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Twenty-five years ago, computers were on the verge of destroying America’s energy system.
Or, at least, that’s what lots of smart people seemed to think.
In a 1999 Forbes article, a pair of conservative lawyers, Peter Huber and Mark Mills, warned that personal computers and the internet were about to overwhelm the fragile U.S. grid.
Information technology already devoured 8% to 13% of total U.S. power demand, Huber and Mills claimed, and that share would only rise over time. “It’s now reasonable to project,” they wrote, “that half of the electric grid will be powering the digital-Internet economy within the next decade.” (Emphasis mine.)
Over the next 18 months, investment banks including JP Morgan and Credit Suisse repeated the Forbes estimate of internet-driven power demand, advising their customers to pile into utilities and other electricity-adjacent stocks. Although it was unrelated, California’s simultaneous blackout crisis deepened the sense of panic. For a moment, experts were convinced: Data centers and computers would drain the country’s energy resources.
They could not have been more wrong. In fact, Huber and Mills had drastically mismeasured the amount of electricity used by PCs and the internet. Computing ate up perhaps 3% of total U.S. electricity in 1999, not the roughly 10% they had claimed. And instead of staring down a period of explosive growth, the U.S. electric grid was in reality facing a long stagnation. Over the next two decades, America’s electricity demand did not grow rapidly — or even, really, at all. Instead, it flatlined for the first time since World War II. The 2000s and 2010s were the first decades without “load growth,” the utility industry’s jargon for rising power demand, since perhaps the discovery of electricity itself.
Now that lull is ending — and a new wave of tech-driven concerns has overtaken the electricity industry. According to its supporters and critics alike, generative artificial intelligence like ChatGPT is about to devour huge amounts of electricity, enough to threaten the grid itself. “We still don’t appreciate the energy needs of this technology,” Sam Altman, the CEO of OpenAI, has said, arguing that the world needs a clean energy breakthrough to meet AI’s voracious energy needs. (He is investing in nuclear fusion and fission companies to meet this demand.) The Washington Post captured the zeitgeist with a recent story: America, it said, “is running out of power.”
But … is it actually? There is no question that America’s electricity demand is rising once again and that load growth, long in abeyance, has finally returned to the grid: The boom in new factories and the ongoing adoption of electric vehicles will see to that. And you shouldn’t bet against the continued growth of data centers, which have increased in size and number since the 1990s. But there is surprisingly little evidence that AI, specifically, is driving surging electricity demand. And there are big risks — for utility customers and for the planet — by treating AI-driven electricity demand as an emergency.
There is, to be clear, no shortage of predictions that AI will cause electricity demand to rise. According to a recent Reuters report, nine of the country’s 10 largest utilities are now citing the “surge” in power demand from data centers when arguing to regulators that they should build more power. Morgan Stanley projects that power use from data centers “is expected to triple globally this year,” according to the same report. The International Energy Agency more modestly — but still shockingly — suggests that electricity use from data centers, AI, and cryptocurrency could double by 2026.
These concerns have also come from environmentalists. A recent report from the Climate Action Against Disinformation Commission, a left-wing alliance of groups including Friends of the Earth and Greenpeace, warned that AI will require “massive amounts of energy and water” and called for aggressive regulation.
That report focused on the risks of an AI-addled social media public sphere, which progressives fear will be filled with climate-change-denying propaganda by AI-powered bots. But in an interview, Michael Khoo, an author of the report and a researcher at Friends of the Earth, told me that studying AI made him much more frightened about its energy use.
AI is such an power-suck that it “is causing America to run out of energy,” Khoo said. “I think that’s going to be much more disruptive than the disinformation conversation in the mid-term.” He sketched a scenario where Altman and Mark Zuckerberg can outbid ordinary households for electrons as AI proliferates across the economy. “I can see people going without power,” he said, “and there being massive social unrest.”
These predictions aren’t happening in a vacuum. At the same time that investment bankers and environmentalists have fretted over a potential electricity shortage, utilities across the South have proposed a de facto solution: a massive buildout of new natural-gas power plants.
Citing the return of load growth, utilities across the South are trying to go around normal regulatory channels and build a slew of new natural-gas-burning power plants. Across at least six states, utilities have already won — or are trying to win — permission from local governments to fast-track more than 10,000 megawatts of new gas-fired power plants so that they can meet the surge in demand.
