NERC to improve protection response to critical infrastructure

Grid Transformer Waste Heat Recovery turns substations into neighborhood boilers, supplying district heating via heat networks, helping National Grid and SSE cut emissions, boost energy efficiency, and advance low carbon, net zero decarbonization.

Key Points

Grid Transformer Waste Heat Recovery captures substation heat for district heating, cutting emissions and gas use.

✅ Captures waste heat from National Grid transformers

✅ Feeds SSE district heat networks for nearby homes

✅ Cuts carbon, improves efficiency, aligns with net zero

Thousands of homes could soon be warmed by the heat from giant electricity grid transformers for the first time as part of new plans to harness “waste heat” and cut carbon emissions from home heating.

Trials are due to begin on how to capture the heat generated by transmission network transformers, owned by National Grid, to provide home heating for households connected to district heating networks operated by SSE.

Currently, hot air is vented from the giant substations to help cool the transformers that help to control the electricity running through National Grid’s high-voltage transmission lines.

However, if the trial succeeds, about 1,300 National Grid substations could soon act as neighbourhood “boilers”, piping water heated by the substations into nearby heating networks, and on into the thousands of homes that use SSE’s services.

“Electric power transformers generate huge amounts of heat as a byproduct when electricity flows through them. At the moment, this heat is just vented directly into the atmosphere and wasted,” said Nathan Sanders, the managing director of SSE Energy Solutions.

“This groundbreaking project aims to capture that waste heat and effectively turn transformers into community ‘boilers’ that serve local heat networks with a low- or even zero-carbon alternative to fossil-fuel-powered heat sources such as gas boilers, a shift akin to a gas-for-electricity swap in heating markets,” Sanders added.

Alexander Yanushkevich, National Grid’s innovation manager, said the scheme was “essential to achieve net zero” and a “great example of how, taking a whole-system approach, including power-to-gas in Europe precedents, the UK can lead the way in helping accelerate decarbonisation”.

The energy companies believe the scheme could initially reduce heat network carbon emissions by more than 40% compared with fossil gas systems. Once the UK’s electricity system is zero carbon, and with recent milestones where wind was the main source of UK electricity on the grid, the heating solution could play a big role in helping the UK meet its climate targets.

The first trials have begun at National Grid’s specially designed testing site at Deeside in Wales to establish how the waste heat could be used in district heating networks. Once complete, the intellectual property will be shared with smaller regional electricity network owners, which may choose to roll out schemes in their areas.

Tim O’Reilly, the head of strategy at National Grid, said: “We have 1,300 transmission transformers, but there’s no reason why you couldn’t apply this technology to smaller electricity network transformers, too, echoing moves to use more electricity for heat in colder regions.”

Once the trials are complete, National Grid and SSE will have a better idea of how many homes could be warmed using the heat generated by electricity network substations, O’Reilly said, and how the heat can be used in ways that complement virtual power plants for grid resilience.

“The heavier the [electricity] load, which typically reaches a peak at around teatime, the more heat energy the transformer will be able to produce, aligning with times when wind leads the power mix nationally. So it fits quite nicely to when people require heat in the evenings,” he added.

Other projects designed to capture waste heat to use in district heating schemes include trapping the heat generated on the Northern line of London’s tube network to warm homes in Islington, and harnessing the geothermal heat from disused mines for district heating networks in Durham.

Only between 2% and 3% of the UK is connected to a district heating network, but more networks are expected to emerge in the years ahead as the UK tries to reduce the carbon emissions from homes, alongside its nuclear power plans in the wider energy strategy.

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UK Coal-Free Grid Streak highlights record hours without coal, as renewable energy, wind and solar boost electricity generation, cutting CO2 emissions, reducing fossil fuel reliance, and accelerating grid decarbonization amid volatile gas markets.

Key Points

It is the UKs longest coal-free power run, driven by renewables, signaling decarbonization and reduced gas reliance.

✅ Record-breaking hours of electricity with zero coal generation

✅ Enabled by wind, solar, and growing offshore wind capacity

✅ Highlights need to cut gas use and expand renewable investment

Today is the fourth the UK has entered with not a watt of electricity generated by coal.

