You’re out of free articles.
This Halloween, get 20% off using code ADVANCED
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
Sign In or Create an Account.
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Welcome to Heatmap
Thank you for registering with Heatmap. Climate change is one of the greatest challenges of our lives, a force reshaping our economy, our politics, and our culture. We hope to be your trusted, friendly, and insightful guide to that transformation. Please enjoy your free articles. You can check your profile here .
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Subscribe to get unlimited Access
Hey, you are out of free articles but you are only a few clicks away from full access. Subscribe below and take advantage of our introductory offer.
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Create Your Account
Please Enter Your Password
Forgot your password?
Please enter the email address you use for your account so we can send you a link to reset your password:

Ask any climate wonk what’s holding back clean energy in the U.S. and you’re likely to get the same answer — not enough power lines. But what if the problem isn’t the number of power lines, but rather the outdated metal wires they’re made of?
Restringing transmission lines with more advanced wires, a process known as “reconductoring,” has the potential to double the amount of electricity our existing transmission system can handle, for less than half the price of building new lines. That’s the main finding of a recently published working paper from researchers at the University of California, Berkeley, and Gridlab, an energy consulting firm.
There are a few reasons that something as boring and seemingly ubiquitous as power lines are so crucial to the energy transition. Electrifying our cars and homes will increase demand for electricity, and much of the system is already too congested to integrate new wind and solar power plants. Plus, there just aren’t enough lines that run from the sunniest, windiest places to the places where most people actually live.
To realize the emission reduction potential of the clean energy subsidies in the Inflation Reduction Act, we have to more than double the rate of transmission expansion, according to research from Princeton University’s Repeat Project. Clean energy projects already face major delays and are often hit with exorbitant bills to connect to the grid. A study from Lawrence Berkeley National Laboratory called “Queued Up” found that at the end of 2022, there were more than 10,000 power plant and energy storage projects waiting for permission to connect to the grid — enough to double electricity production in the country. Some 95% of them were zero-carbon resources.
The main problem is permitting. Establishing rights-of-way for new power lines requires extensive environmental review and invites vicious local opposition. People don’t want to look at more wires strung across the landscape. They worry the eyesore will decrease their property value, or that the construction will hurt local ecosystems. New power lines often take upwards of 10 years to plan, permit, and build.
But it’s possible to avoid this time-consuming process, at least in many cases, by simply reconductoring lines along existing rights-of-way. Most of our existing power lines have a steel core surrounded by strands of aluminum. Advanced conductors replace the steel with a lighter but stronger core made of a composite material, such as carbon fiber. This subtle shift in materials and design enables the line to operate at higher temperatures, with less sag, significantly increasing the amount of power it can carry.
Advanced conductors cost two to four times more than conventional power lines — but upgrading an existing line to use advanced conductors can be less than half what a new power line would cost because it eliminates much of the construction spending and fees from permitting for new rights-of-way, the Berkeley study found.
“The most compelling, exciting thing is that it only requires a maintenance permit,” Duncan Callaway, an associate professor of energy and resources at Berkeley and one of the authors said while presenting the research over Zoom last week.
The paper highlights a 2016 project in southeastern Texas. Due to rapid population growth in the area, the local utility, American Electric Power, was seeing higher demand for electricity at peak times than it was prepared for, leading to blackouts. It needed to come up with a solution, fast, and decided that reconductoring 240 miles of its transmission lines would take less time than permitting new ones. The project ended up finishing ahead of schedule and under budget, at a cost of $900,000 per mile. By comparison, the 3,600 miles of new lines built under Texas’ Competitive Renewable Energy Zone program, which were built to connect wind-rich areas to population centers, cost more than double, at an average of $1.9 million per mile.
Callaway and his co-authors also plugged their findings into a power system expansion model — basically a computer program that maps out the most cost-effective mix of technologies to meet regional electric power demand. They fed the model a scenario where the only option for transmission was to build new lines at their slow, historical rate, as well as a scenario where there was also an option to reconductor along existing rights-of-way. The second scenario resulted in nearly four times as much transmission capacity by 2035, enabling the country to achieve a more than 90% clean electric grid by that date.
There are cases where new power lines are needed — for example, to establish a new route to access a high-quality renewable resource, Emilia Chojkiewicz, another author of the study, told me in an email. But she said it nearly always makes sense to consider reconductoring given the potential to double capacity and do so much more quickly. “Unfortunately,” she added, “current transmission planning practices do not tend to incentivize or even consider reconductoring.”
This all seems so ridiculously easy that it begs the question: Why aren’t utilities already rushing to do it? During the webinar last week, Chojkiewicz and her co-authors said part of the problem is just a lack of awareness and comfort with the technology. But the bigger issue is that utilities are not incentivized to look for cheaper, more efficient solutions like reconductoring because they profit off capital spending.
To change this, they suggested that the Federal Energy Regulatory Commission, which oversees interstate transmission, and state public service commissions, which regulate utilities at the state level, mandate the consideration of reconductoring in transmission and resource planning processes, and to properly value the benefits that advanced conductors provide. The Department of Energy could also consider instituting a national conductor efficiency standard, so that all new wires installed, whether along existing rights-of-way or new routes, achieve a minimum level of performance.
Reconductoring isn’t the only no-brainer alternative to building new power lines. Another study from the clean energy think tank RMI published last week illustrates the opportunity with even cheaper tweaks called “grid enhancing technologies.” One option is to install sensors that collect data on wind speed, temperature, and other factors that affect power lines in real time, called dynamic line ratings. These sensors allow utilities to safely increase the amount of power transmitted when weather conditions permit it. There are also power flow controls that can redirect power away from congested lines so that it can be transmitted elsewhere rather than wasted.
RMI found that in the PJM interconnection — a section of the grid in the eastern U.S. that is so congested the grid operator has frozen new applications to connect to it — these grid enhancing technologies could open up more than 6 gigawatts of new capacity to wind, solar, and storage projects in just three years. For reference, in 2022, nearly 300 gigawatts-worth of energy projects were waiting for permission to connect in PJM at the end 2022.
The cost savings are not just theoretical. In 2018, the PJM grid operator determined that a wind farm expansion in Illinois was going to require $100 million of grid upgrades — including building new lines and reconductoring existing ones — over a timeline of about three years before it would be able to connect. The developer countered that the needed upgrades could be achieved through power flow controls, which could be installed for a cost of just $12 million in less than half the time. PJM approved the idea, and the project is currently underway.
Congress is still debating how to reform permitting processes. But while that’s still a necessary step, it’s becoming increasingly clear that there’s a host of other outside-the-box solutions that can be deployed more quickly, in the near term. The IRA may have convinced the environmental movement that building new stuff was worth it, but there are still a lot of cases where the smarter choice is to renovate.
Editor’s note: This story has been updated to correct the cost of adding power flow controls to the PJM interconnection.
This Halloween, get 20% off using code ADVANCED
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
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.”