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The most interesting things I haven’t written about yet.

My inbox and calendar have been filled all year with press releases and requests to chat about new carbon removal technologies, artificial intelligence and its attendant energy demand, novel battery designs, advances in fission and fusion, and investors’ ever-present concerns about how to get all of this to market in time to make a real dent in the climate crisis (and also, you know, a profit).
I wrote about a lot of it — but not all of it, and much of the stuff that got left out is no less worthy of your attention than the stuff that made it. So here I present a roundup of the climate technologies that you might not have read about in Heatmap this year, but that have investors, academics, and the climate world at large buzzing as we look toward 2025.
This fall when I spoke with Amy Duffuor, a co-founder and partner at the venture capital firm Azolla Ventures, she told me that her firm, which is focused on “overlooked and neglected” climate solutions, has been fascinated by the shipping industry. Because while aviation and shipping each account for about 3% of global emissions, decarbonizing flight seems to get the bulk of the attention. “Sometimes it’s hard for people to imagine what they don’t see or what they’re not interacting with on a day to day basis,” Duffuor told me.
This fall, the firm co-led a $4.5 million seed round of investment in clean fuels producer Oxylus Energy, which converts carbon dioxide into green methanol for use in shipping and other transportation fuels. The tech relies on renewable-powered electrolyzers similar to those used to make green hydrogen, but the company’s secret sauce is a special catalyst that can convert carbon dioxide into methanol at low temperature and pressure, making the whole process more efficient and more economical than ever before.
Duffuor told me that green methanol has a leg up on other clean fuels such as green hydrogen, which has a low energy density, or green ammonia, which is highly toxic and corrosive. While supply of all of these is still limited and costly, Duffuor said that retrofitting an engine to run on green methanol is much simpler than adapting to other alternative fuels, which is why it’s already being done on a small scale today. Indeed, shipping giant Maersk has a number of green methanol boats in its fleet, one of which completed the world’s first green methanol-powered voyage last fall.
Long considered “one of climate science’s biggest taboos,” according to Heatmap’s own Robinson Meyer, geoengineering had a big 2024, and it looks poised to be taken increasingly seriously. In fact, one investor I spoke with this month, Lee Larson of Piva Capital, which focuses on decarbonizing heavy industry, told me he foresees a splashy but undeniably controversial funding announcement coming in the near future. “I don’t think it’s going to be Piva, but someone is going to take a bet on this, and there’s going to be a big funding round for a startup in this space,” he predicted. “Because there’s enough interested people with deep pockets that have been thinking about this space for someone to raise money off of it.”
But if nothing else, this year proved that the backlash would be swift. In June, the city council in the small town of Alameda, California, shut down testing of a solar geoengineering device that could one day be used for “marine cloud brightening” — that is, spraying aerosols into the sky to enable clouds to reflect more sunlight away from Earth — and Harvard University abandoned another solar geoengineering project, which aimed to study how aerosol plumes behave in the stratosphere. At the same time, though, the nonprofit Environmental Defense Fund announced that it would fund research into solar geoengineering to help inform policymakers should it one day become regulated, and the UK also committed to supporting research into various solar geoengineering pathways, including conducting outdoor experiments.
“There’s a growing understanding that, on a per unit of warming avoidance basis, this is just way cheaper than carbon dioxide removal solutions,” Larson told me. From his perspective, the world needs to support this type of research lest a layperson, a billionaire, or a small nation choose to go rogue. “Just given how cheap it is, given how little we know about it, that’s a poor combination — because the chance of someone doing something with a lot of unintended consequences goes up and up.”
The idea is pretty straightforward — install solar panels that can float on the surface of reservoirs, canals, lakes, and the like — but this year it really began to pick up steam. There are myriad benefits to this solution: eliminating land use controversies, built-in temperature regulation (water keeps the panels cool, thus increasing their efficiency), and reducing evaporation from the water bodies. A paper published in Nature this June found that floating solar could meet, on average, 16% of countries’ total energy needs.
And countries big and small are taking note. While there aren’t a lot of specialized floating solar startups seeking VC funding, governments as well as traditional solar manufacturers and project developers are stepping up. The U.S. Department of the Interior announced in April that it’s investing $19 million to install panels over irrigation canals in California, Oregon, and Utah. Zimbabwe recently secured $250 million from the African Export-Import Bank to install floating solar on the world’s largest man-made lake, while China turned on the largest offshore solar farm in the world in November. Taiwan and India have also already deployed large installations, and have plans for more.
