Ohio to give wind, solar power grants for homes

FirstEnergy Nuclear Plant Closures threaten Ohio and Pennsylvania jobs, tax revenue, and grid stability, as Nuclear Matters and Brattle Group warn of higher carbon emissions and market pressures from PJM and cheap natural gas.

Key Points

Planned shutdowns of Davis-Besse, Perry, and Beaver Valley, with regional economic and carbon impacts.

✅ Over 3,000 direct jobs and local tax revenue at risk

✅ Emissions may rise until renewables scale, possibly into 2034

✅ Debate over subsidies, market design, and PJM capacity rules

A national nuclear lobby wants to remind people what's at stake for Ohio and Pennsylvania if FirstEnergy Solutions follows through with plans to shut down three nuclear plants over the next three years, including its Davis-Besse nuclear plant east of Toledo.

A report issued Monday by Nuclear Matters largely echoes concerns raised by FES, a subsidiary of FirstEnergy Corp., and other supporters of nuclear power about economic and environmental hardships and brownout risks that will likely result from the planned closures.

Along with Davis-Besse, Perry nuclear plant east of Cleveland and the twin-reactor Beaver Valley nuclear complex west of Pittsburgh are slated to close.

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"If these plants close, the livelihoods of thousands of Ohio and Pennsylvania residents will disappear. The over 3,000 highly skilled individuals directly employed by these sites will leave to seek employment at other facilities still operating around the country," Lonnie Stephenson, International Brotherhood of Electrical Workers president, said in a statement distributed by Nuclear Matters. Mr. Stephenson also serves on the Nuclear Matters advocacy council.

This new report and others like it are part of an extensive campaign by nuclear energy advocates to court state and federal legislators one more time for tens of millions of dollars of financial support or at least legislation that better suits the nuclear industry. Critics allege such pleas amount to a request for massive government bailouts, arguing that deregulated electricity markets should not subsidize nuclear.

The latest report was prepared for Nuclear Matters by the Brattle Group, a firm that specializes in analyzing economic, finance, and regulatory issues for corporations, law firms, and governments.

"These announced retirements create a real urgency to learn what would happen if these plants are lost," Dean Murphy, the Brattle report's lead author, said.

More than 3,000 jobs would be lost, as would millions of dollars in tax revenue. It also could take as long as 2034 for the region's climate-altering carbon emissions to be brought back down to existing levels, based on current growth projections for solar- and wind-powered projects, and initiatives such as ending coal by 2032 by some utilities, Mr. Murphy said.

His group's report only takes into account nuclear plant operations, though. Many of those who oppose nuclear power have long pointed out that mining uranium for nuclear plant fuel generates substantial emissions, as does the process of producing steel cladding for fuel bundles and the enrichment-production of that fuel. Still, nuclear has ranked among the better performers in reports that have taken such a broader look at overall emissions.

FES has accused the regional grid operator, PJM Interconnection, of creating market conditions that favor natural gas and, thus, make it almost impossible for nuclear to compete throughout its 13-state region, a debate intensified by proposed electricity pricing changes at the federal level.

PJM has strongly denied those accusations, and has said it anticipates no shortfalls in energy distribution if those nuclear plants close prematurely, even as a recent FERC decision on grid policy drew industry criticism.

FES, citing massive losses, has filed for Chapter 11 bankruptcy. The target dates for closures of the FES properties are May 31, 2020 for Davis-Besse; May 31, 2021 for Perry and Beaver Valley Unit 1, and Oct. 31, 2021 for Beaver Valley Unit 2.

In addition to the three FES sites, the report includes information about the Three Mile Island Unit 1 plant near Harrisburg, Pa., which Chicago-based Exelon Generation Corp. has previously announced will be shut down in 2019. That plant and others are experiencing similar difficulties the FES plants face by competing in a market radically changed by record-low natural gas prices.

