Spain's oldest nuclear plant passes crucial tests

China Nuclear Power Expansion accelerates with reactor approvals, Hualong One and CAP1400 deployments, rising gigawatts, clean energy targets, carbon neutrality goals, and grid reliability benefits to meet coastal demand and reduce emissions.

Key Points

An accelerated reactor buildout to add clean capacity, curb emissions, and improve grid reliability nationwide.

✅ Approvals surge for Hualong One and CAP1400 third-gen reactors

✅ Capacity targets approach 100 GW installed by 2030

✅ Supports carbon neutrality, energy security, and lower costs

While China has failed to accomplish its 2020 nuclear target of 58 gigawatts under operation and 30 GW under construction, insiders are optimistic about prospects for the nonpolluting energy resource in China over the next five years as the country has stepped up nuclear approvals and construction since 2020.

China expects to record 49 operating nuclear facilities and capacity of more than 51 GW as of the end of 2020. Nuclear power currently makes up around 2.4 percent of the country's total installed energy capacity, said the China Nuclear Energy Association. There are 19 facilities that have received approval and are under construction, with capacity exceeding 20 GW, ranking top globally as nuclear project milestones worldwide continue, it said.

"With surging power demand from coastal regions, more domestic technology, including next-gen nuclear, will be adopted with installations likely nearing 100 GW by the end of 2030," said Wei Hanyang, a power market analyst at Bloomberg New Energy.

Following the Fukushima nuclear reactor disaster in 2011 in Japan, China has, like many countries including Japan, Germany and Switzerland, suspended nuclear power project approvals for a period, including construction of the pilot project of Shidaowan nuclear power plant in Shandong province that uses CAP1400 technology, based on third-generation Westinghouse AP1000 reactor technology.

As China promotes greener development and prioritizes safety and security of nuclear power plant construction, it has pledged to hit peak emissions before 2030 and achieve carbon neutrality by 2060, with electricity meeting 60% of energy use by 2060 according to Shell, the Shidaowan plant, originally scheduled to launch construction in 2014 and enter service in 2018, is expected to start fuel loading and begin operations this year.

Joseph Jacobelli, an independent energy analyst and executive vice-president for Asia business at Cenfura Ltd, a smart energy services company, said recent developments confirm China's ongoing commitment to further boost the country's nuclear sector.

"The nuclear plants can help meet China's goal of reducing greenhouse gas emissions as the country reduces coal power production and provide air pollution-free energy at a lower cost to consumers. China's need for clean energy means that nuclear power generation definitely has an important place in the long-term energy mix," Jacobelli said.

He added that Chinese companies' cost control capabilities and technological advancements, and operational performance improvements such as the AP1000 refueling outage record, are also likely to continue providing domestic companies with advantages, as the cost per kilowatt-hour is very important, especially as solar, wind and other clean energy solutions become even cheaper over the next few years.

China approved two nuclear projects in 2020- Hainan Changjiang nuclear power plant unit 2 and Zhejiang San'ao nuclear power plant unit 1. This is after the country launched three new nuclear power plants in 2019 in the provinces of Shandong, Fujian and Guangdong, which marked the end of a moratorium on new projects.

The Zhejiang San'ao nuclear power plant saw concrete poured for unit 1 on Dec 31, according to its operator China General Nuclear. It will be the first of six Hualong One pressurized water reactors to be built at the site as well as the first Chinese nuclear power plant project to involve private capital.

Jointly invested, constructed and operated by CGN, Zheneng Electric Power, Wenzhou Nuclear Energy Development, Cangnan County Haixi Construction Development and Geely Maijie Investment, the project creates a new model of mixed ownership of nuclear power enterprises, said CGN.

The world's first Hualong One reactor at unit 5 of China National Nuclear Corp's Fuqing nuclear plant in Fujian province was connected to the grid in November. With the start of work on San'ao unit 1, China now has further seven Hualong One units under construction, including Fuqing 6, which is scheduled to go online this year.

