Clean energy revenue expected to triple in 10 years

Goreway Power Station Overbilling exposed by Ontario Energy Board shows IESO oversight failures, GCG gaming, and $100M in inappropriate payments at the Brampton natural gas plant, penalized with fines and repayments impacting Ontario ratepayers.

Key Points

Goreway exploited IESO GCG flaws, causing about $100M in improper payouts and fines.

✅ OEB probe flagged $89M in ineligible start-up O&M charges

✅ IESO fined Goreway $10M; majority of excess costs recovered

✅ Audit found $200M in overbilling across nine generators

Hydro customers shelled out about $100 million in "inappropriate" payments to a natural gas plant that exploited flaws in how Ontario manages its private electricity generators, according to the Ontario Energy Board.

The company operating the Goreway Power Station in Brampton "gamed" the system for at least three years, according to an investigation by the provincial energy regulator. 

The investigation also delivers stinging criticism of the provincial government's Independent Electricity System Operator (IESO), slamming it for a lack of oversight. The probe by the Ontario Energy Board's market surveillance panel was completed nearly a year ago, but was only made public in November because it was buried on its website without a news release. CBC News is the first media outlet to report on the investigation.  

The excess payments to Goreway Power Station included:

• $89 million in ineligible expenses billed as the costs of firing up power production. 
• $5.6 million paid in three months from a flaw in how IESO calculated top-ups for the company committing to generate power a day in advance.   
• Of $11.2 million paid to compensate the company for IESO ordering it to start or stop generating power, the investigation concluded "a substantial portion ... was the result of gaming."  

Most privately-owned natural gas-fired plants in the province do not generate electricity constantly, but start and stop production in response to fluctuating market demand, even as the energy minister has requested an halt to natural gas generation across the grid.  IESO pays them a premium for the costs of firing up production, through what it calls "generation cost guarantee" programs. 

But the investigation found IESO did little checking into the details of Goreway Power Station's billings. 

Goreway Power Station, located near Highway 407 in Brampton, Ont., is an 875 megawatt natural gas power plant. (Goreway)

"Conservatively, at least $89 million of Goreway's submissions were clearly ineligible by any reasonable measure," concludes the report.

"Goreway routinely submitted what were obviously inappropriate expenses to be reimbursed by the IESO, and ultimately borne by Ontario ratepayers,"

The investigation panel found an "extraordinary pattern" to these billings by Goreway Power Station, suggesting the IESO should have caught on sooner. The company submitted more than $100 million in start-up operating and maintenance costs during the three-year period investigated — more than all other gas-fired generators in the province combined. The company's costs per start-up were more than double the next most expensive power generator. 

"Goreway repeatedly exploited defects in the GCG (generation cost guarantee) program, and in doing so received at least $89 million in gamed GCG payments." 

Company fined $10M

The investigation covered a three-year period from when Goreway Power Station began generating power in June 2009. Investigators said that delays in releasing documents slowed down their probe, and they only obtained all the records they needed in April 2016.

The investigating panel does not have the power to impose penalties on companies it found broke the rules. 

The IESO fined Goreway Power Station $10 million. The company has also repaid IESO "a substantial portion" of the excess payments it received during its first six years of operating, but the exact figure is blacked out in the investigation report that was made public. 

The control room from which the provincial government's Independent Electricity System Operator manages Ontario's power supply. The agency is also responsible for managing contracts with private power producers.(IESO)

"Goreway does not agree with many of the draft report's findings and conclusions, including any suggestion that Goreway engaged in gaming or that it deliberately misled the IESO," writes lawyer George Vegh on behalf of the company in a response to the investigation report, dated Aug. 1.

"Goreway has implemented initiatives designed to ensure that compliance is a chief operating principle."     

The power station, located near Highway 407 in Brampton, is a joint venture between Toyota Tsusho Corp. and JERA Co. Inc. During the period under scrutiny, the project was run by Toyota Tsusho and Chubu Electric Power Inc., both headquartered in Japan. 

Investigators fear 'same situation' exists today

The report blames the provincially-controlled IESO for creating a system with defects that allowed the over-billing. 

"Goreway was able to — and repeatedly did — exploit these defects," says the investigation report. It goes on to explain the flaws "have created opportunities for exploitation, to the serious financial disadvantage of Ontario's ratepayers," even as greening Ontario's grid could entail massive costs.

