You’re out of free articles.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
Sign In or Create an Account.
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Welcome to Heatmap
Thank you for registering with Heatmap. Climate change is one of the greatest challenges of our lives, a force reshaping our economy, our politics, and our culture. We hope to be your trusted, friendly, and insightful guide to that transformation. Please enjoy your free articles. You can check your profile here .
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Subscribe to get unlimited Access
Hey, you are out of free articles but you are only a few clicks away from full access. Subscribe below and take advantage of our introductory offer.
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Create Your Account
Please Enter Your Password
Forgot your password?
Please enter the email address you use for your account so we can send you a link to reset your password:
Got a solar panel? Time for a little energy arbitrage.

The new film Dumb Money gives home traders the Hollywood treatment. The movie, based on the GameStop saga of 2021, recounts how amateur stock enthusiasts and trolls united on online platforms like Reddit drove up the stock price of an over-the-hill video game store and caused huge losses for hedge funds that bet against the stock.
The bizarre episode shone a spotlight on just how many armchair stock jockeys are out there. Now, another type of trader is quietly growing in popularity: the garage energy baron.
Online, you can find solar enthusiasts not only celebrating how much energy their panels created but also how much money they made by selling energy back to the electric utility. As more homes can make and store their own energy, more homeowners are trying to get in on “energy arbitrage.” They are buying low and selling high, though this time the product in question is not a share of company stock, but a kilowatt-hour of energy.
Most people have minimal control of their home energy. It is a resource we consume, and the principal way to affect the monthly bill is by turning up the AC or turning off the lights. The roughly 5 percent of Americans with solar panels, along with those who have wind turbines or other ways to generate electricity, have been changing the equation by becoming energy providers rather than passive recipients.
Home solar lowers the amount of energy a home must buy from the grid. Sometimes, when the sun shines high and unobstructed, homeowners with a large solar setup can make more energy than the home requires. In most places, they can turn around and sell the excess energy back to the grid. Net metering, as it is called, helps to recoup the five-figure sum needed to pay for solar panels in the first place.
The revenue can be eye-popping. In the Tesla Solar subreddit, a hive of people with Elon Musk’s solar panels and integrated home energy systems, users recount the details of their system and their savings. A poster from Texas this week uploaded a screenshot showing they made $600 in a month by selling back energy as part of Tesla Electric, the company’s virtual power plant (VPP).
Tesla Electric works because of a new wrinkle in the energy game. With the advent of products such as Tesla’s Powerwall — basically a big, intelligent battery for the house — homeowners can now make their own energy and store it for later, which opens new possibilities. The first is a no-brainer: Stashing excess energy in the battery creates a backup power supply in case of a blackout. However, the ability to charge and discharge the battery at will gives rise to gamesmanship.
Suppose that instead of selling solar energy to the grid right away (in the afternoon when there’s lots of it), a homeowner stashes it and waits. In the evening, when energy demand rises as people get home from work and the price of energy rises, that’s when their system hits the “sell button.”
This is energy arbitrage. It earns the biggest windfalls when prices are volatile, with big gaps between high and low. That’s exactly what happened in Australia in 2022, where wild markets earned record profits for anyone who could use a big battery to buy and sell energy. In Texas, the Tesla Electric VPP automatically sells the energy stored in customers’ home Powerwalls when the price is the highest (and refills the battery when electricity is cheap), which leads to windfall profits during a major “sell event.” One Redditor claimed to be up more than $800 this summer, mostly by using his Powerwall to perform energy arbitrage.
Indeed, homeowners don’t need solar panels or wind turbines to do this, says Jeff Maguire, a researcher at the National Renewable Energy Lab.
“If you're in that scenario and you have a battery, you can charge the battery when energy is cheap and discharge it when energy is expensive,” he says. “You'll make a little bit of profit, and you can do that every day. It’s called energy arbitrage. It's one way to pay [yourself] back for the batteries. It's usually not enough to cover the cost of the battery itself, but it certainly helps, and then you'll have it for resilience when you need it.”