It’s the longest such streak since the 1880s and comes only days after the last modern era coal-free power record of 55 hours was set.

That represents good news for those of us who have children and would rather like there to be a planet for them to live on when we’re gone.

Coal generated power is dirty power, and not just through the carbon that gets pumped into the atmosphere when it burns.

The fact that the UK is increasingly able to call upon cleaner alternatives for its requirements, to the extent that records are being regularly broken and coal's share has fallen to record lows, is a welcome development.

The trouble is one of those alternatives is gas, and while it is better than coal it still throws off CO2, among other pollutants. The UK’s use of it, for electricity generation and most of its heating, comes with the added disadvantage of leaving it in hock to volatile international markets and producers that aren’t always friendly.

It was only last month, with the country in the middle of a cold snap, that the Grid was issuing a deficit warning (its first in eight years).

As I wrote at the time, we need to burn less of the stuff as low-carbon progress stalled in 2019 shows, too.

As such, Greenpeace’s call for more investment in renewable energy technology and generation, including solar, onshore wind and offshore wind, which is making an increasing contribution as wind beat coal in 2016 demonstrated, was well made.

Those who complain about onshore wind farms, particularly when they are built in windy places that are pretty, seem willfully blind to the pollution caused by gas.

The need to be listened to less. So do those, like British Gas owner Centrica, that bellyache about green taxes.

It bears repeating that fossil fuels are subsidised still more. It’s just that the subsidies are typically hidden.

A report issued last year by a coalition of environmental organisations found the UK provided $972m (£695m) of annual financing for fossil fuels on average between 2013 and 2015, compared with $172m for renewable energy.

But while they come up with wildly varying amounts as a result of wildly varying approaches, the OECD, the IMF and the International Energy Agency have all quantified substantial subsidies for fossils fuels. Their annual estimates have ranged from $160bn to $5.3tn (yes you read that rate and the number was the IMF’s) globally.

So by all means celebrate coal free days, and a full week without coal power as milestones. But we need more of them more quickly and we need more renewable energy to pick up the slack. As such, the philosophy and approach of government needs to change.

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Rising Greenhouse Gas Concentrations drive climate change, with CO2, methane, and nitrous oxide surging; WMO data show higher radiative forcing, elevated pre-industrial baselines, and persistent atmospheric concentrations despite Paris Agreement emissions pledges.

Key Points

Increasing atmospheric CO2, methane, and nitrous oxide levels that raise radiative forcing and drive warming.

✅ WMO data show CO2 at 407.8 ppm in 2018, above decade average

✅ Methane and nitrous oxide surged, elevating total radiative forcing

✅ Concentrations differ from emissions; sinks absorb about half

The World Meteorological Organization (WMO) says the increase in CO2 was just above the average rise recorded over the last decade.

Levels of other warming gases, such as methane and nitrous oxide, have also surged by above average amounts.

Since 1990 there's been an increase of 43% in the warming effect on the climate of long lived greenhouse gases.

The WMO report looks at concentrations of warming gases in the atmosphere rather than just emissions.

The difference between the two is that emissions refer to the amount of gases that go up into the atmosphere from the use of fossil fuels, such as burning coal for coal-fired electricity generation and from deforestation.

Concentrations are what's left in the air after a complex series of interactions between the atmosphere, the oceans, the forests and the land. About a quarter of all carbon emissions are absorbed by the seas, and a similar amount by land and trees, while technologies like carbon capture are being explored to remove CO2.

Using data from monitoring stations in the Arctic and all over the world, researchers say that in 2018 concentrations of CO2 reached 407.8 parts per million (ppm), up from 405.5ppm a year previously.

This increase was above the average for the last 10 years and is 147% of the "pre-industrial" level in 1750.

The WMO also records concentrations of other warming gases, including methane and nitrous oxide, and some countries have reported declines in certain potent gases, as noted in US greenhouse gas controls reports, though global levels remain elevated. About 40% of the methane emitted into the air comes from natural sources, such as wetlands, with 60% from human activities, including cattle farming, rice cultivation and landfill dumps.

