Court sides with EPA in power plant case

EV Firefighter Cancer Risks: lithium-ion battery fires, toxic metals like nickel and chromium, hazardous smoke plumes, and prolonged exposure threaten first responders; SCBA use, decontamination, and evidence-based protocols help reduce occupational health impacts.

Key Points

Health hazards from EV battery fires exposing responders to toxic metals and smoke, elevating long-term cancer risk.

✅ Nickel and chromium in EV smoke linked to lung and sinus cancers

✅ Use SCBA, on-scene decon, and post-incident cleaning to cut exposure

✅ Adopt EV fire SOPs: cooling, monitoring, isolation, air monitoring

As electric vehicles (EVs) become more popular, the EV fire risks to firefighters are becoming an increasing concern. These fires, fueled by the high-capacity lithium-ion batteries in EVs, produce dangerous chemical exposures that could have serious long-term health implications for first responders.

Claudine Buzzo, a firefighter and cancer survivor, knows firsthand the dangers that come with the profession. She’s faced personal health battles, including rare pancreatic cancer and breast cancer, both of which she attributes to the hazards of firefighting. Now, as EV adoption increases and some research links adoption to fewer asthma-related ER visits in local communities, Buzzo and her colleagues are concerned about how EV fires might add to their already heavy exposure to harmful chemicals.

The fire risks associated with EVs are different from those of traditional gasoline-powered vehicles. Dr. Alberto Caban-Martinez, who is leading a study at the Sylvester Comprehensive Cancer Center, explains that the high concentrations of metals released in the smoke from an EV fire are linked to various cancers. For instance, nickel, a key component in EV batteries, is associated with lung, nasal, and laryngeal cancers, while chromium, another metal found in some EV batteries, is linked to lung and sinus cancers.

Research from the Firefighter Cancer Initiative indicates that the plume of smoke from an EV fire contains significantly higher concentrations of these metals than fires from traditional vehicles. This raises the risk of long-term health problems for firefighters who respond to such incidents.

While the Electric Vehicle Association acknowledges the risks associated with various types of vehicle fires, they maintain that the lithium-ion batteries in EVs may not present a significantly higher risk than other common fire hazards, even as broader assessments suggest EVs are not a silver bullet for climate goals. Nonetheless, the growing body of research is causing concern among health experts, urging for further studies into how these new types of fires could affect firefighter health and how upstream electricity generation, where 18% of electricity in 2019 came from fossil fuels in Canada, factors into overall risk perceptions.

Fire departments and health researchers are working to understand the full scope of these risks and are emphasizing the importance of protective gear, such as self-contained breathing apparatuses, to minimize exposure during EV fire responses, while also considering questions like grid impacts during charging operations and EV sustainability improvements in different regions.

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Ontario-Quebec Energy Swap streamlines electricity exchange, balancing peak demand across clean grids with hydroelectric and nuclear power, enhancing reliability, capacity banking, and interprovincial load management for industry growth, EV adoption, and seasonal heating-cooling needs.

Key Points

10-year, no-cash power swap aligning peaks; hydro and nuclear enhance reliability and let Ontario bank capacity.

✅ Up to 600 MW exchanged yearly; reviews adjust volumes

✅ Peaks differ: summer A/C in Ontario, winter heating in Quebec

✅ Capacity banking enables future-year withdrawals

Ontario and Quebec have agreed to swap energy to build on an electricity deal to help each other out when electricity demands peak.

The provinces' electricity operators, the Independent Electricity System Operator holds capacity auctions and Hydro-Quebec, will trade up to 600 megawatts of energy each year, said Ontario Energy Minister Todd Smith.

“The deal just makes a lot of sense from both sides,” Smith said in an interview.

“The beauty as well is that Quebec and Ontario are amongst the cleanest grids around.”

The majority of Ontario's power comes from nuclear energy while the majority of Quebec's energy comes from hydroelectric power, including Labrador power in regional transmission networks.

The deal works because Ontario and Quebec's energy peaks come at different times, Smith said.

Ontario's energy demands spike in the summer, largely driven by air conditioning on hot days, and the province has occasionally set off-peak electricity prices to provide temporary relief, he said.

