Nuclear nod makes India a major world player

TransAlta Alberta Data Centre integrates AI, cloud computing, and renewable energy, tackling electricity demand, grid capacity, decarbonization, and energy storage with clean power, cooling efficiency, and PPA-backed supply for hyperscale workloads.

Key Points

TransAlta Alberta Data Centre is a planned AI facility powered mostly by renewables to meet high electricity demand.

✅ Targets partner exclusivity mid-year; ops 18-24 months post-contract.

✅ Supplies ~90% power via TransAlta; balance from market.

✅ Anchors $3.5B clean energy growth and storage in Alberta.

TransAlta Corp., one of Alberta’s leading power producers, is moving toward finalizing agreements with partners to establish a data centre in the province, aligned with AI data center grid integration efforts nationally, aiming to have definitive contracts signed before the end of the year.

CEO John Kousinioris stated during an analyst conference that the company seeks to secure exclusivity with key partners by mid-year, with detailed design plans and final agreements expected by late 2025. Once the contracts are signed, the data centre is anticipated to be operational within 18 to 24 months, a horizon mirrored by Medicine Hat AI grid upgrades initiatives that aim to modernize local systems.

Data centres, which are critical for high-tech industries such as artificial intelligence, consume large amounts of electricity to run and cool servers, a trend reflected in U.S. utility power challenges reporting, underscoring the scale of energy demand. In this context, TransAlta plans to supply around 90% of its partner's energy needs for the facility, with the remainder coming from the broader electricity market.

Alberta has identified data centres as a strategic priority, aiming to see $100 billion in AI-related data centre construction over the next five years. However, the rapid growth of this sector presents challenges for the region’s energy infrastructure. Electricity demand from data centres has already outpaced the available capacity in Alberta’s power grid, intensifying discussions about a western Canadian electricity grid to improve regional reliability, potentially impacting the province’s decarbonization goals.

To address these challenges, TransAlta has adopted a renewable energy investment strategy. The company announced a $3.5 billion growth plan focused primarily on clean electricity generation and storage, as British Columbia's clean energy shift advances across the region, through 2028. By then, more than two-thirds of TransAlta’s earnings are expected to come from renewable power generation, supporting progress toward a net-zero electricity grid by 2050 nationally.

The collaboration between TransAlta and data centre developers represents an opportunity to balance growing energy demand with sustainability goals. By integrating renewable energy generation into data centre operations and broader macrogrid investments, Alberta could move toward a cleaner and more resilient energy future.

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UK Net Zero Policy Delay shifts EV sales ban to 2035, eases boiler phase-outs, keeps ZEV mandate, backs North Sea oil and gas, accelerates onshore wind and grid upgrades while targeting 2050 emissions goals.

Key Points

Delay moves EV and heating targets to 2035, tweaks mandates, and shifts energy policy, keeping the 2050 net zero goal.

✅ EV sales ban shifts to 2035; ZEV mandate trajectory unchanged

✅ Heat pump grants rise to £7,500; boiler phase-out eased

✅ North Sea oil, onshore wind, grid and nuclear plans advance

British Prime Minister Rishi Sunak has said he would delay targets for changing cars and domestic heating to maintain the consent of the British people in the switch to net zero as part of the global energy transition under way.

Sunak said Britain was still committed to achieving net zero emissions by 2050, similar to Canada's race to net zero goals, and denied watering down its climate targets.

Here are some of the current emissions targets for Britain's top polluting sectors and how the announcement impacts them.

TRANSPORTATION
Transport accounts for more than a third (34%) of Britain's total carbon dioxide (CO2) emissions, the most of any sector.

Sunak announced a delay to introducing a ban on new petrol and diesel cars and vans. It will now come into force in 2035 rather than in 2030.

There were more than 1.1 million electric cars in use on UK roads as of April - up by more than half from the previous year to account for roughly one in every 32 cars, according to the country's auto industry trade body.

The current 2030 target was introduced in November 2020 as a central part of then-Prime Minister Boris Johnson's plans for a "green revolution". As recently as Monday, transport minister Mark Harper restated government support for the policy.

Britain’s independent climate advisers, the Climate Change Committee, estimated a 2030 phase out of petrol, diesel and hybrid vehicles could save up to 110 million tons of carbon dioxide equivalent emissions compared with a 2035 phase out.

ohnson's policy already allowed for the continued sale of hybrid cars and vans that can drive long stretches without emitting carbon until 2035.

