Reliant generating station earns VPP STAR status

Ontario electricity emissions forecast highlights rising grid CO2 as nuclear refurbishments and the Pickering closure drive more natural gas, limited renewables, and delayed Quebec hydro imports, pending advances in storage and transmission upgrades.

Key Points

A projection that Ontario's grid CO2 will rise as nuclear units refurbish or retire, increasing natural gas use.

✅ Nuclear refurbs and Pickering shutdown cut zero-carbon baseload

✅ Gas plants fill capacity gaps, boosting GHG emissions

✅ Quebec hydro imports face cost, transmission, and timing limits

Ontario's energy grid is among the cleanest in North America — but the province’s nuclear plans mean that some of our progress will be reversed over the next decade.

What was once Canada’s largest single source of greenhouse-gas emissions is now a solar-power plant. The Nanticoke Generating Station, a coal-fired power plant in Haldimand County, was decommissioned in stages from 2010 to 2013 — and even before the last remaining structures were demolished earlier this year, Ontario Power Generation had replaced its nearly 4,000 megawatts with a 44-megawatt solar project in partnership with the Six Nations of the Grand River Development Corporation and the Mississaugas of the Credit First Nation.

But neither wind nor solar has done much to replace coal in Ontario’s hydro sector, a sign of how slowly Ontario is embracing clean power in practice across the province. At Nanticoke, the solar panels make up less than 2 per cent of the capacity that once flowed out to southern Ontario over high-voltage transmission lines. In cleaning up its electricity system, the province relied primarily on nuclear power — but the need to extend the nuclear system’s lifespan will end up making our electricity dirtier again.

“We’ve made some pretty great strides since 2005 with the fuel mix,” says Terry Young, vice-president of corporate communications at the Independent Electricity System Operator, the provincial agency whose job it is to balance supply and demand in Ontario’s electricity sector. “There have been big changes since 2005, but, yes, we will see an increase because of the closure of Pickering and the refurbs coming.”

“The refurbs” is industry-speak for the major rebuilds of both the Darlington and Bruce nuclear-power stations. The two are both in the early stages of major overhauls intended to extend their operating lives into the 2060s: in the coming years, they’ll be taken offline and rebuilt. (The Pickering nuclear plant will not be refurbished and will shut down in 2024.)

The catch is that, as the province loses its nuclear capacity in increments, Ontario will be short of electricity in the coming years and the IESO will need to find capacity elsewhere to make sure the lights stay on. And that could mean burning a lot more natural gas — and creating more greenhouse-gas emissions.

According to the IESO’s planning assumptions, electricity will be responsible for 11 megatonnes of greenhouse-gas emissions annually by 2035 (last year, it was three megatonnes). That’s the “reference case” scenario: if conservation and efficiency policies shave off some electricity demand, we could get it down to something like nine megatonnes. But if demand is higher than expected, it could be as high as 13 megatonnes — more than quadruple Ontario’s 2018 emissions.

Even in the worst-case scenario, the province’s emissions from electricity would still be less than half of what they were in 2005, before the province began phasing out its coal generation. But it’s still a reversal of a trend that both Liberals and Progressive Conservatives have boasted about — the Liberals to justify their energy policies, the PCs to justify their hostility to a federal carbon tax.

Young emphasized that technology can change and that the IESO’s planning assumptions are just that: projections based on the information available today. A revolution in electricity storage could make it possible to store the province’s cleaner power sources overnight for use during the day, but that’s still only in the realm of speculation — and the natural-gas infrastructure exists in the real world, today.

Ontario Power Generation — the Crown corporation that operates many of the province’s power plants, including Pickering and Darlington — recently bought four gas plants, two of them outright (two it already owned in part). All were nearly complete or already operational, so the purchase itself won’t change the province’s emissions prospects. Rather, OPG is simply looking to maintain its share of the electricity market after the Pickering shutdown.

