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The end has been coming for a while. With the EPA’s new power plant emissions rules, though, it’s gotten a lot closer.
There’s no question that coal is on its way out in the U.S. In 2001, coal-fired power plants generated about 50% of U.S. electricity. Last year, they were down to about 15%.
On Thursday, however, the Biden administration arguably delivered a death blow. New carbon emission limits for coal plants establish a clear timeline by which America’s remaining coal generators must either invest in costly carbon capture equipment or close. With many of these plants already struggling to compete with cheaper renewables and natural gas, it’s not likely to be much of a choice. If the rule survives legal challenges, the nation’s coal fleet could be extinct by 2039.
Coal plant retirement presents a two-pronged problem: Utilities have to figure out how to replace lost power generation, and the surrounding community must reckon with the lost tax revenue and jobs from the power plants and the coal mines that supplied them.
From the beginning, Biden has promised to help revitalize the economies of the communities left in coal’s wake. “We’re never going to forget the men and women who dug the coal and built the nation,” he said when he laid out his energy transition plan just a week after entering office. “We’re going to do right by them.”
Economic revitalization doesn’t happen overnight, of course, or even in the span of a four-year term. But money is already rolling out in the form of targeted investments in new energy sources, businesses, and jobs in coal communities, and there’s more to come.
It’s the proactive planning aspect, however, that remains underresourced and scattershot.
Emily Grubert, a civil engineer and sociologist at the University of Notre Dame, told me there are few plants that are expected to make it past 2039 regardless, due to their age and the economics of operating them. The emissions rule’s real potential, then, is to bring about a more orderly — and potentially less painful — exit.
A Heatmap analysis of Energy Information Administration data found that of the nation’s roughly 230 remaining coal plants, 38 are scheduled to fully shut down by 2032. These plants won’t have to make any changes under the new rule. An additional five will shutter by 2039. These will be required to reduce their emissions in the interim, beginning in 2030, by replacing some of the coal they burn with natural gas. That leaves about 190 plants with either partial retirement plans or no plans at all that will be forced to make a decision between carbon capture and shutting down.
Grubert told me that many of these plants have, in fact, communicated informal plans to shut down that are not recorded in the federal data. That aside, she called it “amazing” how many have no retirement plans at all.
For surrounding communities, an impending coal transition can look really different in different places, depending on geography and how diverse the local economy is. Still, the first step should be the same everywhere. “What you need to do, really practically, is figure out what that plant is supporting,” Grubert told me. “What needs to be replaced, for whom, and by when?
It’s a lot more concrete than it seems: It’s some specific number of people, it’s some specific amount of tax revenue. It’s much easier to move forward once you actually know what those are.”
How much of that work has been done so far depends, in part, on the state. Some, like Colorado, New Mexico, and Illinois, have established new positions or entirely new offices dedicated to helping communities transition off fossil fuels. But other states, like Wyoming and Ohio, have advanced measures to keep coal plants open as long as possible.
Successful planning also depends on how clearly a retirement date is articulated and stuck to, Jeffrey Jacquet, an associate professor of rural sociology at Ohio State University who leads a multidisciplinary research project on coal communities there, told me. Some communities have been told one date and then been blindsided when a plant has been forced to shut down years earlier for economic reasons. He noted one success story in Shadyside, Ohio, where the local school board was able to negotiate a deal to slowly step down its tax collections over four years after learning the RE Burger coal plant was going to close. “Had they not weaned us off losing that tax revenue, we would have been in terrible shape,” a school board administrator told a student on Jacquet’s project. “Fiscally we’re pretty good on solid ground now, but at one point it was an extremely bleak time.”
The new power plant rule could help address some of these problems by putting the entire country on the same set timeline, forcing plant operators to put retirement dates in writing. There’s still a risk some will fail early, in unforeseen ways, but at least communities will have been put on notice.