Quebec's energy needs peak in the winter, mostly due to electric heating on cold days.

The deal will last 10 years, with reviews along the way to adjust energy amounts based on usage.

“With the increase in energy demand, we must adopt more energy efficiency programs like Peak Perks and intelligent measures in order to better manage peak electricity consumption,” Quebec's Energy Minister Pierre Fitzgibbon wrote in a statement.

Smith said the energy deal is a straight swap, with no payments on either side, and won't reduce hydro bills as the transfer could begin as early as this winter.

Ontario will also be able to bank unused energy to save capacity until it is needed in future years, Smith said.

Both provinces are preparing for future energy needs, as electricity demands are expected to grow dramatically in the coming years with increased demand from industry and the rise of electric vehicles, and Ontario has tabled legislation to lower electricity rates to support consumers.

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Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

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German Energy Price Brakes harness price signals in a market-based policy, cutting gas consumption, preserving industrial output, and supporting CO2 reduction, showcasing Germany's resilience and adaptation while protecting households and businesses across Europe.

Key Points

Fixed-amount subsidies preserving price signals to curb gas use, shield consumers, and sustain industrial output.

✅ Maintains incentives via market-based price signals

✅ Cuts gas consumption without distorting EU markets

✅ Protects households and industry while curbing CO2

German industry and society are once again proving much more resilient and adaptable than certain people feared. Horror scenarios of a dangerous energy rationing or a massive slump in our economy have often been bandied about. But we are nowhere near that. With a challenging year just behind us, this is good news — not only for Germany, but also for Europe, where France-Germany energy cooperation has strengthened solidarity.

Companies and households reacted swiftly to the sharp increases in energy prices, in line with momentum in the global energy transition seen across markets. They installed more efficient heating or production facilities, switched to alternatives and imported intermediate products. The results are encouraging: German households and businesses have reduced gas consumption significantly, despite recent cold weather. From the start of the war in Ukraine to mid-December industrial gas consumption in Germany was (temperature-adjusted) around 20 per cent lower than the average level for the preceding three years. Even if some firms have cut back production, especially in energy-intensive sectors, industrial output as a whole has only fallen by about 1 per cent since the start of 2022. Added to this, in a survey released by the Ifo institute in November, over a third of German companies saw the potential to reduce gas consumption further without endangering output.

Instead of imposing excessive laws and regulations, we have relied on price signals and the prudence of market participants to create the right incentives and reduce gas consumption, as falling costs like record-low solar power prices continue to reinforce those signals across sectors.

We will follow this approach in coming months, when energy savings will remain important, even as the EU electricity outlook anticipates sharply higher demand by 2050. Our latest relief measures will not distort price signals. To this end, the Bundestag approved gas and electricity price brakes in its final session in 2022. They are designed to function without any intervention in markets or prices. This system will pay out a fixed amount relative to previous years’ consumption and the current difference to a reference price — regardless of current consumption.

Energy price brakes are the main component of Germany’s “protective shield”, which makes up to €200bn available for measures in 2022 to 2024. Seen in relation to the German economy’s size, its past heavy reliance on Russian energy imports and the fact that the measures will expire in 2024, these are balanced and expedient mechanisms. In contrast to instruments used in other countries, our new arrangements will not affect the price formation process driven by supply and demand, or on incentives to save gas. Companies and households will continue to save the full market price when they reduce consumption by a unit of gas or electricity. In this way, the price brakes also avoid the creation of additional demand for gas at the expense of consumers in other European countries, even as Europe’s Big Oil turning electric signals broader structural shifts in energy markets. No one need fear that competition will be distorted or that gas will be bought up. Indeed, a recent IMF working paper on cushioning the impact of high energy prices on households explicitly praises the German energy price brakes.

Current developments confirm the effectiveness of a market-based approach — and show that we should also rely on price signals when it comes to reducing CO₂ emissions, as suggested by IEA CO2 trends in recent years. Last year, households and companies had only a few weeks to adapt, yet we have already seen a strong response. The effect of CO₂ prices can be even stronger, as adaptation is possible over a much longer time and they additionally affect expectations and long-term decisions. Regulatory interventions and subsidy schemes, even if well targeted, cannot compete with market co-ordination and incentives that support individual decision-making and promote innovation.