“It will allow us to maintain our scale, with the upcoming end of Pickering’s commercial operations, so that we can continue our role as the driver of Ontario’s lower carbon future,” Neal Kelly, OPG’s director of media, issues, and management, told TVO.org via email. “Further, there is a growing need for flexible gas fired generation to support intermittent wind and solar generation.”

The shift to more gas-fired generation has been coming for a while, and critics say that Ontario has missed an opportunity to replace the lost Pickering capacity with something cleaner. MPP Mike Schreiner, leader of the Green party, has argued for years that Ontario should have pursued an agreement with Quebec to import clean hydroelectricity.

“To me, it’s a cost-effective solution, and it’s a zero-emissions solution,” Schreiner says. “Regardless of your position on sources of electricity, I think everyone could agree that waterpower from Quebec is going to be less expensive.”

Quebec is eager to sell Ontario its surplus hydro power, but not everyone agrees that importing power would be cheaper. A study published by the Ontario Chamber of Commerce (and commissioned by Ontario Power Generation) calls the claim a “myth” and states that upgrading electric-transmission wires between Ontario and Quebec would cost $1.2 billion and take 10 years, while some estimates suggest fully greening Ontario's grid would cost far more overall.

With Quebec imports seemingly a non-starter and major changes to Ontario’s nuclear fleet already underway, there’s only one path left for this province’s greenhouse-gas emissions: upwards.

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Electric Vehicle Grid Integration aligns EV charging with grid capacity using smart charging, time-of-use rates, V2G, and demand response to reduce peak load, enable renewable energy, and optimize infrastructure planning.

Key Points

Aligning EV charging with grid needs via smart charging, TOU pricing, and V2G to balance load and support renewables.

✅ Time-of-use rates shift charging to off-peak hours

✅ Smart charging responds to real-time grid signals

✅ V2G turns fleets into distributed energy storage

When Seattle City Light unveiled five new electric vehicle charging stations last month in an industrial neighborhood south of downtown, the electric utility wasn't just offering a new spot for drivers to fuel up. It also was creating a way for the service to figure out how much more power it might need as electric vehicles catch on.

Seattle aims to have nearly a third of its residents driving electric vehicles by 2030. Washington state is No. 3 in the nation in per capita adoption of plug-in cars, behind California and Hawaii. But as Washington and other states urge their residents to buy electric vehicles — a crucial component of efforts to reduce carbon emissions — they also need to make sure the electric grid can handle it amid an accelerating EV boom nationwide.

The average electric vehicle requires 30 kilowatt hours to travel 100 miles — the same amount of electricity an average American home uses each day to run appliances, computers, lights and heating and air conditioning.

An Energy Department study found that increased electrification across all sectors of the economy could boost national consumption by as much as 38 percent by 2050, in large part because of electric vehicles. The environmental benefit of electric cars depends on the electricity being generated by renewables.

So far, states predict they will be able to sufficiently boost power production. But whether electric vehicles will become an asset or a liability to the grid largely depends on when drivers charge their cars.

Electricity demand fluctuates throughout the day; demand is higher during daytime hours, peaking in the early evening. If many people buy electric vehicles and mostly try to charge right when they get home from work — as many now do — the system could get overloaded or force utilities to deliver more electricity than they are capable of producing.

In California, for example, the worry is not so much with the state’s overall power capacity, but rather with the ability to quickly ramp up production and maintain grid stability when demand is high, said Sandy Louey, media relations manager for the California Energy Commission, in an email. About 150,000 electric vehicles were sold in California in 2018 — 8 percent of all state car sales.

The state projects that electric vehicles will consume 5.4 percent of the state’s electricity, or 17,000 gigawatt hours, by 2030.

Responding to the growth in electric vehicles will present unique challenges for each state. A team of researchers from the University of Texas at Austin estimated the amount of electricity that would be required if every car on the road transitioned to electric. Wyoming, for instance, would need to nudge up its electricity production only 17 percent, while Maine would have to produce 55 percent more.

Efficiency Maine, a state trust that oversees energy efficiency and greenhouse gas reduction programs, offers rebates for the purchase of electric vehicles, part of state efforts to incentivize growth.

