Newfoundland utility files application to finance capital investments

EV Subsidies in Canada influence greenhouse-gas emissions based on electricity grid mix; in Ontario and Quebec they reduce pollution, while fossil-fuel grids blunt benefits. Compare costs per tonne with carbon tax and renewable energy policies.

Key Points

Government rebates for electric vehicles, whose emissions impact and cost-effectiveness depend on provincial grid mix.

✅ Impact varies by grid emissions; clean hydro-nuclear cuts CO2.

✅ MEI estimates up to $523 per tonne vs $50 carbon price.

✅ Best value: tax carbon; target renewables, efficiency, hybrids.

Bad ideas sometimes look better, and sell better, than good ones – as with the proclaimed electric-car revolution that policymakers tout today. Not always, or else Canada wouldn’t be the mostly well-run place that it is. But sometimes politicians embrace a less-than-best policy – because its attractive appearance may make it more likely to win the popularity contest, right now, even though it will fail in the long run.

The most seasoned political advisers know it. Pollsters too. Voters, in contrast, don’t know what they don’t know, which is why bad policy often triumphs. At first glance, the wrong sometimes looks like it must be right, while better and best give the appearance of being bad and worst.

This week, the Montreal Economic Institute put out a study on the costs and benefits of taxpayer subsidies for electric cars. They considered the logic of the huge amounts of money being offered to purchasers in the country’s two largest provinces. In Quebec, if you buy an electric vehicle, the government will give you up to $8,000; in Ontario, buying an electric car or truck entitles you to a cheque from the taxpayer of between $6,000 and $14,000. The subsidies are rich because the cars aren’t cheap.

Will putting more electric cars on the road lower greenhouse-gas emissions? Yes – in some provinces, where they can be better for the planet when the grid is clean. But it all depends on how a province generates electricity. In places like Alberta, Saskatchewan, Nova Scotia and Nunavut territory, where most electricity comes from burning fossil fuels, an electric car may actually generate more greenhouse gases than one running on traditional gasoline. The tailpipe of an electric vehicle may not have any emissions. But quite a lot of emissions may have been generated to produce the power that went to the socket that charged it.

A few years ago, University of Toronto engineering professor Christopher Kennedy estimated that electric cars are only less polluting than the gasoline vehicles they replace when the local electrical grid produces a good chunk of its power from renewable sources – thereby lowering emissions to less than roughly 600 tonnes of CO2 per gigawatt hour.

Unfortunately, the electricity-generating systems in lots of places – from India to China to many American states – are well above that threshold. In those jurisdictions, an electric car will be powered in whole or in large part by electricity created from the burning of a fossil fuel, such as coal. As a result, that car, though carrying the green monicker of “electric,” is likely to be more polluting than a less costly model with an internal combustion or hybrid engine.

The same goes for the Canadian juridictions mentioned above. Their electricity is dirtier, so operating an electric car there won’t be very green. Alberta, for example, is aiming to generate 30 per cent of its electricity from renewable sources by 2030 – which means that the other 70 per cent of its electricity will still come from fossil fuels. (Today, the figure is even higher.) An Albertan trading in a gasoline car for an electric vehicle is making a statement – just not the one he or she likely has in mind.

In Ontario and Quebec, however, most electricity is generated from non-polluting sources, even though Canada still produced 18% from fossil fuels in 2019 overall. Nearly all of Quebec’s power comes from hydro, and more than 90 per cent of Ontario’s electricity is from zero-emission generation, mainly hydro and nuclear. British Columbia, Manitoba and Newfoundland and Labrador also produce the bulk of their electricity from hydro. Electric cars in those provinces, powered as they are by mostly clean electricity, should reduce emissions, relative to gas-powered cars.

But here’s the rub: Electric cars are currently expensive, and, as a recent survey shows, consequently not all that popular. Ontario and Quebec introduced those big subsidies in an attempt to get people to buy them. Those subsidies will surely put more electric cars on the road and in the driveways of (mostly wealthy) people. It will be a very visible policy – hey, look at all those electrics on the highway and at the mall!

However, that result will be achieved at great cost. According to the MEI, for Ontario to reach its goal of electrics constituting 5 per cent of new vehicles sold, the province will have to dish out up to $8.6-billion in subsidies over the next 13 years.

