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Long-duration storage is still an awkward fit in most U.S. electricity markets.

It’s hard to imagine a decarbonized grid without batteries that can last longer — far longer — than the four hours today’s grid-scale, lithium-ion batteries can pump power onto the grid. But who’s going to pay for it?
That’s the question developers and researchers are puzzling over as the U.S. electricity grid struggles to replace aging generation and transmission infrastructure. At the same time, forecast demand for electricity is surging thanks to electrification of transportation and home heating, factory construction, and, of course, data centers. With solar (still) coming online, there’s a need to spread out the plentiful power generated in the middle of the day — or even year — across other hours and seasons.
In much of the country, electricity markets are set up to optimize the delivery of energy on very short time frames at the lowest cost, and to ensure ancillary services that can keep the grid stable from second to second. Then there are capacity markets, where electricity generators receive payments in exchange for their future availability in order to maintain long-term reliability.
Molly Robertson, an associate fellow studying electricity market design at Resources for the Future, a nonprofit research institution, is skeptical about how long-duration energy storage can fit into this market. “If we think about the market as compensating for those three things, there’s two questions,” she told me. “One is, is the market covering all of the things that the grid needs? And are there enough products that are being purchased that actually cover all of the needs of the grid?”
Long-duration batteries fit awkwardly into that equation. “Right now, I think you don’t see long duration storage because there are resources that are more cost competitive” for what existing wholesale markets reward, Robertson told me.
But the grid today may not be the grid of tomorrow — or at least that’s the argument of the long-duration energy storage industry.
“This energy transition was always going to be necessary around this time frame, regardless of the decarbonization agenda or anything like that,” Jon Norman, the president of Hydrostor, a Canadian company developing large-scale, compressed air batteries, told me. “Most of the infrastructure was built in the 80s and 90s and it’s hitting its natural end-of-life cycle. So these traditional coal-fired power plants, gas-fired power plants would either need to be rebuilt or new infrastructure built.”
“There’s no way of avoiding that,” he added.
Norman, of course, thinks that long-duration storage is a “good replacement for a lot of those assets.” Large-scale batteries like Hydrostor’s can store surplus electricity from when renewables are producing more than the grid needs, and then discharge that energy when needed — and for far longer than today’s batteries.
Lithium-ion is the dominant chemistry for battery energy storage systems today, thanks to its high energy density and ability to withstand many charging and discharging cycles, the same factors that have made it the default choice for electric cars. Because of both lithium-ion’s physical limits and the specific needs of the grid, however, the vast majority of grid-scale systems top out at four hours of discharge.
From a grid planning perspective, the difference between those batteries and long-duration storage, which can discharge for 10 or more hours at a time, means that the latter “can reliably replace” existing fossil fuel generation, Norman said. That makes Hydrostor’s batteries less like an “energy” product and more like capacity — a role typically filled by coal and natural gas, which get paid handsomely for doing so.
Restructured electricity markets work fine at wholesale electricity pricing for infrastructure that already exists, Norman argued. In the late 1990s and early 2000s, when electricity markets were deregulated, “you didn’t need a lot of buildout,” he said. Instead, the question was, “How can we most efficiently dispatch this stuff? How do we send the right signals to the generators?”
But sudden demand growth and the ravages of time have brought a new set of challenges. “The issue that we’ve seen over the past 10 years — and it’s coming to a head now — is, how do you build new capacity? Nobody’s really investing in these markets because there’s a real disconnect between those power market signals that are in real time and short term and the long-run cost of building infrastructure,” Norman told me.
Relying on market forces to come up with new capacity has not worked, he said. “This experiment has failed.”
Management of the PJM Interconnection, the country’s largest electricity market, has practically had to beg developers to bring more firm power onto the grid. It’s also overhauling its internal processes to get projects approved for interconnection more quickly.
In the meantime, as capacity payments and reliability worries continue to spiral, the market’s managers have introduced a pair of proposals that would subject new large sources of electricity demand (i.e. data centers) to mandatory shutoffs and allow utilities to get back into building generation. The former would essentially undo the foundational “duty to serve” model that’s been at the heart of electricity policy for over a century, and the other would reverse decades of electricity market deregulation and restructuring.
Suppliers and customers alike revolted against the idea of mandatory curtailment, and both proposals are now on hold. Whether or not either is ever realized, the fact that they’re even being discussed shows how dire the capacity crisis is.
