Duke argues for coal plants: Public can have its say on power plan

Atlantic Clean Power Superhighway outlines a federally backed transmission grid upgrade for Atlantic Canada, adding 2,000 MW of renewable energy via interprovincial ties, improved hydro access from Quebec and Newfoundland and Labrador, with utility-regulator funding.

Key Points

A federal-provincial plan upgrading Atlantic Canada's grid to deliver 2,000 MW of renewables via interprovincial links.

✅ $2M technical review to rank priority transmission projects

✅ Target: add 2,000 MW renewable power to Atlantic grid

✅ Cost-sharing by utilities, regulators, and federal-provincial funding

The federal government will spend $2 million on an engineering study to improve the Atlantic region's electricity grid.

The study was announced Friday at a news conference held by 10 federal and provincial politicians at a meeting of the Atlantic Growth Strategy in Halifax, which includes ongoing regulatory reform efforts for cleaner power in Atlantic Canada.

The technical review will identify the most important transmission projects including inter-provincial ties needed to move electricity across the region.

Nova Scotia Premier Stephen McNeil said the results are expected in July.

Provinces will apply to the federal government for federal funding to build the infrastructure. Utilities in each province will be expected to pay some portion of the cost by applying to respective regulators, but what share falls to ratepayers is not known.

​Federal Intergovernmental Affairs Minister Dominic LeBlanc characterized the grid improvements as something that will cost hundreds of millions of dollars.

He said the study was the first step toward "a clean power superhighway across the region.

"We have a historic opportunity to quickly get to work on upgrading ultimately a whole series of transmission links of inter-provincial ties. That's something that the government of Canada would be anxious to work with in terms of collaborating with the provinces on getting that right."

Premier McNeil referred specifically to improving hydro access from Quebec and Newfoundland and Labrador.

For context, a massive cross-border hydropower line to New York is planned, illustrating the scale of projects under consideration.

Goal of 2,000 megawatts

McNeil said the goal was to bring an additional 2,000 megawatts of renewable electricity into the region.

"I can't stress to you enough how critical this will be for the future economic success and stability of Atlantic Canada, especially as Atlantic grids face intensifying storms," he said.

Federal Immigration Minister Ahmed Hussen also announced a pilot project to attract immigrant workers will be extended by two years to the end of 2021.

International graduate students will be given 24 months to apply under the program — a one-year increase.

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Ontario-Quebec Electricity Trade Agreement ends as Ontario pivots to IESO procurement, hydropower alternatives, natural gas capacity, and energy auctions, impacting grid reliability, power imports, and GHG emissions across both provincial markets.

Key Points

A seven-year power import pact; Ontario will end it, shifting to IESO procurement and gas capacity.

✅ Seasonal hydropower exchange of 2.3 TWh annually.

✅ IESO projects Quebec supply constraints by decade end.

✅ Ontario adds gas, auctions; near-term sector GHGs rise.

The Ontario government does not plan to renew the Ontario-Quebec electricity trade agreement, Radio-Canada is reporting.

The seven-year contract, which expires next year, aims to reduce Ontario's greenhouse gas (GHG) emissions by buying 2.3 Terawatt-hours of electricity from Quebec annually — that corresponds to about seven per cent of Hydro-Quebec's average annual exports.

The announcement comes as the provincially owned Quebec utility continues its legal battle over a plan to export power to Massachusetts.

The Ontario agreement has guaranteed a seasonal exchange of energy, since Quebec has a power surplus in summer, and the province's electricity needs increase in the winter. Ontario plans on exercising its last and only option in the summer of 2026, for a block of 500 megawatts.

The office of the Ontario Minister of Energy Todd Smith says the province will save money by relying "on a competitive procurement process" instead, amid debates over clean, affordable electricity policy in Ontario. And, the Independent Electricity System Operator (IESO), the equivalent of Hydro-Quebec in Ontario, added that, at any rate, Quebec is expected to "run out of electricity in the middle or at the end of the decade."

During the Quebec election campaign, Premier Francois Legault said his province needed to increase hydroelectricity production because he is expecting demand for hydroelectricity to increase by an additional 100 terawatt-hours in the coming decades — half of Hydro-Quebec's current annual output.

Coalition Avenir Quebec pitches more hydro dams to Quebec voters
The provinces will still continue to buy and sell power, reaching deals through annual energy auctions.

Eloise Edom, an associate researcher at Polytechnique Montreal's Institut de l'energie Trottier, says the announcement came as somewhat of a surprise because "we're still talking about a lot of energy."

Hydro-Quebec refused to comment on "the SIERE [Independent Electricity System Operator]'s intentions for the agreement, which ends next year," said company spokesperson Lynn St-Laurent.

No green options
Yet Ontario is running out of electricity, even as questions persist about whether it is embracing clean power to meet demand, in part because of plans to refurbish nuclear reactors at the Bruce and Darlington generator stations.

Windsor has already lost out on a $2.5-billion factory because the region is short of electricity for new industrial loads. And by 2025, Toronto will run out of power for the electrification of its transit system, according to the latest estimates from the IESO.