And the environmental benefits achieved? Again, according to the MEI estimate, that huge sum will lower the province’s greenhouse-gas emissions by just 2.4 per cent. If the MEI’s estimate is right, that’s far too many bucks for far too small an environmental bang.

Here’s another way to look at it: How much does it cost to reduce greenhouse-gas emissions by other means? Well, B.C.’s current carbon tax is $30 a tonne, or a little less than 7 cents on a litre of gasoline. It has caused GHG emissions per unit of GDP to fall in small but meaningful ways, thanks to consumers and businesses making millions of little, unspectacular decisions to reduce their energy costs. The federal government wants all provinces to impose a cost equivalent to $50 a tonne – and every economic model says that extra cost will make a dent in greenhouse-gas emissions, though in ways that will not involve politicians getting to cut any ribbons or hold parades.

What’s the effective cost of Ontario’s subsidy for electric cars? The MEI pegs it at $523 per tonne. Yes, that subsidy will lower emissions. It just does so in what appears to be the most expensive and inefficient way possible, rather than the cheapest way, namely a simple, boring and mildly painful carbon tax.

Electric vehicles are an amazing technology. But they’ve also become a way of expressing something that’s come to be known as “virtue signalling.” A government that wants to look green sees logic in throwing money at such an obvious, on-brand symbol, or touting a 2035 EV mandate as evidence of ambition. But the result is an off-target policy – and a signal that is mostly noise.

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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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Germany Energy Transition faces offshore wind expansion, grid bottlenecks, and North-South transmission delays, while Nord Stream 2 boosts Russian gas reliance and lignite coal persists amid a nuclear phaseout and rising re-dispatch costs.

Key Points

Germanys shift to renewables faces grid delays, boosting gas via Nord Stream 2 and extending lignite coal use.

✅ Offshore wind grows, but grid congestion curtails turbines.

✅ Nord Stream 2 expands Russian gas supply to German industry.

✅ Lignite coal persists, raising emissions amid nuclear exit.

On a blazing hot August day on Germany’s Baltic Sea coast, a few hundred tourists skip the beach to visit the “Fascination Offshore Wind” exhibition, held in the port of Mukran at the Arkona wind park. They stand facing the sea, gawking at white fiberglass blades, which at 250 feet are longer than the wingspan of a 747 aircraft. Those blades, they’re told, will soon be spinning atop 60 wind-turbine towers bolted to concrete pilings driven deep into the seabed 20 miles offshore. By early 2019, Arkona is expected to generate 385 megawatts, enough electricity to power 400,000 homes.

“We really would like to give the public an idea of what we are going to do here,” says Silke Steen, a manager at Arkona. “To let them say, ‘Wow, impressive!’”

Had the tourists turned their backs to the sea and faced inland, they would have taken in an equally monumental sight, though this one isn’t on the day’s agenda: giant steel pipes coated in gray concrete, stacked five high and laid out in long rows on a stretch of dirt. The port manager tells me that the rows of 40-foot-long, 4-foot-thick pipes are so big that they can be seen from outer space. They are destined for the Nord Stream 2 pipeline, a colossus that, when completed next year, will extend nearly 800 miles from Russia to Germany, bringing twice the amount of gas that a current pipeline carries.

The two projects, whose cargo yards are within a few hundred feet of each other, provide a contrast between Germany’s dream of renewable energy and the political realities of cheap Russian gas. In 2010, Germany announced an ambitious goal of generating 80 percent of its electricity from renewable sources by 2050. In 2011, it doubled down on the commitment by deciding to shut down every last nuclear power plant in the country by 2022, as part of a broader coal and nuclear phaseout strategy embraced by policymakers. The German government has paid more than $600 billion to citizens and companies that generate solar and wind power. As a result, the generating capacity from renewable sources has soared: In 2017, a third of the nation’s electricity came from wind, solar, hydropower and biogas, up from 3.6 percent in 1990.

But Germany’s lofty vision has run into a gritty reality: Replacing fossil fuels and nuclear power in one of the largest industrial nations in the world is politically more difficult and expensive than planners thought. It has forced Germany to put the brakes on its ambitious renewables program, ramp up its investments in fossil fuels, amid a renewed nuclear option debate over climate strategy, and, to some extent, put its leadership role in the fight against climate change on hold.