The investigation suggests IESO hasn't made adequate changes to ensure it won't happen again, at a time when an analysis of a dirtier grid is raising concerns.   

"Goreway stands as a clear example of how generators are able to exploit the generation costs guarantee regime," says the report.

"The Panel is concerned that the same situation remains in place today." 

PC energy critic Todd Smith raised CBC News' report on the Goreway Power Station in Tuesday's question period. (Ontario Legislature)

After CBC News broke the story Tuesday, the provincial government was forced to respond in question period, amid a broader push for new gas plants to boost electricity production. 

"Here we have yet another gas plant scandal in Peel region that's costing electricity customers over $100 million," said PC energy critic Todd Smith. He slammed "the incompetence of a government that once again failed to look out for electricity customers." 

Economic Development Minister Brad Duguid said: "There is no excuse for any company in this province to ever game the system."

Nine companies overbilled $200M: audit 

The IESO found out about the overbilling "some time ago," said Duguid.

"They fully investigated, they've recovered most of the cost, they delivered a $10 million fine — the biggest fine on record."

The program that Goreway exploited became the subject of an audit that the IESO launched in 2011. The agency uncovered $200 million in ineligible billings by nine power producers, wrote the IESO vice president for policy Terry Young in an email to CBC News.

The IESO has recovered up to 85 per cent of those ineligible costs, Young noted.

Reforms to the design of the the program have removed the potential for overpayments and made it more efficient, he said, even as Ontario weighs embracing clean power more broadly. Last year, its total annual costs dropped to $23 million, down from $61 million in 2014.

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Ontario Competitive Energy Procurement accelerates renewables, boosts grid reliability, and invites competitive bids across solar, wind, natural gas, and storage, driving innovation, lower costs, and decarbonization to meet rising electricity demand and ensure power supply.

Key Points

Ontario Competitive Energy Procurement is a competitive bidding program to deliver reliable, low-carbon electricity.

✅ Competitive bids from renewables, gas, and storage

✅ Targets grid reliability, affordability, and emissions

✅ Phased evaluations: technical, financial, environmental

Ontario has recently marked a significant milestone in its energy sector with the launch of what is being touted as the largest competitive energy procurement process in the province’s history. This ambitious initiative is set to transform the province’s energy landscape through a broader market overhaul that fosters innovation, enhances reliability, and addresses the growing demands of Ontario’s diverse population.

A New Era of Energy Procurement

The Ontario government’s move to initiate this massive competitive procurement process underscores a strategic shift towards modernizing and diversifying the province’s energy portfolio. This procurement exercise will invite bids from a broad spectrum of energy suppliers and technologies, ranging from traditional sources like natural gas to renewable energy options such as solar and wind power. The aim is to secure a reliable and cost-effective energy supply that aligns with Ontario’s long-term environmental and economic goals.

This historic procurement process represents a major leap from previous approaches by emphasizing a competitive marketplace where various energy providers can compete on an equal footing through electricity auctions and transparent bidding. By doing so, the government hopes to drive down costs, encourage technological advancements, and ensure that Ontarians benefit from a more dynamic and resilient energy system.

Key Objectives and Benefits

The primary objectives of this procurement initiative are multifaceted. First and foremost, it seeks to enhance the reliability of Ontario’s electricity grid. As the province experiences population growth and increased energy demands, maintaining a stable and dependable supply of electricity is crucial, and interprovincial imports through an electricity deal with Quebec can complement local generation. This procurement process will help identify and integrate new sources of power that can meet these demands effectively.

Another significant goal is to promote environmental sustainability. Ontario has committed to reducing its greenhouse gas emissions through Clean Electricity Regulations and transitioning to a cleaner energy mix. By inviting bids from renewable energy sources and innovative technologies, the government aims to support its climate action plan and contribute to the province’s carbon reduction targets.

Cost-effectiveness is also a central focus of the procurement process. By creating a competitive environment, the government anticipates that energy providers will strive to offer more attractive pricing structures and fair electricity cost allocation practices for ratepayers. This, in turn, could lead to lower energy costs for consumers and businesses, fostering economic growth and improving affordability.

The Competitive Landscape

The competitive energy procurement process will be structured to encourage participation from a wide range of energy providers. This includes not only established companies but also emerging players and startups with innovative technologies. By fostering a diverse pool of bidders, the government aims to ensure that all viable options are considered, ultimately leading to a more robust and adaptable energy system.

