A new approach finds materials that can turn waste heat into electricity


thermoelectric materials

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Thermoelectric Materials convert waste heat into electricity via the Seebeck effect; quantum computations and semiconductors accelerate discovery, enabling clean energy, higher efficiency, and scalable heat-to-power conversion from abundant, non-toxic, cost-effective compounds.

 

Key Points

Thermoelectric materials turn waste heat into electricity via the Seebeck effect, improving energy efficiency.

✅ Convert waste heat to electricity via the Seebeck effect

✅ Quantum computations rapidly identify high-performance candidates

✅ Target efficient, low-thermal-conductivity, non-toxic, abundant compounds

 

The need to transition to clean energy is apparent, urgent and inescapable. We must limit Earth’s rising temperature to within 1.5 C to avoid the worst effects of climate change — an especially daunting challenge in the face of the steadily increasing global demand for energy and the need for reliable clean power, with concepts that can generate electricity at night now being explored worldwide.

Part of the answer is using energy more efficiently. More than 72 per cent of all energy produced worldwide is lost in the form of heat, and advances in turning thermal energy into electricity could recover some of it. For example, the engine in a car uses only about 30 per cent of the gasoline it burns to move the car. The remainder is dissipated as heat.

Recovering even a tiny fraction of that lost energy would have a tremendous impact on climate change. Thermoelectric materials, which convert wasted heat into useful electricity, can help, especially as researchers pursue low-cost heat-to-electricity materials for scalable deployment.

Until recently, the identification of these materials had been slow. My colleagues and I have used quantum computations — a computer-based modelling approach to predict materials’ properties — to speed up that process and identify more than 500 thermoelectric materials that could convert excess heat to electricity, and help improve energy efficiency.


Making great strides towards broad applications
The transformation of heat into electrical energy by thermoelectric materials is based on the “Seebeck effect.” In 1826, German physicist Thomas Johann Seebeck observed that exposing the ends of joined pieces of dissimilar metals to different temperatures generated a magnetic field, which was later recognized to be caused by an electric current.

Shortly after his discovery, metallic thermoelectric generators were fabricated to convert heat from gas burners into an electric current. But, as it turned out, metals exhibit only a low Seebeck effect — they are not very efficient at converting heat into electricity.

In 1929, the Russian scientist Abraham Ioffe revolutionized the field of thermoelectricity. He observed that semiconductors — materials whose ability to conduct electricity falls between that of metals (like copper) and insulators (like glass) — exhibit a significantly higher Seebeck effect than metals, boosting thermoelectric efficiency 40-fold, from 0.1 per cent to four per cent.

This discovery led to the development of the first widely used thermoelectric generator, the Russian lamp — a kerosene lamp that heated a thermoelectric material to power a radio.


Are we there yet?
Today, thermoelectric applications range from energy generation in space probes to cooling devices in portable refrigerators, and include emerging thin-film waste-heat harvesters for electronics as well. For example, space explorations are powered by radioisotope thermoelectric generators, converting the heat from naturally decaying plutonium into electricity. In the movie The Martian, for example, a box of plutonium saved the life of the character played by Matt Damon, by keeping him warm on Mars.

In the 2015 film, The Martian, astronaut Mark Watney (Matt Damon) digs up a buried thermoelectric generator to use the power source as a heater.

Despite this vast diversity of applications, wide-scale commercialization of thermoelectric materials is still limited by their low efficiency.

What’s holding them back? Two key factors must be considered: the conductive properties of the materials, and their ability to maintain a temperature difference, as seen in nighttime electricity from cold concepts, which makes it possible to generate electricity.

The best thermoelectric material would have the electronic properties of semiconductors and the poor heat conduction of glass. But this unique combination of properties is not found in naturally occurring materials. We have to engineer them, drawing on advances such as carbon nanotube energy harvesters to guide design choices.

Searching for a needle in a haystack
In the past decade, new strategies to engineer thermoelectric materials have emerged due to an enhanced understanding of their underlying physics. In a recent study in Nature Materials, researchers from Seoul National University, Aachen University and Northwestern University reported they had engineered a material called tin selenide with the highest thermoelectric performance to date, nearly twice that of 20 years ago. But it took them nearly a decade to optimize it.

To speed up the discovery process, my colleagues and I have used quantum calculations to search for new thermoelectric candidates with high efficiencies. We searched a database containing thousands of materials to look for those that would have high electronic qualities and low levels of heat conduction, based on their chemical and physical properties. These insights helped us find the best materials to synthesize and test, and calculate their thermoelectric efficiency.