“We’re certainly mindful that if those projections are right, then there will need to be more supply,” said Michael Stoddard, the program’s executive director. “But it’s going to unfold over a period of the next 20 years. If we put our minds to it and plan for it, then we should be able to do it.”

A November report sponsored by the Energy Department found that there has been almost no increase in electricity demand nationwide over the past 10 years, while capacity has grown an average of 12 gigawatts per year (1 GW can power more than a half-million homes). That means energy production could climb at a similar rate and still meet even the most aggressive increase in electric vehicles, with proper planning.

Charging during off-peak hours would allow not only many electric vehicles to be added to the roads but also utilities to get more use out of power plants that run only during the limited peak times through improved grid coordination and flexible demand.

Seattle City Light and others are looking at various ways to promote charging during ideal times. One method is time-of-day rates. For the Seattle chargers unveiled last month, users will pay 31 cents per kilowatt hour during peak daytime hours and 17 cents during off-peak hours. The utility will monitor use at its charging stations to see how effective the rates are at shifting charging to more favorable times.

The utility also is working on a pilot program to study charging behavior at home. And it is partnering with customers such as King County Metro that are electrifying large vehicle fleets, including growing electric truck fleets that will demand significant power, to make sure they have both the infrastructure and charging patterns to integrate smoothly.

“Traditionally, our utility approach is to meet the load demand,” said Emeka Anyanwu, energy innovation and resources officer for Seattle City Light.

Instead, he said, the utility is working with customers to see whether they can use existing assets without the need for additional investment.

Numerous analysts say that approach is crucial.

“Even if there’s an overall increase in consumption, it really matters when that occurs,” said Sally Talberg, head of the Michigan Public Service Commission, which oversees the state’s utilities. “The encouragement of off-peak charging and other technology solutions that could come to bear could offset any negative impact.”

One of those solutions is smart charging, a system in which vehicles are plugged in but don’t charge until they receive a signal from the grid that demand has tapered off a sufficient amount. This is often paired with a lower rate for drivers who use it. Several smart-charging pilot programs are being conducted by utilities, although they have not yet been phased in widely, amid ongoing debates over charging control among manufacturers and utilities.

In many places, the increased electricity demand from electric vehicles is seen as a benefit to utilities and rate payers. In the Northwest, electricity consumption has remained relatively stagnant since 2000, despite robust population growth and development. That’s because increasing urbanization and building efficiency have driven down electricity needs.

Electric vehicles could help push electricity consumption closer to utilities’ capacity for production. That would bring in revenue for the providers, which would help defray the costs for maintaining that capacity, lowering rates for all customers.

“Having EV loads is welcome, because it’s environmentally cleaner and helps sustain revenues for utilities,” said Massoud Jourabchi, manager of economic analysis for the Northwest Power and Conservation Council, which develops power plans for the region.

Colorado also is working to promote electric cars, with the aim of putting 940,000 on the road by 2030. The state has adopted California’s zero-emission vehicles mandate, which requires automakers to reach certain market goals for their sales of cars that don’t burn fossil fuels, while extending tax credits for the purchase of such cars, investing in charging stations and electrifying state fleets.

Auto dealers have opposed the mandate, saying it infringes on consumer freedom.

“We think it should be a customer choice, a consumer choice and not a government mandate,” said Tim Jackson, president and chief executive of the Colorado Automobile Dealers Association.

Jackson also said that there’s not yet a strong consumer appetite for electric vehicles, meaning that manufacturers that fail to sell the mandated number of emission-free vehicles would be required to purchase credits, which he thinks would drive up the price of their other models.

Republicans in the state have registered similar concerns, saying electric vehicle adoption should take place based on market forces, not state intervention.

Many in the utility community are excited about the potential for electric cars to serve as mobile energy storage for the grid. Vehicle-to-grid technology, known as V2G, would allow cars charging during the day to take on surplus power from renewable energy sources.

