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Just turn them off sometimes, according to new research from Duke University.
Grid planners have entered a new reality. After years of stagnant growth, utilities are forecasting accelerating electricity demand from artificial intelligence and other energy-intense industries and using it to justify building out more natural gas power plants and keep old coal plants online. The new administration has declared that the United States is in an “energy emergency,” bemoaning that the country’s generating capacity is “far too inadequate to meet our Nation’s needs.” Or, as President Trump put it at the Republican National Convention, “AI needs tremendous — literally, twice the electricity that’s available now in our country, can you imagine?”
The same logic also works the other way — the projected needs of data centers and manufacturing landed some power producers among the best performing stocks of 2024. And when it looked like artificial intelligence might not be as energy intensive as those producers assumed thanks to the efficiency of DeepSeek’s open source models, shares in companies that own power plants and build gas turbines crashed.
Both industry and policymakers seem convinced that the addition of new, large sources of power demand must be met with more generation and expensive investments to upgrade the grid.
But what if it doesn’t?
That’s the question Tyler Norris, Tim Profeta, Dalia Patino-Echeverri, and Adam Cowie-Haskell of the Nicholas Institute of Energy, Environment and Stability at Duke University tried to answer in a paper released Tuesday.
Their core finding: that the United States could add 76 gigawatts of new load — about a tenth of the peak electricity demand across the whole country — without having to upgrade the electrical system or add new generation. There’s just one catch: Those new loads must be “curtailed” (i.e. not powered) for up to one-quarter-of-one-percent of their maximum time online. That’s it — that’s the whole catch.
“We were very surprised,” Norris told me, referring to the amount of power freed up by data centers if they could curtail their usage at high usage times.
“It goes against the grain of the current paradigm,” he said, “that we have no headroom, and that we have to make massive expansion of the system to accommodate new load and generation.”
The electricity grid is built to accommodate the peak demand of the system, which often occurs during the hottest days of summer or the coldest days of winter. That means much grid infrastructure is built out solely to accommodate power demand that occurs over just a few days of the year, and even then for only part of those days. Thus it follows that if those peaks can be shaved by demand being reduced, then the existing grid can accommodate much more new demand.
This is the logic of longstanding “demand response” programs, whether they involve retail consumers agreeing not to adjust their thermostats outside a certain range or factories shuttering for prescribed time periods in exchange for payments from the grid authority. In very flexible markets, such as Texas’ ERCOT, some data center customers (namely cryptominers) get a substantial portion of their overall revenue by agreeing to curtail their use of electricity during times of grid stress.
While Norris cautioned that readers of the report shouldn’t think this means we won’t need any new grid capacity, he argued that the analysis “can enable more focus of limited resources on the most valuable upgrades to the system.”
Instead of focusing on expensive upgrades needed to accommodate the new demand on the grid, the Duke researchers asked what new sources of demand could do for the grid as a whole. Ask not what the grid can do for you, ask what you can do for the grid.
“By strategically timing or curtailing demand, these flexible loads can minimize their impact on peak periods,” they write. “In doing so, they help existing customers by improving the overall utilization rate — thereby lowering the per-unit cost of electricity — and reduce the likelihood that expensive new peaking plants or network expansions may be needed.” urtailment of large loads, they argue, can make the grid more efficient by utilizing existing equipment more fully and avoiding expensive upgrades that all users might have to pay for.
They found that when new large loads are curtailed for up to 0.25% of their maximum uptime, the average time offline amounts to just over an hour-and-a-half at a go, with 85 hours of load curtailment per year on average.
“You’re able to add incremental load to accept flexibility in most stressed periods,” Norris said. “Most hours of the year we’re not that close to the maximum peaks.”
In the nation’s largest electricity trading market, PJM Interconnection, this quarter-percent of total uptime curtailment would enable the grid to bring online over 13 gigawatts of new data centers — about the capacity of 13 new, large nuclear reactors — while maintaining PJM’s planners’ desired amount of generation capacity. In other words, that’s up to 13 gigawatts of reactors PJM no longer has to build, as long as that new load can be curtailed for 0.25% of its maximum uptime.
But why would data center developers agree to go offline when demand for electricity rises?
It’s not just because it could help the developers maintain their imperiled sustainability goals. It also presents an opportunity to solve the hardest problem for building out new data centers. One of the key limiting factors to getting data centers online is so-called “time to power,” i.e. how long it takes for the grid to be upgraded, either with new transmission equipment or generation, so that a data center can get up and running. According to estimates from the consulting firm McKinsey, a data center project can be developed in as little as a year and a half — but only if there’s already power available. Otherwise the timeline can run several years.
