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Is the East Coast’s most abundant source of renewable energy too expensive?

You may have heard about the problems offshore wind projects are having with whales — specifically the coalition of coastal homeowners, right-wing advocacy groups, the fishing industry, and Tucker Carlson that’s been promoting speculative claims about turbines killing them. But opposition to renewable energy is nothing new. A much bigger problem for offshore wind is less TV-friendly, but much more serious: It’s more expensive than originally thought.
Up and down the East Coast and even in Britain, offshore wind projects have been delayed or even cancelled thanks to costs rising faster than expected.
Until this summer, offshore wind had seem primed for a big breakout. The Biden White House has set a goal for 30 gigawatts of offshore wind by 2030. Many states, especially in the Northeast, are also relying on offshore wind to do much of the work decarbonizing their electric grids. With ample coastline and relatively little open space compared to the wind corridor of the Great Plains, these states envision large offshore wind sites delivering about a gigawatt of power from massive turbines that are far enough away to be hardly visible from the shore but close enough to major population centers to avoid some of the interconnection and transmission issues that plague renewable development.
Yet instead of a breakout, there’s been a constriction.
Just this week, the utility Rhode Island Energy pulled the plug on its Revolution Wind II project, a planned 884-megawatt wind farm that could have powered 500,000 homes. It only attracted a single bidder, a joint venture between Orsted and Eversource.
In Massachusetts, the companies behind Commonwealth Wind, a planned 1,200 megawatt project, asked in December to get out of a power purchase agreement with state utilities, citing higher costs. This week the companies agreed to pay $48 million in termination penalties.
New Jersey legislators passed a bill earlier this month to direct federal tax credits to Orsted, the developer of its Ocean Wind I project, leading the developer of another wind project to ask for “an industry-wide solution,” saying that “[t]ens of thousands of real, well-paid and unionized jobs are at risk. Hundreds of millions in infrastructure investments will be forgone without a path forward.”
And in New York in June, offshore wind developers, responsible for over 4,000 megawatts worth of planned projects, petitioned the state’s Public Service Commission for more money, citing inflation.
This is a lot of lost capacity. Amazingly, there are still only two operational offshore wind projects in the United States, adding up to just 42 megawatts — about 0.14% of what the Biden administration wants installed by the end of the decade and less than 2% of the offshore wind capacity of Belgium. The American Clean Power Association estimated in May there were 50 gigawatts worth of projects in some stage of development, albeit with a small fraction actually under construction and the majority in “early development.” But now that pipeline has gotten a little longer and a lot more expensive.
“I’m actually pretty concerned over some of the cost dynamics that we’ve seen in terms of longer term impacts in terms of pace and scale we can deploy,” Allegra Dawes, a fellow at the Center for Strategic and International Studies, told me.
Rhode Island Energy said the bid for its Revolution Wind II project would not “reduce energy costs," essentially meaning what the utility would have to charge its customers to pay for the construction wouldn’t ultimately be worth it. Rhode Island Energy specifically cited “[h]igher interest rates, increased costs of capital, and supply chain expenses, as well as the uncertainty of federal tax credits” as “all likely contribut[ing] to higher proposed contract costs. Those costs were ultimately deemed too expensive for customers to bear.”
The surge in costs has put developers into a difficult spot, explained Dawes. “They look at projects and the agreed upon price and are not seeing a path to profitability.”
While Orsted, the project developer for the cancelled Rhode Island project (and several other East Coast wind projects), was optimistic about the deal earlier this year, its executives have been clear-eyed that the industry has seen costs go up.
“We believe that generally we are operating in an industry which is clearly realizing that the conditions have changed both in terms of cost of capital and the Capex inflation,” Orsted’s Chief Executive Mads Nipper said in the company’s May call with analysts. The company's Chief Financial Officer Daniel Lerup further warned, “It is our clear expectation that we will see prices go up in the coming auctions.”
Analysts and the industry have blamed a bevy of factors for costs growing. Higher interest rates drive financing costs up. There’s also the higher costs for materials like steel, which wind developers blamed both on generalized inflation and specifically the Russian invasion of Ukraine, which led to price spikes across all sorts of commodities.
Last year, major wind turbine manufacturers hiked their prices, which Commonwealth Wind blamed in a December filing to get out of an agreement with the Massachusetts utilities that would buy power from its wind project.
“The prolonged war in Ukraine has unsettled markets and increased costs for many products, inflation has been persistent, interest rates have increased in a manner unprecedented in recent times, commodity prices have risen sharply, and supply shortages and supply-chain constraints once thought to be temporary remain pervasive ... Simply put, it is now far more expensive to construct the Project than could have been reasonably foreseen even earlier this year,” Commonwealth Wind said in its December filing.
The cost issues were so dramatic that the companies were willing to pay some $48 million in fees. But that doesn’t mean that ratepayers are out of the woods. The companies are expected to re-bid on the projects at a higher price.
These problems aren’t distinct to the East Coast. The Swedish energy company Vattenfall said Thursday it was cancelling a planned wind project in the North Sea due to 40 percent cost increases. “Higher inflation and capital costs are affecting the entire energy sector, but the geopolitical situation has made offshore wind and its supply chain particularly vulnerable,” its chief executive Anna Borg said in in the company’s interim financial report.
None of this bodes well for the future of offshore wind. Thanks to larger turbines and stronger winds, offshore windfarms tend to produce more of their potential power than onshore wind or solar, but building them is also more logistically complicated and expensive. They thus require hefty financing — Vineyard Wind, for example, secured a $2.3 billion construction loan in 2021 — and can be quite sensitive to the cost of financing, i.e. interest rates.
If offshore windfarms can't show how they‘ll eventually recuperate these investments, coastal areas around the world may lose a vital source of renewable energy — or their residents will pay the price.
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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.