Power sector faces labour shortage

Ontario Clean Electricity Regulations accelerate renewable energy adoption, drive emissions reduction, and modernize the smart grid with energy storage, efficiency targets, and reliability upgrades to support decarbonization and a stable power system for Ontario.

Key Points

Standards to cut emissions, grow renewables, improve efficiency, and modernize the grid with storage and smart systems.

✅ Phases down fossil generation and invests in storage.

✅ Sets utility efficiency targets to curb demand growth.

✅ Upgrades to smart grid for reliability and resiliency.

Ontario has taken a significant step forward in its energy transition with the introduction of new clean electricity regulations. These regulations, complementing federal Clean Electricity Regulations, aim to reduce carbon emissions, promote sustainable energy sources, and ensure a cleaner, more reliable electricity grid for future generations. This article explores the motivations behind these regulations, the strategies being implemented, and the expected impacts on Ontario’s energy landscape.

The Need for Clean Electricity

Ontario, like many regions around the world, is grappling with the effects of climate change, including more frequent and severe weather events. In response, the province has set ambitious targets to reduce greenhouse gas emissions and increase the use of renewable energy sources, reflecting trends seen in Alberta’s path to clean electricity across Canada. The electricity sector plays a central role in this transition, as it is responsible for a significant portion of the province’s carbon footprint.

For years, Ontario has been moving away from coal as a source of electricity generation, and now, with the introduction of these new regulations, the province is taking a step further in decarbonizing its grid, including its largest competitive energy procurement to date. By setting clear goals and standards for clean electricity, the province hopes to meet its environmental targets while ensuring a stable and affordable energy supply for all Ontarians.

Key Aspects of the New Regulations

The regulations focus on encouraging the use of renewable energy sources such as wind, solar, hydroelectric, and geothermal power. One of the key elements of the plan is the gradual phase-out of fossil fuel-based energy sources. This shift is expected to be accompanied by greater investments in energy storage solutions, including grid batteries, to address the intermittency issues often associated with renewable energy sources.

Ontario’s new regulations also emphasize the importance of energy efficiency in reducing overall demand. As part of this initiative, utilities and energy providers will be required to meet strict energy-saving targets and participate in new electricity auctions designed to reduce costs, ensuring that both consumers and businesses are incentivized to use energy more efficiently.

In addition, the regulations promote technological innovation in the electricity sector. By supporting the development of smart grids, energy storage technologies, and advanced power management systems, Ontario is positioning itself to become a leader in the global energy transition.

Impact on the Economy and Jobs

One of the anticipated benefits of the clean electricity regulations is their positive impact on Ontario’s economy. As the province invests in renewable energy infrastructure and clean technologies, new job opportunities are expected to arise in industries such as manufacturing, construction, and research and development. These regulations also encourage innovation in energy services, which could lead to the growth of new companies and industries, while easing pressures on industrial ratepayers through complementary measures.

Furthermore, the transition to cleaner energy is expected to reduce the long-term costs associated with climate change. By investing in sustainable energy solutions now, Ontario will help mitigate the financial burdens of environmental damage and extreme weather events in the future.

Challenges and Concerns

While the new regulations have been widely praised for their environmental benefits, they are not without their challenges. One of the primary concerns is the potential cost to consumers, and some Ontario hydro policy critique has called for revisiting legacy pricing approaches to improve affordability. While renewable energy sources have become more affordable over the years, transitioning from fossil fuels could still result in higher electricity prices in the short term. Additionally, the implementation of new technologies, such as smart grids and energy storage, will require substantial upfront investment.

Moreover, the intermittency of renewable energy generation poses a challenge to grid stability. Ontario’s electricity grid must be able to adapt to fluctuations in energy supply as more variable renewable sources come online. This challenge will require significant upgrades to the grid infrastructure and the integration of storage solutions to ensure reliable energy delivery.

The Road Ahead

Ontario’s clean electricity regulations represent an important step in the province’s commitment to combating climate change and transitioning to a sustainable, low-carbon economy. While there are challenges to overcome, the benefits of cleaner air, reduced emissions, and a more resilient energy system will be felt for generations to come. As the province continues to innovate and lead in the energy sector, Ontario is positioning itself to thrive in the green economy of the future.

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Mercury Energy Tilt Renewables acquisition signals a trans-Tasman energy push as PowAR and Mercury split assets via a scheme of arrangement, offering $7.80 per share and a $2.96b valuation across Australia and New Zealand.

Key Points

A PowAR-Mercury deal to buy Tilt Renewables, splitting Australian and New Zealand assets via a court-approved scheme.