We are almost at the point where thermoelectric materials can be widely applied, but first we need to develop much more efficient materials. With so many possibilities and variables, finding the way forward is like searching for a tiny needle in an enormous haystack.

Just as a metal detector can zero in on a needle in a haystack, quantum computations can accelerate the discovery of efficient thermoelectric materials. Such calculations can accurately predict electron and heat conduction (including the Seebeck effect) for thousands of materials and unveil the previously hidden and highly complex interactions between those properties, which can influence a material’s efficiency.

Large-scale applications will require themoelectric materials that are inexpensive, non-toxic and abundant. Lead and tellurium are found in today’s thermoelectric materials, but their cost and negative environmental impact make them good targets for replacement.

Quantum calculations can be applied in a way to search for specific sets of materials using parameters such as scarcity, cost and efficiency, and insights can even inform exploratory devices that generate electricity out of thin air in parallel fields. Although those calculations can reveal optimum thermoelectric materials, synthesizing the materials with the desired properties remains a challenge.

A multi-institutional effort involving government-run laboratories and universities in the United States, Canada and Europe has revealed more than 500 previously unexplored materials with high predicted thermoelectric efficiency. My colleagues and I are currently investigating the thermoelectric performance of those materials in experiments, and have already discovered new sources of high thermoelectric efficiency.

Those initial results strongly suggest that further quantum computations can pinpoint the most efficient combinations of materials to make clean energy from wasted heat and the avert the catastrophe that looms over our planet.

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$453M Manitoba Hydro line to Minnesota could face delay after energy board recommendation

Manitoba-Minnesota Transmission Project faces NEB certificate review, with public hearings, Indigenous consultation, and cross-border approval weighing permit vs certificate timelines, potential land expropriation, and Hydro's 2020 in-service date for the 308-MW intertie.

 

Key Points

A cross-border hydro line linking Manitoba and Minnesota, now under NEB review through a permit or certificate process.

✅ NEB recommends certificate with public hearings and cabinet approval

✅ Stakeholders cite land, health, and economic impacts along route

✅ Hydro targets May-June 2020 in-service despite review

 

A recommendation from the National Energy Board could push back the construction start date of a $453-million hydroelectric transmission line from Manitoba to Minnesota.

In a letter to federal Natural Resources Minister Jim Carr, the regulatory agency recommends using a "certificate" approval process, which could take more time than the simpler "permit" process Manitoba Hydro favours.

The certificate process involves public hearings, reflecting First Nations intervention seen in other power-line debates, to weigh the merits of the project, which would then go to the federal cabinet for approval.

The NEB says this process would allow for more procedural flexibility and "address Aboriginal concerns that may arise in the circumstances of this process."

The Manitoba-Minnesota Transmission Project would provide the final link in a chain that brings hydroelectricity from generating stations in northern Manitoba, through the Bipole III transmission line and, like the New England Clean Power Link project, across the U.S. border as part of a 308-megawatt deal with the Green Bay-based Wisconsin Public Service.

When Hydro filed its application in December 2016, it had expected to have approval by the end of August 2017 and to begin construction on the line in mid-December, in order to have the line in operation by May or June 2020.  

Groups representing stakeholders along the proposed route of the transmission line had mixed reactions to the energy board's recommendation.

A lawyer representing a coalition of more than 120 landowners in the Rural Municipality of Taché and around La Broquerie, Man., welcomed the opportunity to have a more "fulsome" discussion about the project.

"I think it's a positive step. As people become more familiar with the project, the deficiencies with it become more obvious," said Kevin Toyne, who represents the Southeast Stakeholders Coalition.

Toyne said some coalition members are worried that Hydro will forcibly expropriate land in order to build the line, while others are worried about potential economic and health impacts of having the line so close to their homes. They have proposed moving the line farther east.

When the Clean Environment Commission — an arm's-length provincial government agency — held public hearings on the proposed route earlier this year, the coalition brought their concerns forward, echoing Site C opposition voiced by northerners, but Toyne says both the commission and Hydro ignored them.

Hydro still aiming for 2020 in-service date

The Manitoba Métis Federation also participated in those public hearings. MMF president David Chartrand worries about the impact a possible delay, as seen with the Site C work halt tied to treaty rights, could have on revenue from sales of hydroelectric power to the U.S.

"I know that a lot of money, billions have been invested on this line. And if the connection line is not done, then of course this will be sitting here, not gaining any revenue, which will affect every Métis in this province, given our Hydro bill's going to go up," Chartrand said.The NEB letter to Minister Carr requests that he "determine this matter in an expedited manner."

Manitoba Hydro spokesperson Bruce Owen said in an email that the Crown corporation will participate in whatever process, permit or certificate, the NEB takes.