The trouble lies with Germany’s electricity grid. Solar and wind power call for more complex and expensive distribution networks than conventional large power plants do. “What the Germans were good at was getting new technology into the market, like wind and solar power,” said Arne Jungjohann, author of Energy Democracy: Germany’s ENERGIEWENDE to Renewables. To achieve its goals, “Germany needs to overhaul its whole grid.”

The North-South Conundrum

The boom in wind power has created an unanticipated mismatch between supply and demand. Big wind turbines, especially offshore plants such as Arkona, produce powerful, concentrated gusts of energy. That’s good when the factory that needs that energy is nearby and the wind kicks up during working hours. It’s another matter when factories are hundreds of miles away. In Germany, wind farms tend to be located in the blustery north. Many of the nation’s big factories lie in the south, which also happens to be where most of the country’s nuclear plants are being mothballed.

Getting that power from north to south is problematic. On windy days, northern wind farms generate too much energy for the grid to handle. Power lines get overloaded. To cope, grid operators ask wind farms to disconnect their turbines from the grid—those elegant blades that tourists so admired sit idle. To ensure a supply of power, operators employ backup generators at great expense. These so-called re-dispatching costs ran to 1.4 billion euros ($1.6 billion) last year.

The solution is to build more power transmission lines to take the excess wind from northern wind farms to southern factories. A grid expansion project is underway to do exactly that. Nearly 5,000 miles of new transmission lines, at a cost of billions of euros, will be paid for by utility customers. So far, less than a fifth of the lines have been built.

The grid expansion is “catastrophically behind schedule,” Energy Minister Peter Altmaier told the Handelsblatt business newspaper in August. Among the setbacks: citizens living along the route of four high-voltage power lines have demanded the cables be buried underground, which has added to the time and expense. The lines won’t be finished before 2025—three years after Germany’s nuclear shutdown is due to be completed.

With this backlog, the government has put the brakes on wind power, reducing the number of new contracts for farms and curtailing the amount it pays for renewable energy. “In the past, we have focused too much on the mere expansion of renewable energy capacity,” Joachim Pfeiffer, a spokesman for the Christian Democratic Union, wrote to Newsweek. “We failed to synchronize this expansion of generation with grid expansion.”

Advocates of renewables are up in arms, accusing the government of suffocating their industry and making planning impossible. Thousands of people lost their jobs in the wind industry, according to Wolfram Axthelm, CEO of the German Wind Energy Association. “For 2019 and 2020, we see a highly problematic situation for the industry,” he wrote in an email.

Fueling the Gap

Nord Stream 2, by contrast, is proceeding according to schedule. A beige and black barge, Castoro 10, hauls dozens of lengths of giant pipe off Germany’s Baltic Sea coast, where a welding machine connects them for lowering onto the seabed. The $11 billion project is funded by Russian state gas monopoly Gazprom and five European investors, at no direct cost to the German taxpayer. It is slated to cross the territorial waters of five countries—Germany, Russia, Finland, Sweden and Denmark. All but Denmark have approved the route. “We have good reason to believe that after four governments said yes, that Denmark will also approve the pipeline,” says Nord Stream 2 spokesman Jens Mueller.

Construction of the pipeline off Finland began in September, and the gas is expected to start flowing in late 2019, giving Russia leverage to increase its share of the European gas market. It already provides a third of the gas used in the EU and will likely provide more after the Netherlands stops its gas production in 2030. President Donald Trump has called the pipeline “a very bad thing for NATO” and said that “Germany is totally controlled by Russia.” U.S. senators have threatened sanctions against companies involved in the project. Ukraine and Poland are concerned the new pipeline will make older pipelines in their territories irrelevant.

German leaders are also wary of dependence on Russia but are under considerable pressure to deliver energy to industry. Indeed, among the pipeline’s investors are German companies that want to run their factories, like BASF’s Wintershall subsidiary and Uniper, the German utility. “It’s not that Germany is naive,” says Kirsten Westphal, an energy expert at the German Institute for International and Security Affairs. It’s just pragmatic. “Economically, the judgment is that yes, this gas will be needed, we have an import gap to fill.”