Those who go looking for help will find ample resources. When I started looking into all of the programs that exist to bring investment into coal communities, or otherwise help them diversify their economies, I was surprised at how much investment in coal communities had already been set in motion:
This list is far from comprehensive. In fact, there are so many programs, it’s kind of a problem.
“So much of it comes down to the local capacity to take advantage of these opportunities,” Jacquet told me. “A lot of these communities are losing population, they’re facing out-migration. Community leaders are already overworked and overstressed.” (Possible case in point: I reached out to several local groups doing coal transition work in West Virginia and Kentucky for this story, and wasn’t able to get anyone on the phone.)
This isn’t a new problem, per se. The federal government had dozens of programs and pots of money set aside for rural economic development before the Biden administration came into the White House, but they were scattered across different agencies and departments within those agencies, making it difficult for any overworked, overstressed town manager to know where to start.
Jeremy Richardson, a manager of the carbon-free electricity program at the think tank RMI, told me he was involved in a group that pitched policies to the incoming president that would help ease the process. “It shouldn’t be on the community to navigate the entire federal bureaucracy to figure out what they qualify for,” he said.
Biden took the note. In his first climate executive order, he established the Interagency Working Group on Coal and Power Plant Communities and Economic Revitalization, which is building tools to help companies and local governments identify funding opportunities. Its “getting started guide,” which Richardson called a “fantastic piece of work,” walks communities and workers through 10 concrete steps, from identifying needs to developing a transition strategy to finding funding and implementing a project, with curated resources for each step. The group also established four “rapid response” teams to provide more targeted assistance to communities in areas with the highest loss of coal assets.
Jacquet summed up the group’s work as “hand holding,” stressing that it still required people at the local level that were willing and able to take advantage of these services. “I think we’re sort of seeing this phenomenon where the communities that are already best positioned to take advantage of these are going to be the ones that take advantage of it,” he said.
There are other limitations to the broader suite of federal assistance programs. For instance, even if a community is able to attract a big manufacturing project, there may be a several-years gap between the coal plant closing and the new job opportunities and local tax revenue manifesting.
That’s why the coordination efforts in states like Colorado, which was the first to establish an Office of Just Transition in 2019, are so promising. The office has a small staff of six, and a meager budget of $15 million, but is making progress by focusing on highly targeted assistance. In the town of Craig, two nearby coal-fired power plants are scheduled to retire over the next four years and four coal mines will shutter by 2030, taking with them 900 jobs and about 45% of the county’s tax revenue. A new “transition navigator” hired in January will help match the town’s needs with federal and state funding opportunities and serve as a central point of contact for coal workers and their families seeking connection to services.
“I think it’s been really helpful,” said Richardson. “They’ve had long conversations — several years of conversations — with those communities in northwest Colorado that are facing closures soon.” The office was controversial at first. Republicans called it “Orwellian” and unanimously opposed it. But in the years since, some of its staunchest critics have become its biggest champions. “To me that says that they’re doing some good work and they’re making some inroads.”
There’s progress on the energy side, too. RMI is pushing a model called “clean repowering,” enabled by a suite of IRA incentives that offer tax credits and loan guarantees for clean energy projects in fossil fuel communities. The idea is that renewable energy projects can get around the yearslong bottleneck of connecting to the grid by building in close proximity to existing fossil fuel plants. A lot of these plants have “spare” interconnection rights that a solar or wind farm could use to connect a lot sooner.
RMI found 250 gigawatts of spare rights available — which is more than the capacity of the entire existing coal fleet. “If you can build a renewable facility alongside where that fossil plant is, maybe you use the fossil plant a little less because it’s cheaper to generate from the renewables, but you know, you don’t have to close it immediately,” said Richardson.
As Daniel Raimi, a fellow at Resources for the Future, told me, even though the coal transition has been in motion for decades, it’s still early. There hasn’t been enough research. Much of the funding and programs are new. No one really knows yet what’s working, or what could work better.
The only thing that’s clear, he said, is that if these communities are going to develop alternative economic futures, they really need to begin that process now.