"Manitoba Hydro does not have any information at this point in time that would change the estimated in-service date (May-June 2020) for the Manitoba-Minnesota Transmission Project," he said.

The federal government "is currently reviewing the NEB's recommendation to designate the project as subject to a certificate, which would result in public hearings," said Alexandre Deslongchamps, a spokesperson for Carr.

"Under the National Energy Board Act, an international power line requires either the approval by the NEB through a permit or approval by the Government of Canada by a certificate. Both must be issued by the NEB," he wrote in an email to CBC News.

By law, the certificate process is not to take longer than 15 months.

 

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'Unlayering' peak demand could accelerate energy storage adoption

Duration Portfolio Energy Storage aligns layered peak demand with right-sized batteries, enabling peak shaving, gas peaker replacement, and solar-plus-storage synergy while improving grid flexibility, reliability, and T&D deferral through two- to four-hour battery durations.

 

Key Points

An approach that layers battery durations to match peaks, cut costs, replace peakers, and boost grid reliability.

✅ Layers 2- to 4-hour batteries by peak duration

✅ Enables solar-plus-storage and peak shaving

✅ Cuts T&D upgrades, emissions, and fuel costs

 

The debate over energy storage replacing gas-fired peakers has raged for years, but a new approach that shifts the terms of the argument could lead to an acceleration of storage deployments.

Rather than looking at peak demand as a single mountainous peak, some analysts now advocate a layered approach that allows energy storage to better match peak needs and complement ongoing efforts to improve solar and wind power across the grid.

"You don’t have to have batteries that run to infinity."

Some developers of solar-plus-storage projects, bolstered by cheap batteries, say they can already compete head-to-head with gas-fired peakers. "I can beat a gas peaker anywhere in the country today with a solar-plus-storage power plant," Tom Buttgenbach, president and CEO of developer 8minutenergy Renewables, recently told S&P Global.

Customers are very busy these days and rebate programs need to fit the speed of their life. Participation should be quick, easy, and accessible anywhere.

Others disagree. Storage is not disruptive for generation, but will be disruptive for transmission and distribution, Kris Zadlo, executive vice president and chief development officer at Invenergy, told the audience at a Bloomberg New Energy Finance conference last spring. Invenergy, like many renewable power developers, develops generation, energy storage and transmission projects.

But there is another path that avoids the pitfalls of positions on either end of the all-or-none approach. "Do the analysis of the need itself," Ray Hohenstein, market applications director at Fluence, told Utility Dive. If the need is only two hours in duration, it may be best served by a two-hour battery. "You don’t have to have batteries that run to infinity."

 

Storage vs. fossil fuel peakers

Energy storage has several benefits over traditional fossil fuel peaking plants, Hohenstein said. It is instantaneous, it has no emissions and requires no fuel, and has limited infrastructure needs. It can also help the grid absorb higher levels of renewable generation by soaking up excess output, such as solar power at noon, and many planned storage additions will be paired with solar in the next few years. But the one thing energy storage cannot do, he said, is provide limitless energy.

So, instead of looking at replacing an individual peaker, Hohenstein advocated a "duration portfolio" approach that uses energy storage to shave peak load.

If the need is for 150 MW of resources that will never need to run for more than two hours at a time, then a battery is "quite cheap," significantly less than a four or eight-hour battery, said Hohenstein. "If you fill up your peak by duration layer, it could be more cost effective."

 

NREL research driver

Fluence’s approach is informed by research by Paul Denholm and Robert Margolis at the National Renewable Energy Laboratory (NREL), released last spring.

The NREL researchers looked at the California market where they said 11 GW of fossil fuel capacity is expected to be retired by 2029 because of new once-through-cooling requirements that are taking effect. A lot of that capacity is peaking capacity and, according to NREL’s analysis, a large fraction could be replaced with four-hour energy storage, assuming continued storage cost reductions and growth in solar installations.

The key in NREL’s research was the level of solar power penetration. There is a "synergistic" relationship between solar penetration and storage deployment, the researchers wrote, and other studies suggest wind and solar could meet 80% of U.S. demand as these trends continue.

 

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Biden administration pushes to revitalize coal communities with clean energy projects

Coal-to-Clean Energy Hubs leverage Bipartisan Infrastructure Law and Inflation Reduction Act funding to repurpose mine lands with microgrids, advanced nuclear, carbon capture, and rare earth processing, boosting energy security, jobs, and grid modernization.

 

Key Points

They are federal projects converting coal communities and mine lands into clean energy hubs, repurposing infrastructure.

✅ DOE demos on mine lands: microgrids, nuclear, carbon capture.