Additionally, the process will likely involve various stages of evaluation, including technical assessments, financial analyses, and environmental impact reviews. This thorough evaluation will help ensure that selected projects meet the highest standards of performance and sustainability.

Implications for Stakeholders

The implications of this procurement process extend beyond just energy providers and consumers. Local communities, businesses, and environmental organizations will all play a role in shaping the outcomes. For communities, this initiative could mean new job opportunities and economic development, particularly in regions where new energy projects are developed. For businesses, the potential for lower energy costs and access to innovative energy solutions, including demand-response initiatives like the Peak Perks program, could drive growth and competitiveness.

Environmental organizations will be keenly watching the process to ensure that it aligns with broader sustainability goals. The inclusion of renewable energy sources and advanced technologies will be a critical factor in evaluating the success of the initiative in meeting Ontario’s climate objectives.

Looking Ahead

As Ontario embarks on this unprecedented energy procurement journey, the outcomes will be closely watched by various stakeholders. The success of this initiative will depend on the quality and diversity of the bids received, the efficiency of the evaluation process, and the ability to integrate new energy sources into the existing grid, while advancing energy independence where feasible.

In conclusion, Ontario’s launch of the largest competitive energy procurement process in its history is a landmark event that holds promise for a more reliable, sustainable, and cost-effective energy future. By embracing competition and innovation, the province is setting a new standard for energy procurement that could serve as a model for other regions seeking to modernize their energy systems. The coming months will be crucial in determining how this bold initiative will shape Ontario’s energy landscape for years to come.

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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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European Power Demand During Second Lockdowns remains resilient as winter heating offsets commercial losses; electricity consumption tracks seasonal norms, with weather sensitivity, industrial activity, natural gas shielding, and coal decline shaping dynamics under COVID-19 restrictions.

Key Points

It is expected to remain near seasonal norms, driven by heating, industry activity, and weather sensitive consumption.

✅ Winter heating offsets retail and hospitality closures

✅ Demand sensitivity rises with colder weather in France

✅ Gas generation shielded; coal likely to curtail first

European power demand is likely to hold up in the second round of national lockdown restrictions, with fluctuations most likely driven by changes in the weather.

Traders and analysts expect normal consumption this time around as home heating during the chilly season replaces commercial demand.

Last week electricity consumption in France, Germany and the U.K. was close to business-as-usual levels for the time of year, according to BloombergNEF data. By contrast, power demand had dropped 16% in the first seven days of the springtime lockdown, as reflected by the U.K.’s 10% daily decline reported then.

How power demand performs has significance outside the sector. It’s often seen as a proxy for economic growth and during lockdowns earlier this year, electricity use slumped along with GDP, and stunted hydro and nuclear output could further hobble recovery. For Western Europe, annual demand is expected to be 5% lower than the previous year, a bigger decline than after the global financial crisis in 2008, according to S&P Global Platts.

The Covid-19 limits are lighter than those from earlier in the year “with an explicit drive to preserve economic activity, particularly at the more energy-intensive industrial end of the spectrum,” said Glenn Rickson, head of European power analysis at S&P Global Platts.

Higher levels of working from home will offset some of the losses from shop and hospitality closures, “but also increase the temperature sensitivity of overall gas and power demand, as heat-driven demand records have shown in recent summers,” he said.

The latest wave of national lockdowns began in France, Germany, Spain, Italy and Britain, with Spain having seen April demand plummet earlier in the year, as coronavirus cases surged and officials struggled to keep the spread of the virus under control.

Much of the manufacturing industry remains working for now despite additional restrictions to contain the coronavirus. With the peak of the second wave yet to be reached, “it seems almost inevitable that the fourth quarter will prove economically challenging,” analysts at Alfa Energy said.

There will initially be significantly less of an impact on demand compared with this spring when global daily demand dipped about 15% and electricity consumption in Europe was down 30%, Johan Sigvardsson, power price analyst at Swedish utility Bixia AB said.

The prevalence of electric heating systems in France means that power demand is particularly sensitive to cold weather. A cold spell would significantly boost demand and drive record electricity prices in tight markets.

Similar to the last round of shutdowns, it’s use of coal that will probably be hit first if power demand sags, as transition-focused responses gather pace, leaving natural gas mostly shielded from fluctuations in the market.