CNNC is also constructing one unit at Taipingling in Guangdong and two at Zhangzhou in Fujian province. CGN is building two at its Fangchenggang site in Guangxi Zhuang autonomous region. In addition, two Hualong One units are under construction at Karachi in Pakistan, while CGN proposes to use a UK version of the Hualong One at Bradwell in the United Kingdom, aligning with the country's green industrial revolution strategy.

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Hinkley Point C delays highlight EDF cost overruns, energy security risks, and wholesale power prices, complicating UK net zero plans, Sizewell C financing, and small modular reactor adoption across the grid.

Key Points

Delays at EDF's 3.2GW Hinkley Point C push operations to 2031, lift costs to £46bn, and risk pricier UK electricity.

✅ First unit may slip to 2031; second unit date unclear.

✅ LSEG sees 6% wholesale price impact in 2029-2032.

✅ Sizewell C replicates design; SMR contracts expected soon.

Vincent de Rivaz, former CEO of EDF, confidently announced in 2016 the commencement of the UK's first nuclear power station since the 1990s, Hinkley Point C. However, despite milestones such as the reactor roof installation, recent developments have belied this optimism. The French state-owned utility EDF recently disclosed further delays and cost overruns for the 3.2 gigawatt plant in Somerset.

These complications at Hinkley Point C, which is expected to power 6 million homes, have sparked new concerns about the UK's energy strategy and its ambition to decarbonize the grid by 2050.

The UK government's plan to achieve net zero by 2050 includes a significant role for nuclear energy, reflecting analyses that net-zero may not be possible without nuclear and aiming to increase capacity from the current 5.88GW to 24GW by mid-century.

Simon Virley, head of energy at KPMG in the UK, stressed the importance of nuclear energy in transitioning to a net zero power system, echoing industry calls for multiple new stations to meet climate goals. He pointed out that failing to build the necessary capacity could lead to increased reliance on gas.

Hinkley Point C is envisioned as the pioneer in a new wave of nuclear plants intended to augment and replace Britain's existing nuclear fleet, jointly managed by EDF and Centrica. Nuclear power contributed about 14 percent of the UK's electricity in 2022, even as Europe is losing nuclear power across the continent. However, with the planned closure of four out of five plants by March 2028 and rising electricity demand, there is concern about potential power price increases.

Rob Gross, director of the UK Energy Research Centre, emphasized the link between energy security and affordability, highlighting the risk of high electricity prices if reliance on expensive gas increases.

The first 1.6GW reactor at Hinkley Point C, initially set for operation in 2027, may now face delays until 2031, even after first reactor installation milestones were reported. The in-service date for the second unit remains uncertain, with project costs possibly reaching £46bn.

LSEG analysts predict that these delays could increase wholesale power prices by up to 6 percent between 2029 and 2032, assuming the second unit becomes operational in 2033.

Martin Young, an analyst at Investec, warned of the price implications of removing a large power station from the supply side.

In response to these delays, EDF is exploring the extension of its four oldest plants. Jerry Haller, EDF’s former decommissioning director, had previously expressed skepticism about extending the life of the advanced gas-cooled reactor fleet, but EDF has since indicated more positive inspection results. The company had already decided to keep the Heysham 1 and Hartlepool plants operational until at least 2026.

Nevertheless, the issues at Hinkley Point C raise doubts about the UK's ability to meet its 2050 nuclear build target of 24GW.

Previous delays at Hinkley were attributed to the COVID-19 pandemic, but EDF now cites engineering problems, similar to those experienced at other European power stations using the same technology.

The next major UK nuclear project, Sizewell C in Suffolk, will replicate Hinkley Point C's design, aligning with the UK's green industrial revolution agenda. EDF and the UK government are currently seeking external investment for the £20bn project.

Compared with Hinkley Point C, Sizewell C's financing model involves exposing billpayers to some risk of cost overruns. This, coupled with EDF's track record, could affect investor confidence.

Additionally, the UK government is supporting the development of small modular reactors, while China's nuclear program continues on a steady track, with contracts expected to be awarded later this year.

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AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

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DOE Wind Energy Funding backs 13 R&D projects advancing offshore wind, distributed energy, and utility-scale turbines, including microgrids, battery storage, nacelle and blade testing, tall towers, and rural grid integration across the United States.