Europe and Germany can weather this crisis without a collapse in industrial production. We also have an opportunity to deal efficiently with the move to climate neutrality, aligned with Germany’s hydrogen strategy for imported low-carbon fuels. In both cases, we should have confidence in price signals as well as in the power of people and business to innovate and adapt.

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IESO Fictitious Demand Error inflated HOEP in the Ontario electricity market, after embedded generation was mis-modeled; the OEB says double-counted load lifted wholesale prices and shifted costs via the Global Adjustment.

Key Points

An IESO modeling flaw that double-counted load, inflating HOEP and charges in Ontario's wholesale market.

✅ Double-counted unmetered load from embedded generation

✅ Inflated HOEP; shifted costs via Global Adjustment

✅ OEB flagged transparency; exporters paid more

For almost a year, the operator of Ontario’s electricity system erroneously counted enough phantom demand to power a small city, causing prices to spike and hundreds of millions of dollars in extra charges to consumers, according to the provincial energy regulator.

The Independent Electricity System Operator (IESO) also failed to tell anyone about the error once it noticed and fixed it.

The error likely added between $450 million and $560 million to hourly rates and other charges before it was fixed in April 2017, according to a report released this month by the Ontario Energy Board’s Market Surveillance Panel.

It did this by adding as much as 220 MW of “fictitious demand” to the market starting in May 2016, when the IESO started paying consumers who reduced their demand for power during peak periods. This involved the integration of small-scale embedded generation (largely made up of solar) into its wholesale model for the first time.

The mistake assumed maximum consumption at such sites without meters, and double-counted that consumption.

The OEB said the mistake particularly hurt exporters and some end-users, who did not benefit from a related reduction of a global adjustment rate applicable to other customers.

“The most direct impact of the increase in HOEP (Hourly Ontario Energy Price) was felt by Ontario consumers and exporters of electricity, who paid an artificially high HOEP, to the benefit of generators and importers,” the OEB said.

The mix-up did not result in an equivalent increase in total system costs, because changes to the HOEP are offset by inverse changes to a electricity cost allocation mechanism such as the Global Adjustment rate, the OEB noted.

A chart from the OEB's report shows the time of day when fictitious demand was added to the system, and its influence on hourly rates.

Peak time spikes
The OEB said that the fictitious demand “regularly inflated” the hourly price of energy and other costs calculated as a direct function of it.

For almost a year, Ontario's electricity system operator @IESO_Tweets erroneously counted enough phantom demand to power a small city, causing price spikes and hundreds of millions in charges to consumers, @OntEnergyBoard says. @5thEstate reports.

It estimated the average increase to the HOEP was as much as $4.50/MWh, but that price spikes, compounded by scheduled OEB rate changes, would have been much higher during busier times, such as the mid-morning and early evening.

“In times of tight supply, the addition of fictitious demand often had a dramatic inflationary impact on the HOEP,” the report said.

That meant on one summer evening in 2016 the hourly rate jumped to $1,619/MWh, it said, which was the fourth highest in the history of the Ontario wholesale electricity market.

“Additional demand is met by scheduling increasingly expensive supply, thus increasing the market price. In instances where supply is tight and the supply stack is steep, small increases in demand can cause significant increases in the market price.

The OEB questioned why, as of September this year, the IESO had failed to notify its customers or the broader public, amid a broader auditor-regulator dispute that drew political attention, about the mistake and its effect on prices.

“It's time for greater transparency on where electricity costs are really coming from,” said Sarah Buchanan, clean energy program manager at Environmental Defence.

“Ontario will be making big decisions in the coming years about whether to keep our electricity grid clean, or burn more fossil fuels to keep the lights on,” she added. “These decisions need to be informed by the best possible evidence, and that can't happen if critical information is hidden.”

In a response to the OEB report on Monday, the IESO said its own initial analysis found that the error likely pushed wholesale electricity payments up by $225 million. That calculation assumed that the higher prices would have changed consumer behaviour, while upcoming electricity auctions were cited as a way to lower costs, it said.