Of course, all this scheming and strategy is reliant upon one basic idea: that a person can sell electricity back to the grid at fair market price. There is no guarantee this will continue indefinitely.
Over the past couple of years, state lawmakers and electric utility operators around the country have proposed cutting off net metering, slashing the rates residents get paid for extra energy. One (disputed) argument from utilities is “cost-shift,” the idea that people with solar panels are subsidized by everybody else who pays for standard electricity, and who pays for the upkeep of the grid as part of every kWh they purchase. Another is technical: America’s aging infrastructure wasn’t built with this “backfeeding” in mind, and may not be able to deal with a very large number of homes sending juice back onto the grid.
The gambit is also about the big utilities’ bottom line. They don’t want to have to “curtail” some of their solar because there’s too much on the grid, thanks to net-metering residents. And they, too, are engaged in the energy arbitrage game.
Many electric utilities are installing their own large energy storage facilities, which is crucial as the country uses more and more renewable energy: If people can’t move their electricity consumption to the times of peak energy supply — say, by charging their EV in the middle of the day when the sun shines — then we need to save lots of our renewable energy for later. When the utility stashes solar energy made from the noontime sun and sells it at 7 p.m. when residential electricity is costlier, it makes a little profit in the process to help pay for the cost of those storage systems.
What all this means for the home energy trader could vary wildly state by state. New Hampshire, in a surprise, just decided against slashing net metering rates. Sunny California, the country’s biggest residential solar market, cut energy payments for new PV installations by 75 percent – in theory because there’s already too much solar – while grandfathering in all the people who already have panels.
It may turn out that if you want to be a solar trader, you should have started yesterday.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
The electric vehicle-maker’s newly unveiled, lidar-equipped, autonomy-enabled R2 is scheduled to hit the road next year.
When Rivian revealed the R2 back in the spring of 2024, the compelling part of the electric SUV was price. The vehicle looked almost exactly like the huge R1S that helped launch the brand, but scaled down to a true two-row, five-seat ride that would start at $45,000. That’s not exactly cheap, but it would create a Rivian for lots of drivers who admired the company’s sleek adventure EV but couldn’t afford to spend nearly a hundred grand on a vehicle.
But at the company’s “Autonomy and AI Day,” held on Thursday at Rivian’s Palo Alto office in the heart of Silicon Valley, company leaders raised the expectations for their next vehicle. R2 wouldn’t just be the more affordable Rivian — it would be the AI-defined car that vaults them into the race to develop truly self-driving cars.
First, the hardware. Rivian said that the R2 will come with 11 camera and five radar units spread around the vehicle to improve the car’s ability to comprehend the world around it. But the crucial, headline-grabbing addition is a lidar, or light-based radar, unit. Lidar shoots laser pulses and measures the time it takes for the reflected light to return, thereby building a three-dimensional picture of the environment it surveys.
Those twirling bobs you might have seen on the top of Waymo’s driverless cars as they roam the streets, mapping the world around them, are lidar. The technology’s ability to see the world in detail across distances is necessary for the upper levels of automotive autonomy — the ones where the car can basically do it all and the humans can take their hands off the wheel and their eyes off the road.
Lidar units to date have been large and expensive, which is one reason they’re seen in pods that protrude from the top of a vehicle. Rivian, however, figured out how to mount one within the vehicle, in the area at the top of the front windshield near the rear-view mirror. The forward-facing lidar gives the vehicle 300 meters of forward vision. Demos the company showed during autonomy day revealed just how much more a constellation of cameras, radar, and lidar can see than a system without lidar, especially in dark or foggy conditions.
The other “wow” reveal on Thursday was that the R2 will process all that camera data on a chip that Rivian built from scratch to handle the AI and autonomous driving workload of its vehicles, rather than sourcing chips from some other tech company. CEO R.J. Scaringe said during his presentation to open the event that this kind of vertical integration was meant to allow the company to keep pace with the AI race as opposed to having to work with whatever third-party components it could get.