The transition is governed by a zero-emission vehicle (ZEV) mandate, a shift echoed by New Zealand's electricity transition debates, which means manufacturers must ensure an increasing proportion of the vehicles they sell in the UK are electric.

The current proposal is for 22% of a car manufacturer's sales to be electric in 2024, rising incrementally each year to 100% in 2035.

The government said on Wednesday that all sales of new cars from 2035 would still be zero emission.

Sunak said that proposals that would govern how many passengers people should have in a car, or proposals for new taxes to discourage flying, would be scrapped.

RESIDENTIAL
Residential emissions, the bulk of which come from heating, make up around 17% of the country's CO2 emissions.

The government has a target to reduce Britain's energy consumption from buildings and industry by 15% by 2030, and had set a target to phase out installing new and replacement gas boilers from 2035, as the UK moves towards heat pumps, amid an IEA report on Canada's power needs noting more electricity will be required.

Sunak said people would have more time to transition, and the government said that off-gas-grid homes could continue to install oil and liquefied petroleum gas boilers until 2035, rather than being phased out from 2026.

However, his announcements that the government would not force anyone to rip out an existing boiler and that people would only have to make the switch when replacing one from 2035 restated existing policy.

He also said there would be an exemption so some households would never have to switch, but the government would increase an upgrade scheme that gives people cash to replace their boilers by 50% to 7,500 pounds ($9,296.25).

Currently almost 80% of British homes are heated by gas boilers. In 2022, 72,000 heat pumps were installed. The government had set a target of 600,000 heat pump installations per year by 2028.

A study for Scottish Power and WWF UK in June found that 6 million homes would need to be better insulated by 2030 to meet the government's target to reduce household energy consumption, but current policies are only expected to deliver 1.1 million.

The study, conducted by Frontier Economics, added that 1.5 million new homes would still need heat pumps installed by 2030.

Sunak said that the government would subsidise people who wanted to make their homes energy efficient but never force a household to do it.

The government also said it was scrapping policies that would force landlords to upgrade the energy efficiency of their properties.

ENERGY
The energy sector itself is a big emitter of greenhouse gases, contributing around a quarter of Britain's emissions, though the UK carbon tax on coal has driven substantial cuts in coal-fired electricity in recent years.

In July, Britain committed to granting hundreds of licences for North Sea oil and gas extraction as part of efforts to become more energy independent.

Sunak said he would not ban new oil and gas in the North Sea, and that future carbon budgets for governments would have to be considered alongside the plans to meet them.

He said the government would shortly bring forward new plans for energy infrastructure to improve Britain's grid, including the UK energy plan, while speeding up planning.

Offshore wind power developers warned earlier this month that Britain's climate goals could be at risk, even as efforts like cleaning up Canada's electricity highlight the importance of power-sector decarbonization, after a subsidy auction for new renewable energy projects did not attract any investment in those planned off British coasts.

Britain is aiming to develop 50 gigawatts (GW) of offshore wind capacity by 2030, up from around 14 GW now.

Sunak highlighted that Britain is lifting a ban on onshore wind, investing in carbon capture and building new nuclear power stations.

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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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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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Manitoba Hydro Court Ruling affirms the Public Utilities Board exceeded its jurisdiction by ordering a First Nations rate class, overturning an electricity rates appeal tied to geography, poverty, and regulatory authority in Manitoba.

Key Points

A decision holding the PUB lacked authority to create a First Nations rate class, restoring uniform electricity pricing.

✅ Court says PUB exceeded jurisdiction creating on-reserve rate

✅ Equalized electricity pricing reaffirmed across Manitoba

✅ Geography, not poverty, found decisive in unlawful rate class

Manitoba Hydro was wrongly forced to create a new rate class for electricity customers living on First Nations, the Manitoba Court of Appeal has ruled. 

The court decided the Public Utilities Board "exceeded its jurisdiction" by mandating Indigenous customers on First Nations could have a different electricity rate from other Manitobans. 

The board made the order in 2018, which exempted those customers from the general rate increase that year of 3.6 per cent.

"The directive constituted the creation and implementation of general social policy, an area outside of the PUB's jurisdiction and encroaching into areas that are better suited to the federal and provincial government," says the decision, which was released Tuesday.

Hydro's appeal of the PUB's decision went to court earlier this year.

At the time, the Crown corporation acknowledged many Indigenous people on First Nations live in poverty, but it argued the Public Utilities Board was overstepping its authority in trying to address the issue by creating a new rate class.

