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The Department of Energy is advancing 24 companies in its purchase prize contest. What these companies are getting is more important than $50,000.

The Department of Energy is advancing its first-of-a-kind program to stimulate demand for carbon removal by becoming a major buyer. On Tuesday, the agency awarded $50,000 to each of 24 semifinalist companies competing to suck carbon dioxide out of the atmosphere on behalf of the U.S. government. It will eventually spend $30 million to buy carbon removal credits from up to 10 winners.
The nascent carbon removal industry is desperate for customers. At a conference held in New York City last week called Carbon Unbound, startup CEOs brainstormed how to convince more companies to buy carbon removal as part of their sustainability strategies. On the sidelines, attendees lamented to me that there were hardly even any potential buyers at the conference — what a missed opportunity.
Conference panelists asserted that the industry needed to rebuild trust. Purchasing carbon credits has become a risky strategy for companies. In one investigation after another, journalists and researchers have shown that many of the projects behind these credits fail to produce the climate benefits they advertise. There’s a class action lawsuit against Delta Air Lines for marketing itself as “carbon neutral” after purchasing such questionable carbon offsets.
Carbon removal credits are technically different from the offsets that companies bought in the past, which were based on projects that reduce emissions to the atmosphere rather than remove carbon that’s already heating the planet. But there’s still a risk of sham projects. And because the field is relatively new, there’s not yet a set of widely agreed-upon standards to measure and verify how much carbon is being removed.
The Department of Energy hopes that by selecting 24 companies that have been vetted by government scientists, it’s sending a signal to the private sector that there are at least some projects that are legitimate. “We can’t wait to invest in CDR until those standards have been codified,” Noah Deich, the agency’s deputy assistant secretary of carbon management, told me. “We need to invest now so that we actually get the data that we can use to inform the standards, and then over time codify those standards and strengthen and improve them.”
The semifinalists represent a wide range of carbon removal methods. Nine of the companies are building machines that capture carbon dioxide directly from the air. Seven take advantage of the natural ability of plants and algae to suck up carbon, and have developed systems to sequester that carbon for far longer than would otherwise occur. Five employ rocks that naturally absorb carbon and have figured out how to speed up the process. The last three capture carbon from the ocean, enabling the world’s biggest carbon sink to draw down more from the atmosphere.
To proceed to the final round, all of these companies will have to draw up contracts that say how quickly they will be able to remove the promised tons of carbon, and who they will work with to measure and verify the process.
The Biden administration is spending billions on research, development, and deployment of carbon removal. Some of the semifinalists, like Climeworks, Heirloom Carbon, and 1PointFive, were already selected for grants from the DOE to build the U.S.’s first “direct air capture hubs” — projects capable of removing one million tons of carbon from the air per year. But those hubs will fail if the companies don’t ultimately find buyers for their carbon removal. “Every single CDR project that we’re seeing today requires some sort of voluntary credit sale to be profitable,” said Deich.
The Department of Energy’s $30 million budget to buy carbon removal is relatively small. The semifinalists said they could deliver a wide range of credits with their share of the funds, from 3,000 over a three-year period, to more than 30,000. In any case, DOE is unlikely to afford much more than 100,000 tons of carbon taken out of the atmosphere, equivalent to about 0.002% of the CO2 the United States emitted in 2022. When distributed among 10 companies, it’s certainly not enough to finance a project. But Deich told me he sees this contest as a public-private partnership. The agency is challenging the semifinalists to leverage the DOE’s recognition to try and sell as many credits as they can. It’s one of the criteria they’ll be judged on for the final phase of the contest.
Several semifinalists I spoke with were optimistic the DOE’s backing would help. “One of the things that the private sector is wrestling with is the technical underwriting of various carbon dioxide removal technologies,” Barclay Rogers, the CEO of the carbon removal company Graphyte, told me. Graphyte’s process almost sounds too simple to work. The company takes discarded plant matter from forests and fields, dries it out so that it doesn’t decompose, compresses it into bricks, and then buries them. Graphyte has already built a small processing facility in Arkansas and secured a burial site that could store an estimated 1.5 million tons of CO2. Rogers was excited to have DOE’s backing as “a broad signal to the market of the viability of Graphyte’s carbon casting process.”