The result is a leap forward in capability over what Rivian offered with the R1S SUV and R1T pickup truck. Those vehicles had a hand-free system that let the EVs drive themselves with minimal human oversight on a little more than 100,000 miles of roads that were well-marked and well-mapped. James Philbin, the vice president of autonomy and AI, promised on Thursday that the lidar and processing improvements would allow hands-free driving on more than 3 million miles of roads — basically anywhere that the lines on the highway are clear enough for the R2’s cameras to see. And what’s next, Rivian promises, is true autonomy. The SUV will drive itself entirely from point to point when the conditions allow, and as the AI continuously improves over time, you might eventually see driverless Rivians out there competing with the likes of Waymo.
All this stuff costs money, of course. The Rivian Autonomy+ package would add $2,500 or a monthly fee of $50 to the purchase price. But the fact that this tech is coming to a car that starts in the $40,000s is telling. It is how many people will get their first taste of true vehicle autonomy.
Thursday’s event wasn’t all about self-driving, either. Rivian also built an AI software assistant for the cabin that can be summoned with a “Hey Rivian” and perform all kinds of in-car functions, such as changing the driving mode or adjusting the climate control. The achievement here is one of natural language. In Rivian’s demos, the assistant could ably fulfill the driver’s wishes with a command like “make it a little toastier in here” as opposed to formal instructional language like “turn the driver’s temperature to 70 degrees and set the seat heater to level one.”
At times this feels unnecessary, like AI looking for something to do to justify its existence. It doesn’t take that many button-pushes to alter the climate, after all. I admit, though, that having test-driven Rivians on road trips this summer, one of their weak points is my struggle to remember exactly which menu contains which controls. AI, in a way, helpfully solves a problem created by the modern EV that has amazing capability, but routes that capability through a large touchscreen that’s annoying (and dangerous) to navigate while driving.
Rivian is playing catch up with Tesla when it comes to autonomy, of course, as Elon Musk’s company has been touting its Full Self Driving feature for years and is now building the Cybercab, which is meant to be a car that humans will never drive. But Tesla has struggled to meet its timelines and targets for autonomous systems, giving rivals like Rivian a window to develop their own technology.
And so, what’s clear after Rivian’s event is that car companies, especially EV makers, are going to be key players in this autonomy and AI age. Nowhere was it written that electric vehicles had to be synonymous with self-driving vehicles. Battery-powered cars could be dumb and not smart, ruled by buttons instead of touchscreens. It just so happens that EVs are finally coming of age during the simultaneous ascent of artificial intelligence — and that the leading EV-only startups are Silicon Valley tech companies, or at least started out that way.
Tesla has forgotten about acting like a car company and staked its future on being the one that will crack true self-driving and reap the windfall. Rivian, which hadn’t made nearly as much noise about AI and autonomy before this week, has put forth a compelling case for its in-house autonomous systems and AI models, ones that will continue to improve as they’re trained on data provided by thousands of R2s hitting the road starting in 2026.
The market is reeling from a trio of worrisome data center announcements.
The AI industry coughed and the power industry is getting a cold.
The S&P 500 hit a record high on Thursday afternoon, but in the cold light of Friday, several artificial intelligence-related companies are feeling a chill. A trio of stories in the data center and semiconductor industry revealed dented market optimism, driving the tech-heavy NASDAQ 100 down almost 2% in Friday afternoon trading, and several energy-related stocks are down even more.
Here’s what’s happening:
Taken together, the three stories look like an AI slowdown, at least compared to the most optimistic forecasts for growth. If so, expectations of how much power these data centers need will also have to come down a bit. That has led to notable stock dips for companies across the power sector, especially independent power producers that own power plants, many of whose shares have risen sharply in the past year or two.
