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With net metering out of favor, the options for homeowners have gotten more complicated.

The early adopters of DIY solar had to pay a premium to put panels on their rooftops, sure — but at least they had a simple way to recoup that investment. Every kilowatt of self-generated sun power was one they didn’t have to buy from the power company. And for houses with big solar setups, so big they could satisfy their own needs and then some, selling their excess electricity back onto the grid could even be lucrative.
This strategy, called net metering, turned lots of homeowners and businesses into little power plants. These days, though, utilities are pushing back. New rules and laws in states such as Indiana, North Carolina, and even sun-drenched Arizona and California have throttled back on how much they’ll pay individual solar generators. Some mandated a lower price be paid to homeowners, making it less worthwhile to get a large home solar setup in the first place.
That presents a dilemma for homeowners generating more solar power than they can use: Where does it all go? The answer, it turns out, is more complicated than simply selling excess kilowatts back to the power company.
Arguments against the old-school way of net metering, where people essentially earn back the full price of energy they sell, lean on economic fairness. People who don’t pay for electricity or even make money back via their solar panels don’t pay for the grid maintenance that’s built into the price of electricity, and therefore pass it on to everyone else (although the size of this effect is in dispute). There’s also a design question: Grid systems were built to direct electricity from the power company to homeowners. When energy starts to flow in both directions, things can get unstable.
Whether rooftop solar is even good for the climate, actually, remains a confounding question. The counter-argument, as expounded by Jesse Jenkins on a recent episode of Heatmap’s Shift Key podcast, is that rooftop solar replaces utility-scale solar capacity that could’ve been built at lower cost, thus slowing down the clean energy transition.
Nevertheless, homes are installing solar, and their excess energy has to go somewhere, lest those kilowatt-hours be wasted. But if not onto the grid, then where? That’s the question I asked Steven Low, a professor and clean energy expert at the California Institute of Technology. (Disclosure: My full time job is as a communications editor at Caltech.)
“If you have significant feedback from [photovoltaic solar panels] to the grid then you may trigger protections, and that will screw up the operation of the grid,” he said. If only a few homes have solar, “that is probably not a big issue. But if you have more and more such PVs generating power that will affect the grid, then this will be a problem.”
For now at least, the best solution can be summed up in a single word: batteries. Low and his colleagues are collaborating with the power department in Pasadena, California to test batteries that can store and release excess power automatically to stop voltage from becoming unstable. In Hawaii, which has a high percentage of households with solar, Hawaiian Electric has a program to pay customers who put in a home battery system alongside their solar setup. The logic is twofold: First, a stash of backup power makes homes more resilient in case of a blackout, and storing solar power in a big battery is climate-friendlier than firing up a diesel generator. Second, from the utilities’ point of view, more storage means less uncertainty on the grid.
A problem, of course, is that batteries aren’t cheap — and they’re in high demand. “The battery at this point, especially since EV is taking off, is still usually much more valuable for transportation than for electricity service,” Low told me. Home batteries don’t need to be as big because appliances don’t use as much energy as a car flying down the freeway. Tesla’s powerwall has a capacity of 13.5 kWh, for example, less than a quarter as much as the battery in a standard-range Tesla Model Y. Multiple batteries can be stacked in a group, but the cost adds up quickly. Low speculated that perhaps used EV batteries will find a second life as home backup batteries once their capacity falls so far that they’re no longer useful for road trips.
Helpfully, a grid-connected home battery can move energy in multiple ways. A solar home could stash extra clean energy during the day to use in the dark of night. People who live under a virtual power plant can engage in “energy arbitrage” — the buy low, sell high practice of storing energy when it’s cheap and selling it back onto the grid when it’s expensive. (Technically, you don’t even need the solar panels to do this, although the emissions reduction would be far smaller.)
The idea of electricity moving in every direction — not just from the electric company to you — leads to the promise of the microgrid, the energy-sharing gold standard where neighbors can share power. The school district in Santa Barbara, California, for example, is developing a solar-powered microgrid to reinforce the resilience of an area that’s particularly vulnerable to earthquakes and other grid disruptions. If the grid goes down, a neighborhood, company, or organization with a microgrid that can “island” itself is able to keep the lights, on as homes and businesses that can make or store extra energy sell it to their neighbors.
Before any of that can happen, though, “there needs to be some incentive structure for me to provide power to my neighbor, also using the grid that belongs to the utility,” Low said. That last part is the trickiest. It’s not just the technical and financial infrastructure needed to share electricity across the cul-de-sac. The utility must agree to let energy flows in this way over infrastructure that it owns. And somebody has to oversee such a complex energy web.
“Let's say you have a lot of households and businesses install PV,” Low said. “They have their storage, and they want arbitrage because they can be profitable selling waste.” But you also want to make sure people are maximizing their own storage for stability’s sake. “Who's going to do that coordination? A natural way is for utilities to do that, but then that will require the utility to either control or at least communicate with each household,” which would in turn require complex data-sharing infrastructure.
As Tim Hale of Scaled Microgrids told me, it’s not easy for people to decide whether all that trouble is worthwhile because there’s no simple way to put a price tag on making a company or a community more resilient against power disruptions.
“It's a very complex thought exercise for people to go through,” he said “Generally speaking, there are companies and entities and people that value resilience and there are people that don't. Right? And the people who value resilience are the people that build microgrids.”
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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.