Key Points

DOE Wind Energy Funding is a $28M R&D effort in offshore, distributed, and utility-scale wind to lower cost and risk.

✅ $6M for rural microgrids, storage, and grid integration.

✅ $7M for offshore R&D, nacelle and long-blade testing.

✅ Up to $10M demos; $5M for tall tower technology.

The U.S. Department of Energy announced that in order to advance wind energy in the U.S., 13 projects have been selected to receive $28 million. Project topics focus on technology development while covering distributed, offshore wind growth and utility-scale wind found on land.

The selections were announced by the DOE’s Assistant Secretary for the Office of Energy Efficiency and Renewable Energy, Daniel R. Simmons, at the American Wind Energy Association Offshore Windpower Conference in Boston, as New York's offshore project momentum grows nationwide.

Wind Project Awards

According to the DOE, four Wind Innovations for Rural Economic Development projects will receive a total of $6 million to go toward supporting rural utilities via facilitating research drawing on U.K. wind lessons for deployment that will allow wind projects to integrate with other distributed energy resources.

These endeavors include:

Bergey WindPower (Norman, Oklahoma) working on developing a standardized distributed wind/battery/generator micro-grid system for rural utilities;

Electric Power Research Institute (Palo Alto, California) working on developing modeling and operations for wind energy and battery storage technologies, as large-scale projects in New York progress, that can both help boost wind energy and facilitate rural grid stability;

Iowa State University (Ames, Iowa) working on optimization models and control algorithms to help rural utilities balance wind and other energy resources; and

The National Rural Electric Cooperative Association (Arlington, Virginia) providing the development of standardized wind engineering options to help rural-area adoption of wind.

Another six projects are to receive a total of $7 million to facilitate research and development in offshore wind, as New York site investigations advance, with these projects including:

Clemson University (North Charleston, South Carolina) improving offshore-scale wind turbine nacelle testing via a “hardware-in-the-loop capability enabling concurrent mechanical, electrical and controller testing on the 7.5-megawatt dynamometer at its Wind Turbine Drivetrain Testing Facility to accelerate 1 GW on the grid progress”; and

The Massachusetts Clean Energy Center (Boston) upgrading its Wind Technology Testing Center to facilitate structural testing of 85- to 120-meter-long (roughly 278- to 393-foot-long) blades, as BOEM lease requests expand, among other projects.

Additionally, two offshore wind technology demonstration projects will receive up to $10 million for developing initiatives connected to reducing wind energy risk and cost. One last project will also be granted $5 million for the development of tall tower technology that can help overcome restrictions associated with transportation.

“These projects will be instrumental in driving down technology costs and increasing consumer options for wind across the United States as part of our comprehensive energy portfolio,” said Simmons.

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Air-gen Protein Nanowire Generator delivers clean energy by harvesting ambient humidity via Geobacter-derived conductive nanowires, generating continuous hydrovoltaic electricity through moisture gradients, electrodes, and proton diffusion for sustainable, low-waste power in diverse climates.

Key Points

A device using Geobacter protein nanowires to harvest humidity, producing continuous DC power via proton diffusion.

✅ 7 micrometer film between electrodes adsorbs water vapor.

✅ Output: ~0.5 V, 17 uA/cm2; stack units to scale power.

✅ Geobacter optimized via engineered E. coli for mass nanowires.

They found it buried in the muddy shores of the Potomac River more than three decades ago: a strange "sediment organism" that could do things nobody had ever seen before in bacteria.

This unusual microbe, belonging to the Geobacter genus, was first noted for its ability to produce magnetite in the absence of oxygen, but with time scientists found it could make other things too, like bacterial nanowires that conduct electricity.

For years, researchers have been trying to figure out ways to usefully exploit that natural gift, and they might have just hit pay-dirt with a device they're calling the Air-gen. According to the team, their device can create electricity out of… well, almost nothing, similar to power from falling snow reported elsewhere.

"We are literally making electricity out of thin air," says electrical engineer Jun Yao from the University of Massachusetts Amherst. "The Air-gen generates clean energy 24/7."