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Geothermal is getting closer to the big time. Last week, Fervo Energy — arguably the country’s leading enhanced geothermal company — announced that its Utah demonstration project had achieved record production capacity. The new approach termed “enhanced geothermal,” which borrows drilling techniques and expertise from the oil and gas industry, seems poised to become a big player on America’s clean, 24/7 power grid of the future.
Why is geothermal so hot? How soon could it appear on the grid — and why does it have advantages that other zero-carbon technologies don’t? On this week’s episode of Shift Key, Rob and Jesse speak with a practitioner and an expert in the world of enhanced geothermal. Sarah Jewett is the vice president of strategy at Fervo Energy, which she joined after several years in the oil and gas industry. Wilson Ricks is a doctoral student of mechanical and aerospace engineering at Princeton University, where he studies macro-energy systems modeling. 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.
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Here is an excerpt from our conversation:
Robinson Meyer: I just wanted to hit a different note here, which is, Sarah, you’ve alluded a few times to your past in the oil and gas industry. I think this is true across Fervo, is that of course, the technologies we’re discussing here are fracking derived. What has your background in the oil and gas industry and hydrocarbons taught you that you think about at Fervo now, and developing geothermal as a resource?
Sarah Jewett: There are so many things. I mean, I’m thinking about my time in the oil and gas industry daily. And you’re exactly right, I think today about 60% of Fervo’s employees come from the oil and gas industry. And because we are only just about to start construction on our first power facility, the percentage of contractors and field workers from the oil and gas industry is much higher than 60%.
Jesse Jenkins: Right, you can’t go and hire a bunch of people with geothermal experience when there is no large-scale geothermal industry to pull from.
Jewett: That’s right. That’s right. And so the oil and gas industry, I think, has taught us, so many different types of things. I mean, we can’t really exist without thinking about the history of the oil and gas industry — even, you know, Wilson and I are sort of comparing our learning rates to learning rates observed in various different oil and gas basins by different operators, so you can see a lot of prior technological pathways.
I mean, first off, we’re just using off the shelf technology that has been proven and tested in the oil and gas industry over the last 25 years, which has been, really, the reason why geothermal is able to have this big new unlock, because we’re using all of this off the shelf technology that now exists. It’s not like the early 2000s, where there was a single bit we could have tried. Now there are a ton of different bits that are available to us that we can try and say, how is this working? How is this working? How’s this working?
So I think, from a technological perspective, it’s helpful. And then from just an industry that has set a solid example it’s been really helpful, and that can be leveraged in a number of different ways. Learning rates, for example; how to set up supply chains in remote areas, for example; how to engage with and interact with communities. I think we’ve seen examples of oil and gas doing that well and doing it poorly. And I’ve gotten to observe firsthand the oil and gas industry doing it well and doing it poorly.
And so I’ve gotten to learn a lot about how we need to treat those around us, explain to them what it is that we’re doing, how open we need to be. And I think that has been immensely helpful as we’ve crafted the role that we’re going to play in these communities at large.
Wilson Ricks: I think it’s also interesting to talk about the connection to the oil and gas industry from the perspective of the political economy of the energy transition, specifically because you hear policymakers talk all the time about retraining workers from these legacy industries that, if we’re serious about decarbonizing, will unavoidably have to contract — and, you know, getting those people involved in clean energy, in these new industries.
And often that’s taking drillers and retraining some kind of very different job — or coal miners — into battery manufacturers. This is almost exactly one to one. Like Sarah said, there’s additional expertise and experience that you need to get really good at doing this in the geothermal context. But for the most part, you are taking the exact same skills and just reapplying them, and so it allows for both a potentially very smooth transition of workforces, and also it allows for scale-up of enhanced geothermal to proceed much more smoothly than it potentially would if you had to kind of train an entire workforce from scratch to just do this.
This episode of Shift Key is sponsored by …
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Music for Shift Key is by Adam Kromelow.
Why the new “reasoning” models might gobble up more electricity — at least in the short term
What happens when artificial intelligence takes some time to think?