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Australia Clean Energy Target drives renewables in the National Electricity Market, with RepuTex modelling and the Finkel Review showing lower wholesale prices and emissions as gas generators set prices less often under ambitious targets.

Key Points

Policy boosting low emissions generation to cut electricity emissions and lower wholesale prices across Australia.

✅ Ambitious targets lower wholesale prices through added generation

✅ RepuTex modelling shows renewables displace costly gas peakers

✅ Finkel Review suggests CET cuts emissions and boosts reliability

The more ambitious a clean energy target is, the lower Australian wholesale electricity prices will be, according to new modelling by energy analysis firm RepuTex.

The Finkel review, released last month recommended the government introduce a clean energy target (CET), which it found would cut emissions from the national electricity market and put downward pressure on both wholesale and retail prices, aligning with calls to favor consumers over generators in market design.

The Finkel review only modelled a CET that would cut emissions from the electricity sector by 28% below 2005 levels by 2030. But all available analysis has demonstrated that such a cut would not be enough to meet Australia’s overall emissions reductions made as part of the Paris agreement, which themselves were too weak to help meet the central aim of that agreement – to keep global warming to “well below 2C”.

RepuTex modelled the effect of a CET that cut emissions from the electricity sector by 28% – like that modelled in the Finkel Review – as well as one it said was consistent with 2C of global warming, which would cut emissions from electricity by 45% below 2005 levels by 2030.

It found both scenarios caused wholesale prices to drop significantly compared to doing nothing, despite IEA warnings on falling energy investment that could lead to shortages, with the more ambitious scenario resulting in lower wholesale prices between 2025 and 2030.

In the “business as usual scenario”, RepuTex found wholesale prices would hover roughly around the current price of $100 per MWh.

Under a CET that reduced electricity emissions by 28%, prices would drop to under $40 around 2023, and then rise to nearly $60 by 2030.

The more ambitious CET had a broadly similar effect on wholesale prices. But RepuTex found it would drive prices down a little slower, but then keep them down for longer, stabilising at about $40 to $50 for most of the 2020s.

It found a CET would drive prices down by incentivising more generation into the market. The more ambitious CET would further suppress prices by introducing more renewable energy, resulting in expensive gas generators less often being able to set the price of electricity in the wholesale market, a dynamic seen with UK natural gas price pressures recently.

The downward pressure of a CET on wholesale prices was more dramatic in the RepuTex report than in Finkel’s own modelling. But that was largely because, as Alan Finkel himself acknowledged, the estimates of the costs of renewable energy in the Finkel review modelling were conservative.

Speaking at the National Press Club, Finkel said: “We were conservative in our estimates of wind and large-scale solar generator prices. Indeed, in recent months the prices for wind generation have already come in lower than what we modelled.”

The RepuTex modelling also found the economics of the national electricity market no longer supported traditional baseload generation – such as coal power plants that were unable to respond flexibly to demand, with debates over power market overhauls in Alberta underscoring similar tensions – and so they would not be built without the government distorting the market.

“With a premium placed on flexible generation that can ramp up or down, baseload only generation – irrespective of how clean or dirty it is – is likely to be too inflexible to compete in Australia’s future electricity system,” the report said.

“In this context, renewable energy remains attractive to the market given it is able to deliver energy reliability, with no emissions, at low cost prices, with clean grid and battery trends in Canada informing the shift for policymakers. This affirms that renewables are a lay down misere to out-compete traditionally fossil-fuel sources in Australia for the foreseeable future.”

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California Battery Storage is transforming grid reliability as distributed energy, solar-plus-storage, and demand response mitigate rolling blackouts, replace peaker plants, and supply flexible capacity during heat waves and evening peaks across utilities and homes.

Key Points

California Battery Storage uses distributed and utility batteries to stabilize power, shift solar, and curb blackouts.

✅ Supplies flexible capacity during peak demand and heat waves

✅ Enables demand response and replaces gas peaker plants

✅ Aggregated assets form virtual power plants for grid support

Last month as a heat wave slammed California, state regulators sent an email to a group of energy executives pleading for help to keep the lights on statewide. “Please consider this an urgent inquiry on behalf of the state,” the message said.

