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A summer school program in Roanoke, Virginia, could change the way people think about heat.

According to legend, the ghost of Lucy Addison still roams the halls of her namesake middle school in Roanoke, Virginia. She’s particularly fond of the basement, where the art and technology rooms are.
So when Brian Kreppeneck got a few thermal cameras for a summer program he was running this year, he knew exactly how he was going to teach his students how to use them: with a ghost hunt. He took them downstairs to the auditorium, shut off the lights, and had them train the cameras on things like the air-conditioning vents, a digital clock blinking in one corner, and the empty auditorium stage.
“And wouldn't you know it, as we're looking at the auditorium stage, a little mouse ran across the auditorium,” Kreppeneck, a science teacher at the school, told me. “They screamed and ran out, and that’s how they learned to use the thermal cameras.”
The cameras had a use beyond ghost-hunting and scaring schoolchildren (and mice): The students were going to use them to measure temperatures in and around their school. Over the course of a week, they pointed the cameras at all kinds of things in the world around them, from basketball courts baking in the sun to the shady ground underneath trees. They also clipped sensors to their shoes, which measured ambient temperatures as the kids went about their days. But that was just the beginning.
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“We wanted to develop a curriculum where students learn both about the problem of urban heat, and then also are able to connect that with potential solutions that come from urban planning,” said Theodore Lim, assistant professor of urban affairs and planning at Virginia Tech and the designer of the summer program. “We want them to feel like there are things that [they] could do in [their] own neighborhoods to help mitigate some of those temperatures.”
Urban heat is a longstanding, intractable problem. Study after study has shown that cities are noticeably hotter than surrounding rural areas; this is called the Urban Heat Island effect. Many studies have also shown that the hottest parts of most cities tend to be the areas that house lower-income communities and communities of color, thanks to a dearth of vegetation, tightly packed buildings, and an overabundance of construction materials that radiate heat like concrete. Richer neighborhoods, meanwhile, tend to be lusher, with more space between buildings and, often, building materials like wood or brick that do a better job of dissipating heat.
But understanding just how the built environment affects heat is pretty hard. Meteorologists and weather apps tend to draw data from sensors at airports, which can’t give us any insight into the contours of heat within specific neighborhoods. The numbers we see on our phones often don’t reflect the temperatures we feel; a neighborhood by a river or a park, for example, would be much cooler than a neighborhood with high concentrations of concrete and asphalt, yet residents in both places would see the same temperature in their apps or on TV.
After a week of collecting data with another teacher, the middle-schoolers came back to Kreppeneck’s classroom to figure out what all the numbers had to say. Put together, the data from the thermal cameras and the shoe sensors created something few of us get to see: a personalized look at how the built world around them shaped the way heat worked in their lives. As Lim and Kreppeneck expected, the temperatures the kids experienced were often higher than the temperatures measured by the sensors at a nearby airport, sometimes by as much as 30 degrees Fahrenheit:

Each colored line represents the data from a student at one of the five schools that participated, while the black line represents the temperature reported by the weather station at a nearby airport. If we follow a few of the blue lines, which represent students from Addison middle school — the one with the ghost — we see some of their personal temperatures spiking high above the black line. This could be for a few reasons: maybe they’re playing basketball on a concrete court, or eating lunch outside, or walking around a neighborhood with few trees.
But on each day, when the black line is at its peak, we see almost all of the students’ temperatures dip far below it. That was when the kids were cooling off indoors, often in air-conditioned buildings. As day turns to night, we see temperatures at the weather station dip below what some of the kids experienced indoors. By the next morning, as the kids start going about their days, their lines spike above the weather station again.
“Before they did this activity, if you asked one of these middle school kids if humans can control the temperature outside, they’d say no way,” Lim said. “But then they start to make these correlations: Humans make decisions about where to plant trees, or where to build parking lots, or what color different surfaces should be. And so we kind of do control the outdoor temperature.”
This kind of realization also shifts heat away from being a personal issue that can be solved by, say, drinking water or cranking the air conditioner, to a systemic one. There’s something kind of freeing about this: Lim said that instead of being ashamed that their families might not be able to afford air conditioning, the students came to recognize that their neighborhoods were historically hotter because of decisions made by other people. Northeast and Southeast Roanoke, for example, both saw higher temperatures than the Northwest and Southwest quadrants, and the entire city was significantly hotter than the rest of Roanoke County:

Armed with their temperature data, the students spent the second week of their summer program in Kreppeneck’s class learning about urban planning and mapping out ways their own neighborhoods could be redesigned to mitigate heat.
“As science teachers, we’ve always struggled to make the connection between science in the classroom and home,” Kreppeneck told me. “There’s always been some sort of a wall there, where the kids just think science takes place in the classroom. But giving them a real-world project made these concepts transcend the classroom.”
Kreppeneck also talked to his students about activism and advocating for change. This was the idea of Virginia Tech’s Lim; activism gives the kids a sense of agency over their built environment, and it also encourages them to start conversations with the adults in their lives who previously might not have paid much attention to climate change, whether due to a lack of information or the impression that it didn’t impact them. But climate change continues to push global temperatures higher — this September was the hottest on record — and the effect of climate change on heat is becoming increasingly harder to ignore. Creating policy to deal with those changes, however, is a difficult task.
“In Roanoke, as is probably the case in many cities, there's kind of a lot of contention between the government and some of these more vulnerable communities because of the history of urban renewal,” Lim said.
As Martha Park writes in a beautiful illustrated history for Bloomberg, northeast Roanoke was a thriving home for black and immigrant residents prior to urban renewal, a policy James Baldwin once called “negro removal.” Then, in 1955, the city declared the area “blighted,” seized the entire neighborhood through eminent domain, burned the buildings to the ground, and even exhumed nearly a thousand bodies from the local cemetery, dumping them in a mass grave outside town. Today, the area is mostly pavement and industrial parks.
“There’s a lot of mistrust on both sides,” Lim told me. “I’ve found that using youth-based community science is a relatively uncontroversial way of getting at some issues that actually do have very deep systemic causes.”
This was the third year Lim ran his program in Roanoke. In earlier years, Lim ran the program by himself at just one of the schools; this summer’s group, consisting of 130 students from all five Roanoke middle schools over the course of six weeks, was by far the largest, and Kreppeneck and another teacher took over most of the day-to-day. Going forward, Lim hopes it’ll turn into something more than a middle-school summer program; community leaders are talking about putting together a climate action plan for the city, and he’s exploring the possibility of creating programs at local high schools and churches that build on the middle school curriculum. The idea is to get the message about heat, and the solutions for it, out into the community in as many ways as possible.
Kreppeneck’s already planning on incorporating urban heat into his syllabus for the spring semester, expanding the two-week summer program into something that the students can engage with on a deeper level.
“My hope is that the kids will start talking about it, and start taking ownership,” Kreppeneck said. “Watching the looks on their faces, watching how the wheels started turning as to how they would change their neighborhood, it was very rewarding. If they believe in something, they can make change. It starts with them.”
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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.”