The electricity transmission problem has also opened an opportunity for lignite coal, as coal generation in Germany remains significant, the most carbon-intensive fuel available and the source for nearly a quarter of Germany’s power. Mining companies are expanding their operations in coal-rich regions to strip out the fuel while it is still relevant. In the village of Pödelwitz, 155 miles south of Berlin, most houses feature a white sign with the logo of Mibrag, the German mining giant, which has paid nearly all the 130 residents to relocate. The company plans to level the village and scrape lignite that lies below the soil.

A resurgence in coal helped raise carbon emissions in 2015 and 2016 (2017 saw a slight decline), maintaining Germany’s place as Europe’s largest carbon emitter. Chancellor Angela Merkel has scrapped her pledge to slash carbon emissions to 40 percent of 1990 levels by the year 2020. Several members have threatened to resign from her policy commission on coal if the government allows utility company RWE to mine for lignite in Hambach Forest.

Only a few years ago, during the Paris climate talks, Germany led the EU in pushing for ambitious plans to curb emissions. Now, it seems to be having second thoughts. Recently, the European Union’s climate chief, Miguel Arias Cañete, suggested EU nations step up their commitment to reduce carbon emissions by 45 percent of 1990 levels instead of 40 percent by 2030. “I think we should first stick to the goals we have already set ourselves,” Merkel replied, even as a possible nuclear phaseout U-turn is debated, “I don’t think permanently setting ourselves new goals makes any sense.”

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SCE Wildfire Lawsuits allege utility equipment and power lines sparked deadly Los Angeles blazes; investigations, inverse condemnation, and stricter utility regulations focus on liability, vegetation management, and wildfire safety amid Santa Ana winds.

Key Points

Residents sue SCE, alleging power lines ignited LA wildfires; seeking compensation under inverse condemnation.

✅ Videos cited show sparking lines near alleged ignition points.

✅ SCE denies wrongdoing; probes and inspections ongoing.

✅ Inverse condemnation may apply regardless of negligence.

In the aftermath of devastating wildfires in Los Angeles, residents have initiated legal action, similar to other mega-fire lawsuits underway in California, against Southern California Edison (SCE), alleging that the utility's equipment was responsible for sparking one of the most destructive fires. The fires have resulted in significant loss of life and property, prompting investigations into the causes and accountability of the involved parties.

The Fires and Their Impact

In early January 2025, Los Angeles experienced severe wildfires that ravaged neighborhoods, leading to the loss of at least 29 lives and the destruction of approximately 155 square kilometers of land. Areas such as Pacific Palisades and Altadena were among the hardest hit. The fires were exacerbated by arid conditions and strong Santa Ana winds, which contributed to their rapid spread and intensity.

Allegations Against Southern California Edison

Residents have filed lawsuits against SCE, asserting that the utility's equipment, particularly power lines, ignited the fires. Some plaintiffs have presented videos they claim show sparking power lines in the vicinity of the fire's origin. These legal actions seek to hold SCE accountable for the damages incurred, including property loss, personal injury, and emotional distress.

SCE's Response and Legal Context

Southern California Edison has denied any wrongdoing, stating that it has not detected any anomalies in its equipment that could have led to the fires. The utility has pledged to cooperate fully with investigations to determine the causes of the fires. California's legal framework, particularly the doctrine of "inverse condemnation," allows property owners to seek compensation from utilities for damages caused by public services, even without proof of negligence. This legal principle has been central in previous cases involving utility companies and wildfire damages, and similar allegations have arisen in other jurisdictions, such as an alleged faulty transformer case, highlighting shared risks.

Historical Context and Precedents

This situation is not unprecedented. In 2018, Pacific Gas and Electric (PG&E) faced similar allegations when its equipment was implicated in the Camp Fire, the deadliest wildfire in California's history. PG&E's equipment was found to have ignited the fire, and the company later pleaded guilty in the Camp Fire, leading to extensive litigation and financial repercussions for the company, while its bankruptcy plan won support from wildfire victims during restructuring. The case highlighted the significant risks utilities face regarding wildfire safety and the importance of maintaining infrastructure to prevent such disasters.