In response to questions, a spokesperson said residential and small commercial consumers would have saved $11 million in electricity costs over the 11-month period, even as a typical bill increase loomed province-wide, while larger consumers would have paid an extra $14 million.

That is because residential and small commercial customers pay some costs via time-of-use rates, including a temporary recovery rate framework, the IESO said, while larger customers pay them in a way that reflects their share of overall electricity use during the five highest demand hours of the year.

The IESO said it could not compensate those that had paid too much, given the complexity of the system, and that the modelling error did not have a significant impact on ratepayers.

While acknowledging the effects of the mistake would vary among its customers, the IESO said the net market impact was less than $10 million, amid ongoing legislation to lower electricity rates in Ontario.

It said it would improve testing of its processes prior to deployment and agreed to publicly disclose errors that significantly affect the wholesale market in the future.

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WA $600 Electricity Credit supports households with power bills as a budget stimulus, delivering an automatic rebate via Synergy and Horizon, funded by the Bell Group settlement to aid COVID-19 recovery and local spending.

Key Points

A one-off $600 power bill credit for all Synergy and Horizon residential accounts, funded by the Bell Group settlement.

✅ Automatic, not means-tested; applied to Synergy and Horizon accounts.

✅ Can offset upcoming bills or carry forward to future statements.

✅ Funded by Bell Group payout; aims to ease cost-of-living pressures.

Washington Premier Mark McGowan has announced more than a million households will receive a $600 electricity credit on their electricity account before their next bill.

The $650 million measure will form part of Thursday's pre-election state budget, similar to legislation to lower electricity rates in other jurisdictions, which has been delayed since May because of the pandemic and will help deflect criticism by the opposition that Labor hasn't done enough to stimulate WA's economy.

Mr McGowan made the announcement on Sunday while visiting a family in the electorate of Bicton.

"Here in WA, our state is in the best possible position as we continue our strong recovery from COVID-19, but times are still tough for many West Australians, and there is always more work to do," he said.

"[The credit] will mean WA families have a bit of extra money available in the lead up to Christmas.

"But I have a request, if this credit means you can spend some extra money, use it to support our local WA businesses."

The electricity bill credit will be automatically applied to every Synergy or Horizon residential account from Sunday, echoing moves such as reconnections for nonpayment by Hydro One in Canada.

It can be applied to future bills and will not be means tested.

"The $600 credit is fully funded through the recent Bell Group settlement, for the losses incurred in the Bell Group collapse in the early 1990s," Mr McGowan said.

"It made sense that these funds go straight back to Western Australians."

In September, the liquidator for the Bell Group and its finance arm distributed funds to its five major creditors, including $670 million to the WA government. The payment marked the close of the 30-year battle to recover taxpayer funds squandered during the WA Inc era of state politics.

The payout is the result of litigation stemming from the 1988 partnership between then Labor government and entrepreneur Alan Bond in acquiring major interests in Robert Holmes à Court’s failing Bell Group, following the 1987 stock market crash.

WA shadow minister for cost of living, Tony Krsticevic, said the $600 credit was returning money back into West Australian's pockets from "WA Labor's darkest days".

“This is taxpayers’ money out of a levy which was brought in to pay for Labor’s scandalous WA Inc losses of $450 million in the 1980s,” he said.

“This money should be returned to West Australians.

“WA families are in desperate need of it because they are struggling under cost of living increases of $850 every year since 2017 under WA Labor, amid concerns elsewhere that an electricity recovery rate could lead to higher hydro bills.

“But they need more than just a one-off payment. These $850 cost of living increases are an on-going burden.”

Prior to the onset of the coronavirus pandemic, the opposition believed it was gaining traction by attacking the government's increases to fees and charges in its first three budgets, and by urging an electricity market overhaul to favor consumers.

Last year, Labor increased household fees and charges by $127.77, which came on top of increases over the prior two budgets, as other jurisdictions faced hydro rate increases of around 3 per cent.

According the state's annual report on its finances released in September, the $2.6 billion budget surplus forecast in the at the end of 2019 had been reduced by $920 million to $1.7 billion despite the impact of the coronavirus.

But total public sector net debt was at $35.4 billion, down from the $36.1 billion revision at the end of 2019 in the mid-year review.

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