“We expect that another drop in power demand would again impact coal-fired generation and shield gas power to some extent,” said Carlos Torres Diaz, an analyst at Rystad Energy.

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Pennsylvania Electric Rate Increases hit Peco, PPL, and Pike County, driven by natural gas costs and wholesale power markets; default rate changes, price to compare shifts, and time-of-use plans affect residential bills.

Key Points

Electric default rates are rising across Pennsylvania as natural gas costs climb, affecting Peco, PPL, and Pike customers.

✅ PPL, Peco, and Pike raising default rates Dec. 1

✅ Natural gas costs driving wholesale power prices

✅ Consider standard offer, TOU rates, and efficiency

Energy costs for electric customers are going up by as much as 50% across Pennsylvania next week, the latest manifestation of US electricity price increases impacting gasoline, heating oil, propane, and natural gas.

Eight Pennsylvania electric utilities are set to increase their energy prices on Dec. 1, reflecting the higher cost to produce electricity. Peco Energy, which serves Philadelphia and its suburbs, will boost its energy charge by 6.4% on Dec. 1, from 6.6 cents per kilowatt hour to about 7 cents per kWh. Energy charges account for about half of a residential bill.

PPL Electric Utilities, the Allentown company that serves a large swath of Pennsylvania including parts of Bucks, Montgomery, and Chester Counties, will impose a 26% increase on residential energy costs on Dec. 1, from about 7.5 cents per kWh to 9.5 cents per kWh. That’s an increase of $40 a month for an electric heating customer who uses 2,000 kWh a month.

Pike County Light & Power, which serves about 4,800 customers in Northeast Pennsylvania, will increase energy charges by 50%, according to the Pennsylvania Public Utility Commission.

“All electric distribution companies face the same market forces as PPL Electric Utilities,” PPL said in a statement. Each Pennsylvania utility follows a different PUC-regulated plan for procuring energy from power generators, and those forces can include rising nuclear power costs in some regions, which explains why some customers are absorbing the hit sooner rather than later, it said.

There are ways customers can mitigate the impact. Utilities offer a host of programs and grants to support low-income customers, and some states are exploring income-based fixed charges to address affordability, and they encourage anyone struggling to pay their bills to call the utility for help. Customers can also control their costs by conserving energy. It may be time to put on a sweater and weatherize the house.

Peco recently introduced time-of-use rates — as seen when Ontario ended fixed pricing — that include steep discounts for customers who can shift electric usage to late night hours — that’s you, electric vehicle owners.

There’s also a clever opportunity available for many Pennsylvania customers called the “standard offer” that might save you some real money, but you need to act before the new charges take effect on Dec. 1 to lock in the best rates.

Why are the price hikes happening?
But first, how did we get here?

Energy charges are rising for a simple reason: Fuel prices for power generators are increasing, and that’s driven mostly by natural gas. It’s pushing up electricity prices in wholesale power markets and has lifted typical residential bills in recent years.

“It’s all market forces right now,” said Nils Hagen-Frederiksen, PUC spokesperson. Energy charges are strictly a pass-through cost for utilities. Utilities aren’t allowed to mark them up.

The increase in utility energy charges does not affect customers who buy their energy from competitive power suppliers in deregulated electricity markets. About 27% of Pennsylvania’s 5.9 million electric customers who shop for electricity from third-party suppliers either pay fixed rates, whose price remains stable, or are on a variable-rate plan tied to market prices. The variable-rate electric bills have probably already increased to reflect the higher cost of generating power.

Most New Jersey electric customers are shielded for now from rising energy costs. New Jersey sets annual energy prices for customers who don’t shop for power. Those rates go into effect on June 1 and stay in place for 12 months. The current energy market fluctuations will be reflected in new rates that take effect next summer, said Lauren Ugorji, a spokesperson for Public Service Electric & Gas Co., New Jersey’s largest utility.

For each utility, its own plan
Pennsylvania has a different system for setting utility energy charges, which are also known as the “default rate,” because that’s the price a customer gets by default if they don’t shop for power. The default rate is also the same thing as the “price to compare,” a term the PUC has adopted so consumers can make an apples-to-apples comparison between a utility’s energy charge and the price offered by a competitive supplier.