✅ Funding from BIL, CHIPS and IRA targets energy communities.

✅ Rare earths from coal waste bolster EV supply chains.

 

The Biden administration is channeling hundreds of millions of dollars in clean energy funding from recent legislation into its efforts to turn coal communities into clean energy hubs, the White House said.

The administration gave an update on its push across agencies to kick-start projects nationwide with funding Congress approved during Biden’s first two years in office. The effort includes $450 million from the Bipartisan Infrastructure Law that the Department of Energy will allocate to an array of new clean energy demonstration projects on former mine lands.

“These projects could focus on a range of technologies from microgrids to advanced nuclear to power plans with carbon capture,” Energy Secretary Jennifer Granholm said on a call with reporters Monday. “They’ll prove out the potential to reactivate or repurpose existing infrastructure like transmission lines and substations across an aging U.S. power grid, and these projects could spur new economic development in these communities.”

Among the projects the White House highlighted, it said $16 million from the infrastructure law will go to the University of North Dakota and West Virginia University to create design studies for the first-ever full-scale refinery facility in the U.S. that could extract and separate rare earth elements and minerals from coal mine waste streams. The materials are critical for electric vehicle-battery components that are currently heavily sourced from outside the U.S.

“Those efforts will pave the way toward building a first of its kind facility that produces essential materials for solar panels, wind turbines, EVs and more while cleaning up polluted land and water and creating good-paying jobs for local workers,” Granholm said.

Biden created an interagency working group focused on revitalizing coal-power communities through federal investments when he took office. In 2021, the group selected 25 priority areas ranging from West Virginia to Wyoming to focus on development, as high natural gas prices strengthened the case for clean electricity. There are nearly 18,000 identified mine sites across 1.5 million acres in the United States, according to the White House.

The massive effort fits into a broader Biden administration push to both fight climate change and support communities that have lost economic activity during a transition away from fossil fuel sources such as coal. While Biden’s most ambitious clean energy plans fell flat in Congress in the face of opposition from Republicans and some Democrats after the previous administration’s power plant overhaul, three major laws still unlocked funding for his administration to deploy.

Many of the initiatives are made possible through the Bipartisan Infrastructure Law, Chips and Science Act and the Inflation Reduction Act, even without a clean electricity standard on the books. The task force aims to make sure communities most affected by the changing energy landscape are taking maximum advantage of the federal benefits.

“Those new and expanded operations are coming to energy communities and creating good paying jobs,” Biden’s senior advisor for clean energy innovation and implementation John Podesta said on the call. “These laws can provide substantial federal support to energy communities like capping abandoned oil and gas wells, extracting critical minerals, building battery factories and launching demonstration projects in carbon capture or green hydrogen.”

The administration touted the potential benefits of the Inflation Reduction Act, a bill passed by Democrats to spur clean energy investments last year, even as early assessments show mixed results to date. At the time, U.S. consumers were dealing with decades-high inflation fueled in part by an energy crisis and high gas prices that drove debate — a point Republicans emphasized as the plan moved through Congress.

Deputy Treasury Secretary Wally Adeyemo said the Inflation Reduction Act aims to both “lower the deficit, as well as promote our energy security, lowering energy costs for consumers and combatting climate change.”

“As the Treasury works to implement the law, we’re focused on ensuring that all Americans benefit from the growth of the clean energy economy, particularly those who live in communities that have been dependent on the energy sector for job for a long time,” Adeyemo told reporters. “Economic growth and productivity are higher when all communities are able to reach their full potential.”

 

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Building begins on facility linking Canada hydropower to NYC

Champlain Hudson Power Express Converter Station brings Canadian hydropower via HVDC to Queens, converting 1,250 MW to AC for New York City's grid, replacing a retired fossil site with a zero-emission, grid-scale clean energy hub.

 

Key Points

A Queens converter turning 1,250 MW HVDC hydropower into AC for NYC's grid, repurposing an Astoria fossil site.

✅ 340-mile underwater/underground HVDC link from Quebec to Queens

✅ 1,250 MW DC-AC conversion feeding directly into NY grid by 2026

✅ Replaces Astoria oil site; supports NY's 70% renewables by 2030

 

New York Governor Kathy Hochul has announced the start of construction on the converter station of the Champlain Hudson Power Express transmission line, a project to bring electricity generated from Canadian hydropower to New York City.

The 340 mile (547 km) transmission line is a proposed underwater and underground high-voltage direct current power transmission line to deliver the power from Quebec, Canada, to Queens, New York City. The project is being developed by Montreal-based public utility Hydro-Quebec (QBEC.UL) and its U.S. partner Transmission Developers, while neighboring New Brunswick has signed NB Power deals to bring more Quebec electricity into the province.