The manager of the state’s grid was struggling to increase the supply of electricity because power plants had unexpectedly shut down and demand was surging. The imbalance was forcing officials to order rolling blackouts across the state for the first time in nearly two decades.

What was unusual about the emails was whom they were sent to: people who managed thousands of batteries installed at utilities, businesses, government facilities and even homes. California officials were seeking the energy stored in those machines to help bail out a poorly managed grid and reduce the need for blackouts.

Many energy experts have predicted that batteries could turn homes and businesses into mini-power plants that are able to play a critical role in the electricity system. They could soak up excess power from solar panels and wind turbines and provide electricity in the evenings when the sun went down or after wildfires and hurricanes, which have grown more devastating because of climate change in recent years. Over the next decade, the argument went, large rows of batteries owned by utilities could start replacing power plants fueled by natural gas.

But that day appears to be closer than earlier thought, at least in California, which leads the country in energy storage. During the state’s recent electricity crisis, more than 30,000 batteries supplied as much power as a midsize natural gas plant. And experts say the machines, which range in size from large wall-mounted televisions to shipping containers, will become even more important because utilities, businesses and homeowners are investing billions of dollars in such devices.

“People are starting to realize energy storage isn’t just a project or two here or there, it’s a whole new approach to managing power,” said John Zahurancik, chief operating officer at Fluence, which makes large energy storage systems bought by utilities and large businesses. That’s a big difference from a few years ago, he said, when electricity storage was seen as a holy grail — “perfect, but unattainable.”

On Friday, Aug. 14, the first day California ordered rolling blackouts, Stem, an energy company based in the San Francisco Bay Area, delivered 50 megawatts — enough to power 20,000 homes — from batteries it had installed at businesses, local governments and other customers. Some of those devices were at the Orange County Sanitation District, which installed the batteries to reduce emissions by making it less reliant on natural gas when energy use peaks.

John Carrington, Stem’s chief executive, said his company would have provided even more electricity to the grid had it not been for state regulations that, among other things, prevent businesses from selling power from their batteries directly to other companies.

“We could have done two or three times more,” he said.

The California Independent System Operator, which manages about 80 percent of the state’s grid, has blamed the rolling blackouts on a confluence of unfortunate events, including extreme weather impacts on the grid that limited supply: A gas plant abruptly went offline, a lack of wind stilled thousands of turbines, and power plants in other states couldn’t export enough electricity. (On Thursday, the grid manager urged Californians to reduce electricity use over Labor Day weekend because temperatures are expected to be 10 to 20 degrees above normal.)

But in recent weeks it has become clear that California’s grid managers also made mistakes last month, highlighting the challenge of fixing California’s electric grid in real time, that were reminiscent of an energy crisis in 2000 and 2001 when millions of homes went dark and wholesale electricity prices soared.

Grid managers did not contact Gov. Gavin Newsom’s office until moments before it ordered a blackout on Aug. 14. Had it acted sooner, the governor could have called on homeowners and businesses to reduce electricity use, something he did two days later. He could have also called on the State Department of Water Resources to provide electricity from its hydroelectric plants.

Weather forecasters had warned about the heat wave for days. The agency could have developed a plan to harness the electricity in numerous batteries across the state that largely sat idle while grid managers and large utilities such as Pacific Gas & Electric scrounged around for more electricity.

That search culminated in frantic last-minute pleas from the California Public Utilities Commission to the California Solar and Storage Association. The commission asked the group to get its members to discharge batteries they managed for customers like the sanitation department into the grid. (Businesses and homeowners typically buy batteries with solar panels from companies like Stem and Sunrun, which manage the systems for their customers.)

“They were texting and emailing and calling us: ‘We need all of your battery customers giving us power,’” said Bernadette Del Chiaro, executive director of the solar and storage association. “It was in a very last-minute, herky-jerky way.”