Implications for California's Utility Regulations

The current lawsuits against SCE underscore the ongoing challenges California faces in balancing utility operations with wildfire prevention, as regulators face calls for action amid rising electricity bills. The state has implemented stricter regulations and oversight, and lawmakers have moved to crack down on utility spending to mitigate wildfire risks associated with utility infrastructure. Utilities are now required to invest in enhanced safety measures, including equipment inspections, vegetation management, and the implementation of advanced technologies to detect and prevent potential fire hazards. These regulatory changes aim to reduce the incidence of utility-related wildfires and protect communities from future disasters.

The legal actions against Southern California Edison reflect the complex interplay between utility operations, public safety, and environmental stewardship. As investigations continue, the outcomes of these lawsuits may influence future policies and practices concerning utility infrastructure and wildfire prevention in California. The state remains committed to enhancing safety measures to protect its residents and natural resources from the devastating effects of wildfires.

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Smart EV Charging orchestrates vehicle-to-grid (V2G), demand response, and fast charging to balance the power grid, integrating renewables, electrolyzers for hydrogen, and megawatt chargers for fleets with advanced control and co-optimization.

Key Points

Smart EV charging coordinates EV load to stabilize the grid, cut peaks, and integrate renewable energy efficiently.

✅ Reduces peak demand via coordinated, flexible load control

✅ Enables V2G services with renewables and battery storage

✅ Supports megawatt fast charging for heavy-duty fleets

As electric vehicle (EV) sales continue to rev up in the United States, the power grid is in parallel contending with the greatest transformation in its 100-year history: the large-scale integration of renewable energy and power electronic devices. The expected expansion of EVs will shift those challenges into high gear, causing cities to face gigawatt-growth in electricity demand, as analyses of EV grid impacts indicate, and higher amounts of variable energy.

Coordinating large numbers of EVs with the power system presents a highly complex challenge. EVs introduce variable electrical loads that are highly dependent on customer behavior. Electrified transportation involves co-optimization with other energy systems, like natural gas and bulk battery storage, including mobile energy storage flexibility for new operational options. It could involve fleets of automated ride-hailing EVs and lead to hybrid-energy truck stops that provide hydrogen and fast-charging to heavy-duty vehicles.

Those changes will all test the limits of grid integration, but the National Renewable Energy Laboratory (NREL) sees opportunity at the intersection of energy systems and transportation. With powerful resources for simulating and evaluating complex systems, several NREL projects are determining the coordination required for fast charging, balancing electrical supply and demand, and efficient use of all energy assets.

Smart and Not-So-Smart Control
To appreciate the value of coordinated EV charging, it is helpful to imagine the opposite scenario.

"Our first question is how much benefit or burden the super simple, uncoordinated approach to electric vehicle charging offers the grid," said Andrew Meintz, the researcher leading NREL's Electric Vehicle Grid Integration team, as well as the RECHARGE project for smart EV charging. "Then we compare that to the 'whiz-bang,' everything-is-connected approach. We want to know the difference in value."

In the "super simple" approach, Meintz explained that battery-powered electric vehicles grow in market share, exemplified by mass-market EVs, without any evolution in vehicle charging coordination. Picture every employee at your workplace driving home at 5 p.m. and charging their vehicle. That is the grid's equivalent of going 0 to 100 mph, and if it does not wreck the system, it is at least very expensive. According to NREL's Electrification Futures Study, a comprehensive analysis of the impacts of widespread electrification across all U.S. economic sectors, in 2050 EVs could contribute to a 33% increase in energy use during peak electrical demand, underscoring state grid challenges that make these intervals costly when energy reserves are procured. In duck curve parlance, EVs will further strain the duck's neck.

The Optimization and Control Lab's Electric Vehicle Grid Integration bays allow researchers to determine how advanced high power chargers can be added safely and effectively to the grid, with the potential to explore how to combine buildings and EV charging. Credit: Dennis Schroeder, NREL
Meintz's "whiz-bang" approach instead imagines EV control strategies that are deliberate and serve to smooth, rather than intensify, the upcoming demand for electricity. It means managing both when and where vehicles charge to create flexible load on the grid.