✅ $7.80 per share, valuing Tilt at $2.96b

✅ PowAR takes AU assets; Mercury gets NZ business

✅ Infratil and Mercury to vote for the scheme

Mercury Energy and an Australian partner appear to have won the race to buy Tilt Renewables, an Australasian wind farm developer which was spun out of TrustPower, bidding almost $3 billion, amid wider utility consolidation such as the Peterborough Distribution sale to Hydro One.

Yesterday Tilt Renewables announced that it had entered a scheme implementation agreement under which it was proposed that PowAR would acquire its Australian business and Mercury would acquire the New Zealand business, mirroring cross-border approvals where U.S. antitrust clearance shaped Hydro One's bid for Avista.

Conducted through a scheme of arrangement, Tilt shareholders will be offered $7.80 a share, valuing Tilt at $2.96b.

Yesterday morning shares in Tilt opened about 18 per cent up at $7.65, though regulatory outcomes can swing valuations as seen when Hydro One-Avista reconsideration of a U.S. order came into play.

In early December Infratil, which owns around two thirds of Tilt's shares, announced it was undertaking a review of its investment after receiving approaches, with investor sentiment sensitive to governance shifts as when Hydro One shares fell after leadership changes in Ontario.

According to a report in the Australian Financial Review, the transtasman bid beat out other parties including ASX-listed APA Group, Canadian pension fund CDPQ and Australian fund manager Infrastructure Capital Group, as Canadian investors like Ontario Teachers' Plan pursue similar infrastructure deals.

“This compelling acquisition proposal is a result of Tilt Renewables’ constant focus on delivering long-term value for shareholders and the board is pleased that, with these new owners, the transition to renewables in Australia and New Zealand will continue to accelerate,” Tilt’s chairman Bruce Harker said.

Comparable community-led clean energy partnerships, such as initiatives with British Columbia First Nations highlighted in clean-energy generation, underscore the broader momentum.

Just prior to the announcement, Tilt shares had been trading for less than $4. Such repricing reflects how utilities can face perceived uncertainties, as one investor argued too many unknowns at the time.

Mercury is already Tilt’s second largest shareholder, at just under 20 per cent. Both Infratil and Mercury have agreed to vote in favour of the scheme. The deal values Tilt’s New Zealand business at $770m, however the value of Mercury’s existing shareholding is around $585m, meaning the company will increase debt by around $185m.

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California Public Safety Power Shutoffs highlight wildfire prevention as PG&E outages disrupt schools, businesses, and rural communities, driving generator use, economic hardship, and emergency preparedness across Northern California during high-wind events.

Key Points

Utility outages to reduce wildfire risk during extreme winds, impacting homes and businesses in high-risk California.

✅ PG&E cuts power during high winds to prevent wildfires

✅ Costs rise for generators, fuel, batteries, and spoiled food

✅ Rural, low-income communities face greater economic losses

The intentional blackout by California’s largest utility this week put Forest Jones out of work and his son out of school. On Friday morning Mr. Jones, a handyman and single father, sat in his apartment above a tattoo parlor waiting for the power to come back on and for school to reopen.

“I’ll probably lose $400 or $500 dollars because of this,” said Mr. Jones, who lives in the town of Paradise, which was razed by fire last year and is slowly rebuilding. “Things have been really tough up here.”

Millions of people were affected by the blackout, which spanned the outskirts of Silicon Valley to the forests of Humboldt County near the Oregon border. But the outage, which the power company said was necessary to reduce wildfire risk across the region, also drew a line between those who were merely inconvenienced and those who faced a major financial hardship.

To have the lights on, the television running and kitchen appliances humming is often taken for granted in America, even as U.S. grid during coronavirus questions persisted. During California’s blackout it became an economic privilege.

The economic impacts of the shut-off were especially acute in rural, northern towns like Paradise, where incomes are a fraction of those in the San Francisco Bay Area.

Both wealthy and poorer areas were affected by the blackout but interviews across the state suggested that being forced off the grid disproportionately hurt the less affluent. One family in Humboldt County said they had spent $150 on batteries and water alone during the shutdown.

“To be prepared costs money,” Sue Warhaftig, a massage therapist who lives in Mill Valley, a wealthy suburb across the Golden Gate Bridge from San Francisco. Ms. Warhaftig spent around two days without electricity but said she had been spared from significant sacrifices during the blackout.

She invested in a generator to keep the refrigerator running and to provide some light. She cooked in the family’s Volkswagen camper van in her driveway. At night she watched Netflix on her phone, which she was able to charge with the generator. Her husband, a businessman, is in London on a work trip. Her two sons, both grown, live in Southern California and Seattle.

“We were inconvenienced but life wasn’t interrupted,” Ms. Warhaftig said. “But so many people’s lives were.