Others were grateful that the government was branching out to new technologies. To date, most of the DOE’s carbon removal programs have supported direct air capture. Companies working on other approaches have been shut out of funding opportunities, and some worry that this has contributed to a perception among buyers that direct air capture is the only valid method. “We think this is a huge step forward, since it’s really the first time not only that the U.S. government is going to become a purchaser of carbon removal, but also funding a full range of carbon removal solutions,” Nora Cohen Brown, head of market development and policy at Charm Industrial, told me. (Charm also buries plant waste underground, but in the form of oil.) “We really think that biomass CDR has immense potential,” she said. “It’s a big deal to have DOE’s blessing for that pathway.”
Edward Sanders, the chief operating officer of a startup called Equatic, told me that being a semifinalist meant the company would be able to build a plant in the U.S. much sooner than it initially planned. Equatic has developed technology to remove carbon from seawater, enabling the ocean to take up more carbon. It’s currently building its first large-scale plant in Singapore. “This tells prospective future buyers that there is a role to play in the near term in the U.S. for a marine-based pathway.”
Many of the companies on the list, including the three I just mentioned, have already been relatively successful in selling credits. Graphyte sold 10,000 to American Airlines. Equatic has a 62,000 deal with Boeing. Charm will remove more than 100,000 tons for Frontier Climate, a group of buyers that includes Stripe, Alphabet, Shopify, and Meta. But even though a handful of tech companies and airlines are buying carbon removal, these sweeping gestures are not enough to sustain the industry, let alone grow it to the scale that scientists say will be necessary to halt climate change.
DOE’s purchase may help increase confidence in some of these companies and approaches, but it may not do much to solve another problem: There’s little incentive for anyone to pay for carbon removal today, and it’s much more expensive than other options companies have to reduce their emissions. Credits can cost between several hundred to more than a thousand dollars each.
Deich said the agency was trying to set an example for other buyers. Instead of creating a net-zero target and searching for the cheapest credits to accomplish its goal, it’s prioritizing quality and only buying what it can afford. “We need to pay what it costs,” he said, “and then developers can develop projects and figure out how to do it cheaper so that over time, it starts to come down the cost curve significantly, and we can buy larger and larger quantities.”
But this is only the near term plan to help the industry mature. Ultimately, Deich doesn’t think that the voluntary trade of credits will be enough to support the levels of carbon removal that will make a difference in climate change. He sees this purchase prize program as a way to start building the government’s capacity to play a larger role. “There’s going to need to be some sort of mandate or public procurement that happens for the field to really scale beyond 2030,” he said.
Avnos, Inc. — direct air capture — 3,000 credits
Carbon America — direct Air Capture — 3,400 credits
CarbonCapture, Inc. — direct air capture — 3,333 credits
Climeworks — direct air capture — 3,500 credits
Global Thermostat and Fervo Energy — direct air capture — 3,500 credits
Heirloom — direct air capture — 3,030 credits
1PointFive — direct air capture — 3,861 credits
280 Earth — direct air capture — 3,000 credits
8 Rivers — direct air capture — 7,200 credits
Arbor Energy — biomass with carbon removal and storage — 8,000 credits
Carbon Lockdown — biomass with carbon removal and storage — 17,143 credits
Charm Industrial — biomass with carbon removal and storage — 5,000 credits
Clean Energy Systems — biomass with carbon removal and storage — 11,320 credits
Climate Robotics — biochar — 30,252 credits
Graphyte — biomass with carbon removal and storage — 30,000 credits
Vaulted Deep — biomass with carbon removal and storage — 10,320 credits
Alkali Earth — enhanced rock weathering and mineralization — 8,108 credits
CREW Carbon — enhanced rock weathering and mineralization — 7,500 credits
Eion — enhanced rock weathering and mineralization — 9,900 credits
Lithos Carbon — enhanced rock weathering and mineralization — 8,109 credits
Mati Carbon — enhanced rock weathering and mineralization — 4,561 credits
Ebb Carbon — marine-based carbon removal — 3,000 credits
Equatic — marine-based carbon removal — 6,521 credits
Vycarb Inc. — marine-based carbon removal — 3,000 credits
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The startup — founded by the former head of Tesla Energy — is trying to solve a fundamental coordination problem on the grid.