At NREL, smart strategies to dispatch vehicles for optimal charging are being developed for both the grid edge, where consumers and energy users connect to the grid, as in RECHARGEPDF, and the entire distribution system, as in the GEMINI-XFC projectPDF. Both projects, funded by the U.S. Department of Energy's (DOE's) Vehicle Technologies Office, lean on advanced capabilities at NREL's Energy Systems Integration Facility to simulate future energy systems.

At the grid edge, EVs can be co-optimized with distributed energy resources—small-scale generation or storage technologies—the subject of a partnership with Eaton that brought industry perspectives to bear on coordinated management of EV fleets.

At the larger-system level, the GEMINI-XFC project has extended EV optimization scenarios to the city scale—the San Francisco Bay Area, to be specific.

"GEMINI-XFC involves the highest-ever-fidelity modeling of transportation and the grid," said NREL Research Manager of Grid-Connected Energy Systems Bryan Palmintier.

"We're combining future transportation scenarios with a large metro area co-simulationPDF—millions of simulated customers and a realistic distribution system model—to find the best approaches to vehicles helping the grid."

GEMINI-XFC and RECHARGE can foresee future electrification scenarios and then insert controls that reduce grid congestion or offset peak demand, for example. Charging EVs involves a sort of shell game, where loads are continually moved among charging stations to accommodate grid demand.

But for heavy-duty vehicles, the load is harder to hide. Electrified truck fleets will hit the road soon, creating power needs for electric truck fleets that translate to megawatts of localized demand. No amount of rerouting can avoid the requirements of charging heavy-duty vehicles or other instances of extreme fast-charging (XFC). To address this challenge, NREL is working with industry and other national laboratories to study and demonstrate the technological buildout necessary to achieve 1+ MW charging stationsPDF that are capable of fast charging at very high energy levels for medium- and heavy-duty vehicles.

To reach such a scale, NREL is also considering new power conversion hardware based on advanced materials like wide-bandgap semiconductors, as well as new controllers and algorithms that are uniquely suited for fleets of charge-hungry vehicles. The challenge to integrate 1+ MW charging is also pushing NREL research to higher power: Upcoming capabilities will look at many-megawatt systems that tie in the support of other energy sectors.

Renewable In-Roads for Hydrogen

At NREL, the drive toward larger charging demands is being met with larger research capabilities. The announcement of ARIES opens the door to energy systems integration research at a scale 10-times greater than current capabilities: 20 MW, up from 2 MW. Critically, it presents an opportunity to understand how mobility with high energy demands can be co-optimized with other utility-scale assets to benefit grid stability.

"If you've got a grid humming along with a steady load, then a truck requires 500 kW or more of power, it could create a large disruption for the grid," said Keith Wipke, the laboratory program manager for fuel cells and hydrogen technologies at NREL.

Such a high power demand could be partially served by battery storage systems. Or it could be hidden entirely with hydrogen production. Wipke's program, with support from the DOE's Hydrogen and Fuel Cell Technologies Office, has been performing studies into how electrolyzers—devices that use electricity to break water into hydrogen and oxygen—could offset the grid impacts of XFC. These efforts are also closely aligned with DOE's H2@Scale vision for affordable and effective hydrogen use across multiple sectors, including heavy-duty transportation, power generation, and metals manufacturing, among others.

"We're simulating electrolyzers that can match the charging load of heavy-duty battery electric vehicles. When fast charging begins, the electrolyzers are ramped down. When fast charging ends, the electrolyzers are ramped back up," Wipke said. "If done smoothly, the utility doesn't even know it's happening."

NREL Researchers Rishabh Jain, Kazunori Nagasawa, and Jen Kurtz are working on how grid integration of electrolyzers—devices that use electricity to break water into hydrogen and oxygen—could offset the grid impacts of extreme fast-charging. Credit: National Renewable Energy Laboratory
As electrolyzers harness the cheap electrons from off-demand periods, a significant amount of hydrogen can be produced on site. That creates a natural energy pathway from discount electricity into a fuel. It is no wonder, then, that several well-known transportation and fuel companies have recently initiated a multimillion-dollar partnership with NREL to advance heavy-duty hydrogen vehicle technologies.