I spoke with the lead author of the Nature paper, Dr. Iestyn Woolway of the UK-based Bangor University, way back in June about floating solar’s decarbonization potential. Even he was “quite surprised with the number of countries that could meet a sizable fraction of the energy demands by [floating photovoltaics],” he told me. His modeling shows that Bolivia, for example, could meet about 80% of its energy demand with floating solar, while Ethiopia could meet 100% of its demand, with extra energy to spare.
The next step, he said, is gaining a deeper understanding of the ecological impacts of this technology. “Even if you do cover a water body by something small, like 10%, we don’t know what knock-on effect that would have,” he said.
Soils are some of the world’s most effective carbon sinks, and sustainable farming techniques can enhance soil’s natural carbon sequestration potential. Thus, soil carbon sequestration plays at the intersection of the fuzzy and buzzy regenerative agriculture space and the increasingly scientifically rigorous carbon dioxide removal sector, with its carbon crediting schemes and verification requirements. One investor I spoke with, Amy Francetic of Buoyant Ventures, is eager to find and back a company that can merge these two worlds. “If you could figure out how to sink carbon in a farm and do that in a way that is easy to measure and validate, we don’t have a good solution for that today,” she told me.
As of now, Francetic said, startups are going about this problem by doing labor intensive and expensive soil sampling and “marrying that with geospatial data to try to measure what climate benefits there are of changing certain agricultural practices, doing different row crops, changing the crop rotation, the amount of inputs you put into the crops.” Many have pitched Buoyant on their methodologies for bridging satellite data with soil sampling data, but thus far she’s passed. “None of them have, I think, met the standard of reliability that the financial industry would back from a carbon credit standpoint,” she explained. “That might be one of these holy grail things. If somebody could really do that, it could be very impactful.”
I’ll be honest, before this year I didn’t know what parametric insurance was. But since it came up time and again in conversations with investors about extreme weather and the necessity of climate resilience and adaptation measures, I decided to dig in. Here’s what parametric insurance is: an insurance product that automatically provides rapid payouts to customers in the case of natural disasters or weather events, assuming these events exceed a predefined limit. For example, a policyholder might be paid if the rainfall, wind speed, or temperature of a particular weather event is above or below a certain threshold, with the amount tied to how much the measurement deviates from the limit, not the damages incurred.
With extreme weather events getting more frequent and more intense due to climate change, this has given rise to a crop of startups that can leverage sensors, satellites, and artificial intelligence to quickly and accurately measure the extent of these events, thus enabling parametric insurance for a host of new customers. To name a few companies that have taken advantage: There’s Floodbase and FloodFlash (both focusing on flood insurance, naturally), which have each raised over $10 million in Series A financing; FloodFlash made a series of rapid payouts this year following storms in the UK, getting policyholders their money in as little as 10 hours after the water level exceeded its threshold. There’s Arbol, which protects against a host of weather events from drought to heat waves and cold snaps, and raised a $40 million Series B round this year. And there’s Pula, which helps provide parametric insurance to small-holder farmers in emerging markets, and raised a $20 million Series B round this year.
“This is affecting everybody,” Clea Kolster of Lowercarbon Capital, which led Floodbase’s Series A round, told me when we met at this year’s San Francisco Climate Week. “So how do you actually make sure that people have coverage for it and can continue to have as close to livable lives as possible, even when they’re subject to more frequent extreme weather events?” Investors know the storms are going to keep coming, so this category of adaptation tech is only set to grow.
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SoftBank’s error and Nvidia’s scandal suggest data centers may have 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. (He had at least one more affair with another Nvidia executive, according to The New York Times.) Under Huang’s leadership, Nvidia has invested in a sprawling and sometimes circular network of energy-related companies, including Emerald AI, a startup that helps data centers flex their electricity consumption, and Redwood Materials, a battery recycler and producer led by the former Tesla executive J.B. Straubel. Huang has used Nvidia’s enormous balance sheet to buy down the risk of other AI and AI-related companies, propelling the overall AI trade to become the biggest story in American markets.
Now that balance sheet is in peril: Nvidia’s stock is already down 11% over the past five days, and it has fallen another 8% in after-hours trading since news broke of Huang’s ouster. If the chip designer’s financial network began to fray — or even if the next CEO had a lower risk appetite than Huang — then its demise could impact a much larger set of firms.
Even before the Huang scandal broke, companies 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% on the month before its hebdomas horribilis began, too. The memory and chip makers Micron and Applied Materials are both down more than 25% in about the same period, and GE Vernova and Oklo have fallen nearly 20%. Although the data center company Coreweave rebounded on an earnings beat 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 be getting worryingly better all the time. But even though the politics of data centers and AI seem set to dominate the new Washington, I’m wondering if data centers as a mainstream economic trend might have already peaked. Americans voted for a more subdued AI boom in the midterms. Now it seems like they might get it ahead of schedule.
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.”