It also argued it was against provincial law to charge different rates in different areas of the province.

The PUB, however, insisted that legislation gives it the right to decide which factors are relevant when considering electricity prices, such as social issues. 

Special Manitoba Hydro rate class needed to offset challenges of living on First Nations, appeal court hears
Manitoba Hydro can appeal order to create special First Nation rate
The board had heard evidence that some customers were making "unacceptable" sacrifices to keep the lights on each month.

Decision 'heavy-handed': AMC
The Assembly of Manitoba Chiefs, an intervener in the appeal, had backed the utility board's position. It said on-reserve customers are disproportionately vulnerable to rate hikes over time.

Grand Chief Arlen Dumas said Wednesday he was surprised by the court's ruling. 

He argued Indigenous people are unduly excluded in the setting of electricity rates in Manitoba.

"I will be speaking with my federal and provincial counterparts on how we deal with this issue, because I think it's the wrong [decision]. It's heavy-handed and we need to address it."

The appeal court judges said there is past precedent for setting equal electricity rates, regardless of where customers live. Legislation to that effect was made in the early 2000s and a few years ago, the PUB recognized that geographical limitations should not be imposed on a class of customers.

Since the board's new order didn't extend the same savings to First Nations members who don't live on reserve but face similar financial circumstances, it is clear the deciding factor was geography, rather than poverty or treaty status, the judges said.

Manitoba Hydro temporarily cutting 200 jobs, many of them front-line workers
"In my view, the PUB erred in law when it created an on-reserve class based solely on a geographic region of the province in which customers are located," the decision read.

While Manitoba Hydro objected to the PUB's order in 2018, it still devoted money to create the new customer class.

Spokesperson Bruce Owen said the utility is still studying the impact of the court's decision, but it appreciates the ruling.  

"We all recognize that many people on First Nations have challenges, but our argument was solely on whether or not the PUB had the authority to create a special rate class based on where people live."

Owen added that Hydro recognizes electricity rates can be a hardship on individuals facing poverty. He said those considerations are part of the discussions the corporation has with the utilities board.

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Hertel-New York Interconnection delivers Hydro-Quebec renewable energy via a cross-border transmission line to New York City by 2025, supplying 1,250 MW through underground and underwater routes under a 25-year contract.

Key Points

A cross-border line delivering 1,250 MW of Hydro-Quebec hydropower to New York City via underground routes.

✅ 1,250 MW clean power to NYC by 2025

✅ 56.1 km underground, 1.6 km underwater in Quebec

✅ 25-year contract; Mohawk partnership revenue

Hydro-Quebec announced Thursday it has chosen the route for the Hertel-New York interconnection line, which will begin construction in the spring of 2023 in Quebec.

The project will deliver 1,250 megawatts of Quebec hydroelectricity to New York City starting in 2025, even as a recent electricity shortage report warns about rising demand at home.

It's a 25-year contract for Hydro-Quebec, the largest export contract for the province-owned company, and comes as hydrogen production investments gain traction in Eastern Canada.

The Crown corporation has not disclosed potential revenues from the project, but Premier François Legault mentioned on social media last September that a deal in principle worth more than $20 billion over 25 years was in the works.

The route includes a 56.1-kilometre underground and a 1.6-kilometre underwater section, similar to the Lake Erie Connector project planned under Lake Erie.

Eight municipalities in the Montérégie region will be affected: La Prairie, Saint-Philippe, Saint-Jacques-le-Mineur, Saint-Édouard, Saint-Patrice-de-Sherrington, Saint-Cyprien-de-Napierville, Saint-Bernard-de-Lacolle and Lacolle.

Across the country, new renewables such as wind projects in Yukon are receiving federal support, reflecting broader grid decarbonization.

The last part of the route will run along Fairbanks Creek to the Richelieu River, where it will connect with the American network.

Further south, there will be a 545-kilometre link between the Canada-U.S. border and New York City, while a separate Maine transmission approval advances a New England pathway for Quebec power.

Hydro-Quebec is holding two consultations on the project, on Dec. 8 in Lacolle and Dec. 9 in Saint-Jacques-le-Mineur.

Elsewhere in Atlantic Canada, EV-to-grid integration pilots are underway to test how vehicles can support the power system.

Once the route is in service, the Quebec line will be subject to a partnership between Hydro-Quebec and the Mohawk Council of Kahnawake, which will benefit from economic remunerations for 40 years.

To enhance reliability, grid-scale battery storage projects are also expanding in Ontario.

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