"The logistics of expanding electric charging infrastructure from 50 kW for a single demonstration battery electric truck to 5,000 kW for a fleet of 100 could present challenges," Wipke said. "Hydrogen scales very nicely; you're basically bringing hydrogen to a fueling station or producing it on site, but either way the hydrogen fueling events are decoupled in time from hydrogen production, providing benefits to the grid."

The long driving range and fast refuel times—including a DOE target of achieving 10-minutes refuel for a truck—have already made hydrogen the standout solution for applications in warehouse forklifts. Further, NREL is finding that distributed electrolyzers can simultaneously produce hydrogen and improve voltage conditions, which can add much-needed stability to a grid that is accommodating more energy from variable resources.

Those examples that co-optimize mobility with the grid, using diverse technologies, are encouraging NREL and its partners to pursue a new scale of systems integration. Several forward-thinking projects are reimagining urban mobility as a mix of energy solutions that integrate the relative strengths of transportation technologies, which complement each other to fill important gaps in grid reliability.

The Future of Urban Mobility
What will electrified transportation look like at high penetrations? A few NREL projects offer some perspective. Among the most experimental, NREL is helping the city of Denver develop a smart community, integrated with electrified mobility and featuring automated charging and vehicle dispatch.

On another path to advanced mobility, Los Angeles has embarked on a plan to modernize its electricity system infrastructure, reflecting California EV grid stability goals—aiming for a 100% renewable energy supply by 2045, along with aggressive electrification targets for buildings and vehicles. Through the Los Angeles 100% Renewable Energy Study, the city is currently working with NREL to assess the full-scale impacts of the transition in a detailed analysis that integrates diverse capabilities across the laboratory.

The transition would include the Port of Long Beach, the busiest container port in the United States.

At the port, NREL is applying the same sort of scenario forecasting and controls evaluation as other projects, in order to find the optimal mix of technologies that can be integrated for both grid stability and a reliable quality of service: a mix of hydrogen fuel-cell and battery EVs, battery storage systems, on-site renewable generation, and extreme coordination among everything.

"Hydrogen at ports makes sense for the same reason as trucks: Marine applications have big power and energy demands," Wipke said. "But it's really the synergies between diverse technologies—the existing infrastructure for EVs and the flexibility of bulk battery systems—that will truly make the transition to high renewable energy possible."

Like the Port of Long Beach, transportation hubs across the nation are adapting to a complex environment of new mobility solutions. Airports and public transit stations involve the movement of passengers, goods, and services at a volume exceeding anywhere else. With the transition to digitally connected electric mobility changing how airports plan for the future, NREL projects such as Athena are using the power of high-performance computing to demonstrate how these hubs can maximize the value of passenger and freight mobility per unit of energy, time, and/or cost.

The growth in complexity for transportation hubs has just begun, however. Looking ahead, fleets of ride-sharing EVs, automated vehicles, and automated ride-sharing EV fleets could present the largest effort to manage mobility yet.

A Self-Driving Power Grid
To understand the full impact of future mobility-service providers, NREL developed the HIVE (Highly Integrated Vehicle Ecosystem) simulation framework. HIVE combines factors related to serving mobility needs and grid operations—such as a customer's willingness to carpool or delay travel, and potentially time-variable costs of recharging—and simulates the outcome in an integrated environment.

"Our question is, how do you optimize the management of a fleet whose primary purpose is to provide rides and improve that fleet's dispatch and charging?" said Eric Wood, an NREL vehicle systems engineer.

HIVE was developed as part of NREL's Autonomous Energy Systems research to optimize the control of automated vehicle fleets. That is, optimized routing and dispatch of automated electric vehicles.

The project imagines how price signals could influence dispatch algorithms. Consider one customer booking a commute through a ride-hailing app. Out of the fleet of vehicles nearby—variously charged and continually changing locations—which one should pick up the customer?

Now consider the movements of thousands of passengers in a city and thousands of vehicles providing transportation services. Among the number of agents, the moment-to-moment change in energy supply and demand, and the broad diversity in vendor technologies, "we're playing with a lot of parameters," Wood said.