The claim may sound like an overstatement, but a new study by Yao and his team describes how the air-powered generator can indeed create electricity with nothing but the presence of air around it. It's all thanks to the electrically conductive protein nanowires produced by Geobacter (G. sulfurreducens, in this instance).

The Air-gen consists of a thin film of the protein nanowires measuring just 7 micrometres thick, positioned between two electrodes, referencing advances in near light-speed conduction in materials science, but also exposed to the air.

Because of that exposure, the nanowire film is able to adsorb water vapour that exists in the atmosphere, offering a contrast to legacy hydropower models, enabling the device to generate a continuous electrical current conducted between the two electrodes.

The team says the charge is likely created by a moisture gradient that creates a diffusion of protons in the nanowire material.

"This charge diffusion is expected to induce a counterbalancing electrical field or potential analogous to the resting membrane potential in biological systems," the authors explain in their study.

"A maintained moisture gradient, which is fundamentally different to anything seen in previous systems, explains the continuous voltage output from our nanowire device."

The discovery was made almost by accident, when Yao noticed devices he was experimenting with were conducting electricity seemingly all by themselves.

"I saw that when the nanowires were contacted with electrodes in a specific way the devices generated a current," Yao says.

"I found that exposure to atmospheric humidity was essential and that protein nanowires adsorbed water, producing a voltage gradient across the device."

Previous research has demonstrated hydrovoltaic power generation using other kinds of nanomaterials – such as graphene-based systems now under study – but those attempts have largely produced only short bursts of electricity, lasting perhaps only seconds.

By contrast, the Air-gen produces a sustained voltage of around 0.5 volts, with a current density of about 17 microamperes per square centimetre, and complementary fuel cell solutions can help keep batteries energized, with a current density of about 17 microamperes per square centimetre. That's not much energy, but the team says that connecting multiple devices could generate enough power to charge small devices like smartphones and other personal electronics – concepts akin to virtual power plants that aggregate distributed resources – all with no waste, and using nothing but ambient humidity (even in regions as dry as the Sahara Desert).

"The ultimate goal is to make large-scale systems," Yao says, explaining that future efforts could use the technology to power homes via nanowire incorporated into wall paint, supported by energy storage for microgrids to balance supply and demand.

"Once we get to an industrial scale for wire production, I fully expect that we can make large systems that will make a major contribution to sustainable energy production."

If there is a hold-up to realising this seemingly incredible potential, it's the limited amount of nanowire G. sulfurreducens produces.

Related research by one of the team – microbiologist Derek Lovley, who first identified Geobacter microbes back in the 1980s – could have a fix for that: genetically engineering other bugs, like E. coli, to perform the same trick in massive supplies.

"We turned E. coli into a protein nanowire factory," Lovley says.

"With this new scalable process, protein nanowire supply will no longer be a bottleneck to developing these applications."

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Ontario Global Adjustment Supreme Court Appeal spotlights a constitutional challenge to Ontario's electricity charge, pitting National Steel Car against the IESO over regulatory charge vs tax, procurement policy, and renewable energy feed-in tariff contracts.

Key Points

An SCC leave bid on whether Ontario's global adjustment is a valid regulatory charge or an unconstitutional tax.

✅ Appeals Court revived case for full record review

✅ Dispute centers on regulatory charge vs tax classification

✅ FIT renewables contracts and procurement policies at issue

The Ontario government wants the Supreme Court of Canada to weigh in on a constitutional challenge being brought against a large provincial electricity charge, a case the province claims raises issues of national importance.

Ontario’s attorney general and its Independent Electricity System Operator applied for permission to appeal to the Supreme Court in January, according to the court’s website.

The province is trying to appeal a Court of Appeal decision reinstating the challenge from November that said a legal challenge by Hamilton, Ont.-based National Steel Car Ltd. should be sent back to a lower-court for a full hearing.