These requests have popped up across the region, pushed by vertically integrated monopoly power companies. Georgia Power won a tentative agreement to build 1,400 new megawatts of gas capacity, Canary reported. In the Carolinas, Duke Energy has asked to build 9,000 megawatts of new gas capacity, triple what it previously requested. The Tennessee Valley Authority has plans to add 6,600 megawatts of new capacity to its grid.
This buildout is big enough to endanger the country’s climate targets. Although these utilities are also building new renewable and battery farms, and shutting down coal plants, the planned surge in carbon emissions from natural gas plants would erase the reductions from those changes, according to a Southern Environmental Law Center analysis. Duke Energy has already said that it will not meet its 2030 climate goal in order to conduct the gas expansion.
In the popular press, AI’s voracious energy demand is sometimes said to be a major driver of this planned gas boom. But evidence for that proposition is slim, and the utilities have said only that data center expansion is one of several reasons for the boom. The Southeast’s population is growing, and the region is experiencing a manufacturing renaissance, due in part to the new car, battery, and solar panel factories subsidized by Biden’s climate law. Utilities in the South also face a particular challenge coping with the coldest winter mornings because so many homes and offices use inefficient and power-hungry space heaters.
Indeed, it’s hard to talk about the drivers of load growth with any specificity — and it’s hard to know whether load growth will actually happen in all corners of the South.
Utilities compete against each other to secure big-name customers — much like local governments compete with sweetheart tax deals — so when a utility asks regulators to build more capacity, it doesn’t reveal where potentialpower demand is coming from. (In other words, it doesn’t reveal who it believes will eventually buy that power.) A company might float plans to build the same data center or factory in multiple states to shop around for the best rates, which means the same underlying gigawatts of demand may be appearing in several different utilities’ resource plans at the same time. In other words, utilities are unlikely to actually see all of the demand they’re now projecting.
Even if we did know exactly how many gigawatts of new demand each utility would see, it’s almost impossible to say how much of it is coming from AI. Utilities don’t say how much of their future projected power demand will come from planned factories versus data centers. Nor do they say what each data center does and whether it trains AI (or mines Bitcoin, which remains a far bigger energy suck).
The risk of focusing on AI, specifically, as a driver of load growth is that because it’s a hot new technology — one with national security implications, no less — it can rhetorically justify expensive emergency action that is actually not necessary at all. Utilities may very well need to build more power capacity in the years to come. But does that need constitute an emergency? Does it justify seeking special permission from their statehouses or regulators to build more gas, instead of going through the regular planning process? Is it worth accelerating approvals for new gas plants? Probably not. The real danger, in other words, is not that we’ll run out of power. It’s that we’ll build too much of the wrong kind.
At the same time, we might have been led astray by overly dire predictions of AI’s energy use. Jonathan Koomey, a researcher who studies how the internet and data centers use energy (and the namesake of Koomey’s Law) told me that many estimates of Nvidia’s most important AI chips assume that their energy use is the same as their advertised “rated” power. In reality, Nvidia chips probably use half of that amount, he said, because chipmakers engineer their chips to withstand more electricity than is necessary for safety reasons.
And this is just the current generation of chips: Nvidia’s next generation of AI-training chips, called “Blackwell,” use 25 times less energy to do the same amount of computation as the previous generation of chips.
Koomey helped defuse the last panic over energy use by showing that the estimates Huber and Mills relied on were wildly incorrect. Estimates now suggest that the internet used less than 1% of total U.S. electricity by the late 1990s, not 13% as they claimed. Those percentages stayedroughly the same through 2008, he later found, even as data centers grew and computers proliferated across the economy. That’s the same year, remember, that Huber and Mills predicted that the internet would consume half of American energy.
These bad predictions were extremely convenient. Mills was a scientific advisor to the Greening Earth Society, a fossil-fuel-industry-funded group that alleged carbon dioxide pollution would actually improve the global environment. He aimed to show that climate and environmental policy would conflict with the continued growth of the internet.
“Many electricity policy proposals are on a collision course with demand forces,” Mills said in a Greening Earth press release at the time. “While many environmentalists want to substantially reduce coal use in making electricity, there is no chance of meeting future economically-driven and Internet-accelerated electric demand without retaining and expanding the coal component.” Hence the headline of the Forbes piece: “The PCs are coming — Dig more coal.”
What makes today’s AI-induced fear frenzy different from 1999 is that the alarmed projections are not just coming from businesses and banks like Morgan Stanley, but from environmentalists like Friends of the Earth. Yet neither their estimates of near-term, AI-driven power shortages — nor the analysis from Morgan Stanley that U.S. data-center use could soon triple within a year — make sense given what we know about data centers, Koomey said. It is not logistically possible to triple data centers’ electricity use in one year. “There just aren’t enough people to build data centers, and it takes longer than a year to build a new data center anyway,” he said. “There aren’t enough generators, there aren’t enough transformers — the backlog for some equipment is 24 months. It’s a supply chain constraint.”
