and carbon intensity, improving building insulation and self-cooling, and industrializing construction to make it faster and more modular.
Then there are the moonshots — 39 in total, and two for this opportunity in particular. The first is developing carbon-negative building coatings and surface materials, and the second is inventing low-carbon building materials that can outperform steel and cement. It’s these types of moonshots, Rinzler told me, where much of the “residual uncertainty” and thus “opportunity for surprise” lies.
Each core collaborator, Panchadsaram said, naturally came into this exercise with their own internal lists and ideas about what types of tech and basic research were needed most. The idea, he told me, was to share “an open source version of what we each had.”
As Dawn Lippert, founder and CEO of Elemental Impact, put it to me, the Atlas “can help accelerate any conversation.” Her firm meets with over 1,000 entrepreneurs per year, she explained, on top of numerous philanthropists trying to figure out where to direct their capital. The Atlas can serve as a one-stop-shop to help them channel their efforts — and dollars — into the most investable and salient opportunities.
The same can be said for research priorities among university faculty, Charlotte Pera, the executive director of Stanford’s Sustainability Accelerator, told me. That then trickles down to help determine what classes, internships, and career paths students interested in the intersection of sustainability and technology ultimately choose.
The coalition members — and the project itself — speak to the prudence of this type of industry-wide level-setting amidst a chaotic political and economic environment. Referencing the accelerants Speed & Scale identifies as critical to achieving net-zero emissions — policy, grassroots and global movements, innovation, and investment — Panchadsaram told me that “when one is not performing in the way that you want, you have to lean in more into the others.”
These days, of course, it’s U.S. policy that’s falling short. “In this moment in time, at least domestically, innovation and investment is one that can start to fill in that gap,” he said.
This isn’t the first effort to meticulously map out where climate funding, innovation, and research efforts should be directed. Biden’s Department of Energy launched the Earthshots Initiative, which laid out innovation goals and pathways to scale for emergent technologies such as clean hydrogen, long-duration energy storage, and floating offshore wind. But while it’s safe to say that Trump isn’t pursuing the coordinated funding and research that Earthshots intended to catalyze, the private sector has a long and enthusiastic history with strategic mapping.
Breakthrough Energy, for example, had already pinpointed what it calls the “Five Grand Challenges” in reaching net-zero emissions: electricity, transportation, manufacturing, buildings, and agriculture. It then measures the “green premium” of specific technologies — that is, the added cost of doing a thing cleanly — to pinpoint what to prioritize for near-term deployment and where more research and development funding should be directed. Breakthrough's grand challenges closely mirror the sectors identified in the Atlas, which ultimately goes into far greater depth regarding specific subcategories.
Perhaps the pioneer of climate tech mapping is Kleiner Perkins, the storied venture capital firm, where Doerr was a longtime leader and currently serves as chairman; Panchadsaram is also an advisor there. During what investors often refer to as Clean Tech 1.0 — a boom-and-bust cycle that unfolded from roughly 2006 to 2012 — the firm created a “map of grand challenges.” While it appears to have no internet footprint today, in 2009, Bloomberg described it as a “chart of multicolored squares” tracking the firm’s investment across key climate technologies, with blank spots for tech with the potential to be viable — and investable — in the future.
Many of these opportunities failed to pay off, however. The 2008 financial crisis, the U.S. oil and natural gas boom, and slow development timelines for clean tech contributed to a number of high-profile failures, causing investors to sour on clean tech — a precedent the Atlas coalition would like to avoid.
These days, investors tend to tell me that Clean Tech 1.0 taught them to be realistic about long commercialization timelines for climate tech. Breakthrough Energy Ventures, for example, has funds with lengthy 20-year investment horizons. In a follow-up email, Rinzler also noted that even considering the current political landscape, “there’s a far more robust capital, corporate, and policy environment for climate tech than there was in the 2000s.” Now, he said, investors are more likely to consider the broader landscape across tech, finance, and policy when gauging whether a company can compete in the marketplace. And that often translates to a decreased reliance on government support.
“There are quite a few solutions that are embodied here that really don’t have an obligate dependence on policy in any way,” Rinzler told me. “You don’t have to care about climate to think that this is an amazing opportunity for an entrepreneur to come in and tackle a trillion-dollar industry with a pure profit incentive.”
The Atlas also seeks to offer a realistic perspective on its targets’ commercial maturity via a “Tech Category Index.” For example, the Atlas identifies seven technology categories relevant to the buildings sector: deconstruction, disposal and reuse, green materials, appliances, heating and cooling, smart buildings, and construction. While the first three are deemed “pilot” stage, the rest are “commercial.” More nascent technologies such as fusion, as well as many carbon dioxide removal methods are categorized as “lab” stage.
But the Atlas isn’t yet complete, its creators emphasized. Even now they’re contemplating ways to expand, based on what will provide the most value to the sector. “Is it more details on commercial status? Is it the companies that are working on it? Is it the researchers that are doing this in their lab?” Panchadsaram mused. “We are asking those questions right now.”