At the time of blackouts on Aug. 14, battery power to the electric grid climbed to a peak of about 147 megawatts, illustrating how virtual power plants can rapidly scale, according to data from California I.S.O. After officials asked for more power the next day, that supply shot up to as much as 310 megawatts.

Had grid managers and regulators done a better job coordinating with battery managers, the devices could have supplied as much as 530 megawatts, Ms. Del Chiaro said. That supply would have exceeded the amount of electricity the grid lost when the natural gas plant, which grid managers have refused to identify, went offline.

Officials at California I.S.O. and the public utilities commission said they were working to determine the “root causes” of the crisis after the governor requested an investigation.

Grid managers and state officials have previously endorsed the use of batteries, using AI to adapt as they integrate them at scale. The utilities commission last week approved a proposal by Southern California Edison, which serves five million customers, to add 770 megawatts of energy storage in the second half of 2021, more than doubling its battery capacity.

And Mr. Zahurancik’s company, Fluence, is building a 400 megawatt-hour battery system at the site of an older natural gas power plant at the Alamitos Energy Center in Long Beach. Regulators this week also approved a plan to extend the life of the power plant, which was scheduled to close at the end of the year, to support the grid.

But regulations have been slow to catch up with the rapidly developing battery technology.

Regulators and utilities have not answered many of the legal and logistical questions that have limited how batteries owned by homeowners and businesses are used. How should battery owners be compensated for the electricity they provide to the grid? Can grid managers or utilities force batteries to discharge even if homeowners or businesses want to keep them charged up for their own use during blackouts?

During the recent blackouts, Ms. Del Chiaro said, commercial and industrial battery owners like Stem’s customers were compensated at the rates similar to those that are paid to businesses to not use power during periods of high electricity demand. But residential customers were not paid and acted “altruistically,” she said.

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Australia electricity grid transition is accelerating as renewables, wind, solar, and storage drive decentralised generation, emissions cuts, and NEM trade shifts, with South Australia becoming a net exporter post-Hazelwood closure and rooftop solar surging.

Key Points

Australia electricity shift to renewables, distributed generation and storage, cutting emissions, reshaping NEM flows.

✅ South Australia now exports power post-Hazelwood closure

✅ Rooftop solar is the fastest-growing NEM generation source

✅ Gas peaking and storage investments balance variable renewables

The politics may not change much, but Australia’s electricity grid is changing before our very eyes – slowly and inevitably becoming more renewable, more decentralised, and in step with Australia's energy transition that is challenging the pre-conceptions of many in the industry.

The latest national emissions audit from The Australia Institute, which includes an update on key electricity trends in the national electricity market, notes some interesting developments over the last three months.

The most surprising of those developments may be the South Australia achievement, which shows that since the closure of the Hazelwood brown coal generator in Victoria in March 2017, and as renewables outpacing brown coal in other markets, South Australia has become a net exporter of electricity, in net annualised terms.

Hugh Saddler, lead author of the study, notes that this is a big change for South Australia, which in 1999 and 2000, when it had only gas and local coal, used to import 30% of its electricity demand.

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The fact that wholesale prices in South Australia were higher in other states – then, as they are now – has nothing to with wind and solar, but the fact that it has no low-cost conventional source and a peaky demand profile (then and now).

“The difference today is that the state is now taking advantage of its abundant resources of wind and solar radiation, and the new technologies which have made them the lowest cost sources of new generation, to supply much of its electricity requirements,” Saddler writes.

Other things to note about the flows between states is that Victoria was about equal on imports and exports with its three neighbouring states, despite the closure of Hazelwood. NSW continues to import around 10% of its needs from cheaper providers in Queensland.

Gas-fired generation had increased in the last year or two in South Australia as a result of the Northern closure, but is still below the levels of a decade ago.

But because it is expensive, this is likely to spur more investment in storage.

