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Explosion of power-hungry data centers could derail California clean energy goals

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Monday, August 12, 2024

Near the Salton Sea, a company plans to build a data center to support artificial intelligence that would cover land the size of 15 football fields and require power that could support 425,000 homes. In Santa Clara — the heart of Silicon Valley — electric rates are rising as the municipal utility spends heavily on transmission lines and other infrastructure to accommodate the voracious power demand from more than 50 data centers, which now consume 60% of the city’s electricity.And earlier this year, Pacific Gas & Electric told investors that its customers have proposed more than two dozen data centers, requiring 3.5 gigawatts of power — the output of three new nuclear reactors. Vantage Data Center in Santa Clara is equipped with its own electrical substations. (Paul Kuroda / For The Times) While the benefits and risks of AI continue to be debated, one thing is clear: The technology is rapacious for power. Experts warn that the frenzy of data center construction could delay California’s transition away from fossil fuels and raise electric bills for everyone else. The data centers’ insatiable appetite for electricity, they say, also increases the risk of blackouts.Even now, California is at the verge of not having enough power. An analysis of public data by the nonprofit GridClue ranks California 49th of the 50 states in resilience — or the ability to avoid blackouts by having more electricity available than homes and businesses need at peak hours.“California is working itself into a precarious position,” said Thomas Popik, president of the Foundation for Resilient Societies, which created GridClue to educate the public on threats posed by increasing power use.The state has already extended the lives of Pacific Gas & Electric Co.’s Diablo Canyon nuclear plant as well as some natural gas-fueled plants in an attempt to avoid blackouts on sweltering days when power use surges. Worried that California could no longer predict its need for power because of fast-rising use, an association of locally run electricity providers called on state officials in May to immediately analyze how quickly demand was increasing. The California Community Choice Assn. sent its letter to the state energy commission after officials had to revise their annual forecast of power demand upward because of skyrocketing use by Santa Clara’s dozens of data centers. A large NTT data center rises in a Santa Clara neighborhood. (Paul Kuroda / For The Times) The facilities, giant warehouses of computer servers, have long been big power users. They support all that Americans do on the internet — from online shopping to streaming Netflix to watching influencers on TikTok.But the specialized chips required for generative AI use far more electricity — and water — than those that support the typical internet search because they are designed to read through vast amounts of data.A ChatGPT-powered search, according to the International Energy Agency, consumes 10 times the power as a search on Google without AI.And because those new chips generate so much heat, more power and water is required to keep them cool.“I’m just surprised that the state isn’t tracking this, with so much attention on power and water use here in California,” said Shaolei Ren, associate professor of electrical and computer engineering at UC Riverside.Ren and his colleagues calculated that the global use of AI could require as much fresh water in 2027 as that now used by four to six countries the size of Denmark.Driving the data center construction is money. Today’s stock market rewards companies that say they are investing in AI. Electric utilities profit as power use rises. And local governments benefit from the property taxes paid by data centers. Transmission lines are reflected on the side of the NTT data center in Santa Clara. (Paul Kuroda / For The Times) Silicon Valley is the world’s epicenter of AI, with some of the biggest developers headquartered there, including Alphabet, Apple and Meta. OpenAI, the creator of ChatGPT, is based in San Francisco. Nvidia, the maker of chips needed for AI, operates from Santa Clara.The big tech companies leading in AI, which also include Microsoft and Amazon, are spending billions to build new data centers around the world. They are also paying to rent space for their servers in so-called co-location data centers built by other companies.In a Chicago suburb, a developer recently bought 55 homes so they could be razed to build a sprawling data center campus.Energy officials in northern Virginia, which has more data centers than any other region in the world, have proposed a transmission line to shore up the grid that would depend on coal plants that had been expected to be shuttered.In Oregon, Google and the city of The Dalles fought for 13 months to prevent the Oregonian from getting records of how much water the company’s data centers were consuming. The newspaper won the court case, learning the facilities drank up 29% of the city’s water.By 2030, data centers could account for as much as 11% of U.S. power demand — up from 3% now, according to analysts at Goldman Sachs.“We must demand more efficient data centers or else their continued growth will place an unsustainable strain on energy resources, impact new home building, and increase both carbon emissions and California residents’ cost of electricity,” wrote Charles Giancarlo, chief executive of the Santa Clara IT firm Pure Storage.Santa Clara a top market for data centers (Paul Kuroda / For The Times) California has more than 270 data centers, with the biggest concentration in Santa Clara. The city is an attractive location because its electric rates are 40% lower than those charged by PG&E.But the lower rates come with a higher cost to the climate. The city’s utility, Silicon Valley Power, emits more greenhouse gas than the average California electric utility because 23% of its power for commercial customers comes from gas-fired plants. Another 35% is purchased on the open market where the electricity’s origin can’t be traced.The utility also gives data centers and other big industrial customers a discount on electric rates.While Santa Clara households pay more for each kilowatt hour beyond a certain threshold, the rate for data centers declines as they use more power.The city receives millions of dollars of property taxes from the data centers. And 5% of the utility’s revenue goes to the city’s general fund, where it pays for services such as road maintenance and police.An analysis last year by the Silicon Valley Voice newspaper questioned the lower rates data centers pay compared with residents.“What impetus do Santa Clarans have to foot the bill for these environmentally unfriendly behemoth buildings?” wrote managing editor Erika Towne.In October, Manuel Pineda, the utility’s top official, told the City Council that his team was working to double power delivery over the next 10 years. “We prioritize growth as a strategic opportunity,” he said.He said usage by data centers was continuing to escalate, but the utility was nearing its power limit. He said 13 new data centers were under construction and 12 more were moving forward with plans.