There’s even a form where citizen contributors can suggest new innovation imperatives and moonshots, or provide feedback on existing ones. “We do really hope that people, when they see this, collaborate on it, build on it, duplicate it, replicate it,” Panchadsaram told me. “This is truly a starting point.”
Zanskar’s second geothermal discovery is its first on untapped ground.
For the past five years or so, talk of geothermal energy has largely centered on “next-generation” or “enhanced” technologies, which make it possible to develop geothermal systems in areas without naturally occurring hot water reservoirs. But one geothermal exploration and development company, Zanskar, is betting that the scope and potential of conventional geothermal resources has been vastly underestimated — and that artificial intelligence holds the key to unlocking it.
Last year, Zanskar acquired an underperforming geothermal power plant in New Mexico. By combining exclusive data on the subsurface of the region with AI-driven analysis, the company identified a promising new drilling site, striking what has now become the most productive pumped geothermal well in the U.S. Today, the company is announcing its second reservoir discovery, this one at an undeveloped site in northern Nevada, which Zanskar is preparing to turn into a full-scale, 20-megawatt power plant by 2028.
“This is probably one of the biggest confirmed resources in geothermal in the last 10 years,” Zanskar’s cofounder and CEO Carl Hoiland told me. When we first connected back in August, he explained that since founding the company in 2019, he’s become increasingly convinced that conventional geothermal — which taps into naturally occurring reservoirs of hot water and steam — will be the linchpin of the industry’s growth. “We think the estimates of conventional potential that are now decades old just all need to be rewritten,” Hoiland told me. “This is a much larger opportunity than has been previously appreciated.”
The past decade has seen a lull in geothermal development in the U.S. as developers have found exploration costs prohibitively high, especially as solar and wind fall drastically in price. Most new projects have involved either the expansion of existing facilities or tapping areas with established resources, spurring geothermal startups such as Fervo Energy and Sage Geosystems to use next-generation technologies to unlock new areas for development.
But Hoiland told me that in many cases, conventional geothermal plants will prove to be the simplest, most cost-effective path to growth.
Zanskar’s new site, dubbed Pumpernickel, has long drawn interest from potential geothermal developers given that it’s home to a cluster of hot springs. But while both oil and gas companies and the federal government have drilled exploratory wells here intermittently since the 1970s, none hit hot enough temperatures for the reservoirs to be deemed commercially viable.
But Zanksar’s AI models — trained on everything from decades old geological and geophysical data sets to newer satellite and remote sensing databases — indicated that Pumpernickel did indeed have adequately hot reservoirs, and showed where to drill for them. “We were able to take the prior data that was seen to be a failure, plug it into these models, and get not just the surface locations that we should drill from, but [the models] even helped us identify what angle and which direction to drill the well,” Hoiland told me.
That’s wildly different from the way geothermal exploration typically works, he explained. Traditionally, a geologist would arrive onsite with their own mental model of the subsurface and tell the team where to drill. “But there are millions of possible models, and there’s no way humans can model all of those fully and quantitatively,” Hoiland told me, hence the industry’s low success rate for exploratory wells. Zanskar can, though. By modeling all possible locations for geothermal reservoirs, the startup’s tools “create a probability distribution that allows you to make decisions with more confidence.”
To build these tools, Hoiland and his cofounder, Joel Edwards, both of whom have backgrounds in geology, tracked down and acquired long forgotten analog data sets mapping the subsurface of regions that were never developed. They digitized these records and fed them into their AI model, which is also trained on fresh inputs from Zanksar’s own data collection team, a group the company launched three years ago. After adding all this information, the team realized that test wells had been drilled in only about 5% of the “geothermally prospective areas of the western U.S.,” leaving the startup with no shortage of additional sites to explore.
“It’s been nine years since a greenfield geothermal plant has been built in the U.S.,” Edwards told me, meaning one constructed on land with no prior geothermal development. “So the intent here is to restart that flywheel of developing greenfield geothermal again.” And while Zanskar would not confirm, Axios reported earlier this month that the company is now seeking to raise a $100 million Series C round to help accomplish this goal.
In the future, Zanskar plans to test and develop sites where exploratory drilling has never even taken place, something the industry essentially stopped attempting decades ago. But these hitherto unknown sites, Edwards said, is where he anticipates “most of the gigawatts” are going to come from in the future.
Hoiland credits all this to advances in AI, which he believes will allow geothermal “to become the cheapest form of energy on the planet,” he told me. Because “if you knew exactly where to drill today, it already would be.”
On EPA’s climate denial, virtual power plants, and Europe’s $50 billion climate reality
Current conditions: In the Atlantic, Tropical Storm Gabrielle is on track to intensify into a hurricane by the weekend, but it’s unlikely to affect the U.S. East Coast • Most of Vermont, New Hampshire, and Maine are under “severe” drought warning • Southeastern Nigeria is facing flooding.