Methane is now at 259% of the pre-industrial level and the increase seen over the past year was higher than both the previous annual rate and the average over the past 10 years.

Nitrous oxide is emitted from natural and human sources, including from the oceans and from fertiliser-use in farming. According to the WMO, it is now at 123% of the levels that existed in 1750.

Last year's increase in concentrations of the gas, which can also harm the ozone layer, was bigger than the previous 12 months and higher than the average of the past decade.

What concerns scientists is the overall warming impact of all these increasing concentrations. Known as total radiative forcing, this effect has increased by 43% since 1990, and is not showing any indication of stopping.

There is no sign of a slowdown, let alone a decline, in greenhouse gases concentration in the atmosphere despite all the commitments under the Paris agreement on climate change and the ongoing global energy transition efforts," said WMO Secretary-General Petteri Taalas.

"We need to translate the commitments into action and increase the level of ambition for the sake of the future welfare of mankind," he added.

"It is worth recalling that the last time the Earth experienced a comparable concentration of CO2 was three to five million years ago. Back then, the temperature was 2-3C warmer, sea level was 10-20m higher than now," said Mr Taalas.

The UN Environment Programme will report shortly on the gap between what actions countries are taking to cut carbon, for example where Australia's emissions rose 2% recently, and what needs to be done to keep under the temperature targets agreed in the Paris climate pact.

Preliminary findings from this study, published during the UN Secretary General's special climate summit last September, indicated that emissions continued to rise during 2018, although global emissions flatlined in 2019 according to the IEA.

Both reports will help inform delegates from almost 200 countries who will meet in Madrid next week for COP25, following COP24 in Katowice the previous year, the annual round of international climate talks.

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Hydro One CEO Salary shapes debate on Ontario electricity costs, executive compensation, sunshine list transparency, and public disclosure rules, as officials argue pay is not driving planned hydro rate cuts for consumers.

Key Points

Hydro One CEO pay disclosed in public filings, central to debates on Ontario electricity rates and transparency.

✅ 2016 compensation: $4.5M (salary + bonuses)

✅ Excluded from Ontario's sunshine list after privatization

✅ Government says pay won't affect planned hydro rate cuts

The $4.5 million in pay received by Hydro One's CEO is not a factor in the government's plan to cut electricity costs for consumers, an Ontario cabinet minister said Thursday amid opposition concerns about the executive's compensation and wider sector pressures such as Manitoba Hydro's rising debt in other provinces.

Treasury Board President Liz Sandals made her comments on the eve of the release of the province's so-called sunshine list.

The annual disclosure of public-sector salaries over $100,000 will be released Friday, but Hydro One salaries such as that of company boss Mayo Schmidt won't be on it.Though the government still owns most of Hydro One — 30 per cent has been sold — the company is required to follow the financial disclosure rules of publicly traded companies, which means disclosing the salaries of its CEO, CFO and next three highest-paid executives, and financial results such as a Q2 profit decline in filings.

New filings show that Schmidt was paid $4.5 million in 2016 — an $850,000 salary plus bonuses — and those top five executives were paid a total of about $11.7 million. 

"Clearly that's a very large amount," said Sandals. Sandals wouldn't say whether or not she thought the pay was appropriate at a time when the government is trying to reduce system costs and cut people's hydro bills.

Mayo Schmidt, President & CEO of Hydro One Limited and Hydro One Inc. (Hydro One )

But she suggested the CEO's salary was not a factor in efforts to bring down hydro prices, even as Hydro One shares fell after a leadership shakeup in a later period. "The CEO salary is not part of the equation of will 'we be able to make the cut,"' she said. "Regardless of what those salaries are, we will make a 25-per-cent-off cut." The cut coming this summer is actually an average of 17 per cent -- the 25-per-cent figure factors in an earlier eight-per-cent rebate.

NDP Leader Andrea Horwath, who has proposed to make hydro public again in Ontario, said the executive salaries are relevant to cutting hydro costs.

