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A year and a half ago, President Biden signed the Inflation Reduction Act, the biggest climate law in American history — and arguably in world history. The law will spend an estimated $500 billion in grants and tax credits to incentivize people and businesses to switch from burning fossil fuels to using cleaner, zero-carbon technologies.
That’s the goal, at least. But is the IRA actually working? Now, 18 months after its passage, we’re starting to be able to answer that question. A new report from a coalition of major energy analysts — including MIT, the Rhodium Group, and our cohost Jesse Jenkins’ lab at Princeton — looks at data from the power and transportation sectors and concludes that yes, the law is starting to decarbonize the American economy.
But it isn’t working in the way many people might expect, because while electric vehicles are on track to meet the IRA’s climate goals, the power sector is not.
That’s the opposite of what you might think from reading the popular press, which has bemoaned an alleged slowdown in new EV sales. But the new report finds that the transportation sector actually came in at the upper end of what modelers expected to see this year. About 9.2% of new cars sold last year in the United States were zero-emissions vehicles; after the IRA passed, modelers had expected EVs to come in anywhere from 8.1 to 9.4% of sales.
But the power sector is lagging behind what modelers had expected to see. While the three groups had projected that 46 to 79 gigawatts of new zero-carbon power would come online last year, only 32.3 gigawatts of new capacity actually did. That is primarily due to a drop in new onshore wind projects, which fell below the installation levels achieved in 2020 and 2021. While solar and batteries continued to go gangbusters, exceeding previous records, they could not make up for the drop in wind. That means that the power sector is not on track to cut emissions 40% by 2030, as compared to 2005 levels, as the bill’s supporters have hoped.
Jesse Jenkins, an energy systems expert and professor at Princeton University, and I dive into the details on the latest episode of Shift Key.
Subscribe to “Shift Key” and find this episode on Apple Podcasts, Spotify, Amazon, or wherever you get your podcasts.
You can also add the show’s RSS feed to your podcast app to follow us directly.
Here is an excerpt from our conversation:
Robinson Meyer: First, let's do the moment of truth. Let’s just first get into the data. So in the power sector, what do we see?
Jesse Jenkins: What we see in the electricity sector is a new record set for zero carbon electricity generation and storage capacity additions. So that's new power plant and battery storage construction.
In aggregate, we saw over 32,000 megawatts or 32 gigawatts of new zero carbon generation and storage added to the U.S. grid in 2023. That's about a 32% increase from the rate in 2022. And it edges out a previous record that we saw in 2021 of about 31.6 gigawatts. So good news is we're setting new record growth rates in total in terms of wind and solar and battery additions.
Unfortunately, that does fall on the lower end of what we were projecting in most of the modeling results. We were looking for, on average, about 46 to 79 gigawatts, so call it 40 to 80 gigawatts on average of additions in 2023 and 2024. We fell short of the low end of that range at 32.3 gigawatts. So unless the pace accelerates substantially in 2024, we're probably going to fall a bit behind schedule in terms of capacity additions.
Meyer: And do we have a sense of what's driving that? Because I think that's a very surprising finding, that we're behind schedule in the power sector, where I think people feel pretty good generally about the pace of decarbonization. Or I think where the common wisdom, at least, is that the pace of decarbonization is like proceeding apace. What's driving this underperformance of the model?
Jenkins: So it's really the difference between solar and wind additions.
The solar sector added about 18.4 gigawatts of capacity in 2023. That's up massively from just about 11 gigawatts in 2022. It's about double what we had seen in 2020, which was kind of our reference when we were doing our modeling as we started the REPEAT project in 2021. And so that's looking encouraging and in fact is running ahead of schedule with the average pace of additions that we saw in REPEAT project results.
Batteries are growing way faster than we expected.
And that helps really make the most of those solar capacity additions because solar and batteries are kind of like peanut butter and jelly, they go together quite well. And that's because solar has this nice, regular daily fluctuation, right? From the sun rising and setting. And that pairs really well with batteries, which today in a way lithium ion batteries are best suited for, you know, only a few hours of storage. So they'll charge for three or four hours in the middle of the day when we've got an abundance of sun. And then they'll discharge in the evening to help meet the evening peak of demand when everybody's coming home from work.
The batteries basically helped shift the solar output from the middle of the day to hit that evening peak. And that's, that's really helpful. Where things are running behind schedule is really in the wind sector, where we only built about half of the peak rate, actually less than half that we've seen historically in 2023. Additions of wind power in 2023 were only about 6.3 gigawatts, and that's down from nearly 15 gigawatts in each of 2020 and 2021.