Then, during peak demand times, electric vehicles would return some of that stored energy to the grid. As demand tapers off in the evening, the cars would be able to recharge.

In practice, V2G technology could be especially beneficial if used by heavy-duty fleets, such as school buses or utility vehicles. Those fleets would have substantial battery storage and long periods where they are idle, such as evenings and weekends — and even longer periods such as summer and the holiday season when school is out. The batteries on a bus, Jourabchi said, could store as much as 10 times the electricity needed to power a home for a day.

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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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Ontario Electricity Bill Scams: beware phishing, spoofed calls, fake invoices, and disconnection threats demanding prepaid cards, gift cards, or Bitcoin; verify with Hydro One, Alectra, Toronto Hydro, Elexicon, or Hydro Ottawa customer service.

Key Points

Fraud schemes impersonating utilities via calls, texts, emails, or fake bills to coerce instant payment with threats.

✅ Never pay by gift cards, prepaid debit, or Bitcoin.

✅ Do not call numbers in messages; use your bill or utility website.

✅ Verify IDs; report threats or door-to-door demands to police.

Ontario’s five largest electricity utilities have teamed up to warn the public about ongoing scams concerning fake phone calls, texts and bills connected to the utility accounts.

“We always receive these reports of scams and it gets increasingly higher during the holidays when people are busy and enjoying the season," said Whitney Brhelle, spokesperson with Hydro One.

Hydro One joined with Alectra Utilities, Elexicon Energy, Hydro Ottawa and Toronto Hydro to get the message out that scammers are targeting customers and threatening to turn off their power.

Scams involve impersonation of a local utility or its employees, threatening phone calls, texts or emails and pressure for immediate payment that come with threats to disconnect service the same day.

Criminals may demand payment in prepaid debit cards, gift cards or Bitcoin. Utilities said they would never call a customer without notice and threaten disconnection over the phone.

In a separate case, authorities in Montreal arrested suspects in an electricity theft ring that highlights broader energy-related crime.

“People have been calling customers and saying you need to pay your bill immediately and they are threatened with disconnection, often citing supposed changes to peak hydro rates to add pressure, which is something that we would ever do," said Kimberly Brathwaite, spokesperson with Elexicon Energy.

Scammers are also creating fake bills that look like the real thing.

“Scammers will actually take our Alectra logo and send out various authentic looking documents to people’s homes, so people have to be aware and check their statements very carefully” said Ashley Trgachef spokesperson with Alectra Utilities.

Customers are advised to never make a payment not listed on their recent bill and to ignore texts or emails with links promising refunds, and to verify any official relief fund information only through their utility and not to provide personal information or details about their account.

If you are given a number to call don’t call the number provided, you are better off to go to your bill or the utility’s website to makes sure it is the correct number for customer service and to review information about customer flexibility there.

Some scammers have even gone door to door demanding payment, and the utilities are advising anyone who feels threatened to call police.

They are also asking that you share the information with family and friends to be careful if they are contacted by someone claiming to be with their electricity company.

If you fall for a scam and money is sent, it's very difficult to get it back.  

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NL Hydro electricity credit delivers a one-time on-bill rebate from the rate stabilization fund, linked to oil prices and the Holyrood plant, via the Public Utilities Board, with payment deferrals and interest relief for customers.

Key Points

A one-time on-bill credit from the rate stabilization fund to cut power costs as oil prices remain low.

✅ One-time on-bill credit via the Public Utilities Board

✅ Funded by surplus in the rate stabilization fund

✅ Deferrals and 15 months interest assistance available

Most people who pay electricity bills will get a one-time credit as early as July.

The provincial government on Thursday outlined a new directive to the Public Utilities Board to provide a one-time credit for customers whose electricity rates are affected by the price of oil, part of an effort to shield ratepayers from Muskrat Falls overruns through recent agreements.

Electricity customers who are not a part of the Labrador interconnected system, including those using diesel on the north coast of Labrador, will receive the credit.