Look around and you might notice that we have many more servers and computers today than we did in 1999 — not to mention smartphones and tablets, which didn’t even exist then — and yet computing doesn’t devour half of American energy. It doesn’t even get close. Today, computers use 1% to 4% of total U.S. power demand, depending on which estimate you trust. That’s about the same share of total U.S. electricity demand that they used in the late 1990s and mid-2000s.
It may well be that AI devours more energy in years to come, but utilities probably do not need to deal with it by building more gas. They could install more batteries, build new power lines, or even pay some customers to reduce their electricity usage during certain peak events, such as cold winter storms.
There are some places where AI-driven energy demand could be a problem — Koomey cited Ireland and Loudon County, Virginia, as two epicenters. But even there, building more natural gas is not the sole way to cope with load growth.
“The problem with this debate is everybody is kind of right,” Daniel Tait, who researches Southern utilities for the Energy and Policy Institute, a consumer watchdog, told me. “Yes, AI will increase load a little bit, but probably not as much as you think. Yes, load is growing, but maybe not as much as you say. Yes, we do need to build stuff, but maybe not the stuff that you want.”
There are real risks if AI’s energy demands get overstated and utilities go on a gas-driven bender. The first is for the planet: Utilities might overbuild gas plants now, run them even though they’re non-economic, and blow through their climate goals.
“Utilities — especially the vertically integrated monopoles in the South — have every incentive to overstate load growth, and they have a pattern of having done that consistently,” Gudrun Thompson, a senior attorney at the Southern Environmental Law Center, told me. In 2017, the Rocky Mountain Institute, an energy think tank, found in 2017 that utilities systematically overestimated their peak demand when compiling forecasts. This makes sense: Utilities would rather build too much capacity than wind up with too little, especially when they can pass along the associated costs to rate-payers.
But the second risk is that utilities could burn through the public’s willingness to pay for grid upgrades. Over the next few years, utilities should make dozens of updates to their systems. They have to build new renewables, new batteries, and new clean 24/7 power, such as nuclear or geothermal. They will have to link their grids to their neighbors’ by building new transmission lines. All of that will be expensive, and it could require the kind of investment that raises electricity rates. But the public and politicians can accept only so many rate hikes before they rebel, and there’s a risk that utilities spend through that fuzzy budget on unnecessary and wasteful projects now, not on the projects that they’ll need in the future.
There is no question that AI will use more electricity in the years to come. But so will EVs, new factories, and other sources of demand. America is on track to use more electricity. If that becomes a crisis, it will be one of our own making.
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Ecolectro, a maker of electrolyzers, has a new manufacturing deal with Re:Build.
By all outward appearances, the green hydrogen industry is in a state of arrested development. The hype cycle of project announcements stemming from Biden-era policies crashed after those policies took too long to implement. A number of high profile clean hydrogen projects have fallen apart since the start of the year, and deep uncertainty remains about whether the Trump administration will go to bat for the industry or further cripple it.
The picture may not be as bleak as it seems, however. On Wednesday, the green hydrogen startup Ecolectro, which has been quietly developing its technology for more than a decade, came out with a new plan to bring the tech to market. The company announced a partnership with Re:Build Manufacturing, a sort of manufacturing incubator that helps startups optimize their products for U.S. fabrication, to build their first units, design their assembly lines, and eventually begin producing at a commercial scale in a Re:Build-owned factory.
“It is a lot for a startup to create a massive manufacturing facility that’s going to cost hundreds of millions of dollars when they’re pre-revenue,” Jon Gordon, Ecolectro’s chief commercial officer, told me. This contract manufacturing partnership with Re:Build is “massive,” he said, because it means Ecolectro doesn’t have to take on lots of debt to scale. (The companies did not disclose the size of the contract.)
The company expects to begin producing its first electrolyzer units — devices that split water into hydrogen and oxygen using electricity — at Re:Build’s industrial design and fabrication site in Rochester, New York, later this year. If all goes well, it will move production to Re:Build’s high-volume manufacturing facility in New Kensington, Pennsylvania next year.
