Durham approves Clarington incinerator

Ontario Off-Peak Electricity Rate Relief extends 8.5 cents/kWh pricing 24/7 for residential, small business, and farm customers, covering Time-Of-Use and tiered plans to stabilize utility bills during COVID-19 Stay-at-Home measures across Ontario.

Key Points

A province-wide 8.5 cents/kWh price applied 24/7 until Feb 22, 2021 for TOU and tiered users to reduce electricity bills

✅ 8.5 cents/kWh, applied 24/7 through Feb 22, 2021

✅ Available to TOU and tiered OEB-regulated customers

✅ Automatic on bills for homes, small businesses, farms

The Ontario government is once again extending electricity rate relief for families, small businesses and farms to support those spending more time at home while the province maintains the Stay-at-Home Order in the majority of public health regions. The government will continue to hold electricity prices to the off-peak rate of 8.5 cents per kilowatt-hour, compared with higher peak rates elsewhere in the day, until February 22, 2021. This lower rate is available 24 hours per day, seven days a week for Time-Of-Use and tiered customers.

"We know staying at home means using more electricity during the day when electricity prices are higher, that's why we are once again extending the off-peak electricity rate to provide households, small businesses and farms with stable and predictable electricity bills when they need it most," said Greg Rickford, Minister of Energy, Northern Development and Mines, Minister of Indigenous Affairs. "We thank Ontarians for continuing to follow regional Stay-at-Home orders to help stop the spread of COVID-19."

The off-peak rate came into effect January 1, 2021, providing families, farms and small businesses with immediate electricity rate relief, and for industrial and commercial companies, stable pricing initiatives have provided additional certainty. The off-peak rate will now be extended until the end of day February 22, 2021, for a total of 53 days of emergency rate relief. During this period, and alongside temporary disconnect moratoriums for residential customers, the off-peak price will continue to be automatically applied to electricity bills of all residential, small business, and farm customers who pay regulated rates set by the Ontario Energy Board and get a bill from a utility.

"We extend our thanks to the Ontario Energy Board and local distribution companies across the province, including Hydro One, for implementing this extended emergency rate relief and supporting Ontarians as they continue to work and learn from home," said Bill Walker, Associate Minister of Energy.

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CPUC Exit Fee Increase for CCAs adjusts the PCIA, affecting utilities, San Diego ratepayers, renewable energy procurement, customer equity, and cost allocation, while providing regulatory certainty for Community Choice Aggregation programs and clean energy goals.

Key Points

A CPUC-approved change raising PCIA exit fees paid by CCAs to utilities, balancing cost shifts and customer equity.

✅ PCIA rises from about 2.5c to roughly 4.25c per kWh in San Diego

✅ Aims to reduce cost shifts and protect non-CCA customers

✅ Offers regulatory certainty for CCA launches and clean energy goals

The California Public Utilities Commission approved an increase on the exit fees charged to customers who take part in Community Choice Aggregation -- government-run alternatives to traditional utilities like San Diego Gas & Electric.

After reviewing two competing exit fee proposals, all five commissioners voted Thursday in favor of an adjustment that many CCA advocates predicted could hamper the growth of the community choice movement.

But minutes after the vote was announced, one of the leading voices in favor of the city San Diego establishing its own CCA said the decision was good news because it provides some regulatory certainty.

"For us in San Diego, it's a green light to move forward with community choice," said Nicole Capretz, executive director of the Climate Action Campaign. "For us, it's let's go, let's launch and let's give families a choice. We no longer have to wait."

Under the CCA model, utilities still maintain transmission and distribution lines (poles and wires, etc.) and handle customer billing. But officials in a given local government entity make the final decisions about what kind of power sources are purchased.

Once a CCA is formed, its customers must pay an exit fee -- called a Power Charge Indifference Adjustment -- to the legacy utility serving that particular region. The fee is included in customers' monthly bills.