The Federal Reserve announced Wednesday its first interest rate cut of the year, a quarter percentage point drop that aims to bring the federal funds rate down to between 4% and 4.25%. This may, Heatmap’s Matthew Zeitlin reported, “provide some relief to renewables developers and investors, who are especially sensitive to financing costs.” As Advait Arun, a climate and infrastructure analyst at the Center for Public Enterprise, told him: “high rates are never going to be exactly a good thing … it’s going to be good that we’re finally seeing cuts.”
Since solar and wind rely on basically free fuel, the bulk of developers’ costs to build panels or turbines are upfront. That requires borrowing money, meaning interest rates have an outsize impact on the total cost of renewable projects. Renewables carry more debt than fossil fuel plants. When interest rates rise by 2 percentage points, the levelized cost of electricity for renewables rises by 20%, compared to 11% for a gas fired plant, according to a report last year by the energy consultancy Wood Mackenzie.
The United States’ leading scientific advisory body issued what The New York Times called a “major report” on Wednesday detailing “the strongest evidence to date that carbon dioxide, methane, and other planet-warming greenhouse gases are threatening human health.” The study, published by the National Academies of Sciences, Engineering, and Medicine, stands athwart the Environmental Protection Agency’s proposal to revoke the endangerment finding. Established in 2009, the legal determination that planet-heating gases cause harm to human health means that the Clean Air Act can be used to underpin regulations on emissions. But the Trump administration proposed rescinding the finding and insisted it could “cast significant doubt” on its accuracy. “
“It’s more serious and more long term damage for them to try to rescind the underlying endangerment finding because depending on what the Supreme Court does with that, it could knock out a future administration from trying to bring it back,” Harvard Law School’s Jody Freeman told Heatmap’s Emily Pontecorvo in July. “Now that would be the nuclear option. That would be their best case scenario. I don’t think that’s likely, but it’s possible.”
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It’s an unlikely scenario. But if all U.S. households built rooftop solar panels and batteries, and adopted efficient electric appliances, the country could offset all the growing demand from data centers. That’s according to a new report by the pro-electrification nonprofit Rewiring America. “Electrifying households is a direct path to meeting the growing power needs of hyperscale data centers while creating a more flexible, resilient, cost-effective grid for all,” Ari Matusiak, the chief executive of Rewiring America, said in a statement. “The household doesn’t have to be a passive energy consumer, at the whim of rising costs. Instead, it can be the hero and, with smart investment, the foundation of a more reliable and affordable energy future.”
With new gas plants, nuclear reactors, and geothermal stations in the works, the U.S. is nowhere close to following a maximalist vision of distributed resources. But the findings highlight how much additional power could be generated on residential rooftops across the U.S. that, if combined with virtual power plant software, could comprise a large new source of clean electricity.
A scorecard highlighting all the ways the virtual power plant industry has grown.Wood Mackenzie
That isn’t to say virtual power plants aren’t having something of a moment. New data from Wood Mackenzie found that virtual power plant capacity expanded 13.7% year over year to reach 37.5 gigawatts. California, Texas, New York, and Massachusetts are the leading states, representing 37% of all VPP deployments. The market last year “broadened more than it deepened,” the consultancy’s report found, with the number of deployments, offtakers, and policy support spurring more adoption. But the residential side remains modest. Their share of the VPP wholesale market’s capacity increased to 10.2% from only about 8.8% last year, “still reflecting market barriers to small customers,” such as access to data and market rules.
“Utility program caps, capacity accreditation reforms, and market barriers have prevented capacity from growing as fast as market activity,” Ben Hertz-Shargel, global head of grid edge for Wood Mackenzie, said in a statement. He added that, “while data centers are the source of new load, there’s an enormous opportunity to tap VPPs as the new source of grid flexibility.”
Record-breaking heat, droughts, fires, and floods cost the European economy at least 43 billion euros, or $50 billion, a new European Central Bank study found. The research, presented this week to European Union lawmakers, used a model based on weather data and estimates of historical impact of extreme weather on 1,160 different regions across the 27-nation bloc. “The true costs of extreme weather surface slowly because these events affect lives and livelihoods through a wide range of channels that extend beyond the initial impact,” Sehrish Usman, an assistant professor at the University of Mannheim who led the study with two economists from the European Central Bank, told The New York Times.
Secretary of Energy Chris Wright believes nuclear fusion plants will be pumping electricity onto grids no later than 2040. In an interview this week with the BBC while traveling in Europe, Wright said he expected the technology to be commercialized in as little as eight years. “With artificial intelligence and what's going on at the national labs and private companies in the United States, we will have that approach about how to harness fusion energy multiple ways within the next five years," Wright told the broadcaster. “The technology, it'll be on the electric grid, you know, in eight to 15 years.” As Heatmap’s Katie Brigham put it recently, it’s “finally, possibly, almost time for fusion.”