Pacific Gas & Electric restored power to large sections of Northern California on Friday, including Paradise, where the electricity came back on in the afternoon. But hundreds of thousands of people in other areas remained in the dark. The carcasses of burned cars still littered the landscape around Paradise, where 86 people died in the Camp Fire last year, some of them while trying to escape.

Officials at power company said that by Saturday they hoped to have restored power to 98 percent of the customers who were affected.

The same dangerous winds that spurred the shut-off in Northern California have put firefighters to work in the south. The authorities in Los Angeles County ordered the evacuation of nearly 100,000 people on Friday as the Saddleridge Fire burned nearly 5,000 acres and destroyed 25 structures. The Sandalwood Fire, which ignited Thursday in Riverside County, had spread to more than 800 acres and destroyed 74 structures by Friday afternoon.

While this week’s outage was the first time many customers in Northern California experienced a deliberate power shut-off, residents in and around Paradise have had their power cut four times in recent months, residents say.

Many use a generator, but running one has become increasingly expensive with gasoline now at more than $4 a gallon in California.

On Friday, Dennis and Viola Timmer drove up the hill to their home in Magalia, a town adjacent to Paradise, loaded with $102 dollars of gasoline for their generators. It was their second gasoline run since the power went out Tuesday night.

The couple, retired and on a fixed income after Mr. Timmer’s time in the Navy and in construction, said the power outage had severely limited their ability to do essential tasks like cooking, or to leave the house.

“You know what it feels like? You’re in jail,” said Ms. Timmer, 72. “You can’t go anywhere with the generators running.”

Since the generators are not powerful enough to run heat or air conditioning, the couple slept in their den with an electric space heater.

“It’s really difficult because you don’t have a normal life,” Ms. Timmer said. “You’re trying to survive.”

To be sure, the shutdown has affected many people regardless of economic status, and similar disruptions abroad, like a London power outage that disrupted routines, show how widespread such challenges can be. The areas without power were as diverse as the wealthy suburbs of Silicon Valley, the old Gold Rush towns of the Sierra Nevada, the East Bay of San Francisco and the seaside city of Arcata.

Ms. Cahn’s cellphone ran out of power during the blackout and even when she managed to recharge it in her car cell service was spotty, as it was in many areas hit by the blackout.

Accustomed to staying warm at night with an electric blanket, Ms. Cahn slept under a stack of four blankets.

“I’m doing what I have to do which is not doing very much,” she said.

Further south in Marin City, Chanay Jackson stood surrounded by fumes from generators still powering parts of the city.

She said that food stamps were issued on the first of the month and that many residents who had to throw away food were out of luck.

“They’re not going to issue more food stamps just because the power went out,” Ms. Jackson said. “So they’re just screwed until next month.”

Strong winds have many times in the past caused power lines to come in contact with vegetation, igniting fires that are then propelled by the gusts, and hurricanes elsewhere have crippled infrastructure with Louisiana grid rebuild after Laura according to state officials. This was the case with the Camp Fire.

Since higher elevations had more extreme winds many of the neighborhoods where power was turned off this week were in hills and canyons, including in the Sierra Nevada.

The shut-off, which by one estimate affected a total of 2.5 million people, has come under strong criticism by residents and politicians, and warnings from Cal ISO about rolling blackouts as the power grid strained. The company’s website crashed just as customers sought information about the outage. Gov. Gavin Newsom called it unacceptable. But his comments were nuanced, criticizing the way the shut-off was handled, not the rationale for it. Mr. Newsom and others said the ravages of the Camp Fire demanded preventive action to prevent a reoccurrence.

Yet the calculus of trying to avoid deadly fires by shutting off power will continue to be debated as California enters its peak wildfire season, even as electricity reliability during COVID-19 was generally maintained for most consumers.

In the city of Grass Valley, Matthew Gottschalk said he and his wife realized that a generator was essential when they calculated that they had around $500 worth of food in their fridge.

“I don’t know what we would have done,” said Mr. Gottschalk, whose power went out Tuesday night.

His neighbors are filling coolers with ice. Everyone is hoping the power will come back on soon.

“Ice is going to run out and gas is going to run out,” he said.

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Toronto Electricity Demand Growth underscores IESO projections of rising peak load by 2050, driven by population growth, electrification, new housing density, and tech economy, requiring grid modernization, transmission upgrades, demand response, and local renewable energy.

Key Points

It refers to the projected near-doubling of Toronto's peak load by 2050, driven by electrification and urban growth.

