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Counties that veered from Obama in 2008 to Trump in 2016 are more likely to oppose renewables development.

In Texas, the Oak Run Solar Project would have been a slam dunk.
Developers would install 800 megawatts of solar panels — enough to power 800,000 homes — across nine square miles of unused land. It would devote some of its acreage to new farming practices that incorporate solar panels. And it would sell its electricity cheaply — and profitably — because it was near the state capital and because it could take advantage of a pre-existing onsite connection to the regional power grid.
But Oak Run wasn’t proposed in Texas. It was proposed in Ohio, and that means it has faced enormous opposition. Ohio has some of the country’s strictest restrictions on solar development, and 10 counties have blocked solar development outright.
Although Madison County, where Oak Run was proposed, is not one of them, the blowback to the project cost a local Republican county commissioner his job. Oak Run was eventually approved by the state’s power siting board earlier this year, but its opponents are now appealing that decision in the state’s Supreme Court.
Madison County, Ohio, also illustrates the political transformation that has revolutionized the upper Midwest. The predominantly rural county near the state’s capital, Columbus, has favored Republicans since the 1960s. But in recent decades it has swung hard to the right. In 2008, Barack Obama won nearly 40% of the county’s vote. Eight years later, Hillary Clinton picked up just 27%.
These two facts may seem like they have little to do with each other. But they point to one of the biggest trends in clean energy development across the country: The counties that voted for Barack Obama in 2008 and then Donald Trump in 2016 are some of the worst places in the country to permit and build renewable projects.
The size of a county’s swing from 2008 to 2016 is one of the biggest predictors of whether a proposed wind or solar project will be contested or blocked, according to a new Heatmap Pro analysis of more than 8,500 projects and local policies around the country.
The magnitude of that swing is by far the most important political variable to emerge from Heatmap Pro’s analysis of more than 60 risk factors influencing community support or opposition to renewable projects. It is more strongly associated with a given project’s success than whether a county votes for Democratic or Republican candidates overall.
The only variables that are more closely correlated than the 2008-to-2016 swing are fundamental measures of a region’s population or local economy, such as its median income, racial demographics, or dominant industries. Towns and regions that heavily depend on farming, for instance, have become particularly reluctant to accept new solar projects in recent years.
Heatmap Pro’s analysis focused not only on whether a county’s residents support wind or solar projects in theory, but also on whether renewable projects proposed in the area are canceled, contested, or exposed to political turbulence. It surveyed more than 7,000 wind and solar projects proposed and built across the United States since the 1990s.
Many of the counties with the largest Obama-to-Trump swings have passed proposals meant to limit renewable development. Vermillion County in Indiana — where more than a quarter of voters swung from Obama to Trump — has an extensive set of restrictions on new solar projects. Solar projects in Elk County, Pennsylvania, which saw a similar swing, have also turned out against solar projects using up “prime farmland.”
There are a few reasons why the Obama-to-Trump swing might be associated with more opposition to renewables.
In 2008, solar and wind were still frontier technologies and were not price-competitive with fossil fuels. Although vaguely associated with Democrats, politicians on both sides of the aisles championed wind and solar so as to wean the country off foreign oil.
But in the following decade, the U.S. increased its solar capacity by roughly 100-fold, while it has more than doubled its installed wind capacity.. Today, solar and wind energy are major features of the electricity system, and many Republicans have openly embraced fossil fuels and cast doubt on the value of cleaner alternatives.
To be sure, the Obama-to-Trump swing was influenced by other social and economic factors, as well as a state’s specific political environment. Leah Stokes, a UC Santa Barbara political scientist who has studied the growing local opposition to wind farms, told me that the correlation with Obama-Trump voters may originate from Trump’s dominance of the upper Midwest in 2016. Because a small group of anti-renewable advocates can change an entire region’s policies, that could lead to more opposition to renewables in one part of the country or another.
“Is there a person, or a network of people, who are going place by place pushing these anti-solar and wind local laws? That would lead to a geographic concentration,” she said.
Even within individual counties, the electorate wasn’t the same in 2016 as it was in 2008. Throughout the 2010s, tens of millions of Americans moved around the country, with the largest net change moving from the Northeast to the South. Cities became younger on average, while rural areas and suburbs became older.
Even within counties, a different set of voters showed up to the polls in each election. One reason why the 2012 election might not be correlated with opposition to renewables is that many voters who voted for Obama in 2008 skipped the next cycle. Those same voters — many of whom were white and working class — showed back up in 2016 and backed Trump.
What is driving the opposition to renewables? Perhaps a county’s swing against renewable energy is happening precisely because voters there are persuadable. From 2008 to 2016, many voters in these counties changed their minds about which candidate or political party to support. As they shifted their stance to the right, they also adopted more seemingly Republican views about wind and solar development. Donald Trump has distinguished himself by his embrace of fossil fuels and climate change skepticism — perhaps as voters come to support him, they also adopt his positions.
What’s interesting, however, is that deep red counties that have not seen a political shift — places that backed, say, McCain and Romney by roughly the same margin as they backed Trump in 2016 — continue to build wind and solar at a good clip. Texas, for instance, is the No. 1 state for renewable deployment. A county’s partisanship, in other words, is not as good a predictor of its opposition to renewables as its swinginess.
Edgar Virguez, an energy systems engineer at the Carnegie Institution for Science at Stanford University, has studied what drives opposition to renewables in North Carolina. He told me that some of the same factors that predict a county’s Trump support — such as its population density and education level — also predict whether that county has enacted a local restriction on renewable energy.
When he and his colleagues studied local policies in North Carolina, they found that lower density and less educated counties “had significantly higher reductions in the land available for solar development” when compared with denser or more educated counties, he said. Once a county has fewer than 35 people per square mile, or when less than 20% of the population has a bachelor’s degree, the number of restrictions on local land use shot up. That’s a problem for decarbonization, he added, because less dense counties also usually have the best and most affordable land available for solar development.
That finding may not hold true in other states. Heatmap, for instance, has found that whiter and more educated counties are more likely to oppose renewables. And to some degree, less dense counties are exactly where you’d expect to see more solar and wind projects get built — and thus more local policies restricting them pop up. But it is nonetheless not great news for advocates, given that a couple of America’s political institutions — namely, the Senate and the Electoral College — favor rural voters or Midwestern states. If the trend takes root, then it could eventually curtail renewable development across the country. That question — and many others — will partly be decided in this week’s presidential election.
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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.