The newest set of models from OpenAI, o1-mini and o1-preview, exhibit more “reasoning” than existing large language models and associated interfaces, which spit out answers to prompts almost instantaneously.
Instead, the new model will sometimes “think” for as long as a minute or two. “Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes,” OpenAI announced in a blog post last week. The company said these models perform better than their existing ones on some tasks, especially related to math and science. “This is a significant advancement and represents a new level of AI capability,” the company said.
But is it also a significant advancement in energy usage?
In the short run at least, almost certainly, as spending more time “thinking” and generating more text will require more computing power. As Erik Johannes Husom, a researcher at SINTEF Digital, a Norwegian research organization, told me, “It looks like we’re going to get another acceleration of generative AI’s carbon footprint.”
Discussion of energy use and large language models has been dominated by the gargantuan requirements for “training,” essentially running a massive set of equations through a corpus of text from the internet. This requires hardware on the scale of tens of thousands of graphical processing units and an estimated 50 gigawatt-hours of electricity to run.
Training GPT-4 cost “more than” $100 million OpenAI chief executive Sam Altman has said; the next generation models will likely cost around $1 billion, according to Anthropic chief executive Dario Amodei, a figure that might balloon to $100 billion for further generation models, according to Oracle founder Larry Ellison.
While a huge portion of these costs are hardware, the energy consumption is considerable as well. (Meta reported that when training its Llama 3 models, power would sometimes fluctuate by “tens of megawatts,” enough to power thousands of homes). It’s no wonder that OpenAI’s chief executive Sam Altman has put hundreds of millions of dollars into a fusion company.
But the models are not simply trained, they're used out in the world, generating outputs (think of what ChatGPT spits back at you). This process tends to be comparable to other common activities like streaming Netflix or using a lightbulb. This can be done with different hardware and the process is more distributed and less energy intensive.
As large language models are being developed, most computational power — and therefore most electricity — is used on training, Charlie Snell, a PhD student at University of California at Berkeley who studies artificial intelligence, told me. “For a long time training was the dominant term in computing because people weren’t using models much.” But as these models become more popular, that balance could shift.
“There will be a tipping point depending on the user load, when the total energy consumed by the inference requests is larger than the training,” said Jovan Stojkovic, a graduate student at the University of Illinois who has written about optimizing inference in large language models.
And these new reasoning models could bring that tipping point forward because of how computationally intensive they are.
“The more output a model produces, the more computations it has performed. So, long chain-of-thoughts leads to more energy consumption,” Husom of SINTEF Digital told me.
OpenAI staffers have been downright enthusiastic about the possibilities of having more time to think, seeing it as another breakthrough in artificial intelligence that could lead to subsequent breakthroughs on a range of scientific and mathematical problems. “o1 thinks for seconds, but we aim for future versions to think for hours, days, even weeks. Inference costs will be higher, but what cost would you pay for a new cancer drug? For breakthrough batteries? For a proof of the Riemann Hypothesis? AI can be more than chatbots,” OpenAI researcher Noam Brown tweeted.
But those “hours, days, even weeks” will mean more computation and “there is no doubt that the increased performance requires a lot of computation,” Husom said, along with more carbon emissions.
But Snell told me that might not be the end of the story. It’s possible that over the long term, the overall computing demands for constructing and operating large language models will remain fixed or possibly even decline.
While “the default is that as capabilities increase, demand will increase and there will be more inference,” Snell told me, “maybe we can squeeze reasoning capability into a small model ... Maybe we spend more on inference but it’s a much smaller model.”
OpenAI hints at this possibility, describing their o1-mini as “a smaller model optimized for STEM reasoning,” in contrast to other, larger models that “are pre-trained on vast datasets” and “have broad world knowledge,” which can make them “expensive and slow for real-world applications.” OpenAI is suggesting that a model can know less but think more and deliver comparable or better results to larger models — which might mean more efficient and less energy hungry large language models.
