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The former Department of Energy chief commercialization officer talks about the public sector’s role in catalyzing new clean energy.

Vanessa Chan didn’t think she had the right temperament to work in government. After a 13-year stint as a partner at McKinsey, six years as a partner at the angel investment firm Robin Hood Ventures, and four years at the University of Pennsylvania, most recently as professor of practice in innovation and entrepreneurship, Chan considered herself to be an impatient, get-it-done type — anathema to the traditionally slow, procedurally complex work of governing.
But the Energy Act of 2020 had just formalized a new role within the Department of Energy ideally suited to her skills: Chief Commercialization Officer, which would also serve as the director of the Office of Technology Transitions. Who would fill these dual roles was to be the decision of then-incoming Secretary of Energy Jennifer Granholm, who found a kindred spirit in Chan. Under her leadership, Chan told me, “I found someone who’s less patient than me.”
In her four years at the DOE, the OTT’s annual budget — which she referred to as “literally a rounding error to most people” — grew from $12.6 million to $56.6 million. She leveraged it to its fullest extent, establishing a precedent for the potential of this small but mighty office. Chan spearheaded the “Pathways to Commercial Liftoff” reports that provide investors with a path to market for the most important decarbonization technologies, and announced over $41 million in funding for 50 clean energy projects across all of the nations 17 national labs through the Technology Commercialization Fund.
She also changed the way the DOE, national labs, venture capitalists, and startups alike talk about getting ready for primetime with the Adoption Readiness Level framework, which put a much-needed focus on factors such as economic viability, regulatory hurdles, and supply chain constraints in the same way that the established Technology Readiness Levels, pioneered by NASA, focus on the question of whether a technology actually works.
Now Chan is back at the University of Pennsylvania in a new, extremely apt role: the Inaugural Vice-Dean of Innovation and Entrepreneurship. She’s weaving lessons learned from her time in the public and private sectors into academia, where her goal is to help incorporate real-world skills into the education of engineers and PhD scholars to prime them for maximum impact upon graduation.
“It’s such a disservice if you invent something and it never sees the light of day,” she told me. “So we need to make sure that isn’t happening and we increase our odds of things making it to the market.”
Over two separate interviews, one before President Trump’s inauguration and one after, I asked Chan how her work with the DOE has helped climate technologies move from the lab to the market, the challenges that remain, and what to keep an eye on in the new administration. Our conversation has been edited for length and clarity.
How did you get recruited for this job? Was government work even on your radar before?
No, this was never on my vision board. But the way in which this came about was in 2016, there was a workshop that was being led by DOE on a potential new foundation that was going to be focused on commercialization. And one of my former clients told the person running the workshop, if you’re talking about technology commercialization, you have to talk to Vanessa Chan. And when I was there, I just yapped off about all the issues that I see with commercialization and what the federal government should be doing about it. And I didn’t think anything of it.
And then fast forward to 2020, I get this cryptic email saying, “Hey, the Biden-Harris administration is interested in you.” I spent all the time during the interview [with the Biden-Harris team] going, “Here’s my thing about commercialization, but I don’t think you guys want me, because I’m someone who works really fast. I have no patience for bureaucracy. I like to disrupt. I don’t like the status quo.” And they’re like, that’s exactly what we want.
How did the DOE, and the OTT in particular, really undergo a shift in the Biden administration?
Historically, DOE has been very focused on research and development. And then when the [Bipartisan Infrastructure Law] and [Inflation Reduction Act] got passed, now there was half-a-trillion dollars going towards demonstration and deployment, and it became a lot more fun being the chief commercialization officer.
The mantra that we’ve had is that the clean energy transition — and quite frankly, commercialization — has to be private sector-led but government-enabled. Because in the end, it’s the private sector that’s actually commercializing. It’s not the government. DOD can buy stuff to bring things to market, but DOE, we’re an enabler. And unless the private sector has sustainable, viable economic models, nothing will ever be commercialized.
How does your work intersect with other DOE agencies that are focused on commercialization, like the Office of Clean Energy Demonstrations and the Loan Programs Office?
I worked very closely with all of them. In particular, one of the things that was really important to do was to get us on the same page of what it actually means to deploy technologies. So I quarterbacked an effort called the Pathways to Commercial Liftoff, which OCED, LPO, and any program office that was touching research, development, demonstration, and deployment was a part of.
If we use hydrogen hubs as an example, OCED was given $8 billion towards hydrogen. When we did the hydrogen liftoff report, what we found was a few things. One is that electrolyzer costs are super high, and so we have to be able to drive those downward to make the unit economics work. We have an issue where there is no midstream infrastructure. We also had a chicken-and-the egg, which is pretty classic: No one wants to buy hydrogen until the supply chain is stood up, [but] the supply chain doesn’t want to stand up until they know they actually have offtake agreements.