So that's a step backwards at a time when we should be smashing new record growth rates across all of these sectors. And that's giving me the biggest concern as we look at in the next couple of years.
Meyer: And that's, I mean, last show we talked about offshore wind and the troubles in offshore wind and how it seems like some big offshore wind projects that we thought might be coming online in the middle of this decade might not be coming online till the end of the decade. But when we talk about wind underperforming in terms of the whole country over the past year, we're really still talking about onshore wind. This is like big turbines in the middle of the Great Plains, not big turbines off the coast of New York, New Jersey, right?
Jenkins: That's right. Yeah, I think I don't think we had any significant offshore wind capacity additions coming in 2024. You know, most of that we were expecting would come in between 2026 and 2030 or 2035. So this is really a story about onshore wind, where if we look at the economics of onshore wind across the country, there's a tremendous number of sites that look very economic given the incentives provided by the Inflation Reduction Act.
And unfortunately, we're just not building out at the pace that would be economically justified. And that is really an indicator that there are a substantial number of other non-economic frictions or barriers to deployment of wind in particular at the pace that we want to see.
The full transcript is here.
This episode of Shift Key is sponsored by Advanced Energy United, KORE Power, and Yale …
Advanced Energy United educates, engages, and advocates for policies that allow our member companies to compete to power our economy with 100% clean energy, working with decision makers and energy market regulators to achieve this goal. Together, we are united in our mission to accelerate the transition to 100% clean energy in America. Learn more at advancedenergyunited.org/heatmap
KORE Power provides the commercial, industrial, and utility markets with functional solutions that advance the clean energy transition worldwide. KORE Power's technology and manufacturing capabilities provide direct access to next generation battery cells, energy storage systems that scale to grid+, EV power & infrastructure, and intuitive asset management to unlock energy strategies across a myriad of applications. Explore more at korepower.com — the future of clean energy is here.
Build your skills in policy, finance, and clean technology at Yale. Yale’s Financing and Deploying Clean Energy certificate program is a 10-month online certificate program that trains and connects clean energy professionals to catalyze an equitable transition to a clean economy. Connect with Yale’s expertise, grow your professional network, and deepen your impact. Learn more at cbey.yale.edu/certificate.
Music for Shift Key is by Adam Kromelow.
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Have data centers already peaked as an economic and energy trend?
This is Heatmap Daily, a weekday digest written by our executive editor. Subscribe here.
Covering energy and climate change sometimes means seeing certain stories in a different light than others. And a particularly vivid hue illuminated The Wall Street Journal’s report today that the Japanese conglomerate SoftBank Group is taking a $3.7 billion loss on several gigawatts’ worth of natural gas turbines.
For the Journal, the big news is that SoftBank and its billionaire founder, Masayoshi Son, are failing to capitalize on the artificial intelligence boom. But at Heatmap, we’re thinking about the turbines.
The data center boom and the return of electricity load growth has depleted the world’s supply of natural gas turbines. SoftBank had purchased reservations for about 13 gigawatts of turbines, according to the Journal. That’s a staggering amount of electricity — it could meet New York City’s maximum power draw on the hottest part of a summer’s day. The conglomerate now seems set to dump reservations for about four gigawatts’ worth. Keeping a reservation, it turns out, really is harder than making it.
Most of those rotors were reportedly from GE Vernova, one of the world’s largest producers of gas turbines. GE Vernova’s order list for gas turbines has been filled for nearly two years and the waiting list now stretches into 2031. That has led data center developers, hungry to get power as soon as possible, to reach for ever dirtier forms of electricity generation, including diesel generators and even old jet engines.
On that front, SoftBank’s failure to sell the turbines to a higher bidder suggests (albeit weakly) that demand for energy-producing assets might not be as strong as the AI boom’s backers once thought. SoftBank was already set to send about 9 gigawatts of turbines to the enormous Trump-backed OpenAI data center in Pike County, Ohio. The roughly remaining four gigawatts will be released back their manufacturers. (One thing this news can’t quite tell us, alas, is what type of turbine set-up will be used in the Pike County facility, which will be the world’s largest gas-fired power plant if it is build to completion. Recent public filings have suggested the facility isn’t planning on using any turbines in the more efficient combined-cycle configuration, which would mean the plant’s carbon intensity will be worse than most other new natural gas plants. But we’d love to hear any tips on this front.)