The number one obstacle to scaling up the production and use of cleaner hydrogen, which could help cut emissions from fertilizer, aviation, steelmaking, and other heavy industries, is the high cost of producing it. Under the Biden administration, Congress passed a suite of policies designed to kick-start the industry, including an $8 billion grant program and a lucrative new tax credit. But Biden only got a small fraction of the grant money out the door, and did not finalize the rules for claiming the tax credit until January. Now, the Trump administration is considering terminating its agreements with some of the grant recipients, and Republicans in Congress might change or kill the tax credit.
Since the start of the year, a $500 million fuel plant in upstate New York, a $400 million manufacturing facility in Michigan, and a $500 million green steel factory in Mississippi, have been cancelled or indefinitely delayed.
The outlook is particularly bad for hydrogen made from water and electricity, often called “green” hydrogen, according to a recent BloombergNEF analysis. Trump’s tariffs could increase the cost of green hydrogen by 14%, or $1 per kilogram, based on tariff announcements as of April 8. More than 70% of the clean hydrogen volumes coming online between now and 2030 are what’s known as “blue” hydrogen, made using natural gas, with carbon capture to eliminate climate pollution. “Blue hydrogen has more demand than green hydrogen, not just because it’s cheaper to produce, but also because there’s a lot less uncertainty around it,” BloombergNEF analyst Payal Kaur said during a presentation at the research firm’s recent summit in New York City. Blue hydrogen companies can take advantage of a tax credit for carbon capture, which Congress is much less likely to scrap than the hydrogen tax credit.
Gordon is intimately familiar with hydrogen’s cost impediments. He came to Ecolectro after four years as co-founder of Universal Hydrogen, a startup building hydrogen-powered planes that shut down last summer after burning through its cash and failing to raise more. By the end, Gordon had become a hydrogen skeptic, he told me. The company had customers interested in its planes, but clean hydrogen fuel was too expensive at $15 to $20 per kilogram. It needed to come in under $2.50 to compete with jet fuel. “Regional aviation customers weren’t going to spend 10 times the ticket price just to fly zero emissions,” he said. “It wasn’t clear to me, and I don’t think it was clear to our prospective investors, how the cost of hydrogen was going to be reduced.” Now, he’s convinced that Ecolectro’s new chemistry is the answer.
Ecolectro started in a lab at Cornell University, where its cofounder and chief science officer Kristina Hugar was doing her PhD research. Hugar developed a new material, a polymer “anion exchange membrane,” that had potential to significantly lower the cost of electrolyzers. Many of the companies making electrolyzers use designs that require expensive and supply-constrained metals like iridium and titanium. Hugar’s membrane makes it possible to use low-cost nickel and steel instead.
The company’s “stack,” the sandwich of an anode, membrane, and cathode that makes up the core of the electrolyzer, costs at least 50% less than the “proton exchange membrane” versions on the market today, according to Gordon. In lab tests, it has achieved more than 70% efficiency, meaning that more than 70% of the electrical energy going into the system is converted into usable chemical energy stored in hydrogen. The industry average is around 61%, according to the Department of Energy.
In addition to using cheaper materials, the company is focused on building electrolyzers that customers can install on-site to eliminate the cost of transporting the fuel. Its first customer was Liberty New York Gas, a natural gas company in Massena, New York, which installed a small, 10-kilowatt electrolyzer in a shipping container directly outside its office as part of a pilot project. Like many natural gas companies, Liberty is testing blending small amounts of hydrogen into its system — in this case, directly into the heating systems it uses in the office building — to evaluate it as an option for lowering emissions across its customer base. The equipment draws electricity from the local electric grid, which, in that region, mostly comes from low-cost hydroelectric power plants.
Taking into account the expected manufacturing cost for a commercial-scale electrolyzer, Ecolectro says that a project paying the same low price for water and power as Liberty would be able to produce hydrogen for less than $2.50 per kilogram — even without subsidies. Through its partnership with Re:Build, the company will produce electrolyzers in the 250- to 500-kilowatt range, as well as in the 1- to 5-megawatt range. It will be announcing a larger 250-kilowatt pilot project later this year, Gordon said.
All of this sounded promising, but what I really wanted to know is who Ecolectro thought its customers were going to be. Demand for clean hydrogen, or the lack thereof, is perhaps the biggest challenge the industry faces to scaling, after cost. Of the roughly 13 million to 15 million tons of clean hydrogen production announced to come online between now and 2030, companies only have offtake agreements for about 2.5 million tons, according to Kaur of BNEF. Most of those agreements are also non-binding, meaning they may not even happen.