The Ford government recently announced that it hopes to extend the life of the Pickering nuclear station amid ongoing debate. It is also evaluating the possibility of increasing hydroelectricity production at its existing dams.

For now, Ontario is banking on its natural gas plants to meet demand, which have won most recent IESO tenders for contracts running until 2026. Last Friday, the province announced that it was going to buy an additional 1,500 megawatts by 2027.

"The [Ontario energy] minister's expectations may be that the increase in natural gas prices is temporary and that it will fade," energy economist Jean-Thomas Bernard said. "With this in mind, he probably does not want to sign a long-term contract [with Hydro-Quebec] and prefers to buy electricity on a day-to-day basis and through calls for tenders."

If the Quebec deal expires, Ontario, Canada's second highest GHG emitter, would have to increase its emissions for the sector, at least in the medium term, with electricity getting dirtier as gas fills the gap.

Last year, the IESO found that it would be very difficult to set a moratorium on natural gas before 2030. The IESO must produce a final report on the subject for the energy minister by the end of November.

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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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Renewables' Impact on US Wholesale Electricity Prices is clear: DOE analysis shows wind and solar, capacity gains, and natural gas lowering rates, shifting daily patterns, and triggering occasional negative pricing in PJM and ERCOT.

Key Points

DOE data show wind and solar lower wholesale prices, reshape price curves, and cause negative pricing in markets.

✅ Natural gas price declines remain the largest driver of cheaper power

✅ Wind and solar shift seasonal and time-of-day price patterns

✅ Negative wholesale prices appear near high wind and solar output

One of the arguments that's consistently been raised against doing anything about climate change is that it will be expensive. On the more extreme end of the spectrum, there have been dire warnings about plunging standards of living due to skyrocketing electricity prices. The plunging cost of renewables like solar cheaper than gas has largely silenced these warnings, but a new report from the Department of Energy suggests that, even earlier, renewables were actually lowering the price of electricity in the United States.

Plunging prices
The report focuses on wholesale electricity prices in the US. Note that these are distinct from the prices consumers actually pay, which includes taxes, fees, payments to support the grid that delivers the electricity, and so on. It's entirely possible for wholesale electricity prices to drop even as consumers end up paying more, and market reforms determine how those changes are passed through. That said, large changes in the wholesale price should ultimately be passed on to consumers to one degree or another.

The Department of Energy analysis focuses on the decade between 2008 and 2017, and it includes an overall analysis of the US market, as well as large individual grids like PJM and ERCOT and, finally, local prices. The decade saw a couple of important trends: low natural gas prices that fostered a rapid expansion of gas-fired generators and the rapid expansion of renewable generation that occurred concurrently with a tremendous drop in price of wind and solar power.

Much of the electricity generated by renewables in this time period would be more expensive than that generated by wind and solar installed today. Not only have prices for the hardware dropped, but the hardware has improved in ways that provide higher capacity factors, meaning that they generate a greater percentage of the maximum capacity. (These changes include things like larger blades on wind turbines and tracking systems for solar panels.) At the same time, operating wind and solar is essentially free once they're installed, so they can always offer a lower price than competing fossil fuel plants.

With those caveats laid out, what does the analysis show? Almost all of the factors influencing the wholesale electricity price considered in this analysis are essentially neutral. Only three factors have pushed the prices higher: the retirement of some plants, the rising price of coal, and prices put on carbon, which only affect some of the regional grids.

In contrast, the drop in the price of natural gas has had a very large effect on the wholesale power price. Depending on the regional grid, it's driven a drop of anywhere from $7 to $53 per megawatt-hour. It's far and away the largest influence on prices over the past decade.

Regional variation and negative prices
But renewables have had an influence as well. That influence has ranged from roughly neutral to a cost reduction of $2.2 per MWh in California, largely driven by solar. While the impact of renewables was relatively minor, it is the second-largest influence after natural gas prices, and the data shows that wind and solar are reducing prices rather than increasing them.

The reports note that renewables are influencing wholesale prices in other ways, however. The growth of wind and solar caused the pattern of seasonal price changes to shift in areas of high wind and solar, as seen with solar reshaping prices in Northern Europe as daylight hours and wind patterns shift with the seasons. Similarly, renewables have a time-of-day effect for similar reasons, helping explain why the grid isn't 100% renewable today, which also influences the daily timing price changes, something that's not an issue with fossil fuel power.

A map showing the areas where wholesale electricity prices have gone negative, with darker colors indicating increased frequency.
Enlarge / A map showing the areas where wholesale electricity prices have gone negative, with darker colors indicating increased frequency.

US DOE
One striking feature of areas where renewable power is prevalent is that there are occasional cases in which an oversupply of renewable energy produces negative electricity prices in the wholesale market. (In the least-surprising statement in the report, it concludes that "negative prices in high-wind and high-solar regions occurred most frequently in hours with high wind and solar output.") In most areas, these negative prices are rare enough that they don't have a significant influence on the wholesale price.