Even in Texas, the most deregulated market in the country, a plan to offer cheap financing to natural gas-fired power plants to shore up the reliability following the 2021 Winter Storm Elliott disaster has found few takers and few viable projects. You have to get outside restructured electricity markets in states like Tennessee or Georgia, where utilities also control the generation of electricity, to find any appetite for large-scale generation projects like nuclear power plants. These markets are able — for better or worse — to pass along the cost of new power plants to ratepayers. It’s no coincidence that all the new nuclear power — a large source of firm power on the grid that takes a notoriously long time to develop — built this century has come in vertically integrated markets.
Everywhere else, building long-lasting infrastructure assets requires planning to lead the market, Norman told me. “Run really sophisticated competitive procurements — competitive mechanisms that allow you to hit a particular objective instead of the objective supposedly being decided by the market in real time,” he explained.
He pointed to California, where regulators tell utilities to procure clean firm generation like geothermal and long-term energy storage (or the state does it itself). Virginia, which is a vertically integrated market within PJM, has targets for energy storage procurement by its utilities.
Norman’s critique of restructured power markets rhymes with those of former Federal Energy Regulatory Commission Chairman Mark Christie, who said that there’s “missing money” in the electricity markets that exposes consumers to financial and reliability risks. He also asked whether restructured electricity markets, “especially the multi-state capacity markets, have been successful in ensuring a sufficient supply of the power necessary to sustain reliability,” as he wrote in widely noted in a 2023 law review paper.
For her part, Robertson cautioned that there are real technological and logistical questions for how long-duration storage would work in an electricity market, even if you can figure out a way to get them on the grid.
“When we think about longer-duration storage, we have to think about, how would those generators operate, and what timelines are they operating on? If you have a multi-day storage opportunity, how are you going to determine the best time to charge and discharge over that long of an opportunity window?” she asked.
In a RFF paper, Robertson and her co-authors argue that long-duration batteries “likely will not be sufficiently incentivized by price fluctuations within a 24-hour period,” as four-hour batteries are, and will instead have to “take greater advantage of long-term revenue opportunities like capacity markets.” But even then, she cautioned, markets would need to see big swings in prices over potentially multi-day periods to make the charging and discharging cycles of long-duration batteries economical.
Norman, however, had harsh words for critics who say this kind of procurement and planning will lead to inflated costs for infrastructure that may or may not be useful in the future. “What bugs me about keeping our head in the sand is that then results in us saying, Well, we just don’t want to pay for that, so we’re not going to set this target, and we’re going to let the markets decide,” he told me. “All we’re doing is deferring the problem and causing it to cost way more. And so I think we need a bit of a wakeup call.”
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A conversation with the Guardrails Alliance’s Shaunna Thomas.
This week’s Q&A is with Shaunna Thomas of the Democrat-allied super PAC Guardrails Alliance, which describes itself as “not anti-technology” but supportive of AI “rules, accountability, and a government that actually represents the public.” Part of that AI accountability they’re calling for is on data centers.
After the midterms, Guardrails Alliance sent a memorandum to all House and Senate Democratic offices arguing for AI and data center accountability to be a key part of their message and plans heading into the new Congress. Described as a “playbook for how to understand and channel anxieties about AI and data centers,” the document laid out “key narratives” that they said voters who care about these issues want to see reflected and echoed by their politics. They said the push against data centers could help Democrats build more lasting political power.
I reached out and asked if Thomas could explain further what all of this means to my readers. She kindly obliged.
The following conversation was lightly edited for clarity.
Let’s start with the elections. What were your takeaways when it came to what voters want to see on data centers?
I think the elections were a rebuke of the status quo on a number of fronts. We saw across the board that people are frustrated with what amounts to legalized corruption and the forcing without consent of new technology, and new infrastructure to support a technology that they didn’t ask for in ways that are harmful to their lives and the country.
What we saw in polling is that the data center backlash is one of the most bipartisan political issues of our time, driven by everything from noise pollution to rate hikes to Big Tech trying to steamroll state and local governments. Americans are sick and tired of the AI industry trying to control our lives by building data centers in our communities, which goes along with trying to control our data and who represents us in government. The AI industry was also trying to spend a lot on elections trying to control the outcome.
When we dig deeper on all that, it’s not just about elections. They’re seeing this unholy alliance between Big Tech and the Trump administration.
In the post-election analysis laid out in that memo, you explain these key narratives that you think Democrats should pick up against the tech sector. Can you explain how you developed these?