The fee is required to offset the costs of the investments utilities made over the years for things like natural gas power plants, renewable energy facilities and other infrastructure.

Utilities argue if the exit fee is set too low, it does not fairly compensate them for their investments; if it's too high, CCAs complain it reduces the financial incentive for their potential customers.

The Public Utilities Commission chose to adopt a proposal that some said was more favorable to utilities, leading to complaints from CCA boosters.

"We see this will really throw sand in the gears in our ability to do things that can move us toward (climate change) goals," Jim Parks, staff member of Valley Clean Energy, a CCA based in Davis, said before the vote.

Commissioner Carla Peterman, who authored the proposal that passed, said she supports CCAs but stressed the commission has a "legal obligation" to make sure increased costs are not shouldered by "customers who do not, or cannot, join a CCA. Today's proposal ensures a more level playing field between customers."

As for what the vote means for the exit fee in San Diego, Peterman's office earlier in the week estimated the charge would rise from 2.5 cents a kilowatt-hour to about 4.25 cents.

The Clear the Air Coaltion, a San Diego County group critical of CCAs, said the newly established exit fee -- which goes into effect starting next year -- is "a step in the direction."

But the group, which includes the San Diego Regional Chamber of Commerce, the San Diego County Taxpayers Association and lobbyists for Sempra Energy (the parent company of SDG&E), repeated concerns it has brought up before.

"If the city of San Diego decides to get into the energy business this decision means ratepayers in National City, Chula Vista, Carlsbad, Imperial Beach, La Mesa, El Cajon and all other neighboring communities would see higher energy bills, and San Diego taxpayers would be faced with mounting debt," coalition spokesman Tony Manolatos said in an email.

CCA supporters say community choice is critical in ensuring San Diego meets the pledge made by Mayor Kevin Faulconer to adopt the city's Climate Action Plan, mandating 100 percent of the city's electricity needs must come from renewable sources by 2035.

Now attention turns to Faulconer, who promised to make a decision on bringing a CCA proposal to the San Diego City Council only after the utilities commission made its decision.

A Faulconer spokesman said Thursday afternoon that the vote "provides the clarity we've been waiting for to move forward" but did not offer a specific time table.

"We're on schedule to reach Mayor Faulconer's goal of choosing a pathway that achieves our renewable energy goals while also protecting ratepayers, and the mayor looks forward to making his recommendation in the next few weeks," said Craig Gustafson, a Faulconer spokesman, in an email.

A feasibility study released last year predicted a CCA in San Diego has the potential to deliver cheaper rates over time than SDG&E's current service, while providing as much as 50 percent renewable energy by 2023 and 80 percent by 2027.

"The city has already figured out we are still capable of launching a program, having competitive, affordable rates and finally offering families a choice as to who their energy provider is," said Capretz, who helped draft an initial blueprint of the climate plan as a city staffer.

SDG&E has come to the city with a counterproposal that offers 100 percent renewables by 2035.

Thus far, the utility has produced a rough outline for a "tariff" program that would charge ratepayers the cost of delivering more clean sources of energy over time.

Some council members have expressed frustration more specifics have not been sketched out.

SDG&E officials said they will take the new exit fee into account as they go forward with their counterproposal to the city council.

Speaking in general about the utility commission's decision, SDG&E spokeswoman Helen Gao called it "a victory for our customers, as it minimizes the cost shifts that they have been burdened with under the existing fee formula.

"As commissioners noted in rendering their decision, reforming the (exit fee) addresses a customer-to-customer equity issue and has nothing to do with increasing profits for investor-owned utilities," Gao said in an email.

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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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Nuclear fusion breakthrough signals progress toward clean energy as NIF lasers near ignition and net energy gain, while tokamak designs like ITER advance magnetic confinement, plasma stability, and self-sustaining chain reactions for commercial reactors.

Key Points

A milestone as lab fusion nears ignition and net gain, indicating clean energy via lasers and tokamak confinement.