That's not true everywhere, however. Areas on the Great Plains see fairly frequent negative prices, and they're growing in prevalence in areas like California, the Southwest, and the northern areas of New York and New England, while negative prices in France have been observed in similar conditions. In these areas, negative wholesale prices near solar plants have dropped the overall price by 3%. Near wind plants, that figure is 6%.

None of this is meant to indicate that there are no scenarios where expanded renewable energy could eventually cause wholesale prices to rise. At sufficient levels, the need for storage, backup plants, and grid management could potentially offset their low costs, a dynamic sometimes referred to as clean energy's dirty secret by analysts. But it's clear we have not yet reached that point. And if the prices of renewables continue to drop, then that point could potentially recede fast enough not to matter.

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Rolls-Royce SMR UK Approval underscores nuclear innovation as regulators review a 470 MW factory-built modular reactor, aiming for grid power by 2029 to boost energy security, cut fossil fuels, and accelerate decarbonization.

Key Points

UK regulatory clearance for Rolls-Royce's 470 MW modular reactor, targeting grid power by 2029 to support clean energy.

✅ UK design approval expected by mid 2024

✅ First 470 MW unit aims for grid power by 2029

✅ Modular, factory-built; est. £1.8b per 10-acre site

A Rolls-Royce (RR.L) design for a small modular nuclear reactor (SMR) will likely receive UK regulatory approval by mid-2024, reflecting progress seen in the US NRC safety evaluation for NuScale as a regulatory benchmark, and be able to produce grid power by 2029, Paul Stein, chairman of Rolls-Royce Small Modular Reactors.

The British government asked its nuclear regulator to start the approval process in March, in line with the UK's green industrial revolution agenda, having backed Rolls-Royce’s $546 million funding round in November to develop the country’s first SMR reactor.

Policymakers hope SMRs will help cut dependence on fossil fuels and lower carbon emissions, as projects like Ontario's first SMR move ahead in Canada, showing momentum.

Speaking to Reuters in an interview conducted virtually, Stein said the regulatory “process has been kicked off, amid broader moves such as a Canadian SMR initiative to coordinate development, and will likely be complete in the middle of 2024.

“We are trying to work with the UK Government, and others to get going now placing orders, echoing expansions like Darlington SMR plans in Ontario, so we can get power on grid by 2029.”

In the meantime, Rolls-Royce will start manufacturing parts of the design that are most unlikely to change, while advancing partnerships like a MoU with Exelon to support deployment, Stein added.

Each 470 megawatt (MW) SMR unit costs 1.8 billion pounds ($2.34 billion) and would be built on a 10-acre site, the size of around 10 football fields, though projects in New Brunswick SMR debate have prompted questions about costs and timelines.

Unlike traditional reactors, SMRs are cheaper and quicker to build and can also be deployed on ships and aircraft. Their “modular” format means they can be shipped by container from the factory and installed relatively quickly on any proposed site.

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Ontario Electricity Billing Changes include OEB-backed shifts to time-of-use or tiered pricing, landlord blanket elections, LDC implementation guidance, a customer choice webpage with a bill calculator, and ENDM rate mitigation messaging.

Key Points

They are OEB measures enabling TOU-to-tiered switching, landlord elections, LDC guidance, and ENDM bill messages.

✅ Option to switch from TOU to tiered pricing

✅ Landlord blanket elections on tenant turnover

✅ ENDM-led bill info and rate mitigation messaging

By David Stevens, Aird & Berlis LLP

Electricity consumers in Ontario may see a couple of electricity rate changes in their bills in the coming months.

First, as we have already discussed, as of November 1, 2020, regulated price plan customers will have the option to switch to "tiered pricing" instead of time-of-use (TOU) pricing structures. Those who switch to "tiered pricing" will see changes in their electricity bills.

The Ontario Energy Board (OEB) has now issued final amendments to the Standard Supply Service Code to support the customer election process necessary to switch from TOU pricing to tiered pricing. The main change from what was already published in previous OEB notices is that landlords will be permitted to make a "blanket election" between TOU pricing and tiered pricing that will apply each time a tenant's account reverts back to the landlord on turnover of the rental unit. In its most recent notice, the OEB acknowledges that implementing the new customer billing option as of Nov. 1 (less than two months from now) will be challenging and directs Local Distribution Companies (LDCs) who cannot meet this date to be immediately in touch with the OEB. Finally, the OEB indicates that there will be a dedicated "customer choice webpage for consumers, including a bill calculator" in place by early October.

Second, as of January 1, 2021 low-volume consumers will see additional messaging on their bills to inform them of available rate mitigation programs.

A recent proposal posted on Ontario's Regulatory Registry indicates that the Ministry of Energy, Northern Development and Mines (ENDM) proposes that LDCs and Utility Sub-Meter Providers will be required to include a new on-bill message for low-volume consumers that "will direct customers to ENDM's new web page for further information about how the province provides financial support to electricity consumers." This new requirement is planned to be in place as of January 1, 2021. In conjunction with this requirement, the ENDM plans to launch a new web page that will provide "up-to-date information about electricity bills," including information about rate mitigation programs available to consumers. Parties are invited to submit comments on the ENDM proposal by October 5, 2020.

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