But cutting through all the complexity, and in the midst of massive simulations, the end goal for vehicle-to-grid integration is consistent:

"The motivation for our work is that there are forecasts for significant load on the grid from the electrification of transportation," Wood said. "We want to ensure that this load is safely and effectively integrated, while meeting the expectations and needs of passengers."

The Port of Long Beach uses a mix of hydrogen fuel-cell and battery EVs, battery storage systems, on-site renewable generation, and extreme coordination among everything. Credit: National Renewable Energy Laboratory
True Replacement without Caveats

Electric vehicles are not necessarily helpful to the grid, but they can be. As EVs become established in the transportation sector, NREL is studying how to even out any bumps that electrified mobility could cause on the grid and advance any benefits to commuters or industry.

"It all comes down to load flexibility," Meintz said. "We're trying to decide how to optimally dispatch vehicle charging to meet quality-of-service considerations, while also minimizing charging costs."

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Alberta coal phaseout accelerates as utilities convert to natural gas, cutting emissions under TIER regulations and deploying hydrogen-ready, carbon capture capable plants, alongside new solar projects in a competitive, deregulated electricity market.

Key Points

A provincewide shift from coal to natural gas and renewables, cutting power emissions years ahead of the 2030 target.

✅ Capital Power, TransAlta converting coal units to gas

✅ TIER pricing drives efficiency, carbon capture readiness

✅ Hydrogen-ready turbines, solar projects boost renewables

Alberta is set to meet its goal to eliminate coal-fired electricity production years earlier than its 2030 target, amid a broader shift to cleaner energy in the province, thanks to recently announced utility conversion projects.

Capital Power Corp.’s plan to spend nearly $1 billion to switch two coal-fired power units west of Edmonton to natural gas, and stop using coal entirely by 2023, was welcomed by both the province and the Pembina Institute environmental think-tank.

In 2014, 55 per cent of Alberta’s electricity was produced from 18 coal-fired generators. The Alberta government announced in 2015 it would eliminate emissions from coal-fired electricity generation by 2030.

Dale Nally, associate minister of Natural Gas and Electricity, said Friday that decisions by Capital Power and other utilities to abandon coal will be good for the environment and demonstrates investor confidence in Alberta’s deregulated electricity market, where the power price cap has come under scrutiny.

He credited the government’s Technology Innovation and Emissions Reduction (TIER) regulations, which put a price on industrial greenhouse gas emissions, as a key factor in motivating the conversions.

“Capital Power’s transition to gas is a great example of how private industry is responding effectively to TIER, as it transitions these facilities to become carbon capture and hydrogen ready, which will drive future emissions reductions,” Nally said in an email.

Capital Power said direct carbon dioxide emissions at its Genesee power facility near Edmonton will be about 3.4 million tonnes per year lower than 2019 emission levels when the project is complete.

It says the natural gas combined cycle units it’s installing will be the most efficient in Canada, adding they will be capable of running on 30 per cent hydrogen initially, with the option to run on 95 per cent hydrogen in future with minor investments.

In November, Calgary-based TransAlta Corp. said it will end operations at its Highvale thermal coal mine west of Edmonton by the end of 2021 as it switches to natural gas at all of its operated coal-fired plants in Canada four years earlier than previously planned.

The Highvale surface coal mine is the largest in Canada, and has been in operation on the south shore of Wabamun Lake in Parkland County since 1970.

The moves by the two utilities and rival Atco Ltd., which announced three years ago it would convert to gas at all of its plants by this year, mean significant emissions reduction and better health for Albertans, said Binnu Jeyakumar, director of clean energy for Pembina.

“Alberta’s early coal phaseout is also a great lesson in good policy-making done in collaboration with industry and civil society,” she said.

“As we continue with this transformation of our electricity sector, it is paramount that efforts to support impacted workers and communities are undertaken.”

She added the growing cost-competitiveness of renewable energy, such as wind power, makes coal plant retirements possible, applauding Capital Power’s plans to increase its investments in solar power.

In Ontario, clean power policy remains a focus as the province evaluates its energy mix.

The company announced it would go ahead with its 75-megawatt Enchant Solar power project in southern Alberta, investing between $90 million and $100 million, and that it has signed a 25-year power purchase agreement with a Canadian company for its 40.5-MW Strathmore Solar project now under construction east of Calgary.
 

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