✅ IESO projects peak demand nearly doubling by 2050

✅ Drivers: population, densification, EVs, heat pumps

✅ Solutions: efficiency, transmission, storage, demand response

Toronto faces a significant challenge in meeting the growing electricity needs of its expanding population and ambitious development plans. According to a new report from Ontario's Independent Electricity System Operator (IESO), Toronto's peak electricity demand is expected to nearly double by 2050. This highlights the need for proactive steps to secure adequate electricity supply amidst the city's ongoing economic and population growth.

Key Factors Driving Demand

Several factors are contributing to the projected increase in electricity demand:

Population Growth: Toronto is one of the fastest-growing cities in North America, and this trend is expected to continue. More residents mean more need for housing, businesses, and other electricity-consuming infrastructure.

• New Homes and Density: The city's housing strategy calls for 285,000 new homes within the next decade, including significant densification in existing neighbourhoods. High-rise buildings in urban centers are generally more energy-intensive than low-rise residential developments.
• Economic Development: Toronto's robust economy, a hub for tech and innovation, attracts new businesses, including energy-intensive AI data centers that fuel further demand for electricity.
• Electrification: The push to reduce carbon emissions is driving the electrification of transportation and home heating, further increasing pressure on Toronto's electricity grid.

Planning for the Future

Ontario and the City of Toronto recognize the urgency to secure stable and reliable electricity supplies to support continued growth and prosperity without sacrificing affordability, drawing lessons from British Columbia's clean energy shift to inform local approaches. Officials are collaborating to develop a long-term plan that focuses on:

• Energy Efficiency: Efforts aim to reduce wasteful electricity usage through upgrades to existing buildings, promoting energy-efficient appliances, and implementing smart grid technologies. These will play a crucial role in curbing overall demand.
• New Infrastructure: Significant investments in building new electricity generation, transmission lines, and substations, as well as regional macrogrids to enhance reliability, will be necessary to meet the projected demands of Toronto's future.
• Demand Management: Programs incentivizing energy conservation during peak hours will help to avoid strain on the grid and reduce the need to build expensive power plants only used at peak demand times.

Challenges Ahead

The path ahead isn't without its hurdles.  Building new power infrastructure in a dense urban environment like Toronto can be time-consuming, expensive, and sometimes disruptive, especially as grids face harsh weather risks that complicate construction and operations. Residents and businesses might worry about potential rate increases required to fund these necessary investments.

Opportunity for Innovation

The IESO and the city view the situation as an opportunity to embrace innovative solutions. Exploring renewable energy sources within and near the city, developing local energy storage systems, and promoting distributed energy generation such as rooftop solar, where power is created near the point of use, are all vital strategies for meeting needs in a sustainable way.

Toronto's electricity future depends heavily on proactive planning and investment in modernizing its power infrastructure.  The decisions made now will determine whether the city can support economic growth, address climate goals and a net-zero grid by 2050 ambition, and ensure that lights stay on for all Torontonians as the city continues to expand.
 

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E.ON Digital Transformer Stations modernize distribution grids with smart grid monitoring, voltage control, and remote switching, enabling bidirectional power flow, renewables integration, and rapid fault isolation from centralized grid control centres.

Key Points

Remotely monitored grid nodes enhancing smart grid stability and speedier fault response.

✅ Real-time voltage and current data along feeders and laterals

✅ Remote switching cuts outage duration and truck rolls

✅ Supports renewables and bidirectional power flows

E.ON plans to commission 2500 digital transformer stations in the service areas of its four German distribution grid operators - Avacon, Bayernwerk, E.DIS and Hansewerk - by the end of 2019. Starting this year, E.ON will solely install digital transformer stations in Germany, aligning with 2019 grid edge trends seen across the sector. This way, the digital grid is quite naturally being integrated into E.ON's distribution grids.

With these transformer stations as the centrepiece of the smart grid, it is possible to monitor and control using synchrophasors in the power grid from the grid control centre. This helps to maintain a more balanced utilisation of the grid and, with increasing complexity, ensures continued security of supply.

Until now, the current and voltage parameters required for safe grid operation could usually only be determined at the beginning of a power line, where there is usually a grid substation in place. Controlling current flow and voltage in the downstream system was physically impossible.

In the future, grids will have to function in both directions: they will bring electricity to the customer while at the same time collecting and transmitting more and more green electricity via HVDC technology where appropriate. This requires physical data to be made available along the entire route. To ensure security of supply, voltage fluctuations must be kept within narrowly defined limits and the current flow must not exceed the specified value, while reducing line losses with superconducting cables remains an important consideration. To manage this challenge, it is necessary to install digital technology.

The possibility of remotely controlling grids also reduces downtimes in the event of faults and supports a smarter electricity infrastructure approach. With the new technology, our grid operators can quickly and easily access the stations of the affected line. The grid control centres can thus limit and eliminate faults on individual line sections within a very short space of time.

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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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