What we dug into during the primaries and the lead-up to the general election was questions in focus groups and polling with Republicans and Democrats about what was behind the frustration. Is this just about buildings they don’t want in their backyard or is this connected to AI and bigger picture concerns over who makes choices? About control? The data centers people were most opposed to were data centers specifically for AI, which was a really important indicator it was both/and.
We then started to talk to voters in Ohio and Iowa and Michigan about what they’d want to see in terms of changes, in terms of new leadership, how they would want to see this framed. What was appealing? We tested a number of frames and these key narratives are a compilation of that data. So for example, a key narrative says, The AI oligarchs and their political allies are wildly out of step with a supermajority of the public. There’s also sample messaging under it in the memo. And it’s a reflection of the sentiment and the tone and the language a lot of people used when they got into robust conversations about what they’re really concerned about or what they want to see their leaders doing differently.
Can you say more about these focus groups? And can you say more about what you saw in terms of bipartisan shared concern around not just data centers but these messages you’re bringing up?
I can tell you about some of the key findings of the focus groups we did in Michigan and Ohio and Iowa in August and September. People are generally open to the idea AI can have some benefit to their lives, and they’re open to using it personally. But everyone we talked to expressed some concern about the pace it was being developed. You can see technology having value but also see there’s no regulation in place or guardrails around the technology itself.
Most people we spoke to expressed concerns about how the technology has been affecting society and the environment — that came up a lot in data center conversations. People are also concerned about the role chatbots could have in their children’s lives, and that AI could replace teachers.
It’s also a lot of concern about and a lack of confidence in either government regulators or AI companies to properly regulate the technology. You saw more support for regulators at the state level and people deeply opposed to federal pre-emption, because they see more evidence of democracy working at the state level as opposed to the federal level.
People express mixed reviews about the specific policy solutions. What we’re seeing is people see AI as a vehicle for a small handful to amass more wealth and power. I don’t think we have had enough of a robust debate about how you deal with that problem.
So, on that point in particular, I want to drill down. What do we know about what voters want to see? What does accountability or guardrails look like to them?
First of all, there’s blanket support for federal regulations in general to deal with the way the technology is developed and deployed. We see a lot of clarity from voters about the fact they may not have a lot of confidence the federal government will step in. They want to see it.
When it comes to the economy, where there’s still broad public support is taxing billionaires and CEOs of these companies and raising the minimum wage and raising the social safety net. People’s interest in seeing that move forward has been growing in intensity.
On AI specifically, people don’t want to have a conversation about distribution of wealth without a conversation about distribution of power. They don’t want to be bribed to accept the acceleration of AI in their lives. They want to know that the power of those companies to do what they’re doing is going to be significantly limited and safety guardrails are put in place to keep us all safe from what the new technology is capable of.
I think once the safety conversation is step one. Step two is the conversation about how you distribute wealth from a technology built on other people’s labor and intellectual property.
On the concern about bribes, we’ve been reporting on Trump’s call for cash payments to communities to accept data centers. Are you telling me proposals like that might not be a good political strategy?
It was precisely because Trump was talking about it that we heard it brought up in focus groups, and how it was described was that voters may get some short term incentive to accept a technology they don’t trust is designed to help them fundamentally. They believe it is being deployed to more deeply consolidate power and wealth. And they don’t want that. When the president or a big AI company says they agree with it, it’ll have an impact on how the idea is perceived.
It has to also be coupled with a set of policies that are putting democratic governance over the technology itself before its deployment. People want to see technology isn’t going to continue to advance without guardrails.
Distinct from Trump’s data center dividend, some policymakers have suggested a “data dividend” — a distribution of wealth from the usage of AI products because they’re using people’s data. That’s more of what we’re talking about.
What do we know about what the public wants to see regarding data centers?
It’s important we recognize local leaders have had demands driven by their local communities. But as a structural matter, the public sees slowing down data centers as a mechanism for slowing down the project of AI generally. It remains an open question about how you do that.
There are federal policymakers working on a set of solutions that could create more space for people at the local level to be in the driver’s seat on when, how, or if data centers get built. I think we’ll see more proposals on that front.
So where do you think this conversation goes next?
I would expect the public to continue to make demands from policymakers and I would expect the Big Tech sector to continue down the path they’re going, which is, we were always Democrats and pro-regulation all the time. This will look like policies resembling always being okay with regulation but actually avoid putting checks on their power. And that’ll mean the public has even more at stake and the government has an even bigger obligation to make sure AI is deployed for public benefit as opposed to for the profits of a few companies and CEOs.