The concept of virtual power plants has been kicking around for decades. Coordinating a network of distributed energy resources — think solar panels, batteries, and smart appliances — to operate like a single power plant upends our notion of what grid-scale electricity generation can look like, not to mention the role individual consumers can play. But the idea only began taking slow, stuttering steps from theory to practice once homeowners started pairing rooftop solar with home batteries in the past decade.
Now, enthusiasm is accelerating as extreme weather, electricity load growth, and increased renewables penetration are straining the grid and interconnection queue. And the money is starting to pour in. Today, home battery manufacturer and VPP software company Lunar Energy announced $232 million in new funding — a $102 million Series D round, plus a previously unannounced $130 million Series C — to help deploy its integrated hardware and software systems across the U.S.
The company’s CEO, Kunal Girotra, founded Lunar Energy in the summer of 2020 after leaving his job as head of Tesla Energy, which makes the Tesla Powerwall battery for homeowners and the Megapack for grid-scale storage. As he put it, back then, “everybody was focused on either building the next best electric car or solving problems for the grid at a centralized level.” But he was more interested in what was happening with households as home battery costs were declining. “The vision was, how can we get every home a battery system and with smart software, optimize that for dual benefit for the consumer as well as the grid?”
VPPs work by linking together lots of small energy resources. Most commonly, this includes solar, home batteries, and appliances that can be programmed to adjust their energy usage based on grid conditions. These disparate resources work in concert conducted by software that coordinates when they should charge, discharge, or ramp down their electricity use based on grid needs and electricity prices. So if a network of home batteries all dispatched energy to the grid at once, that would have the same effect as firing up a fossil fuel power plant — just much cleaner.
Lunar’s artificial intelligence-enabled home energy system analyzes customers’ energy use patterns alongside grid and weather conditions. That allows Lunar’s battery to automatically charge and discharge at the most cost-effective times while retaining an adequate supply of backup power. The batteries, which started shipping in California last year, also come integrated with the company’s Gridshare software. Used by energy companies and utilities, Gridshare already manages all of Sunrun’s VPPs, including nearly 130,000 home batteries — most from non-Lunar manufacturers — that can dispatch energy when the grid needs it most.
This accords with Lunar’s broader philosophy, Girotra explained — that its batteries should be interoperable with all grid software, and its Gridshare platform interoperable with all batteries, whether they’re made by Lunar or not. “That’s another differentiator from Tesla or Enphase, who are creating these walled gardens,” he told me. “We believe an Android-like software strategy is necessary for the grid to really prosper.” That should make it easier for utilities to support VPPs in an environment where there are more and more differentiated home batteries and software systems out there.
And yet the real-world impact of VPPs remains limited today. That’s partially due to the main problem Lunar is trying to solve — the technical complexity of coordinating thousands of household-level systems. But there are also regulatory barriers and entrenched utility business models to contend with, since the grid simply wasn’t set up for households to be energy providers as well as consumers.
Girotra is well-versed in the difficulties of this space. When he first started at Tesla a decade ago, he helped kick off what’s widely considered to be the country’s first VPP with Green Mountain Power in Vermont. The forward-looking utility was keen to provide customers with utility-owned Tesla Powerwalls, networking them together to lower peak system demand. But larger VPPs that utilize customer-owned assets and seek to sell energy from residential batteries into wholesale electricity markets — as Lunar wants to do — are a different beast entirely.
Girotra thinks their time has come. “This year and the next five years are going to be big for VPPs,” he told me. The tide started to turn in California last summer, he said, after a successful test of the state’s VPP capacity had over 100,000 residential batteries dispatching more than 500 megawatts of power to the grid for two hours — enough to power about half of San Francisco. This led to a significant reduction in electricity demand during the state’s evening peak, with the VPP behaving just like a traditional power plant.
Armed with this demonstration of potential and its recent influx of cash, Lunar aims to scale its battery fleet, growing from about 2,000 deployed systems today to about 10,000 by year’s end, and “at least doubling” every year after that. Ultimately, the company aims to leverage the popularity of its Gridshare platform to become a market maker, helping to shape the structure of VPP programs — as it’s already doing with the Community Choice Aggregators that it’s partnered with so far in California.