To zoom out for a second, I’m struck by how the AI bubble has been replaced by an AI muddle. As I wrote this, news emerged that Nvidia is preparing to fire its CEO, Jensen Huang, for his affair with a Chinese woman who is alleged to be a spy. Under Huang’s leadership, Nvidia has invested in a sprawling and sometimes circular network of energy-related companies, including Emerald AI, which helps data centers flex their electricity demand, and Redwood Materials, a battery recycler and producer led by the former Tesla executive JB Straubel. Huang has used Nvidia’s enormous balance sheet to buy down the risk of other AI and AI-related companies. Now that balance sheet is in peril: Its stock is already down 11% over the past five days, and it has fallen another 8% in after-hours trading since the news of Huang’s ouster broke. If its financial network began to fray — or even if the next CEO had a different risk appetite than Huang — then its demise could impact a much larger set of firms.
Even before the Huang scandal broke, firms at the center of the AI trade were showing signs of weakness. Alphabet, Meta, and Microsoft are all down on the month. Nvidia was already lagging by about 10% before the late unpleasantness, too. The memory and chip makers Micron and Applied Materials are both down more than 25%, and GE Vernova and Oklo have fallen nearly 20%. Although the data center company Coreweave beat earnings today, it’s still down 24% on the month and nearly 50% since May.
The market rout isn’t total — Anthropic seems likely to enjoy one of the largest IPOs ever in the next week (although perhaps not with quite as large a valuation as its investors once imagined). And the underlying technology of AI seems to keep getting worryingly better all the time. But even though the politics of data centers seem set to dominate the new Washington, I’m wondering if data centers as an economic trend might have already peaked.
Lunar Energy’s latest AI-powered system aims to integrate EVs into the automated demand response mix.
In theory, it’s straightforward to assemble the smart energy home: Solar panels, home backup batteries, and electric vehicles, plus smart thermostats, heat pumps, and water heaters — all the individual pieces can be had for the homeowner who can afford the up-front cost. The challenge is getting all those pieces to talk to one another.
Bay Area-based Lunar Energy is one of the tech firms that’s been trying to crack this problem. Today, it announced an upgraded version of its artificial intelligence-powered home energy control system, which not only integrates all those separate systems but also responds tactically to energy markets. CEO Kunal Girotra told me Lunar AI saves its users money by monitoring their home 24/7 and making decisions to charge, not to charge, or discharge so that they save the most money.
“Utilities are all moving to almost-real-time changes of rates,” he said. “You need software to handle that for you. I think that the race is on for who has the best AI machine learning algorithms to save the most amount of money. And so far, we seem to have a head start.”
Lunar’s first-generation system focused on generation, storage, and control. In other words, it connected elements like a home’s rooftop solar panels with the backup battery the residents might keep in the garage, using the AI to decide when to meet the home’s real-time energy needs with solar versus grid energy versus stored power. What it didn’t have was the ability to work with electric vehicles to manage charging and use the car’s battery as a bonus source of energy.
To fix this, Lunar has built its own bidirectional EV charger — one that can charge up the battery or discharge the car’s battery for a secondary use, like backing up the home’s power supply. Girotra, formerly the head of Tesla Energy, told me the problem with that functionality to this point has been the connection point between the car and the home electrical system. Carmakers and other companies in the space didn’t have the deep experience with electrical certifications to make the process seamless, he tells me. That led to setups like the original Ford Charge Station Pro, which required several different wall-mounted electrical boxes to connect the F-150 Lightning EV to the home.
Lunar’s charger is built to connect to its customers’ existing home Lunar energy system, which includes a microgrid interconnect device they call Lunar Bridge that islands the home in case of a power outage on the grid. In that way, the power stored in the EV battery is ready to back up the home in case of a blackout without any additional work — or to be optimized as part of a fully smart home that’s making money as part of a virtual power plant.
The company’s setup allows for another fun feature: “slow” charging that’s not slow at all, but actually two or three times as fast as the Level 2 charging most EV owners use to recharge their batteries overnight. Electric cars in the U.S. can typically take on only about 11 kilowatts of AC power from one’s home because of the limitations of their on-board hardware. Because Lunar’s system is fully DC, however, Girotra said the company decided to build a DC home charger, one that — like a Tesla Supercharger or other DC fast chargers out in the world — isn’t limited by that power cap. Lunar said it could use a combination of power from the grid, home solar, or home batteries to charge an EV at up to 25 kilowatts. That’s enough to recharge an EV in three to four hours rather than six to eight.
“If the standards get high, and if everybody sees cars can get charged in three hours, then all of a sudden people are like, ‘Wow, this is how I want it,’” he said. “Especially for 25% of the users who are like me, who always are running low on charge and they don’t mind a boost every now and then.”
Some of the other improvements in the second-gen system are more incremental. An inverter that’s 40% more powerful helps Lunar get its system up to enterprise scale. That’s crucial, as the world moves toward a place where more homes and businesses employ battery backup systems. Lunar’s new batteries come in modular 5 kilowatt-hour blocks ranging from 10 kilowatt-hours to 30 kilowatt-hours in a single unit and scale up to 300 kilowatt-hours for home or small commercial use; there’s also new pad-mounted configurations with capacity up to 1 megawatt-hour.