“There’s a clear value add,” Norris said. There are “very few locations to interconnect multi-hundred megawatt or gigawatt load in near-term fashion. If they accept flexibility for provision interim period, that allows them to get online more quickly.”
This “time to power” problem has motivated a flowering of unconventional ideas to power data centers, whether it’s large-scale deployment of on-site solar power (with some gas turbines) in the Southwest, renewables adjacent to data centers,co-located natural gas, or buying whole existing nuclear power plants.
But there may be a far simpler answer.
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The foreign entities of concern rules in the One Big Beautiful Bill would place gigantic new burdens on developers.
Trump campaigned on cutting red tape for energy development. At the start of his second term, he signed an executive order titled, “Unleashing Prosperity Through Deregulation,” promising to kill 10 regulations for each new one he enacted.
The order deems federal regulations an “ever-expanding morass” that “imposes massive costs on the lives of millions of Americans, creates a substantial restraint on our economic growth and ability to build and innovate, and hampers our global competitiveness.” It goes on to say that these regulations “are often difficult for the average person or business to understand,” that they are so complicated that they ultimately increase the cost of compliance, as well as the risks of non-compliance.
Reading this now, the passage echoes the comments I’ve heard from industry groups and tax law experts describing the incredibly complex foreign entities of concern rules that Congress — with the full-throated backing of the Trump administration — is about to impose on clean energy projects and manufacturers. Under the One Big Beautiful Bill Act, wind and solar, as well as utility-scale energy storage, geothermal, nuclear, and all kinds of manufacturing projects will have to abide by restrictions on their Chinese material inputs and contractual or financial ties with Chinese entities in order to qualify for tax credits.
“Foreign entity of concern” is a U.S. government term referring to entities that are “owned by, controlled by, or subject to the jurisdiction or direction of” any of four countries — Russia, Iran, North Korea, and most importantly for clean energy technology, China.
Trump’s tax bill requires companies to meet increasingly strict limits on the amount of material from China they use in their projects and products. A battery factory starting production next year, for example, would have to ensure that 60% of the value of the materials that make up its products have no connection to China. By 2030, the threshold would rise to 85%. The bill lays out similar benchmarks and timelines for clean electricity projects, as well as other kinds of manufacturing.
But how companies should calculate these percentages is not self-evident. The bill also forbids companies from collecting the tax credits if they have business relationships with “specified foreign entities” or “foreign-influenced entities,” terms with complicated definitions that will likely require guidance from the Treasury for companies to be sure they pass the test.
Regulatory uncertainty could stifle development until further guidance is released, but how long that takes will depend on if and when the Trump administration prioritizes getting it done. The One Big Beautiful Bill Act contains a lot of other new tax-related provisions that were central to the Trump campaign, including a tax exemption for tips, which are likely much higher on the department’s to-do list.
Tax credit implementation was a top priority for the Biden administration, and even with much higher staffing levels than the department currently has, it took the Treasury 18 months to publish initial guidance on foreign entities of concern rules for the Inflation Reduction Act’s electric vehicle tax credit. “These things are so unbelievably complicated,” Rachel McCleery, a former senior advisor at the Treasury under Biden, told me.
McCleery questioned whether larger, publicly-owned companies would be able to proceed with major investments in things like battery manufacturing plants until that guidance is out. She gave the example of a company planning to pump out 100,000 batteries per year and claim the per-kilowatt-hour advanced manufacturing tax credit. “That’s going to look like a pretty big number in claims, so you have to be able to confidently and assuredly tell your shareholder, Yep, we’re good, we qualify, and that requires a certification” by a tax counsel, she said. To McCleery, there’s an open question as to whether any tax counsel “would even provide a tax opinion for publicly-traded companies to claim credits of this size without guidance.”
John Cornwell, the director of policy at the Good Energy Institute, which conducts research and advocacy for nuclear power, echoed McCleery’s concerns. “Without very clear guidelines from the Treasury and IRS, until those guidelines are in place, that is going to restrict financing and investment,” Cornwell told me.
Understanding what the law requires will be the first challenge. But following it will involve tracking down supply chain data that may not exist, finding alternative suppliers that may not be able to fill the demand, and establishing extensive documentation of the origins of components sourced through webs of suppliers, sub-suppliers, and materials processors.