In the meantime, Girotra said Lunar is also involved in lobbying efforts to push state governments and utilities to make it easier for VPPs to participate in the market. “VPPs were always like nuclear fusion, always for the future,” he told me. But especially after last year’s demonstration, he thinks the entire grid ecosystem, from system operators to regulators, are starting to realize that the technology is here today. ”This is not small potatoes anymore.”
If all the snow and ice over the past week has you fed up, you might consider moving to San Francisco, Los Angeles, Phoenix, Austin, or Atlanta. These five cities receive little to no measurable snow in a given year; subtropical Atlanta technically gets the most — maybe a couple of inches per winter, though often none. Even this weekend’s bomb cyclone, which dumped 7 inches across parts of northeastern Georgia, left the Atlanta suburbs with too little accumulation even to make a snowman.
San Francisco and the aforementioned Sun Belt cities are also the five pilot locations of the all-electric autonomous-vehicle company Waymo. That’s no coincidence. “There is no commercial [automated driving] service operating in winter conditions or freezing rain,” Steven Waslander, a University of Toronto robotics professor who leads WinTOR, a research program aimed at extending the seasonality of self-driving cars, told me. “We don’t have it completely solved.”
Snow and freezing rain, in particular, are among the most hazardous driving conditions, and 70% of the U.S. population lives in areas that experience such conditions in winter. But for the same reasons snow and ice are difficult for human drivers — reduced visibility, poor traction, and a greater need to react quickly and instinctively in anticipation of something like black ice or a fishtailing vehicle in an adjacent lane — they’re difficult for machines to manage, too.
The technology that enables self-driving cars to “see” the road and anticipate hazards ahead comes in three varieties. Tesla Autopilot uses cameras, which Tesla CEO Elon Musk has lauded for operating naturally, like a human driver’s eye — but they have the same limitations as a human eye when conditions deteriorate, too.
Lidar, used by Waymo and, soon, Rivian, deploys pulses of light that bounce off objects and return to sensors to create 3D images of the surrounding environment. Lidar struggles in snowy conditions because the sensors also absorb airborne particles, including moisture and flakes. (Not to mention, lidar is up to 32 times more expensive than Tesla’s comparatively simple, inexpensive cameras.) Radar, the third option, isn’t affected by darkness, snow, fog, or rain, using long radio wavelengths that essentially bend around water droplets in the air. But it also has the worst resolution of the bunch — it’s good at detecting cars, but not smaller objects, such as blown tire debris — and typically needs to be used alongside another sensor, like lidar, as it is on Waymo cars.
Driving in the snow is still “definitely out of the domain of the current robotaxis from Waymo or Baidu, and the long-haul trucks are not testing those conditions yet at all,” Waslander said. “But our research has shown that a lot of the winter conditions are reasonably manageable.”
To boot, Waymo is now testing its vehicles in Tokyo and London, with Denver, Colorado, set to become the first true “winter city” for the company. Waymo also has ambitions to expand into New York City, which received nearly 12 inches of snow last week during Winter Storm Fern.
But while scientists are still divided on whether climate change is increasing instances of polar vortices — which push extremely cold Arctic air down into the warmer, moister air over the U.S., resulting in heavy snowfall — we do know that as the planet warms, places that used to freeze solid all winter will go through freeze-thaw-refreeze cycles that make driving more dangerous. Freezing rain, which requires both warm and cold air to form, could also increase in frequency. Variability also means that autonomous vehicles will need to navigate these conditions even in presumed-mild climates such as Georgia.
Snow and ice throw a couple of wrenches at autonomous vehicles. Cars need to be taught how to brake or slow down on slush, soft snow, packed snow, melting snow, ice — every variation of winter road condition. Other drivers and pedestrians also behave differently in snow than in clear weather, which machine learning models must incorporate. The car itself will also behave differently, with traction changing at critical moments, such as when approaching an intersection or crosswalk.
Expanding the datasets (or “experience”) of autonomous vehicles will help solve the problem on the technological side. But reduced sensor accuracy remains a big concern — because you can only react to hazards you can identify in the first place. A crust of ice over a camera or lidar sensor can prevent the equipment from working properly, which is a scary thought when no one’s in the driver’s seat.