As for rooftop solar, Saddler notes that the share of residential solar in the grid is still relatively small but, despite excess solar risks flagged by distributors, it is the most steadily growing generation source in the NEM.

That line is expected to grow steadily. By 2040, or perhaps 2050, the share of distributed generation, which includes rooftop solar, battery storage and demand management, is expected to reach nearly half of all Australia’s grid demand.

Saddler, says, however, that the increase in large-scale solar over the last few months is a significant milestone in Australia’s transition towards clean electricity generation, mirroring trends in India's on-grid solar development seen in recent years. (See very top graph).

“Firstly, they are a concrete demonstration that the construction cost advantage, which wind enjoyed over solar until a year or two ago, is gone.

“From now on we can expect new capacity to be a mix of both technologies. Indeed, the Clean Energy Regulator states that it expects solar to account for half of all (new renewable) capacity by 2020, and the US is moving toward 30% from wind and solar as well.”

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Electricity Grid Flow Prediction leverages big data, machine learning, and weather analytics to forecast power flows across smart grids, enhancing reliability, reducing blackouts and curtailment, and optimizing renewable integration under EU Horizon 2020 innovation.

Key Points

Short-term forecasting of power flows using big data, weather inputs, and machine learning to stabilize smart grids.

✅ Uses big data, weather, and ML for 6-hour forecasts

✅ Improves reliability, cuts blackouts and energy waste

✅ Supports smart grids, renewables, and grid balancing

Three European prediction specialists have won prizes worth €2 million for developing the most accurate predictions of electricity flow through a grid

The three winners of the Big Data Technologies Horizon Prize received their awards at a ceremony on 12th November in Austria.

The first prize of €1.2 million went to Professor José Vilar from Spain, while Belgians Sofie Verrewaere and Yann-Aël Le Borgne came in joint second place and won €400,000 each.

The challenge was open to individuals groups and organisations from countries taking part in the EU’s research and innovation programme, Horizon 2020.

Carlos Moedas, Commissioner for Research, Science and Innovation, said: “Energy is one of the crucial sectors that are being transformed by the digital grid worldwide.

“This Prize is a good example of how we support a positive transformation through the EU’s research and innovation programme, Horizon 2020.

“For the future, we have designed our next programme, Horizon Europe, to put even more emphasis on the merger of the physical and digital worlds across sectors such as energy, transport and health.”

The challenge for the applicants was to create AI-driven software that could predict the likely flow of electricity through a grid taking into account a number of factors including the weather and the generation source (i.e. wind turbines, solar cells, etc).

Using a large quantity of data from electricity grids, EU smart meters, combined with additional data such as weather conditions, applicants had to develop software that could predict the flow of energy through the grid over a six-hour period.

Commissioner for Digital Economy and Society Mariya Gabriel said: “The wide range of possible applications of these winning submissions could bring tangible benefits to all European citizens, including efforts to tackle climate change with machine learning across sectors.”

The decision to focus on energy grids for this particular prize was driven by a clear market need, including expanding HVDC technology capabilities.

Today’s energy is produced at millions of interconnected and dispersed unpredictable sites such as wind turbines, solar cells, etc., so it is harder to ensure that electricity supply matches the demand at all times.

This complexity means that huge amounts of data are produced at the energy generation sites, in the grid and at the place where the energy is consumed.

Being able to make accurate, short-term predictions about power grid traffic is therefore vital to reduce the risks of blackouts or, by enabling utilities to use AI for energy savings, limit waste of energy.

Reliable predictions can also be used in fields such as biology and healthcare. The predictions can help to diagnose and cure diseases as well as to allocate resources where they are most needed.

Ultimately, the winning ideas are set to be picked up by the energy sector in the hopes of creating smarter electricity infrastructure, more economic and more reliable power grids.

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Canada AI Data Center Grid Integration aligns AI demand with renewable energy, energy storage, and grid reliability. It emphasizes transmission upgrades, liquid cooling efficiency, and policy incentives to balance economic growth with sustainable power.