"All of this is cost of operating the electricity system, it's part of the operating of Hydro One and so of course those increased salaries are going to impact the cost of our electricity," she said.

Schmidt was appointed Aug. 31, 2015, and in the last four months of that year earned $1.3 million, but the former CEO was paid $745,000 in 2014. About 3,800 workers were paid over $100,000 that year, none of whom will be on the sunshine list this year.

Progressive Conservative energy critic Todd Smith has a private member's bill that would put Hydro One salaries back on the list, amid investor concerns about Hydro One that cite too many unknowns.

"The Wynne Liberals don't want the people of Ontario to know that their rates have helped create a new millionaire's club at Hydro One," Smith said. "Hydro One is still under the majority ownership of the public, but Premier Kathleen Wynne has removed these salaries from the public's watchful eye."

The previous sunshine list showed 115,431 people were earning more than $100,000 — an increase of nearly 4,000 people despite the fact 3,774 Hydro One workers were not on the list for the first time.

Tom Mitchell, the former CEO at Ontario Power Generation who resigned last summer, topped the 2015 list at $1.59 million.

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Irving Oil hydrogen electrolyzer expands green hydrogen capacity at the Saint John refinery with Plug Power technology, cutting carbon emissions, enabling clean fuel for buses, and supporting Atlantic Canada decarbonization and renewable grid integration.

Key Points

A 5 MW Plug Power unit at Irving's Saint John refinery producing low-carbon hydrogen via electrolysis.

✅ Produces 2 tonnes/day, enough to fuel about 60 hydrogen buses

✅ Uses grid power; targets cleaner supply via renewables and nuclear

✅ First Canadian refinery investing in electrolyzer technology

Irving Oil is expanding hydrogen capacity at its Saint John, N.B., refinery in a bid to lower carbon emissions and offer clean energy to customers.

The family-owned company said Tuesday it has a deal with New York-based Plug Power Inc. to buy a five-megawatt hydrogen electrolyzer that will produce two tonnes of hydrogen a day — equivalent to fuelling 60 buses with hydrogen — using electricity from the local grid and drawing on examples such as reduced electricity rates proposed in Ontario to grow the hydrogen economy.

Hydrogen is an important part of the refining process as it's used to lower the sulphur content of petroleum products like diesel fuel, but most refineries produce hydrogen using natural gas, which creates carbon dioxide emissions and raises questions explored in hydrogen's future for power companies in the energy sector.

"Investing in a hydrogen electrolyzer allows us to produce hydrogen in a very different way," Irving director of energy transition Andy Carson said in an interview.

"Instead of using natural gas, we're actually using water molecules and electricity through the electrolysis process to produce ... a clean hydrogen."

Irving plans to continue to work with others in the province to decarbonize the grid amid pressures like Ontario's push into energy storage as electricity supply tightens and ensure the electricity being used to power its hydrogen electrolyzer is as clean as possible, he said.

N.B. Power's electrical system includes 14 generating stations powered by hydro, coal, oil, wind, nuclear and diesel. The utility has committed to increasing its renewable energy sources and exploring innovations such as EV-to-grid integration piloted in Nova Scotia.

Irving said it will be the first oil refinery in Canada to invest in electrolyzer technology, as Ontario's Hydrogen Innovation Fund supports broader deployment nationwide.

The company said its goal is to offer hydrogen fuelling infrastructure in Atlantic Canada, complementing N.L.'s fast-charging network for EV drivers in the region.

"This kind of investment allows us to not just move to a cleaner form of hydrogen in the refinery. It also allows us to store and make hydrogen available to the marketplace," Carson said.

Federal watchdog warns Canada's 2030 emissions target may not be achievable
The hydrogen technology will help Irving "unlock pent up demand for hydrogen as an energy transition fuel for logistics organizations," he said.

Alberta also aims to expand its hydrogen production over the coming years, alongside British Columbia's $900 million hydrogen project moving ahead on the West Coast. 

Those plans lean on the development of carbon capture and storage (CCS) technology that aims to trap the emissions created when producing hydrogen from natural gas.

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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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