As Waslander alluded to, there are a few obvious coping mechanisms for robotaxi and autonomous vehicle makers: You can defrost, thaw, wipe, or apply a coating to a sensor to keep it clear. Or you can choose something altogether different.
Recently, a fourth kind of sensor has entered the market. At CES in January, the company Teradar demonstrated its Summit sensor, which operates in the terahertz band of the electromagnetic spectrum, a “Goldilocks” zone between the visible light used by cameras and the human eye and radar. “We have all the advantages of radar combined with all the advantages of lidar or camera,” Gunnar Juergens, the SVP of product at Teradar, told me. “It means we get into very high resolution, and we have a very high robustness against any weather influence.”
The company, which raised $150 million in a Series B funding round last year, says it is in talks with top U.S. and European automakers, with the goal of making it onto a 2028 model vehicle; Juergens also told me the company imagines possible applications in the defense, agriculture, and health-care spaces. Waslander hadn’t heard of Teradar before I told him about it, but called the technology a “super neat idea” that could prove to be a “really useful sensor” if it is indeed able to capture the advantages of both radar and lidar. “You could imagine replacing both with one unit,” he said.
Still, radar and lidar are well-established technologies with decades of development behind them, and “there’s a reason” automakers rely on them, Waslander told me. Using the terahertz band, “there’s got to be some trade-offs,” he speculated, such as lower measurement accuracy or higher absorption rates. In other words, while Teradar boasts the upsides of both radar and lidar, it may come with some of their downsides, too.
Another point in Teradar’s favor is that it doesn’t use a lens at all — there’s nothing to fog, freeze, or salt over. The sensor could help address a fundamental assumption of autonomy — as Juergen put it, “if you transfer responsibility from the human to a machine, it must be better than a human.” There are “very good solutions on the road,” he went on. “The question is, can they handle every weather or every use case? And the answer is no, they cannot.” Until sensors can demonstrate matching or exceeding human performance in snowy conditions — whether through a combination of lidar, cameras, and radar, or through a new technology such as Teradar’s Summit sensor — this will remain true.
If driving in winter weather can eventually be automated at scale, it could theoretically save thousands of lives. Until then, you might still consider using that empty parking lot nearby to brush up on your brake pumping.
Otherwise, there’s always Phoenix; I’ve heard it’s pleasant this time of year.
Current conditions: After a brief reprieve of temperatures hovering around freezing, the Northeast is bracing for a return to Arctic air and potential snow squalls at the end of the week • Cyclone Fytia’s death toll more than doubled to seven people in Madagascar as flooding continues • Temperatures in Mongolia are plunging below 0 degrees Fahrenheit for the rest of the workweek.
Secretary of the Interior Doug Burgum suggested the Supreme Court could step in to overturn the Trump administration’s unbroken string of losses in all five cases where offshore wind developers challenged its attempts to halt construction on turbines. “I believe President Trump wants to kill the wind industry in America,” Fox Business News host Stuart Varney asked during Burgum’s appearance on Tuesday morning. “How are you going to do that when the courts are blocking it?” Burgum dismissed the rulings by what he called “court judges” who “were all at the district level,” and said “there’s always the possibility to keep moving that up through the chain.” Burgum — who, as my colleague Robinson Meyer noted last month, has been thrust into an ideological crisis over Trump’s actions toward Greenland — went on to reiterate the claims made in a Department of Defense report in December that sought to justify the halt to all construction on offshore turbines on the grounds that their operation could “create radar interference that could represent a tremendous threat off our highly populated northeast coast.” The issue isn’t new. The Obama administration put together a task force in 2011 to examine the problem of “radar clutter” from wind turbines. The Department of Energy found that there were ways to mitigate the issue, and promoted the development of next-generation radar that could see past turbines.
The Trump administration, meanwhile, is facing accusations of violating the Constitution with its orders to keep coal-fired power stations operating past planned retirement. By mandating their coal plants stay open, two electrical cooperatives in Colorado said the Energy Department’s directive “constitutes both a physical taking and a regulatory taking” of property by the government without just compensation or due process, Utility Dive reported.