Plus more of the week’s biggest development fights.
1. New York City — We have a new must-watch offshore wind lawsuit with potential implications for the entire sector — and this time, it’s from lobstermen seeking damages.
2. Hinds County, Mississippi — The largest proposed solar farm in Mississippi is moving forward after an appeals court rejected arguments from aggrieved local residents that it had been improperly approved.
3. Dakota County, Minnesota — I’m scrutinizing a lawsuit against a data center developer centering on allegedly improper permitting of its cooling technology.
4. Polk County, Florida — Will the Sunshine State remain a challenging place for data centers after Ron DeSantis? A test case could reveal the future quite quickly.
Trump’s “data center dividend” appears to have backfired. Our latest poll results help explain why.
This year’s midterm elections called into question the efficacy of a push to pay local residents directly in exchange for building data centers.
Before the elections, I profiled the campaign for politicians to embrace the data center “dividend,” a policy idea modeled off Alaska’s Permanent Fund, which doles out checks to residents from profits off state oil, gas and mineral royalties. The Bitcoin Policy Institute, a tech policy think tank, was one of the first to trumpet the concept, but it was quickly taken up by President Donald Trump, who started raising it in speeches and on social media. “If companies want to make their Data Centers popular, pay the community, and/or individuals within the community, a ‘dividend,’” Trump posted to Truth Social on October 21.
Clearly the idea didn’t stop the bleeding. Democrats trounced Trump’s party in the midterms on a message that was heavy on attacks against data centers. But that still doesn’t explain why direct payments did so little to move the American public.
A Heatmap Pro poll conducted in early-to-mid October, right before the midterm elections, gives us an answer. As part of a broader survey of 2,500 registered voters, we asked about the idea — what we believe to be the first independent poll on direct payments for data centers by a news organization. We asked respondents whether there was a specific dollar amount they’d accept as a one-time cash payment in exchange for a data center being built near them. We also gave them the option to say no amount of money was sufficient.
Shockingly, a majority of people surveyed said they’d reject the data center cash payment in any amount. Among those who said they’d actually take the money, the median figure was around $10,000. The average was a whopping $146,000, skewed by the number of people who wrote $999,999, the maximum allowed by the survey.
This tracks what we’re seeing play out in communities where developers have tried this idea. In Hazle Township, Pennsylvania, NorthPoint — developer of an Amazon-linked data center project — proposed $10,000 cash payments to residents, no catch. Residents compared it to a bribe. In De Soto, Kansas, data center developer Digital Realty is offering annual $1,000 tax credits for a decade to neighbors of its proposed data center project. That proposal has been reportedly met with mixed reviews, too.
Clearly one of the problems here is that data centers not only face public perception issues around their local impacts, but are also more broadly associated with systemic inequality in the U.S. economy. The same Heatmap Pro survey found that a majority of voters believed AI companies have more control over the government than the oil and gas industry, pharmaceutical companies, banks, or other large industries.
Shaunna Thomas, executive director of Democratic-allied super PAC Guardrails Alliance, told me that during the campaign season they found that residents often associated the dividends with bribes, and that the president’s support for direct payments ultimately fed into voter sentiments about the tech sector controlling the government and society.
“People don’t want to have a conversation about distribution of wealth disconnected from a conversation about distribution of power,” Thomas said. “Specifically because Trump was saying that, we started hearing from voters in focus groups that it didn’t work for them. They’re hearing it as a bribe. They’re hearing they may get some sort of short-term economic or financial incentive to accept a technology they don’t trust is designed to help them.”
The Heatmap Pro survey results about cash payments ultimately reveal how emotionally driven the data center debate has become, said Sam Lyman of the Bitcoin Policy Institute. I asked Lyman to respond to the results because I thought they called into question the political effectiveness of the proposal we’d discussed months earlier. Lyman stipulated that he thinks the one-time payment nature of the question may have undermined the results, saying he prefers the dividends be paid out “in perpetuity.” But he acknowledged they also show “there’s still a lot of education to be done on data centers, what they do, and the impacts they have on the places where they’re built.”
“I think there’s a lot of Americans out there who have legitimate concerns that the future economy doesn’t include them. That’s something that needs to be addressed,” said Lyman, who said he laid part of the blame on what he called “irresponsible rhetoric” from AI industry executives about their technology’s impacts on society. “With data center dividends, the idea behind this policy is to help Americans understand the AI economy includes them. To give them a very material stake in that economy as it gets built out, especially in the rural communities that make data centers possible in the first place.”