“We cannot currently serve all data centers that would like to be in Santa Clara,” he said. Dozens of data centers have been built for artificial intelligence and the internet in Santa Clara. (Paul Kuroda / For The Times) To accommodate increasing power use, the city is now spending heavily on transmission lines, substations and other infrastructure. At the same time, electric rates are rising. Rates had been increasing by 2% to 3% a year, but they jumped by 8% in January 2023, another 5% in July 2023 and 10% last January.Pineda told The Times that it wasn’t just the new infrastructure that pushed rates up. The biggest factor, he said, was a spike in natural gas prices in 2022, which increased power costs.He said residential customers pay higher rates because the distribution system to homes requires more poles, wires and transformers than the system serving data centers, which increases maintenance costs.Pineda said the city’s decisions to approve new data centers “are generally based on land use factors, not on revenue generation.”Loretta Lynch, former chair of the state’s public utilities commission, noted that big commercial customers such as data centers pay lower rates for electricity across the state. That means when transmission lines and other infrastructure must be built to handle the increasing power needs, residential customers pick up more of the bill.“Why aren’t data centers paying their fair share for infrastructure? That’s my question,” she said.PG&E eyes profits from boom The grid’s limited capacity has not stopped PG&E from wooing companies that want to build data centers.“I think we will definitely be one of the big ancillary winners of the demand growth for data centers,” Patricia Poppe, PG&E’s chief executive, told Wall Street analysts on an April conference call.Poppe said she recently invited the company’s tech customers to an event at a San José substation.“When I got there, I was pleasantly surprised to see AWS, Microsoft, Apple, Google, Equinix, Cisco, Western Digital Semiconductors, Tesla, all in attendance. These are our customers that we serve who want us to serve more,” she said on the call. “They were very clear: they would build … if we can provide.”In June, PG&E revealed it had received 26 applications for new data centers, including three that need at least 500 megawatts of power, 24 hours a day. In all, the proposed data centers would use 3.5 gigawatts. That amount of power could support nearly 5 million homes, based on the average usage of a California household of 6,174 kilowatts a year.In the June presentation, PG&E said the new data centers would require it to spend billions of dollars on new infrastructure.Already PG&E can’t keep up with connecting customers to the grid. It has fallen so far behind on connecting new housing developments that last year legislators passed a law to try to shorten the delays. At that time, the company told Politico that the delays stemmed from rising electricity demand, including from data centers.In a statement to The Times, PG&E said its system was “ready for data centers.”The company said its analysis showed that adding the data centers would not increase bills for other customers.Most of the year, excluding extreme hot weather, its grid “is only 45% utilized on average,” the company said.“Data centers’ baseload will enable us to utilize more of this percentage and deliver more per customer dollar,” the company said. “For every 1,000 MW load from data centers we anticipate our customers could expect 1-2% saving on their monthly electricity bill.”The company added that it was “developing tools to ensure that every customer can cost-effectively connect new loads to the system with minimal delay.”Lynch questioned the company’s analysis that adding data centers could reduce bills for other customers. She pointed out that utilities earn profits by investing in new infrastructure. That’s because they get to recover that cost — plus an annual rate of return — through rates billed to all customers.“The more they spend, the more they make,” she said.In the desert, cheap land and green energy A geothermal plant viewed from across the Salton Sea in December 2022. (Gina Ferazzi / Los Angeles Times) The power and land constraints in Santa Clara and other cities have data center developers looking for new frontiers.“On the edge of the Southern California desert in Imperial County sits an abundance of land,” begins the sales brochure for the data center that a company called CalEthos is building near the south shore of the Salton Sea.Electricity for the data center’s servers would come from the geothermal and solar plants built near the site in an area that has become known as Lithium Valley.The company is negotiating to purchase as much as 500 megawatts of power, the brochure said.Water for the project would come from the state’s much fought over allotment from the Colorado River.Imperial County is one of California’s poorest counties. More than 80% of its population are Latino. Many residents are farmworkers.Executives from Tustin-based CalEthos told The Times that by using power from the nearby geothermal plants it would help the local community.“By creating demand for local energy, CalEthos will help accelerate the development of Lithium Valley and its associated economic benefits,” Joel Stone, the company’s president, wrote in an email.“We recognize the importance of responsible energy and water use in California,” Stone said. “Our data centers will be designed to be as efficient as possible.”For example, Stone said that in order to minimize water use, CalEthos plans a cooling system where water is recirculated and “requires minimal replenishment due to evaporation.” Already, a local community group, Comite Civico del Valle, has raised concerns about the environmental and health risks of one of the nearby geothermal plants that plans to produce lithium from the brine brought up in the energy production process.One of the group’s concerns about the geothermal plant is that its water use will leave less to replenish the Salton Sea. The lake has been decreasing in size, creating a larger dry shoreline that is laden with bacteria and chemicals left from decades of agricultural runoff. Scientists have tied the high rate of childhood asthma in the area to dust from the shrinking lake’s shores.James Blair, associate professor of geography and anthropology at Cal Poly Pomona, questioned whether the area was the right place for a mammoth data center.“Data centers drain massive volumes of energy and water for chillers and cooling towers to prevent servers from overheating,” he said. Blair said that while the company can tell customers its data center is supported by environmentally friendly solar and geothermal power, it will take that renewable energy away from the rest of California’s grid, making it harder for the state to meet its climate goals. Newsletter Toward a more sustainable California Get Boiling Point, our newsletter exploring climate change, energy and the environment, and become part of the conversation — and the solution. You may occasionally receive promotional content from the Los Angeles Times.