What we did with OCED was, we took $7 billion to invest in seven hydrogen hubs across the nation, and then we reserved $1 billion to create an offtake demand mechanism. And that’s the first time ever that the federal government has actually focused on a demand activation program.
Have these liftoff reports been well received on both sides of the aisle? Do you think they’ll continue to be referenced in the new administration?
We were very, very, very fact-driven. There’s no policy by design, because in the end it’s all about, what does it take for a technology to make sense, for it to be in the market? So it’s not Republican or Democratic, it’s just — what does the private sector have to do? I’m really hoping they’re not seen as partisan and really more a synthesis of what’s required for the private sector to actually scale technology.
What are some additional successes from your time at the DOE?
An example program is MAKE IT, which is Manufacturing of Advanced Key Energy Infrastructure Technologies, which was a program that we created with OCED in order to figure out ways in which we could try to help bolster manufacturing across the nation. We also have this program called EPIC, the Energy Program for Innovation Clusters, and we have funded over 80 incubators and accelerators across the nation, which are supporting startups.
We’ve created a voucher program for startups and smaller organizations — sometimes there’s very tactical things that they need help on, and they need a small dollar amount, like a couple-hundred-thousand-dollars to tackle that. We’re like, Oh, you need to do techno-economic analysis? We’re going to pair you with this organization here that can do it, and you don’t have to negotiate anything with them. We’re just going to send them the money, you’re given a voucher, and you just call them.
When I talk with venture capitalists, something that often comes up is the difficulty of getting startups through the so-called Valley of Death, the funding gap between a company’s initial rounds and its commercial scale-up. How do you think about the public sector’s role in helping companies through this stage?
First of all, this private sector-led, government-enabled idea around commercialization is really important. And the work we’ve done with Liftoff and how we’ve gotten money out the door has really worked, because for every dollar going out the door from DOE, we’ve seen $6 matching from the private sector. That in itself is showing that there’s a way for the public sector to nudge the private sector to act.
What I’ll tell you, though, is that I think there needs to be a wholesale reframe around how the private sector thinks about investments and the returns that they want on them. Right now, we are in the Squid Games, where everyone is first in line to be sixth or seventh, no one is first in line to be first, second, or third, because they know the person who is first, second, or third is going to lose money. So what we need to do is figure out, how do we have the ecosystem crowdsource the first 10 of a kind, so that we get to the tipping point where the unit economics are working? How do we get the private sector to promise to buy technologies when they’re not quite there? How do we in the public sector help on the back end?
What are other primary barriers to commercialization that you see?
Another big barrier is that the time clock for moving up the learning curve and moving down the cost curve is quite long in some of these hard-tech technologies. And so the challenge is, how do we convince CEOs to make investments in something which is not going to benefit them, but benefit a CEO two or three down the line? Humans just don’t work that way, right? They’re all about earnings per share and quarterly earning reports and so forth.
Now the challenge is, if we don’t do it, then countries like China are going to do it. This is what happened in solar: We invented the technology, but China was willing to take a loss in order to get up the learning curve and drive down the cost curve, and we need to figure out how to do the same.
Have you been in touch with anyone from the Trump administration? Do you know who your successor will be?
No idea. My team didn’t even know who I was until day one. But what I’ll tell you is that OTT has really strong bipartisan support because we’re commercializing technologies, which is creating jobs, and I think everyone understands the importance of this. Also for the [Foundation for Energy Security and Innovation] I was very deliberate with the other ex officio board members to make sure we had a bipartisan board. We have 13 board members that we appointed here at DOE, and I have representation from every single administration since George H.W. Bush, including two Trump appointees.
I really do hope that whoever sits in my seat will reach out, and I left a letter offering that, too. Hopefully they do give me a call because I really want to wish them every success in the work that they’re doing.
What’s it like to be back at the University of Pennsylvania, watching this new administration from a civilian perspective?
This was the best job ever, so I’m just sad in general to not be at the Department of Energy because I really enjoyed the work that we were doing there. A lot of the money from the BIL and IRA were used to catalyze many, many red states. I am hopeful that people in power recognize this and are going to do right by those counties. Because I think, in the end, what we’re trying to do is really help with American jobs and competitiveness.
Any thoughts on the executive order that’s frozen disbursement of funds from BIL and IRA?
I don’t know, because I always think it’s not right to be on the outside in, trying to figure out what different executive orders are trying to say or not say. We all have to wait to see how these get executed upon.
What do you think people should be keeping an eye on to gauge the impacts that these sweeping executive orders are having?
In my mind it’s really, is the private sector spooked? Are they going to continue to invest the money that’s needed for these manufacturing plants to continue and so forth? Because in the end, it’s the private sector that actually is driving American competitiveness — the federal government is a catalyst. And so I think what I’d be looking to is the private sector. Are they stopping the momentum that we helped to kickstart?
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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.”