Gordon tied companies’ struggle with offtake to their business models of building big, expensive, facilities in remote areas, meaning the hydrogen has to be transported long distances to customers. He said that when he was with Universal Hydrogen, he tried negotiating offtake agreements with some of these big projects, but they were asking customers to commit to 20-year contracts — and to figure out the delivery on their own.
“Right now, where we see the industry is that people want less hydrogen than that,” he said. “So we make it much easier for the customer to adopt by leasing them this unit. They don’t have to pay some enormous capex, and then it’s on site and it’s producing a fair amount of hydrogen for them to engage in pilot studies of blending, or refining, or whatever they’re going to use it for.”
He expects most of the demand to come from industrial customers that already use hydrogen, like fertilizer companies and refineries, that want to switch to a cleaner version of the fuel, or hydrogen-curious companies that want to experiment with blending it into their natural gas burners to reduce their emissions. Demand will also be geographically-limited to places like New York, Washington State, and Texas, that have low-cost electricity available, he said. “I think the opportunity is big, and it’s here, but only if you’re using a product like ours.”
On coal mines, Energy Star, and the EV tax credit
Current conditions: Storms continue to roll through North Texas today, where a home caught fire from a lightning strike earlier this week • Warm, dry days ahead may hinder hotshot crews’ attempts to contain the 1,500-acre Sawlog fire, burning about 40 miles west of Butte, Montana• Severe thunderstorms could move through Rome today on the first day of the papal conclave.
The International Energy Agency published its annual Global Methane Tracker report on Wednesday morning, finding that over 120 million tons of the potent greenhouse gas were emitted by oil, gas, and coal in 2024, close to the record high in 2019. In particular, the research found that coal mines were the second-largest energy sector methane emitter after oil, at 40 million tons — about equivalent to India’s annual carbon dioxide emissions. Abandoned coal mines alone emitted nearly 5 million tons of methane, more than abandoned oil and gas wells at 3 million tons.
“Coal, one of the biggest methane culprits, is still being ignored,” Sabina Assan, the methane analyst at the energy think tank Ember, said in a statement. “There are cost-effective technologies available today, so this is a low-hanging fruit of tackling methane.” Per the IEA report, about 70% of all annual methane emissions from the energy sector “could be avoided with existing technologies,” and “a significant share of abatement measures could pay for themselves within a year.” Around 35 million tons of total methane emissions from fossil fuels “could be avoided at no net cost, based on average energy prices in 2024,” the report goes on. Read the full findings here.
Opportunities to reduce methane emissions in the energy sector, 2024
IEA
The Environmental Protection Agency told staff this week that the division that oversees the Energy Star efficiency certification program for home appliances will be eliminated as part of the Trump administration’s ongoing cuts and reorganization, The Washington Post reports. The Energy Star program, which was created under President George H.W. Bush, has, in the past three decades, helped Americans save more than $500 billion in energy costs by directing them to more efficient appliances, as well as prevented an estimated 4 billion metric tons of greenhouse gas from entering the atmosphere since 1992, according to the government’s numbers. Almost 90% of Americans recognize its blue logo on sight, per The New York Times.
President Trump, however, has taken a personal interest in what he believes are poorly performing shower heads, dishwashers, and other appliances (although, as we’ve fact-checked here at Heatmap, many of his opinions on the issue are outdated or misplaced). In a letter on Tuesday, a large coalition of industry groups including the Air-Conditioning, Heating, and Refrigeration Institute, the Association of Home Appliance Manufacturers, and the U.S. Chamber of Commerce wrote to EPA Administrator Lee Zeldin in defense of Energy Star, arguing it is “an example of an effective non-regulatory program and partnership between the government and the private sector. Eliminating it will not serve the American people.”
House Speaker Mike Johnson suggested that the electric vehicle tax credit may be on its last legs, according to an interview he gave Bloomberg on Tuesday. “I think there is a better chance we kill it than save it,” Johnson said. “But we’ll see how it comes out.” He estimated that House Republicans would reveal their plan for the tax credits later this week. Still, as Bloomberg notes, a potential hangup may be that “many EV factories have been built or are under construction in GOP districts.”
As we’ve covered at Heatmap, President Trump flirted with ending the $7,500 tax credit for EVs throughout his campaign, a move that would mark “a significant setback to the American auto industry’s attempts to make the transition to electric vehicles,” my colleague Robinson Meyer writes. That holds true for all EV makers, including Tesla, the world’s most valuable auto company. However, its CEO, Elon Musk — who holds an influential position within the government — has said he supports the end of the tax credit “because Tesla has more experience building EVs than any other company, [and] it would suffer least from the subsidy’s disappearance.”