Experts warn that a frenzy of data center construction could delay California's transition away from fossil fuels and raise everyone's electric bills.

Near the Salton Sea, a company plans to build a data center to support artificial intelligence that would cover land the size of 15 football fields and require power that could support 425,000 homes.

In Santa Clara — the heart of Silicon Valley — electric rates are rising as the municipal utility spends heavily on transmission lines and other infrastructure to accommodate the voracious power demand from more than 50 data centers, which now consume 60% of the city’s electricity.

And earlier this year, Pacific Gas & Electric told investors that its customers have proposed more than two dozen data centers, requiring 3.5 gigawatts of power — the output of three new nuclear reactors.

An electrical substation.

Vantage Data Center in Santa Clara is equipped with its own electrical substations.

(Paul Kuroda / For The Times)

While the benefits and risks of AI continue to be debated, one thing is clear: The technology is rapacious for power. Experts warn that the frenzy of data center construction could delay California’s transition away from fossil fuels and raise electric bills for everyone else. The data centers’ insatiable appetite for electricity, they say, also increases the risk of blackouts.

Even now, California is at the verge of not having enough power. An analysis of public data by the nonprofit GridClue ranks California 49th of the 50 states in resilience — or the ability to avoid blackouts by having more electricity available than homes and businesses need at peak hours.

“California is working itself into a precarious position,” said Thomas Popik, president of the Foundation for Resilient Societies, which created GridClue to educate the public on threats posed by increasing power use.

The state has already extended the lives of Pacific Gas & Electric Co.’s Diablo Canyon nuclear plant as well as some natural gas-fueled plants in an attempt to avoid blackouts on sweltering days when power use surges.

Worried that California could no longer predict its need for power because of fast-rising use, an association of locally run electricity providers called on state officials in May to immediately analyze how quickly demand was increasing.

The California Community Choice Assn. sent its letter to the state energy commission after officials had to revise their annual forecast of power demand upward because of skyrocketing use by Santa Clara’s dozens of data centers.

A large data center rises in an urban business district.

A large NTT data center rises in a Santa Clara neighborhood.

(Paul Kuroda / For The Times)

The facilities, giant warehouses of computer servers, have long been big power users. They support all that Americans do on the internet — from online shopping to streaming Netflix to watching influencers on TikTok.

But the specialized chips required for generative AI use far more electricity — and water — than those that support the typical internet search because they are designed to read through vast amounts of data.

A ChatGPT-powered search, according to the International Energy Agency, consumes 10 times the power as a search on Google without AI.

And because those new chips generate so much heat, more power and water is required to keep them cool.

“I’m just surprised that the state isn’t tracking this, with so much attention on power and water use here in California,” said Shaolei Ren, associate professor of electrical and computer engineering at UC Riverside.

Ren and his colleagues calculated that the global use of AI could require as much fresh water in 2027 as that now used by four to six countries the size of Denmark.

Driving the data center construction is money. Today’s stock market rewards companies that say they are investing in AI. Electric utilities profit as power use rises. And local governments benefit from the property taxes paid by data centers.

Transmission lines are reflected on the side of a building.

Transmission lines are reflected on the side of the NTT data center in Santa Clara.

(Paul Kuroda / For The Times)

Silicon Valley is the world’s epicenter of AI, with some of the biggest developers headquartered there, including Alphabet, Apple and Meta. OpenAI, the creator of ChatGPT, is based in San Francisco. Nvidia, the maker of chips needed for AI, operates from Santa Clara.

The big tech companies leading in AI, which also include Microsoft and Amazon, are spending billions to build new data centers around the world. They are also paying to rent space for their servers in so-called co-location data centers built by other companies.

In a Chicago suburb, a developer recently bought 55 homes so they could be razed to build a sprawling data center campus.

Energy officials in northern Virginia, which has more data centers than any other region in the world, have proposed a transmission line to shore up the grid that would depend on coal plants that had been expected to be shuttered.

In Oregon, Google and the city of The Dalles fought for 13 months to prevent the Oregonian from getting records of how much water the company’s data centers were consuming. The newspaper won the court case, learning the facilities drank up 29% of the city’s water.

By 2030, data centers could account for as much as 11% of U.S. power demand — up from 3% now, according to analysts at Goldman Sachs.

“We must demand more efficient data centers or else their continued growth will place an unsustainable strain on energy resources, impact new home building, and increase both carbon emissions and California residents’ cost of electricity,” wrote Charles Giancarlo, chief executive of the Santa Clara IT firm Pure Storage.

Santa Clara a top market for data centers

Boys ride their bikes on Main Street near a large data center in Santa Clara.

(Paul Kuroda / For The Times)

California has more than 270 data centers, with the biggest concentration in Santa Clara. The city is an attractive location because its electric rates are 40% lower than those charged by PG&E.