The Good Energy Institute put out an issue brief this week describing the myriad hurdles nuclear developers will face in trying to adhere to the tax credit rules. Nuclear plants contain thousands of components, and documenting the origin of everything from “steam generators to smaller items like specialized fasteners, gaskets, and electronic components will introduce substantial and costly administrative burdens,” it says. Additionally the critical minerals used in nuclear projects “often pass through multiple processing stages across different countries before final assembly,” and there are no established industry standards for supply chain documentation.
Beyond the documentation headache, even just finding the materials could be an issue. China dominates the market for specialized nuclear-grade materials manufacturing and precision component fabrication, the report says, and alternative suppliers are likely to charge premiums. Establishing new supply chains will take years, but Trump’s bill will begin enforcing the sourcing rules in 2026. The rules will prove even more difficult for companies trying to build first-of-a-kind advanced nuclear projects, as those rely on more highly specialized supply chains dominated by China.
These challenges may be surmountable, but that will depend, again, on what the Treasury decides, and when. The Department’s guidance could limit the types of components companies have to account for and simplify the documentation process, or it could not. But while companies wait for certainty, they may also be racking up interest. “The longer there are delays, that can have a substantial risk of project success,” Cornwell said.
And companies don’t have forever. Each of the credits comes with a phase-out schedule. Wind manufacturers can only claim the credits until 2028. Other manufacturers have until 2030. Credits for clean power projects will start to phase down in 2034. “Given the fact that a lot of these credits start lapsing in the next few years, there’s a very good chance that, because guidance has not yet come out, you’re actually looking at a much smaller time frame than than what is listed in the bill,” Skip Estes, the government affairs director for Securing America’s Energy Future, or SAFE, told me.
Another issue SAFE has raised is that the way these rules are set up, the foreign sourcing requirements will get more expensive and difficult to comply with as the value of the tax credits goes down. “Our concern is that that’s going to encourage companies to forego the credit altogether and just continue buying from the lowest common denominator, which is typically a Chinese state-owned or -influenced monopoly,” Estes said.
McCleery had another prediction — the regulations will be so burdensome that companies will simply set up shop elsewhere. “I think every industry will certainly be rethinking their future U.S. investments, right? They’ll go overseas, they’ll go to Canada, which dumped a ton of carrots and sticks into industry after we passed the IRA,” she said.
“The irony is that Republicans have historically been the party of deregulation, creating business friendly environments. This is completely opposite, right?”
On the budget debate, MethaneSAT’s untimely demise, and Nvidia
Current conditions: The northwestern U.S. faces “above average significant wildfire potential” for July • A month’s worth of rain fell over just 12 hours in China’s Hubei province, forcing evacuations • The top floor of the Eiffel Tower is closed today due to extreme heat.
The Senate finally passed its version of Trump’s One Big Beautiful Bill Act Tuesday morning, sending the tax package back to the House in hopes of delivering it to Trump by the July 4 holiday. The excise tax on renewables that had been stuffed into the bill over the weekend was removed after Senator Lisa Murkowski of Alaska struck a deal with the Senate leadership designed to secure her vote. In her piece examining exactly what’s in the bill, Heatmap’s Emily Pontecorvo explains that even without the excise tax, the bill would “gum up the works for clean energy projects across the spectrum due to new phase-out schedules for tax credits and fast-approaching deadlines to meet complex foreign sourcing rules.” Debate on the legislation begins on the House floor today. House Speaker Mike Johnson has said he doesn’t like the legislation, and a handful of other Republicans have already signaled they won’t vote for it.
The Environmental Protection Agency this week sent the White House a proposal that is expected to severely weaken the federal government’s ability to rein in planet-warming pollution. Details of the proposal, titled “Greenhouse Gas Endangerment Finding and Motor Vehicle Reconsideration,” aren’t clear yet, but EPA Administrator Lee Zeldin has reportedly been urging the Trump administration to repeal the 2009 “endangerment finding,” which explicitly identified greenhouse gases as a public health threat and gave the EPA the authority to regulate them. Striking down that finding would “free EPA from the legal obligation to regulate climate pollution from most sources, including power plants, cars and trucks, and virtually any other source,” wrote Alex Guillén at Politico. The title of the proposal suggests it aims to roll back EPA tailpipe emissions standards, as well.
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So long, MethaneSAT, we hardly knew ye. The Environmental Defense Fund said Tuesday that it had lost contact with its $88 million methane-detecting satellite, and that the spacecraft was “likely not recoverable.” The team is still trying to figure out exactly what happened. MethaneSAT launched into orbit last March and was collecting data about methane pollution from global fossil fuel infrastructure. “Thanks to MethaneSAT, we have gained critical insight about the distribution and volume of methane being released from oil and gas production areas,” EDF said. “We have also developed an unprecedented capability to interpret the measurements from space and translate them into volumes of methane released. This capacity will be valuable to other missions.“ The good news is that MethaneSAT was far from the only methane-tracking satellite in orbit.