The credit, announced at a press conference Thursday morning, will come from the rate stabilization fund and comes as many customers have begun paying for Muskrat Falls on their bills, which has an estimated surplus of about $50 million because low oil prices mean NL Hydro has spent less on fuel for the Holyrood thermal generating station.

Normally a surplus would be paid out over a year, but customers this year will get the credit in a lump sum, as early as July, with the amount varying based on electricity usage.

"Given the difficult times many are finding themselves in, we believe an upfront, one-time on-bill credit would be much more helpful for customers than a small monthly decrease over the next 12 months," said Natural Resources Minister Siobhan Coady at the provincial government's announcement Thursday morning.

Premier Dwight Ball said with many households and businesses experiencing financial hardship, the one-time credit is meant to make life a little easier, noting that Nova Scotia's premier has urged regulators to reject a major hike elsewhere.

"We have requested that the board of commissioners of the Public Utilities Board, even as Nova Scotia's regulator approved a 14% increase recently, adopt a policy so that a credit will be dispersed immediately," Ball said.

"This is to help people when they need it the most.… We're doing what we can to support you."

The provincial government estimates someone whose power costs an average of $200 a month would get a one-time credit of about $130. Details of the plan will be left to the PUB.

Deferred payments allowed
Ball said the credit will make a "significant impact" on customers' July bills.

Both businesses and residential customers will also be able to defer payments, similar to Alberta's deferral program that shifted costs for unpaid bills, with up to $2.5 million in interest being waived on overdue accounts. Customers will be required to make agreed-upon monthly payments to their account, and there will be interest assistance for 15 months, beginning June 1.

Coady said customers can renegotiate their bills and defer payments, with the province picking up the tab for the interest.

"You can speak to a customer service agent and they will make accommodations, but you have to continue to make some version of a monthly payment," Coady

"The interest that may be accrued is going to be paid for by the provincial government, so if you're a business, a person, and you're having difficulty and you can't make what I would say is your normal payment, call your utility, make some arrangements."

Labrador's interconnected grid isn't affected by the price of oil, but those customers can take advantage of the interest relief.

Relief policies already put in place during the pandemic, like not disconnecting customers and providing options for more flexible bill payments, will continue, as utilities such as Hydro One reconnecting customers demonstrate in Ontario.

Credit not enough to support customers: PCs
While Ball said his government is doing what they can to help ratepayers, the opposition doesn't believe the announcement does enough to support those who need it.

Tony Wakeham, the Progressive Conservative MHA for Stephenville-Port au Port, said in a statement Thursday the credit simply gives people's money back to them, after the NL Consumer Advocate called an 18% rate hike unacceptable, and Newfoundland Power stands to benefit. 

"The Liberal government would like ratepayers to believe that they are getting electricity rate relief, but in reality, customers would have been entitled to receive the value of this credit anyway over a 12-month period. Furthermore, in providing a one-time credit, Newfoundland Power will also be able to collect an administrative fee, adding to their revenues," Wakeham said in the statement.

"People and businesses in this province are struggling to pay their utility bills, and the Liberal government should help them by putting extra money into their pockets, not by recycling an already existing program to the benefit of a large corporation."

Wakeham called on government to direct the PUB to lower Newfoundland Power's guaranteed rate of return to give cash refunds to customers, and for Newfoundland Power to waive its fees.

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Advanced Traffic Light System for Geothermal Safety models fracture growth and friction with rock physics, geophones, and supercomputers to predict induced seismicity during hydraulic stimulation, enabling real-time risk control for ETH Zurich and SED.

Key Points

ATLS uses rock physics, geophones, and HPC to forecast induced seismicity in real time during geothermal stimulation.

✅ Real-time seismic risk forecasts during hydraulic stimulation

✅ Uses rock physics, friction, and fracture modeling on HPC

✅ Supports ETH Zurich and SED field tests in Iceland and Bedretto

The Swiss Earthquake Service and ETH Zurich want to make geothermal energy safer, so news piece from Switzerland earlier this month. This is to be made possible by new software, including machine learning, and the computing power of supercomputers. The first geothermal tests have already been carried out in Iceland, and more will follow in the Bedretto laboratory.