But the lower rates come with a higher cost to the climate. The city’s utility, Silicon Valley Power, emits more greenhouse gas than the average California electric utility because 23% of its power for commercial customers comes from gas-fired plants. Another 35% is purchased on the open market where the electricity’s origin can’t be traced.

The utility also gives data centers and other big industrial customers a discount on electric rates.

While Santa Clara households pay more for each kilowatt hour beyond a certain threshold, the rate for data centers declines as they use more power.

The city receives millions of dollars of property taxes from the data centers. And 5% of the utility’s revenue goes to the city’s general fund, where it pays for services such as road maintenance and police.

An analysis last year by the Silicon Valley Voice newspaper questioned the lower rates data centers pay compared with residents.

“What impetus do Santa Clarans have to foot the bill for these environmentally unfriendly behemoth buildings?” wrote managing editor Erika Towne.

In October, Manuel Pineda, the utility’s top official, told the City Council that his team was working to double power delivery over the next 10 years. “We prioritize growth as a strategic opportunity,” he said.

He said usage by data centers was continuing to escalate, but the utility was nearing its power limit. He said 13 new data centers were under construction and 12 more were moving forward with plans.

“We cannot currently serve all data centers that would like to be in Santa Clara,” he said.

A data center rises many stories into the sky.

Dozens of data centers have been built for artificial intelligence and the internet in Santa Clara.

(Paul Kuroda / For The Times)

To accommodate increasing power use, the city is now spending heavily on transmission lines, substations and other infrastructure. At the same time, electric rates are rising. Rates had been increasing by 2% to 3% a year, but they jumped by 8% in January 2023, another 5% in July 2023 and 10% last January.

Pineda told The Times that it wasn’t just the new infrastructure that pushed rates up. The biggest factor, he said, was a spike in natural gas prices in 2022, which increased power costs.

He said residential customers pay higher rates because the distribution system to homes requires more poles, wires and transformers than the system serving data centers, which increases maintenance costs.

Pineda said the city’s decisions to approve new data centers “are generally based on land use factors, not on revenue generation.”

Loretta Lynch, former chair of the state’s public utilities commission, noted that big commercial customers such as data centers pay lower rates for electricity across the state. That means when transmission lines and other infrastructure must be built to handle the increasing power needs, residential customers pick up more of the bill.

“Why aren’t data centers paying their fair share for infrastructure? That’s my question,” she said.

PG&E eyes profits from boom

The grid’s limited capacity has not stopped PG&E from wooing companies that want to build data centers.

“I think we will definitely be one of the big ancillary winners of the demand growth for data centers,” Patricia Poppe, PG&E’s chief executive, told Wall Street analysts on an April conference call.

Poppe said she recently invited the company’s tech customers to an event at a San José substation.

“When I got there, I was pleasantly surprised to see AWS, Microsoft, Apple, Google, Equinix, Cisco, Western Digital Semiconductors, Tesla, all in attendance. These are our customers that we serve who want us to serve more,” she said on the call. “They were very clear: they would build … if we can provide.”

In June, PG&E revealed it had received 26 applications for new data centers, including three that need at least 500 megawatts of power, 24 hours a day. In all, the proposed data centers would use 3.5 gigawatts. That amount of power could support nearly 5 million homes, based on the average usage of a California household of 6,174 kilowatts a year.

In the June presentation, PG&E said the new data centers would require it to spend billions of dollars on new infrastructure.

Already PG&E can’t keep up with connecting customers to the grid. It has fallen so far behind on connecting new housing developments that last year legislators passed a law to try to shorten the delays. At that time, the company told Politico that the delays stemmed from rising electricity demand, including from data centers.

In a statement to The Times, PG&E said its system was “ready for data centers.”

The company said its analysis showed that adding the data centers would not increase bills for other customers.

Most of the year, excluding extreme hot weather, its grid “is only 45% utilized on average,” the company said.

“Data centers’ baseload will enable us to utilize more of this percentage and deliver more per customer dollar,” the company said. “For every 1,000 MW load from data centers we anticipate our customers could expect 1-2% saving on their monthly electricity bill.”

The company added that it was “developing tools to ensure that every customer can cost-effectively connect new loads to the system with minimal delay.”

Lynch questioned the company’s analysis that adding data centers could reduce bills for other customers. She pointed out that utilities earn profits by investing in new infrastructure. That’s because they get to recover that cost — plus an annual rate of return — through rates billed to all customers.

“The more they spend, the more they make,” she said.

In the desert, cheap land and green energy

Dusk settles over the low Salton Sea.

A geothermal plant viewed from across the Salton Sea in December 2022.

(Gina Ferazzi / Los Angeles Times)

The power and land constraints in Santa Clara and other cities have data center developers looking for new frontiers.

“On the edge of the Southern California desert in Imperial County sits an abundance of land,” begins the sales brochure for the data center that a company called CalEthos is building near the south shore of the Salton Sea.

Electricity for the data center’s servers would come from the geothermal and solar plants built near the site in an area that has become known as Lithium Valley.

The company is negotiating to purchase as much as 500 megawatts of power, the brochure said.

Water for the project would come from the state’s much fought over allotment from the Colorado River.

Imperial County is one of California’s poorest counties. More than 80% of its population are Latino. Many residents are farmworkers.

Executives from Tustin-based CalEthos told The Times that by using power from the nearby geothermal plants it would help the local community.

“By creating demand for local energy, CalEthos will help accelerate the development of Lithium Valley and its associated economic benefits,” Joel Stone, the company’s president, wrote in an email.