Nvidia is backing a D.C.-based startup called Emerald AI that “enables AI data centers to flexibly adjust their power consumption from the electricity grid on demand.” Its goal is to make the grid more reliable while still meeting the growing energy demands of AI computing. The startup emerged from stealth this week with a $24.5 million seed round led by Radical Ventures and including funding from Nvidia. Emerald AI’s platform “acts as a smart mediator between the grid and a data center,” Nvidia explains. A field test of the software during a grid stress event in Phoenix, Arizona, demonstrated a 25% reduction in the energy consumption of AI workloads over three hours. “Renewable energy, which is intermittent and variable, is easier to add to a grid if that grid has lots of shock absorbers that can shift with changes in power supply,” said Ayse Coskun, Emerald AI’s chief scientist and a professor at Boston University. “Data centers can become some of those shock absorbers.”
In case you missed it: California Governor Gavin Newsom on Monday rolled back the state’s landmark Environmental Quality Act. The law, which had been in place since 1970, required environmental reviews for construction projects and had become a target for those looking to alleviate the state’s housing crisis. The change “means most urban developers will no longer have to study, predict, and mitigate the ways that new housing might affect local traffic, air pollution, flora and fauna, noise levels, groundwater quality, and objects of historic or archeological significance,” explainedCal Matters. On the other hand, it could also mean that much-needed housing projects get approved more quickly.
Tesla is expected to report its Q2 deliveries today, and analysts are projecting a year-over-year drop somewhere from 11% to 13%.
Jesse teaches Rob the basics of energy, power, and what it all has to do with the grid.
What is the difference between energy and power? How does the power grid work? And what’s the difference between a megawatt and a megawatt-hour?
On this week’s episode, we answer those questions and many, many more. This is the start of a new series: Shift Key Summer School. It’s a series of introductory “lecture conversations” meant to cover the basics of energy and the power grid for listeners of every experience level and background. In less than an hour, we try to get you up to speed on how to think about energy, power, horsepower, volts, amps, and what uses (approximately) 1 watt-hour, 1 kilowatt-hour, 1 megawatt-hour, and 1 gigawatt-hour.
Shift Key is hosted by Jesse Jenkins, a professor of energy systems engineering at Princeton University, and Robinson Meyer, Heatmap’s executive editor.
Subscribe to “Shift Key” and find this episode on Apple Podcasts, Spotify, Amazon, YouTube, or wherever you get your podcasts.
You can also add the show’s RSS feed to your podcast app to follow us directly.
Here is an excerpt from our conversation:
Jesse Jenkins: Let’s start with the joule. The joule is the SI unit for both work and energy. And the basic definition of energy is the ability to do work — not work in a job, but like work in the physics sense, meaning we are moving or displacing an object around. So a joule is defined as 1 newton-meter, among other things. It has an electrical equivalent, too. A newton is a unit of force, and force is accelerating a mass, from basic physics, over some distance in this case. So 1 meter of distance.
So we can break that down further, right? And we can describe the newton as 1 kilogram accelerated at 1 meter per second, squared. And then the work part is over a distance of one meter. So that kind of gives us a sense of something you feel. A kilogram, right, that’s 2.2 pounds. I don’t know, it’s like … I’m trying to think of something in my life that weighs a kilogram. Rob, can you think of something? A couple pounds of food, I guess. A liter of water weighs a kilogram by definition, as well. So if you’ve got like a liter bottle of soda, there’s your kilogram.
Then I want to move it over a meter. So I have a distance I’m displacing it. And then the question is, how fast do I want to do that? How quickly do I want to accelerate that movement? And that’s the acceleration part. And so from there, you kind of get a physical sense of this. If something requires more energy, if I’m moving more mass around, or if I’m moving that mass over a longer distance — 1 meter versus 100 meters versus a kilometer, right? — or if I want to accelerate that mass faster over that distance, so zero to 60 in three seconds versus zero to 60 in 10 seconds in your car, that’s going to take more energy.
Robinson Meyer: I am looking up what weighs … Oh, here we go: A 13-inch MacBook Air weighs about, a little more than a kilogram.
Jenkins: So your laptop. If you want to throw your laptop over a meter, accelerating at a pace of 1 meter per second, squared …
Meyer: That’s about a joule.
Jenkins: … that’s about a joule.
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Music for Shift Key is by Adam Kromelow.