Shares in NRG were down around 4.5% on the day on Friday afternoon; nuclear-heavy Constellation Energy was down over 6%; Talen Energy, which owns a portfolio of nuclear and fossil fuel plants, was down almost 3% and Vistra was down 2%. Shares in GE Vernova, which is expanding its gas turbine manufacturing capacity to meet high expected demand for power, were down over 3.5%.
It’s not just traditional power companies that are catching this AI chill — renewables are shivering, as well. American solar manufacturer First Solar is down over 5%, while solar manufacturing and development company Canadian Solar is down over almost 9%.
Shares of Blue Owl, the investment firm that is helping to fund the big tech data center buildout, were down almost 4%.
The fates of all these companies are deeply intertwined. As Heatmap contributor Advait Arun wrote recently, ”The commercial potential of next-generation energy technologies such as advanced nuclear, batteries, and grid-enhancing applications now hinge on the speed and scale of the AI buildout.” Many AI-related companies are either invested in or lend to each other, meaning that a stumble that looks small initially could quickly cascade.
The power industry has seen these types of AI-optimism hiccups before, however. In January, several power companies swooned after Chinese AI company DeepSeek released an open source, compute-efficient large language model comparable to the most advanced models developed by U.S. labs.
Constellation’s stock price, for example, fell as much as 20% in response to the “DeepSeek Moment,” but are up over 45% this year, even factoring in today’s fall. GE Vernova shares have doubled in value this year.
So it looks like the power sector will still have something to celebrate at the end of this year, even if the celebrations are slightly less warm than they might have been.
Activists are suing for records on three projects in Wyoming.
Three wind projects in Wyoming are stuck in the middle of a widening legal battle between local wildlife conservation activists and the Trump administration over eagle death records.
The rural Wyoming bird advocacy group Albany County Conservancy filed a federal lawsuit last week against the Trump administration seeking to compel the government to release reams of information about how it records deaths from three facilities owned and operated by the utility PacifiCorp: Dunlap Wind, Ekola Flats, and Seven Mile Hill. The group filed its lawsuit under the Freedom of Information Act, the national public records disclosure law, and accused the Fish and Wildlife Service of unlawfully withholding evidence related to whether the three wind farms were fully compliant with the Bald and Golden Eagle Protection Act.
I’m eyeing this case closely because it suggests these wind farms may fall under future scrutiny from the Fish and Wildlife Service, either for prospective fines or far worse, as the agency continues a sweeping review of wind projects’ compliance with BGEPA, a statute anti-wind advocates have made clear they seek to use as a cudgel against operating facilities. It’s especially noteworthy that a year into Trump’s term, his promises to go after wind projects have not really touched onshore, primarily offshore. (The exception, of course, being Lava Ridge.)
Violating the eagle protection statute has significant penalties. For each eagle death beyond what FWS has permitted, a company is subject to at least $100,000 in fines or a year in prison. These penalties go up if a company is knowingly violating the law repeatedly. In August, the Service sent letters to wind developers and utilities across the country requesting records demonstrating compliance with BGEPA as part of a crackdown on wind energy writ large.
This brings us back to the lawsuit. Crucial to this case is the work of a former Fish and Wildlife Service biologist Mike Lockhart, whom intrepid readers of The Fight may remember for telling me that he’s been submitting evidence of excessive golden eagle deaths to Fish and Wildlife for years. Along with its legal complaint, the Conservancy filed a detailed breakdown of its back-and-forth with Fish and Wildlife over an initial public records request. Per those records, the agency has failed to produce any evidence that it received Lockhart’s proof of bird deaths – ones that he asserts occurred because of these wind farms.
“By refusing to even identify, let alone disclose, obviously responsive but nonexempt records the Conservancy knows to be in the Department’s possession and/or control, the Department leaves open serious questions about the integrity of its administration of BGEPA,” the lawsuit alleges.
The Fish and Wildlife Service did not respond to a request for comment on the case, though it’s worth noting that agencies rarely comment on pending litigation. PacifiCorp did not immediately respond to a request either. I will keep you posted as this progresses.