Each of the state’s 11 PUC-regulated electric utilities prepares its own “default service plan,” that governs the method by which they procure power on wholesale markets. Electric distribution companies like Peco are required to buy the lowest priced power. They typically buy power in blind auctions conducted by independent agents, so that there’s no favoritism for affiliated power generators

Some utilities adjust charges quarterly, and others do it semi-annually. “This means that each [utility’s] resulting price to compare will vary as the market changes, some taking longer to reflect price changes, both up and down,” PPL said in a statement. PPL conducted its semi-annual auction in October, when energy prices were rising sharply.

Most utilities buy power from suppliers under contracts of varying durations, both long-term and short-term. The contracts are staggered so market price fluctuations are smoothed out. One utility, Pike County Power & Light, buys all its power on the spot market, which explains why its energy charge will surge by 50% on Dec. 1. Pike County’s energy charge will also be quicker to decline when wholesale prices subside, as they are expected to next year.

Peco adjusts its energy charge quarterly, but it conducts power auctions semi-annually. It buys about 40% of its power in one-year contracts, and 60% in two-year contracts, and does not buy any power on spot markets, said Richard G. Webster Jr., Peco’s vice president of regulatory policy and strategy.

“At any given time, we’re replacing about a third of our supplied portfolio,” he said.

The utility’s energy charge affects only part of the monthly bill. For a Peco residential electric customer who uses 700 kWh per month, the Dec. 1 energy charge increase will boost monthly bills by $2.94 per month, or 2.9%. For an electric heating customer who uses about 2,000 kWh per month, the change will boost bills $8.40 a month, or about 3.5%, said Greg Smore, a Peco spokesperson.
 

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Hydro-Québec Bill 34 Refund issues $535M customer credits tied to electricity rates, consumption-based rebates, and variance accounts, averaging $60 per account and 2.49% of 2018-2019 usage, via bill credits or mailed cheques.

Key Points

A $535M credit refunding 2.49% of 2018-2019 usage to Hydro-Québec customers via bill credits or cheques.

✅ Applies to 2018-2019 consumption; average refund about $60.

✅ Current customers get bill credits; former customers receive cheques.

✅ Refund equals 2.49% of usage from variance accounts under prior rates.

Following the adoption of Bill 34 in December 2019, a total amount of $535 million will be refunded to customers who were Hydro-Québec account holders in 2018 or 2019. This amount was accumulated in variance accounts required under the previous rate system between January 1, 2018, and December 31, 2019.

If you are still a Hydro-Québec customer, a credit will be applied to your bill in the coming weeks, and improving billing layout clarity is a focus in some provinces as well. The amount will be indicated on your bill.

An average refund amount of $60. The refund amount is calculated based on the quantity of electricity that each customer consumed in 2018 and 2019. The refund will correspond to 2,49% of each customer's consumption between January 1, 2018, and December 31, 2019, for an average of approximately $60, while Ontario hydro rates are set to increase on Nov. 1.

The following chart provides an overview of the refund amount based on the type of home. Naturally, the number of occupants, electricity use habits and features of the home, such as insulation and energy efficiency, may have a significant impact on the amount of the refund, and in other provinces, oversight debates continue following a BC Hydro fund surplus revelation.

What if you were an account holder in 2018 or 2019 but you are no longer a Hydro-Québec customer?
People who were account holders in 2018 or 2019, but who are no longer Hydro-Québec customers will receive their credit by cheque, a lump sum credit approach seen elsewhere.

To receive their cheque, these people must get in touch to update their address in one of the following ways:  

If they have a Hydro-Québec Customer Space and remember their access code, they can update their profile.

Anyone without a Customer Space or who doesn't remember their access code can fill out the Request for a credit form at the following address: www.hydroquebec.com/credit in which they can indicate the address where they wish to receive their cheque, where applicable.

Those who cannot send us their address online can call 514 385-7252 or 1 888 385-7252 to give it to a customer services representative, as utilities like Hydro One have moved to reconnect customers in some cases. Note that the process will take longer on the phone, especially if the call volume is high.

UPDATE: Hydro-Québec will be returning an additional $35 million to customers under the adoption of Bill 34, amid overcharging allegations reported elsewhere.

Energy Minister Jonatan Julien announced on Tuesday that the public utility will be refunding a total of $535 million to customers between January and April.

The legislation, which was passed in December, allows the Quebec government to take control of the rates charged for electricity in the province, including decisions on whether to seek a rate hike next year under the new framework.

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