Key Points

Linking AI data centers to Canada's grid with renewables, storage, and efficiency to ensure reliable, sustainable power.

✅ Diversify supply with wind, solar, hydro, and firm low-carbon resources

✅ Deploy grid-scale batteries to balance peaks and enhance reliability

✅ Upgrade transmission, distribution, and adopt liquid cooling efficiency

Artificial intelligence (AI) is revolutionizing various sectors, driving demand for data centers that support AI applications. In Canada, this surge in data center development presents both economic opportunities and challenges for the electricity grid, where utilities using AI to adapt to evolving demand dynamics. Integrating AI-focused data centers into Canada's electricity infrastructure requires strategic planning to balance economic growth with sustainable energy practices.​

Economic and Technological Incentives

Canada has been at the forefront of AI research for over three decades, establishing itself as a global leader in the field. The federal government has invested significantly in AI initiatives, with over $2 billion allocated in 2024 to maintain Canada's competitive edge and to align with a net-zero grid by 2050 target nationwide. Provincial governments are also actively courting data center investments, recognizing the economic and technological benefits these facilities bring. Data centers not only create jobs and stimulate local economies but also enhance technological infrastructure, supporting advancements in AI and related fields.​

Challenges to the Electricity Grid

However, the energy demands of AI data centers pose significant challenges to Canada's electricity grid, mirroring the power challenge for utilities seen in the U.S., as demand rises. The North American Electric Reliability Corporation (NERC) has raised concerns about the growing electricity consumption driven by AI, noting that the current power generation capacity may struggle to meet this increasing demand, while grids are increasingly exposed to harsh weather conditions that threaten reliability as well. This situation could lead to reliability issues, including potential blackouts during peak demand periods, jeopardizing both economic activities and the progress of AI initiatives.​

Strategic Integration Approaches

To effectively integrate AI data centers into Canada's electricity grids, a multifaceted approach is essential:

1. Diversifying Energy Sources: Relying solely on traditional energy sources may not suffice to meet the heightened demands of AI data centers. Incorporating renewable energy sources, such as wind, solar, and hydroelectric power, can provide sustainable alternatives. For instance, Alberta has emerged as a proactive player in supporting AI-enabled data centers, with the TransAlta data centre agreement expected to advance this momentum, leveraging its renewable energy potential to attract such investments.
    

2. Implementing Energy Storage Solutions: Integrating large-scale battery storage systems can help manage the intermittent nature of renewable energy. These systems store excess energy generated during low-demand periods, releasing it during peak times to stabilize the grid. In some communities, AI-driven grid upgrades complement storage deployments to optimize operations, which supports data center needs and community reliability.
    

3. Enhancing Grid Infrastructure: Upgrading transmission and distribution networks is crucial to handle the increased load from AI data centers. Strategic investments in grid infrastructure can prevent bottlenecks and ensure efficient energy delivery, including exploration of macrogrids in Canada to improve regional transfers, supporting both existing and new data center operations.​
    

4. Adopting Energy-Efficient Data Center Designs: Designing data centers with energy efficiency in mind can significantly reduce their power consumption. Innovations such as liquid cooling systems are being explored to manage the heat generated by high-density AI workloads, offering more efficient alternatives to traditional air cooling methods.

5. Establishing Collaborative Policies: Collaboration among government entities, utility providers, and data center operators is vital to align energy policies with technological advancements. Developing regulatory frameworks that incentivize sustainable practices can guide the growth of AI data centers in harmony with grid capabilities.​
    

Integrating AI data centers into Canada's electricity grids presents both significant opportunities and challenges. By adopting a comprehensive strategy that includes diversifying energy sources, implementing advanced energy storage, enhancing grid infrastructure, promoting energy-efficient designs, and fostering collaborative policies, Canada can harness the benefits of AI while ensuring a reliable and sustainable energy future. This balanced approach will position Canada as a leader in both AI innovation and sustainable energy practices.

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