Constellation Energy Corp. held its quarterly earnings call on Tuesday, announcing that its operating revenue rose more than 10% in the first three months of the year compared to 2024, beating expectations. Shares climbed 12% after the call, with Chief Executive Officer Joe Dominguez confirming that Constellation’s pending purchase of natural gas and geothermal energy firm Calpine is on track to be completed by the end of the year, and that the nuclear power utility is “working hard to meet the power needs of customers nationwide, including powering the new AI products that Americans increasingly are using in their daily lives and that businesses and government are using to provide better products and services.”
But as my colleague Matthew Zeitlin reported, Dominguez also threw some “lukewarm water on the most aggressive load growth projections,” telling investors that “it’s not hard to conclude that the headlines are inflated.” As Matthew points out, Dominguez also has some reason to downplay expectations, including that “there needs to be massive investment in new power plants,” which could affect the value of Constellation’s existing generation fleet.
The Rockefeller Foundation aims to phase out 60 coal-fired power plants by 2030 by using revenue from carbon credits to cover the costs of closures, the Financial Times reports. The team working on the initiative has identified 1,000 plants in developing countries that would be eligible for the program under its methodology.
Rob and Jesse go deep on the electricity machine.
Last week, more than 50 million people across mainland Spain and Portugal suffered a blackout that lasted more than 10 hours and shuttered stores, halted trains, and dealt more than $1 billion in economic damage. At least eight deaths have been attributed to the power outage.
Almost immediately, some commentators blamed the blackout on the large share of renewables on the Iberian peninsula’s power grid. Are they right? How does the number of big, heavy, spinning objects on the grid affect grid operators’ ability to keep the lights on?
On this week’s episode of Shift Key, Jesse and Rob dive into what may have caused the Iberian blackout — as well as how grid operators manage supply and demand, voltage and frequency, and renewables and thermal resources, and operate the continent-spanning machine that is the power grid. Shift Key is hosted by Robinson Meyer, the founding executive editor of Heatmap, and Jesse Jenkins, a professor of energy systems engineering at Princeton University.
Subscribe to “Shift Key” and find this episode on Apple Podcasts, Spotify, Amazon, 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:
Robinson Meyer: So a number of people started saying, oh, this was actually caused because there wasn’t enough inertia on the grid — that Spain kind of flew too close to the sun, let’s say, and had too many instantaneous resources that are metered by inverters and not by these large mechanical generators attached to its grid. Some issue happened and it wasn’t able to maintain the frequency of its grid as needed. How likely do you think that is?
Jesse Jenkins: So I don’t think it’s plausible as the precipitating event, the initial thing that started to drive the grid towards collapse. I would say it did contribute once the Iberian grid disconnected from France.
So let me break that down: When Spain and Portugal are connected to the rest of the continental European grid, there’s an enormous amount of inertia in that system because it doesn’t actually matter what’s going on just in Spain. They’re connected to this continen- scale grid, and so as the frequency drops there, it drops a little bit in France, and it drops a little bit in Latvia and all the generators across Europe are contributing to that balance. So there was a surplus of inertia across Europe at the time.
Once the system in Iberia disconnected from France, though, now it’s operating on its own as an actual island, and there it has very little inertia because the system operator only scheduled a couple thousand megawatts of conventional thermal units of gas power plants and nuclear. And so it had a very high penetration on the peninsula of non-inertia-based resources like solar and wind. And so whatever is happening up to that point, once the grid disconnected, it certainly lacked enough inertia to recover at that point from the kind of cascading events. But it doesn’t seem like a lack of inertia contributed to the initial precipitating event.
Something — we don’t know what yet — caused two generators to simultaneously disconnect. And we know that we’ve observed oscillation in the frequency, meaning something happened to disturb the frequency in Spain before all this happened. And we don’t know exactly what that disturbance was.
There could have been a lot of different things. It could have been a sudden surge of wind or solar generation. That’s possible. It could have been something going wrong with the control system that manages the automatic response to changes in frequency — they were measuring the wrong thing, and they started to speed up or slow down, or something went wrong. That happened in the past, in the case of a generator in Florida that turned on and tried to synchronize with the grid and got its controls wrong, and that causes caused oscillations of the frequency that propagated all through the Eastern Interconnection — as far away as North Dakota, which is like 2,000 miles away, you know? So these things happen. Sometimes thermal generators screw up.
Music for Shift Key is by Adam Kromelow.