Batteries, though, are the simple part. Everyone from EV makers like Rivian to utilities like Octopus Energy is racing to make a person’s or a business’s batteries and solar panels and electric cars work for them, using the power of AI to account for moment-to-moment changes in energy prices and supply. Lunar’s new tech makes the case that the most important element is a single brain to integrate every last smart, electrified thing in your house.
The fundraise comes on the heels of a $50 million grant from the Department of Energy.
Almost all lithium-ion batteries on the market rely on graphite for their anodes, more than 90% of which is processed in China. That concentration has created a chokepoint in the Pentagon’s supply chain as the military increasingly turns to batteries to help its transportation network operate more quietly and reduce reliance on complex refueling logistics.
So when Congress passed the latest National Defense Authorization Act at the end of 2025, barring Chinese-linked battery materials from military use starting in 2028, Coreshell saw an opening. While the California-based silicon-anode battery startup had previously focused on automakers as its beachhead customers, it’s now shipping its first battery cells to the military for use on Navy ships and Army ground vehicles. On Wednesday, Coreshell announced a $30 million Series B to scale up manufacturing operations to meet the needs of this growing customer base.
“We’re entering a new stage where we’re no longer, I would say, demand limited,” Coreshell’s CEO Jonathan Tan told me. “This year we’ve had to put on second and third shifts, work nights and weekends, just to get the product out the door.”
Coreshell sets itself apart by going a step further than the NDAA requires. The law doesn’t make suppliers trace battery materials all the way back to the mine, which would be exceedingly difficult given China’s dominance across the battery supply chain. But Coreshell has nevertheless eliminated Chinese sourcing from its anodes by replacing graphite with silicon mined and refined in the U.S. by Ferroglobe, one of its Series A investors.
Ferroglobe and global investment firm Access Industries led the latest round, with defense contractor ADS also joining as a new strategic investor. The financing comes on the heels of a $50 million Department of Energy grant that Coreshell secured in August as part of a program to strengthen the domestic battery supply chain. That funding will support the company’s first commercial-scale facility, a 2-gigawatt-hour factory.
That’s about 20 times the size of the 100-ish-megawatt-hour plant the startup had originally envisioned, as the DOE grant has allowed Coreshell to “expand much further than we were originally expecting,” according to Tan. The company is now evaluating several potential U.S. sites and expects to announce its selection early next year. For now, it relies on unnamed contract manufactures, along with its small pilot line in San Leandro, to produce its cells. But once the gigafactory gets up and running, the startup plans to bring electrode production in house by 2028, followed by full cell assembly in 2029.
Building this plant will ultimately require significant additional capital. But Tan believes this latest vote of confidence from the federal government will help Coreshell to diversify its capital stack as it continues to fundraise. “That’s one of the great things about having such a notable DOE award is that it also allows us to attract multiple forms of capital,” he told me.
Silicon has long been recognized as a promising alternative material for battery anodes, as it can store far more energy than graphite. The catch is that it tends to swell during charging, causing it to break down quickly and ultimately leading to a much shorter cycle life. Coreshell says it’s extended its anode’s lifespan by giving it a proprietary coating, which Tan told me back in April essentially means “painting the inside of your battery” with an ultra-thin protective layer.
Other companies, such as Sila Nanotechnologies and Group14 Technologies, are also working to commercialize silicon anodes. But Coreshell says many of its competitors rely on more highly engineered, expensive forms of silicon, such as silane gas. By contrast, Coreshell uses metallurgical silicon, a cheap, raw commodity already widely used in aluminum alloys. That, Tan argues, gives the company a cost advantage not only over its competitors, but potentially Chinese graphite too.
Coreshell hasn’t yet demonstrated that its cells can meet the performance demands of the automotive industry, however. When the company raised its Series A in early 2025, it said it expected its automotive cells to exceed 1,000 charge cycles while retaining 80% of their original capacity. But Tan told me many defense applications don’t require such demanding performance targets, as Navy ships and ground vehicles are “not intending to have as many miles or missions or use cases on that same battery” as a consumer EV would.
That doesn’t mean the company is abandoning its automotive ambitions. As Tan pointed out, electric vehicles remain by far the largest source of global and domestic battery demand. “It’s natural for us to obviously utilize the security supply chain first,” he told me. “That allowed us to really get to commercialization, revenue, and production faster, because automotive qualification is this longer journey. But ultimately, we want to do both of those and more.”