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It has been a catastrophic 12 months for offshore wind in the United States. Several large projects have been canceled along the Mid-Atlantic, and Orsted, the world’s largest offshore wind developer, has laid off hundreds of employees and canceled its dividend. Is the industry dying?
Maybe it’s actually about to turn a corner. In this episode, Jesse Jenkins, an energy systems expert and professor at Princeton University, and I discuss the future of the sector, and Jesse tries to convince me that the industry is about to bounce back.
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's an excerpt of our conversation:
Robinson Meyer: Make a case to me about why offshore wind … like 2023 was the catastrophic year for offshore wind, and now it’s going to come back.
Jesse Jenkins: Yeah, that’s a great question.
I mean, I think it is worth pausing and noting that offshore wind in the United States was already pretty expensive, and is now even more expensive. So I think the contracts that New Jersey signed, for example, which are 20-year, basically fixed price contracts — they got to go up at 2% per year, which is what we thought inflation would be, but now is maybe not where it will be over the next few years, but basically fixed long term contracts — were in the $80 to $90 per megawatt-hour range, which itself is roughly double the wholesale electricity cost in the region. So we’re basically paying for twice as much for wind energy as we would pay for natural gas or coal fired power in the regional electricity mix. And that’s after a federal subsidy knocks off 30% of the upfront cost.
That sounds like a lot, right? And I think it’s fair to say that the costs that are going to be signed in the new auctions that are happening now are going to be up or above $100 per megawatt hour. So, just the interest rates alone ... You know, the Fed raised interest rates by over 5% from March 2022 to August 2023. That 5 percentage point increase in the cost of capital would raise the levelized cost, or average cost of electricity alone, by about a third for any of these projects. So it’s a huge cost escalator. And of course, the underlying cost of building the projects went up by about 65%. That’s way faster, about three times faster than consumer goods went up. We all know about how much more expensive it is to buy milk or bread or fill up at the gas pump. So, that’s the case for seeing this as, you know, the bear case — that these projects are now really expensive, and maybe they’re more expensive than we’re willing to pay.
On the other hand, I think there’s three reasons that, basically every state is still committed to building out offshore wind despite those cost increases. One is that is an historic, once in a generation macro inflationary cycle, a global pandemic with all of the supply chain disruptions that came with that, followed by a war in Europe and all of the impacts on energy costs that that brought about, you know, etc., these are really unique circumstances. And so those should be behind us, right?
Hopefully we can then get back on a trajectory of building out this new industry across the region, including the supply chains and the expertise in the transmission infrastructure undersea, to bring the wind onshore. That will steadily drive down the cost. And the reason to be optimistic about that is we have seen that in Europe, right? The wind industry did follow a very significant cost decline trajectory over the 15 years or so from its birth to now, in Europe. And we’re just going to have to pay a lot of those costs here because that learning and the experience in the infrastructure and the workforce isn’t really translatable.
The second reason is just there’s not a lot of alternatives for these states. Yes, electricity is structurally more expensive in Europe. It’s also structurally more expensive all along the eastern coast because we have high population density, population centers. There’s … these are very dense populated centers close to the coast, without access to the really good wind and solar resources that we see in the U.S. interior or the West. And so what are we going to do? Are we going to continue to burn fossil fuels? That would be the cheapest thing to do in the near term, but of course has lots of long term implications, including accelerating climate change. And all of these states have committed to transitioning away from fossil fuels. Virginia, New Jersey, York, Massachusetts, etc. have these 100% clean energy commitments.
The full transcript is available here.
This episode of Shift Key is sponsored by Advanced Energy United, KORE Power, and Yale …
Advanced Energy United educates, engages, and advocates for policies that allow our member companies to compete to power our economy with 100% clean energy, working with decision makers and energy market regulators to achieve this goal. Together, we are united in our mission to accelerate the transition to 100% clean energy in America. Learn more at advancedenergyunited.org/heatmap
KORE Power provides the commercial, industrial, and utility markets with functional solutions that advance the clean energy transition worldwide. KORE Power's technology and manufacturing capabilities provide direct access to next generation battery cells, energy storage systems that scale to grid+, EV power & infrastructure, and intuitive asset management to unlock energy strategies across a myriad of applications. Explore more at korepower.com — the future of clean energy is here.
Build your skills in policy, finance, and clean technology at Yale. Yale’s Financing and Deploying Clean Energy certificate program is a 10-month online certificate program that trains and connects clean energy professionals to catalyze an equitable transition to a clean economy. Connect with Yale’s expertise, grow your professional network, and deepen your impact. Learn more at cbey.yale.edu/certificate.
Music for Shift Key is by Adam Kromelow.
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation. What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.