Court reinstates constitutional challenge to Ontario's hefty ‘global adjustment’ electricity charge
National Steel Car appealing decision in legal challenge of Ontario electricity fee it calls an unconstitutional tax
Doug Ford’s cancellation of green energy deals costs Ontario taxpayers $231 million
National Steel Car launched its legal challenge in 2017, with the maker of steel rail cars claiming the province’s global adjustment electricity charge was a tax intended to fund certain post-financial-crisis policy goals. Since it is allegedly a tax, and one not imposed by the provincial legislature, the company’s argument is the global adjustment is unconstitutional, and also in breach of a provincial law requiring a referendum for new taxes.

The global adjustment mostly bridges the gap between the province’s hourly electricity price and the price guaranteed under contracts and regulated rates with power generators. It also helps cover the cost of building new electricity infrastructure and providing conservation programs, but the fee now makes up most of the commodity portion of a household power bill in the province.

Ontario argued the global adjustment is a valid regulatory charge, and moved to have National Steel Car’s challenge thrown out. An Ontario Superior Court judge agreed, and dismissed the challenge in 2018, saying it was “plain, obvious and beyond doubt” it could not succeed. However, an appeals court judge disagreed, writing in a decision last November that the “merits should not have been determined on a pleadings motion and without the development of a full record.”

In filings made to the Supreme Court, both the IESO and Ontario’s Ministry of the Attorney General argued their proposed appeals raise “issues of national and public importance,” such as whether incorporating environmental and social policy goals in procurement could turn attempts by a public body to recover costs into an unconstitutional tax.

Most applications for leave to appeal to the Supreme Court are dismissed, but the Ontario government claims the court’s guidance is required in this case, as it could lead to questions being raised about other fees or charges, such as money raised from fishing licences.

“A failure to dispose of this claim at the pleadings stage may well result in such uncertainty that public authorities across Canada decline to incorporate the kind of environmental and social policy goals objected to in this case into the decisions they make about how to spend funds raised from regulatory charges,” the filing from the attorney general states. “Alternatively, it may induce governments not to engage in cost recovery in connection with publicly supplied goods and services, which can otherwise be sound public policy.”

The government has so far had to pay National Steel Car $250,000 in legal costs “to avoid responding to the credible claim that the Global Adjustment is an unconstitutional tax,” said David Trafford of Morse Shannon LLP, one of National Steel Car’s lawyers.

“The application for leave to appeal is the next step in this effort to avoid having to respond to the case on the merits,” Trafford added in an email.

The application for leave to appeal is the next step in this effort to avoid having to respond to the case on the merits

David Trafford of Morse Shannon, one of National Steel Car’s lawyers
 
National Steel Car has particularly taken issue with the part of the global adjustment that funded contracts for renewable energy under a “feed-in tariff” program, or FIT, which the company called “the main culprit behind the dramatic price increases for electricity.”

The FIT program has been ended, but contracts awarded under it remain in place and form part of the global adjustment. Ontario’s auditor general estimated in 2015 that electricity consumers would pay $9.2 billion more for renewable energy under the government’s guaranteed-price program, a figure that later featured in a dispute between the auditor and the electricity regulator that drew political attention.

National Steel Car said its global adjustment costs grew from $207,260 in 2008 to almost $3.4 million in 2016, reflecting how high electricity rates have pressured manufacturers, to almost $3.4 million in 2016. For 2018, there was approximately $11.2 billion in global adjustment collected, according to the IESO’s reporting.

A spokesperson for the IESO said it “is not in a position to comment” because the case is still before the courts.

Electricity prices have been an ongoing problem for both Ontario consumers and politicians, which the previous Liberal government tried to address in 2017 by, among other things, refinancing global-adjustment costs through the Fair Hydro Plan and other measures.

Since National Steel Car filed its lawsuits, though, the Liberals lost power in the province and were succeeded in 2018 by Premier Doug Ford and the Progressive Conservatives, who made changes to the previous government’s power policies, including legislation to lower electricity rates introduced early in their mandate.

The province has also pursued interprovincial power arrangements, including building on an electricity deal with Quebec as part of its broader energy strategy.

“The present government of Ontario does not agree with the former government’s electricity procurement program, which ceased awarding new contracts in 2016,” Ontario’s attorney general said in a filing. “However, Ontario submits that (the lower-court judge) was correct in holding that it does not give rise to a claim susceptible to being remedied by the courts.”

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