“We recognize the importance of responsible energy and water use in California,” Stone said. “Our data centers will be designed to be as efficient as possible.”

For example, Stone said that in order to minimize water use, CalEthos plans a cooling system where water is recirculated and “requires minimal replenishment due to evaporation.”

Already, a local community group, Comite Civico del Valle, has raised concerns about the environmental and health risks of one of the nearby geothermal plants that plans to produce lithium from the brine brought up in the energy production process.

One of the group’s concerns about the geothermal plant is that its water use will leave less to replenish the Salton Sea. The lake has been decreasing in size, creating a larger dry shoreline that is laden with bacteria and chemicals left from decades of agricultural runoff. Scientists have tied the high rate of childhood asthma in the area to dust from the shrinking lake’s shores.

James Blair, associate professor of geography and anthropology at Cal Poly Pomona, questioned whether the area was the right place for a mammoth data center.

“Data centers drain massive volumes of energy and water for chillers and cooling towers to prevent servers from overheating,” he said.

Blair said that while the company can tell customers its data center is supported by environmentally friendly solar and geothermal power, it will take that renewable energy away from the rest of California’s grid, making it harder for the state to meet its climate goals.

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How Mississippians Can Intervene in Natural Gas Pipeline Proposal

Mississippi residents can comment on a proposal for a natural gas pipeline that would span nearly the full width of the state

Mississippians have until Tuesday to intervene in a proposal for a natural gas pipeline that would span nearly the full width of the state.The pipeline, called the “Mississippi Crossing Project,” would start in Greenville, cross through Humphreys, Holmes, Attala, Leake, Neshoba, Newton, Lauderdale and Clarke counties and end near Butler, Alabama, stretching nearly 208 miles.Tennessee Gas Pipeline Co., a subsidiary of Kinder Morgan, sent an application for the project to the Federal Energy Regulatory Commission on June 30. The company hopes the pipeline, which would transfer up to 12 billion cubic feet of natural gas per day, will address a rising energy demand by increasing its transportation capacity.Kinder Morgan says on its website that, should it receive approval, construction would begin at the end of 2027 and the pipeline would begin service in November 2028. The company says the project would cost $1.7 billion and create 750 temporary jobs as well as 15 permanent positions.The project would also include new compressor stations in Humphreys, Attala and Lauderdale counties, although exact locations haven’t been set.Singleton Schreiber, a national law firm that focuses on environmental justice, is looking to spread awareness of the public’s ability to participate in the approval process, whether or not they support the proposal.“We’re just trying to raise awareness to make sure that people know this is happening,” said Laura Singleton, an attorney with the firm. “They’re going to have to dig and construct new pipelines, so it’s going to pass through sensitive ecosystems like wetlands, private property, farmland, things like that. So you can have issues that come up like soil degradation, water contamination, and then after the pipeline is built you could potentially have leaks, spills.”Singleton added while such issues with pipelines are rare, when “things go bad, they go pretty bad.”To comment, protest, or file a motion to intervene, the public can go to FERC’s website (new users have to create an account, and then use the docket number “CP25-514-000”). The exact deadline is 4 p.m. on Aug. 5. More instructions can also be found here.In addition to FERC, the proposal will also face review from the U.S. Army Corps of Engineers, U.S. Fish and Wildlife Service, National Park Service and the state environmental agencies in Mississippi and Alabama.Mississippians have seen multiple incidents related to gas leaks in recent years. In March, three workers were injured after accidentally rupturing an Atmos Energy pipeline doing routine maintenance in Lee County, leaving thousands without service. Then last year, the National Transportation Safety Board found that Atmos discovered gas leaks over a month prior to two explosions in Jackson, one of which claimed the life of an 82-year-old woman.This story was originally published by Mississippi Today and distributed through a partnership with The Associated Press.Copyright 2025 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.Photos You Should See - June 2025

BPA faces suit over energy market decision that opponents say would raise rates

The lawsuit comes after governors, lawmakers, utility regulators and renewable energy proponents in the region unsuccessfully pressed the BPA to reconsider its plans.