In short, thinking might use less brain power than remembering, even if you think for a very long time.
On Azerbaijan’s plans, offshore wind auctions, and solar jobs
Current conditions: Thousands of firefighters are battling raging blazes in Portugal • Shanghai could be hit by another typhoon this week • More than 18 inches of rain fell in less than 24 hours in Carolina Beach, which forecasters say is a one-in-a-thousand-year event.
Azerbaijan, the host of this year’s COP29, today put forward a list of “non-negotiated” initiatives for the November climate summit that will “supplement” the official mandated program. The action plan includes the creation of a new “Climate Finance Action Fun” that will take (voluntary) contributions from fossil fuel producing countries, a call for increasing battery storage capacity, an appeal for a global “truce” during the event, and a declaration aimed at curbing methane emissions from waste (which the Financial Times noted is “only the third most common man-made source of methane, after the energy and agricultural sectors”). The plan makes no mention of furthering efforts to phase out fossil fuels in the energy system.
The Interior Department set a date for an offshore wind energy lease sale in the Gulf of Maine, an area which the government sees as suitable for developing floating offshore wind technology. The auction will take place on October 29 and cover eight areas on the Outer Continental Shelf off Massachusetts, New Hampshire, and Maine. The area could provide 13 gigawatts of offshore wind energy, if fully developed. The Biden administration has a goal of installing 30 GW of offshore wind by 2030, and has approved about half that amount so far. The DOI’s terms and conditions for the October lease sale include “stipulations designed to promote the development of a robust domestic U.S. supply chain for floating wind.” Floating offshore wind turbines can be deployed in much deeper waters than traditional offshore projects, and could therefore unlock large areas for clean power generation. Last month the government gave the green light for researchers to study floating turbines in the Gulf of Maine.
In other wind news, BP is selling its U.S. onshore wind business, bp Wind Energy. The firm’s 10 wind farm projects have a total generating capacity of 1.3 gigawatts and analysts think they could be worth $2 billion. When it comes to renewables, the fossil fuel giant said it is focusing on investing in solar growth, and onshore wind is “not aligned” with those plans.
The number of jobs in the U.S. solar industry last year grew to 279,447, up 6% from 2022, according to a new report from the nonprofit Interstate Renewable Energy Council. Utility-scale solar added 1,888 jobs in 2023, a 6.8% increase and a nice rebound from 2022, when the utility-scale solar market recorded a loss in jobs. The report warns that we might not see the same kind of growth for solar jobs in 2024, though. Residential installations have dropped, and large utility-scale projects are struggling with grid connection. The report’s authors also note that as the industry grows, it faces a shortage of skilled workers.
Interstate Renewable Energy Council
Most employers reported that hiring qualified solar workers was difficult, especially in installation and project development. “It’s difficult because our projects are built in very rural areas where there just aren't a lot of people,” one interviewee who works at a utility-scale solar firm said. “We strive to hire as many local people as possible because we want local communities to feel the economic impact or benefit from our projects. So in some communities where we go, it is difficult to find local people that are skilled and can perform the work.”
The torrential rain that has battered central Europe is tapering off a bit, but the danger of rising water remains. “The massive amounts of rain that fell is now working its way through the river systems and we are starting to see flooding in areas that avoided the worst of the rain,” BBC meteorologist Matt Taylor explained. The Polish city of Nysa told its 44,000 residents to leave yesterday as water rose. In the Czech Republic, 70% of the town of Litovel was submerged in 3 feet of flooding. The death toll from the disaster has risen to 18. Now the forecast is calling for heavy rain in Italy. “The catastrophic rainfall hitting central Europe is exactly what scientists expect with climate change,” Joyce Kimutai, a climate scientist with Imperial College London’s Grantham Institute, toldThe Guardian.
A recent study examining the effects of London’s ultra-low emissions zone on how students get to school found that a year after the rules came into effect, many students had switched to walking, biking, or taking public transport instead of being driven in private vehicles.