The converter station for the line will be the first-ever transformation of a fossil fuel site into a grid-scale zero-emission facility in New York City, its backers say.

Workers have already removed six tanks that previously stored 12 million gallons (45.4 million liters) of heavy oil for burning in power plants and nearly four miles (6.44 km) of piping from the site in the Astoria, Queens neighborhood, echoing Hydro-Quebec's push to wean the province off fossil fuels as regional power systems decarbonize.

The facility is expected to begin operating in 2026, even as the Ontario-Quebec power deal was not renewed elsewhere in the region. Once the construction is completed, it will convert 1,250 megawatts of energy from direct current to alternating current power that will be fed directly into the state's power grid, helping address transmission constraints that have impeded incremental Quebec-to-U.S. power deliveries.

“Renewable energy plays a critical role in the transformation of our power grid while creating a cleaner environment for our future generations,” Hochul said. The converter station is a step towards New York’s target for 70% of the state’s electricity to come from renewable sources by 2030, as neighboring Quebec has closed the door on nuclear power and continues to lean on hydropower.

 

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How utilities are using AI to adapt to electricity demands

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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Ontario government wants new gas plants to boost electricity production

Ontario Gas Plant Expansion aims to boost grid reliability as nuclear refurbishments proceed, using natural gas to meet electricity demand, despite critics urging renewables, energy storage, and efficiency to reduce carbon emissions, protecting investment growth.

 

Key Points

Ontario plan to expand gas plants for reliability during nuclear outages, sparking debate on emissions and clean options.

✅ IESO data: gas share rose from 4% (2017) to 10.4% (2022).

✅ Government cites nuclear refurbishments and demand growth.

✅ Critics propose storage, wind, solar, and efficiency.

 

The Ontario government is preparing to expand gas-fired power plants in Ontario; a move critics say will make the province's electricity system dirtier and could eventually leave taxpayers on the hook.

The province is currently soliciting bids for additional gas-fired electricity generation, which means new gas plants get built, or existing gas plants get expanded. 

It's poised to be Ontario's biggest increase in the gas-fired power supply in more than a decade since the previous Liberal government scrapped two gas plants, in Mississauga and Oakville, at a cost the auditor general pegged at around $1 billion. 

Doug Ford's energy minister, Todd Smith, says Ontario needs gas plants now to help meet an expected surge in demand for electricity as the province faces a supply shortfall in the coming years and to provide power while some units of the province's nuclear stations are down for refurbishment. 

"It's really important to have natural gas as an insurance policy to keep the lights on and provide the reliability that we need," Smith said in an interview. 

"We need natural gas for the short term, especially to get us through these refurbishments."

The portion of Ontario's electricity supply that comes from natural gas matters for the environment and the province's economy. Manufacturing companies increasingly seek clean power that emits as little carbon dioxide as possible. 

The portion of Ontario's electricity supply that comes from natural gas matters for the environment and the province's economy. Manufacturing companies increasingly seek a power supply that emits as little carbon dioxide as possible. 

Increasing the amount of gas-fired generation in the electricity system puts Ontario's ability to attract such investments at risk as it complicates balancing demand and emissions across the grid, says Evan Pivnick, program manager with Clean Energy Canada, a think tank. 

"Building new natural gas (power plants) in Ontario today should be seen as an absolute last resort for meeting our energy needs," said Pivnick in an interview. 

Ontario's electricity system has among the lowest rates of CO2 emissions in North America, with roughly half of the annual supply provided by nuclear power, one-quarter from hydro dams, and one-tenth from wind turbines. 

However, Ontario's gas plants have produced a growing amount of electricity in recent years, despite an early report exploring a gas halt by the minister, and that trend will continue if new gas plants are built. 

In 2017, gas- and oil-fired generation provided just four percent of Ontario's electricity supply, according to figures from the provincial agency that manages the grid, the Independent Electricity System Operator (IESO). 

By 2022, that figure reached 10.4 percent. 

Ontario doesn't need new gas plants to meet the electricity demand, says Bryan Purcell, vice president of policy and programs at The Atmospheric Fund. This agency invests in low-carbon projects in the Greater Toronto and Hamilton Area. 

"We're quite concerned about where Ontario's electric grid is going," said Purcell. "Thankfully, there's still time to adjust course and look at other options." 

According to Purcell and Pivnick, those options to avoid gas could include power storage (in which excess generated energy is stored for later use when electricity demand rises), wind and solar projects, or energy efficiency and conservation programs.

 

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