Five energy and conservation nonprofits are suing the Bonneville Power Administration over its decision to join a new energy trading market, claiming it will raise electricity and transmission costs in Oregon and across the region. The lawsuit, filed Thursday in the 9th U.S. Circuit Court of Appeals, alleges that BPA’s move violates the Northwest Power Act and the National Environmental Policy Act and will also weaken energy grid reliability and reduce access to clean energy. BPA, the Northwest’s largest transmission grid operator, in May announced it would join the Arkansas-based Southwest Power Pool day-ahead market known as “Markets Plus” instead of joining California’s day-ahead market. The Southwest market is smaller with fewer electrical generation resources, experts say. Prior to that decision, Pacific Northwest governors, lawmakers, utility regulators and renewable energy proponents had pressed the BPA for months to reconsider its plans, which the agency initially announced in March.The nonprofits involved in the legal challenge are the Oregon Citizens’ Utility Board, a watchdog organization that advocates for utility customers; national environmental group the Sierra Club; the Montana Environmental Information Center, which promotes clean energy; the Idaho Conservation League, a natural landscape conservation group; and the NW Energy Coalition, which promotes affordable energy policies. The groups, represented by San Francisco-based environmental law nonprofit Earthjustice, want the court to vacate BPA’s decision, require the agency to prepare an environmental impact statement and rescind the financial commitments already made to the Southwest energy market.The BPA’s spokesperson Nick Quinata declined to comment on the pending litigation. Previously, the agency said the Southwest day-ahead market is superior to the California one because it would allow BPA to remain more independent due to its market design and governance structure. BPA, part of the U.S. Department of Energy, markets hydropower from 31 federal dams in the Columbia River Basin and supplies a third of the Northwest’s electricity, most of it to publicly owned rural utilities and electric cooperatives. It also owns and operates 15,000 miles – 75% – of the Northwest’s high-voltage transmission lines. Nearly every electric utility in Oregon benefits from either the clean hydroelectricity or the transmission lines controlled by BPA. BPA’s decision sets the stage for having two energy markets across the West.The lawsuit says that will likely lead to rising prices and blackouts during periods of high electricity demand because of the complexity of transmitting power across boundaries between different utilities and the agreements required for such transfers. Oregon’s two largest utilities, investor-owned Portland General Electric and Pacific Power, have both signed agreements to join California’s day-ahead market instead. They, too, have argued that once BPA leaves the Western market, the available energy they can purchase would diminish and become more expensive, leading to higher prices for customers across the region.Regional electricity providers also may have to construct additional power generation facilities, increase operation of existing facilities or both, to make up for BPA’s participation in a smaller and less efficient energy market, the suit contends. It could also increase reliance on generation resources powered by fossil fuels such as coal or natural gas plants because clean energy isn’t as widely available in the smaller Southwest market, the suit says. The Northwest Power Act, passed by Congress in the 1980s, requires BPA to provide low-cost power to the region while encouraging renewable energy, conservation and protection of fish and wildlife.BPA violated those duties when it chose the Southwest market option, according to the lawsuit. The groups also allege BPA’s market choice could harm fish and wildlife in the Columbia basin because it could alter the operation of the federal hydroelectric dams from which Bonneville markets power. The lawsuit claims BPA failed to comply with federal environmental law by not conducting any environmental impact analysis on impacts to fish and wildlife before making its decision. The Citizens’ Utility Board, a party to the lawsuit, said it hoped the BPA reverses course – otherwise its decision will splinter the West’s electricity markets, costing utility customers billions of dollars at a time when many are already dealing with skyrocketing bills.The board, as well as other critics of BPA’s decision, have pointed to an initiative developing an independent governance structure for California’s day-ahead market.“Oregon is facing overlapping energy challenges: rising utility bills, rising electricity demand from data centers, and stalling progress on meeting clean energy requirements. The last thing we need is for one of our region’s largest clean energy suppliers to reduce ties with the Pacific Northwest,” said the group’s spokesperson Charlotte Shuff. — Gosia Wozniacka covers environmental justice, climate change, the clean energy transition and other environmental issues. Reach her at gwozniacka@oregonian.com or 971-421-3154.If you purchase a product or register for an account through a link on our site, we may receive compensation. By using this site, you consent to our User Agreement and agree that your clicks, interactions, and personal information may be collected, recorded, and/or stored by us and social media and other third-party partners in accordance with our Privacy Policy.

States, enviro groups fight Trump plan to keep dirty power plants going

In late spring, the Department of Energy ordered two aging and costly fossil-fueled power plants that were on the verge of shutting down to stay open. The agency claimed that the moves were necessary to prevent the power grid from collapsing — and that it has the power to force the plants to stay open even if the…