Back in December, the promise of a bipartisan deal on permitting reform seemed possible as the SPEED Act came up for a vote in the House. At the last minute, however, far-right Republicans and opponents of offshore wind leveraged their votes to win an amendment specifically allowing President Donald Trump to continue his attempts to kill off the projects to build turbines off the Eastern Seaboard. With key Democrats in the Senate telling Heatmap’s Jael Holzman that their support hinged on legislation that did the opposite of that, the SPEED Act stalled out. Now a new bipartisan bill aims to rectify what went wrong. The FREEDOM Act — an acronym for “Fighting for Reliable Energy and Ending Doubt for Open Markets” — would prevent a Republican administration from yanking permits from offshore wind or a Democratic one from going after already-licensed oil and gas projects, while setting new deadlines for agencies to speed up application reviews. I got an advanced copy of the bill Monday night, so you can read the full piece on it here on Heatmap.
One element I didn’t touch on in my story is what the legislation would do for geothermal. Next-generation geothermal giant Fervo Energy pulled off its breakthrough in using fracking technology to harness the Earth’s heat in more places than ever before just after the Biden administration completed work on its landmark clean energy bills. As a result, geothermal lost out on key policy boosts that, for example, the next-generation nuclear industry received. The FREEDOM Act would require the government to hold twice as many lease sales on federal lands for geothermal projects. It would also extend the regulatory shortcuts the oil and gas industry enjoys to geothermal companies.
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Take a look at the above chart. In the United States, new gas power plants are surging to meet soaring electricity demand. At last count, two thirds of projects currently underway haven’t publicly identified which manufacturer is making their gas turbines. With the backlog for turbines now stretching to the end of the decade, Siemens Energy wants to grow its share of booming demand. The German company, which already boasts the second-largest order book in the U.S. market, is investing $1 billion to produce more turbines and grid equipment. “The models need to be trained,” Christian Bruch, the chief executive of Siemens Energy, told The New York Times. “The electricity need is going to be there.”
While most of the spending is set to go through existing plants in Florida and North Carolina, Siemens Energy plans to build a new factory in Mississippi to produce electric switchgear, the equipment that manages power flows on the grid. It’s hardly alone. In September, Mitsubishi announced plans to double its manufacturing capacity for gas turbines over the next two years. After the announcement, the Japanese company’s share price surged. Until then, investors’ willingness to fund manufacturing expansions seemed limited. As Heatmap’s Matthew Zeitlin put it, “Wall Street has been happy to see developers get in line for whatever turbines can be made from the industry’s existing facilities. But what happens when the pressure to build doesn’t come from customers but from competitors?” Siemens just gave its answer.
At his annual budget address in Harrisburg, Pennsylvania Governor Josh Shapiro touted Amazon’s plans to invest $20 billion into building two data center campuses in his state. But he said it’s time for the state to become “selective about the projects that get built here.” To narrow the criteria, he said developers “must bring their own power generation online or fully fund new generation to meet their needs — without driving up costs for homeowners or businesses.” He insisted that data centers conserve more water. “I know Pennsylvanians have real concerns about these data centers and the impact they could have on our communities, our utility bills, and our environment,” he said, according to WHYY. “And so do I.” The Democrat, who is running for reelection, also called on utilities to find ways to slash electricity rates by 20%.
For the first time, every vehicle on Consumer Reports’ list of top picks for the year is a hybrid (or available as one) or an electric vehicle. The magazine cautioned that its endorsement extended to every version of the winning vehicles in each category. “For example, our pick of the Honda Civic means we think the gas-only Civic, the hybrid, and the sporty Si are all excellent. But for some models, we emphasize the version that we think will work best for most people.” But the publication said “the hybrid option is often quieter and more refined at speed, and its improved fuel efficiency usually saves you money in the long term.”
Elon Musk wants to put data centers in space. In an application to the Federal Communications Commission, SpaceX laid out plans to launch a constellation of a million solar-powered data centers to ease the strain the artificial intelligence boom is placing on the Earth’s grids. Each data center, according to E&E News, would be 31 miles long and operate more than 310 miles above the planet’s surface. “By harnessing the Sun’s abundant, clean energy in orbit — cutting emissions, minimizing land disruption, and reducing the overall environmental costs of grid expansion — SpaceX’s proposed system will enable sustainable AI advancement,” the company said in the filing.