In areas with volcanic activity, the conditions for operating geothermal plants are ideal. In Iceland, the Hellisheidi power plant makes an important contribution to sustainable energy use, alongside innovations like electricity from snow in cold regions.

Deep geothermal energy still has potential. This is the basis of the 2050 energy strategy. While the inexhaustible source of energy in volcanically active areas along fault zones of the earth’s crust can be tapped with comparatively little effort and, where viable, HVDC transmission used to move power to demand centers, access on the continents is often much more difficult and risky. Because the geology of Switzerland creates conditions that are more difficult for sustainable energy production.

Improve the water permeability of the rock

On one hand, you have to drill four to five kilometers deep to reach the correspondingly heated layers of earth in Switzerland. It is only at this depth that temperatures between 160 and 180 degrees Celsius can be reached, which is necessary for an economically usable water cycle. On the other hand, the problem of low permeability arises with rock at these depths. “We need a permeability of at least 10 millidarcy, but you can typically only find a thousandth of this value at a depth of four to five kilometers,” says Thomas Driesner, professor at the Institute of Geochemistry and Petrology at ETH Zurich.

In order to improve the permeability, water is pumped into the subsurface using the so-called “fracture”. The water acts against friction, any fracture surfaces shift against each other and tensions are released. This hydraulic stimulation expands fractures in the rock so that the water can circulate in the hot crust. The fractures in the earth’s crust originate from tectonic tensions, caused in Switzerland by the Adriatic plate, which moves northwards and presses against the Eurasian plate.

In addition to geothermal energy, the “Advanced Traffic Light System” could also be used in underground construction or in construction projects for the storage of carbon dioxide.

Quake due to water injection

The disadvantage of such hydraulic stimulations are vibrations, which are often so weak or cannot be perceived without measuring instruments. But that was not the case with the geothermal projects in St. Gallen 2013 and Basel 2016. A total of around 11,000 cubic meters of water were pumped into the borehole in Basel, causing the pressure to rise. Using statistical surveys, the magnitudes 2.4 and 2.9 defined two limit values ??for the maximum permitted magnitude of the earthquakes generated. If these are reached, the water supply is stopped.

In Basel, however, there was a series of vibrations after a loud bang, with a time delay there were stronger earthquakes, which startled the residents. In both cities, earthquakes with a magnitude greater than 3 have been recorded. Since then it has been clear that reaching threshold values ??determines the stop of the water discharge, but this does not guarantee safety during the actual drilling process.

Simulation during stimulation

The Swiss Seismological Service SED and the ETH Zurich are now pursuing a new approach that can be used to predict in real time, building on advances by electricity prediction specialists in Europe, during a hydraulic stimulation whether noticeable earthquakes are expected in the further course. This is to be made possible by the so-called “Advanced Traffic Light System” based on rock physics, a software developed by the SED, which carries out the analysis on a high-performance computer.

Geophones measure the ground vibrations around the borehole, which serve as indicators for the probability of noticeable earthquakes. The supercomputer then runs through millions of possible scenarios, similar to algorithms to prevent power blackouts during ransomware attacks, based on the number and type of fractures to be expected, the friction and tensions in the rock. Finally, you can filter out the scenario that best reflects the underground.

Further tests in the mountain

However, research is currently still lacking any real test facility for the system, because incorrect measurements must be eliminated and a certain data format adhered to before the calculations on the supercomputer. The first tests were carried out in Iceland last year, with more to follow in the Bedretto geothermal laboratory in late summer, where reliable backup power from fuel cell solutions can keep instrumentation running. An optimum can now be found between increasing the permeability of rock layers and an adequate water supply.

The new approach could make geothermal energy safer and ultimately help this energy source to become more accepted, while grid upgrades like superconducting cables improve efficiency. Research also sees areas of application wherever artificially caused earthquakes can occur, such as in underground mining or in the storage of carbon dioxide underground.

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