In late spring, the Department of Energy ordered two aging and costly fossil-fueled power plants that were on the verge of shutting down to stay open. The agency claimed that the moves were necessary to prevent the power grid from collapsing — and that it has the power to force the plants to stay open even if the utilities, state regulators, and grid operators managing them say that no such emergency exists. But state regulators, regional grid operators, environmental groups, and consumer groups are pushing back on the notion that the grids in question even need these interventions — and are challenging the legality of the DOE’s stay-open orders. The DOE claimed that the threat of large-scale grid blackouts forced its hand. But state utility regulators, environmental groups, consumer advocates, and energy experts say that careful analysis from the plant’s owners, state regulators, regional grid operators, and grid reliability experts had determined both plants could be safely closed. These groups argue that clean energy, not fossil fuels, are the true solution to the country’s grid challenges — even if the ​“big, beautiful” bill signed by Trump last week will make those resources more expensive to build. Some of the environmental organizations challenging DOE’s orders have pledged to take their case to federal court if necessary. “We need to get more electrons on the grid. We need those to be clean, reliable, and affordable,” said Robert Routh, Pennsylvania climate and energy policy director for the Natural Resources Defense Council, one of the groups demanding that DOE reconsider its orders. Keeping J.H. Campbell and Eddystone open ​“results in the exact opposite. It’s costly, harmful, unnecessary, and unlawful.” Taking on the DOE’s grid emergency claims The groups challenging the DOE’s J.H. Campbell and Eddystone stay-open orders point out that the agency is using a power originally designed to protect the grid against unanticipated emergencies, including during wartime, but without proving that such an emergency is underway. “This authority that the Department of Energy is acting under — Section 202(c) of the Federal Power Act — is a very tailored emergency authority,” said Caroline Reiser, NRDC senior attorney for climate and energy. ​“Congress intentionally wrote it only to be usable in specific, narrow, short-term emergencies. This is not that.” For decades, the DOE has used its Section 202(c) power sparingly, and only in response to requests from utilities or grid operators to waive federal air pollution regulations or other requirements in moments when the grid faces imminent threats like widespread power outages, Reiser said. But DOE’s orders for Eddystone and J.H. Campbell were not spurred by requests from state regulators or regional grid operators. In fact, the orders caught those parties by surprise. They also came mere days before the plants were set to close down and after years of effort to ensure their closure wouldn’t threaten grid reliability. J.H. Campbell was scheduled to close in May under a plan that has been in the works since 2021 as part of a broader agreement between utility Consumers Energy and state regulators, and which was approved by the Midcontinent Independent System Operator (MISO), the entity that manages grid reliability across Michigan and 14 other states. “The plant is really old, unreliable, extremely polluting, and extremely expensive,” Reiser said. ​“Nobody is saying that this plant is needed or is going to be beneficial for any reliability purposes.” To justify its stay-open order, DOE cited reports from the North American Electric Reliability Corp. (NERC), a nonprofit regulatory authority that includes utilities and grid operators in the U.S. and Canada. NERC found MISO is at higher risk of summertime reliability problems than other U.S. grid regions, but environmental groups argue in their rehearing request that DOE has ​“misrepresented the reports on which it relies,” and that Consumers Energy, Michigan regulators, and MISO have collectively shown closing the plant won’t endanger grid reliability. Eddystone, which had operated only infrequently over the past few years, also went through a rigorous process with mid-Atlantic grid operator PJM Interconnection to ensure its closure wouldn’t harm grid reliability. The DOE’s reason for keeping that plant open is based on a report from PJM that states the grid operator might need to ask utility customers to use less power if it faces extreme conditions this summer — an even scantier justification than what the agency cited in its J.H. Campbell order, Reiser said. As long as the DOE continues to take the position that it can issue emergency stay-open orders to any power plant it decides to, these established methods for managing plant closures and fairly allocating costs will be thrown into disarray, she said. “We have a system of competitive energy markets in the United States that is successful in keeping the lights on and maintaining reliability the vast, vast majority of the time,” Reiser said. ​“The Department of Energy stepping in and using a command-and-control system interferes with those markets.”

Designing a new way to optimize complex coordinated systems

Using diagrams to represent interactions in multipart systems can provide a faster way to design software improvements.

Coordinating complicated interactive systems, whether it’s the different modes of transportation in a city or the various components that must work together to make an effective and efficient robot, is an increasingly important subject for software designers to tackle. Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal better approaches to software optimization in deep-learning models.They say the new method makes addressing these complex tasks so simple that it can be reduced to a drawing that would fit on the back of a napkin.The new approach is described in the journal Transactions of Machine Learning Research, in a paper by incoming doctoral student Vincent Abbott and Professor Gioele Zardini of MIT’s Laboratory for Information and Decision Systems (LIDS).“We designed a new language to talk about these new systems,” Zardini says. This new diagram-based “language” is heavily based on something called category theory, he explains.It all has to do with designing the underlying architecture of computer algorithms — the programs that will actually end up sensing and controlling the various different parts of the system that’s being optimized. “The components are different pieces of an algorithm, and they have to talk to each other, exchange information, but also account for energy usage, memory consumption, and so on.” Such optimizations are notoriously difficult because each change in one part of the system can in turn cause changes in other parts, which can further affect other parts, and so on.The researchers decided to focus on the particular class of deep-learning algorithms, which are currently a hot topic of research. Deep learning is the basis of the large artificial intelligence models, including large language models such as ChatGPT and image-generation models such as Midjourney. These models manipulate data by a “deep” series of matrix multiplications interspersed with other operations. The numbers within matrices are parameters, and are updated during long training runs, allowing for complex patterns to be found. Models consist of billions of parameters, making computation expensive, and hence improved resource usage and optimization invaluable.Diagrams can represent details of the parallelized operations that deep-learning models consist of, revealing the relationships between algorithms and the parallelized graphics processing unit (GPU) hardware they run on, supplied by companies such as NVIDIA. “I’m very excited about this,” says Zardini, because “we seem to have found a language that very nicely describes deep learning algorithms, explicitly representing all the important things, which is the operators you use,” for example the energy consumption, the memory allocation, and any other parameter that you’re trying to optimize for.Much of the progress within deep learning has stemmed from resource efficiency optimizations. The latest DeepSeek model showed that a small team can compete with top models from OpenAI and other major labs by focusing on resource efficiency and the relationship between software and hardware. Typically, in deriving these optimizations, he says, “people need a lot of trial and error to discover new architectures.” For example, a widely used optimization program called FlashAttention took more than four years to develop, he says. But with the new framework they developed, “we can really approach this problem in a more formal way.” And all of this is represented visually in a precisely defined graphical language.But the methods that have been used to find these improvements “are very limited,” he says. “I think this shows that there’s a major gap, in that we don’t have a formal systematic method of relating an algorithm to either its optimal execution, or even really understanding how many resources it will take to run.” But now, with the new diagram-based method they devised, such a system exists.Category theory, which underlies this approach, is a way of mathematically describing the different components of a system and how they interact in a generalized, abstract manner. Different perspectives can be related. For example, mathematical formulas can be related to algorithms that implement them and use resources, or descriptions of systems can be related to robust “monoidal string diagrams.” These visualizations allow you to directly play around and experiment with how the different parts connect and interact. What they developed, he says, amounts to “string diagrams on steroids,” which incorporates many more graphical conventions and many more properties.“Category theory can be thought of as the mathematics of abstraction and composition,” Abbott says. “Any compositional system can be described using category theory, and the relationship between compositional systems can then also be studied.” Algebraic rules that are typically associated with functions can also be represented as diagrams, he says. “Then, a lot of the visual tricks we can do with diagrams, we can relate to algebraic tricks and functions. So, it creates this correspondence between these different systems.”As a result, he says, “this solves a very important problem, which is that we have these deep-learning algorithms, but they’re not clearly understood as mathematical models.” But by representing them as diagrams, it becomes possible to approach them formally and systematically, he says.One thing this enables is a clear visual understanding of the way parallel real-world processes can be represented by parallel processing in multicore computer GPUs. “In this way,” Abbott says, “diagrams can both represent a function, and then reveal how to optimally execute it on a GPU.”The “attention” algorithm is used by deep-learning algorithms that require general, contextual information, and is a key phase of the serialized blocks that constitute large language models such as ChatGPT. FlashAttention is an optimization that took years to develop, but resulted in a sixfold improvement in the speed of attention algorithms.Applying their method to the well-established FlashAttention algorithm, Zardini says that “here we are able to derive it, literally, on a napkin.” He then adds, “OK, maybe it’s a large napkin.” But to drive home the point about how much their new approach can simplify dealing with these complex algorithms, they titled their formal research paper on the work “FlashAttention on a Napkin.”This method, Abbott says, “allows for optimization to be really quickly derived, in contrast to prevailing methods.” While they initially applied this approach to the already existing FlashAttention algorithm, thus verifying its effectiveness, “we hope to now use this language to automate the detection of improvements,” says Zardini, who in addition to being a principal investigator in LIDS, is the Rudge and Nancy Allen Assistant Professor of Civil and Environmental Engineering, and an affiliate faculty with the Institute for Data, Systems, and Society.The plan is that ultimately, he says, they will develop the software to the point that “the researcher uploads their code, and with the new algorithm you automatically detect what can be improved, what can be optimized, and you return an optimized version of the algorithm to the user.”In addition to automating algorithm optimization, Zardini notes that a robust analysis of how deep-learning algorithms relate to hardware resource usage allows for systematic co-design of hardware and software. This line of work integrates with Zardini’s focus on categorical co-design, which uses the tools of category theory to simultaneously optimize various components of engineered systems.Abbott says that “this whole field of optimized deep learning models, I believe, is quite critically unaddressed, and that’s why these diagrams are so exciting. They open the doors to a systematic approach to this problem.”“I’m very impressed by the quality of this research. ... The new approach to diagramming deep-learning algorithms used by this paper could be a very significant step,” says Jeremy Howard, founder and CEO of Answers.ai, who was not associated with this work. “This paper is the first time I’ve seen such a notation used to deeply analyze the performance of a deep-learning algorithm on real-world hardware. ... The next step will be to see whether real-world performance gains can be achieved.”“This is a beautifully executed piece of theoretical research, which also aims for high accessibility to uninitiated readers — a trait rarely seen in papers of this kind,” says Petar Velickovic, a senior research scientist at Google DeepMind and a lecturer at Cambridge University, who was not associated with this work. These researchers, he says, “are clearly excellent communicators, and I cannot wait to see what they come up with next!”The new diagram-based language, having been posted online, has already attracted great attention and interest from software developers. A reviewer from Abbott’s prior paper introducing the diagrams noted that “The proposed neural circuit diagrams look great from an artistic standpoint (as far as I am able to judge this).” “It’s technical research, but it’s also flashy!” Zardini says.

The UK Says at an Energy Summit That Green Power Will Boost Security, as the US Differs

Britain has announced a major investment in wind power as it hosts an international summit on energy security

LONDON (AP) — Britain announced a major investment in wind power Thursday as it hosted an international summit on energy security — with Europe and the United States at odds over whether to cut their reliance on fossil fuels.U.K. Prime Minister Keir Starmer said the government will invest 300 million pounds ($400 million) in boosting Britain’s capacity to manufacture components for the offshore wind industry, a move it hopes will encourage private investment in the U.K.’s renewable energy sector.“As long as energy can be weaponized against us, our countries and our citizens are vulnerable and exposed,” U.K. Energy Secretary Ed Miliband told delegates.He said “low-carbon power” was a route to energy security as well as a way to slow climate change.Britain now gets more than half its electricity from renewable sources such as wind and solar power, and the rest from natural gas and nuclear energy. It aims to generate all the U.K.’s energy from renewable sources by 2030.Tommy Joyce, U.S. acting assistant secretary of energy for international affairs, told participants they should be “honest about the world’s growing energy needs, not focused on net-zero politics.”He called policies that push for clean power over fossil fuels "harmful and dangerous," and claimed building wind turbines requires "concessions to or coercion from China" because it supplies necessary rare minerals.Hosted by the British government and the International Energy Agency, the two-day summit brings together government ministers from 60 countries, senior European Union officials, energy sector CEOs, heads of international organizations and nonprofits to assess risks to the global energy system and figure out solutions. Associated Press writer Jennifer McDermott contributed to this story. ___The Associated Press’ climate and environmental coverage receives financial support from multiple private foundations. AP is solely responsible for all content. Find AP’s standards for working with philanthropies, a list of supporters and funded coverage areas at AP.org.Copyright 2025 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.Photos You Should See - Feb. 2025

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