✅ NIF laser shot approached ignition and triggered self-heating

✅ Tokamak path advances with ITER and stronger magnetic confinement

✅ Net energy gain remains the critical milestone for power plants

Just 100 years ago, when English mathematician and astronomer Arthur Eddington suggested that the stars power themselves through a process of merging atoms to create energy, heat, and light, the idea was an unthinkable novelty. Now, in 2021, we’re getting remarkably close to recreating the process of nuclear fusion here on Earth. Over the last century, scientists have been steadily chasing commercial nuclear fusion, ‘the holy grail of clean energy.’ The first direct demonstration of fusion in a lab took place just 12 years after it was conceptualized, at Cambridge University in 1932, followed by the world’s first attempt to build a fusion reactor in 1938. In 1950, Soviet scientists Andrei Sakharov and Igor Tamm propelled the pursuit forward with their development of the tokamak, a fusion device involving massive magnets which is still at the heart of many major fusion pursuits today, including the world’s biggest nuclear fusion experiment ITER in France.

Since that breakthrough, scientists have been getting closer and closer to achieving nuclear fusion. While fusion has indeed been achieved in labs throughout this timeline, it has always required far more energy than it emits, defeating the purpose of the commercial fusion initiative, and elsewhere in nuclear a new U.S. reactor start-up highlights ongoing progress. If unlocked, commercial nuclear fusion would change life as we know it. It would provide an infinite source of clean energy requiring no fossil fuels and leaving behind no hazardous waste products, and many analysts argue that net-zero emissions may be out of reach without nuclear power, underscoring fusion’s promise.

Nuclear fission, the process which powers all of our nuclear energy production now, including next-gen nuclear designs in development, requires the use of radioactive isotopes to achieve the splitting of atoms, and leaves behind waste products which remain hazardous to human and ecological health for up to tens of thousands of years. Not only does nuclear fusion leave nothing behind, it is many times more powerful. Yet, it has remained elusive despite decades of attempts and considerable investment and collaboration from both public and private entities, such as the Gates-backed mini-reactor concept, around the world.

But just this month there was an incredible breakthrough that may indicate that we are getting close. “For an almost imperceptible fraction of a second on Aug. 8, massive lasers at a government facility in Northern California re-created the power of the sun in a tiny hot spot no wider than a human hair,” CNET reported in August. This breakthrough occurred at the National Ignition Facility, where scientists used lasers to set off a fusion reaction that emitted a stunning 10 quadrillion watts of power. Although the experiment lasted for just 100 trillionths of a second, the amount of energy it produced was equal to about “6% of the total energy of all the sunshine striking Earth’s surface at any given moment.”

“This phenomenal breakthrough brings us tantalizingly close to a demonstration of ‘net energy gain’ from fusion reactions — just when the planet needs it,” said Arthur Turrell, physicist and nuclear fusion expert. What’s more, scientists and experts are hopeful that the rate of fusion breakthroughs will continue to speed up, as interest in atomic energy is heating up again across markets, and commercial nuclear fusion could be achieved sooner than ever seemed possible before. At a time when it has never been more important or more urgent to find a powerful and affordable means of producing clean energy, and as policies like the U.K.’s green industrial revolution guide the next waves of reactors, commercial nuclear fusion can’t come fast enough.

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ERCOT Ancillary Services Clawback and VOLL Pricing summarize PUCT and IMM actions on load shed, real-time pricing adders, clawbacks, and settlement corrections after the 2021 winter storm in the Texas power grid market.

Key Points

Policies addressing clawbacks for unprovided AS and correcting VOLL-based price adders after load shed ended in ERCOT.

✅ PUCT ordered clawbacks for ancillary services not delivered.

✅ IMM urged price correction after firm load shed ceased.

✅ ERCOT's VOLL adder raised costs by $16B during 32 hours.

Potomac Economics, the Independent Market Monitor (IMM) for the Electric Reliability Council of Texas (ERCOT), filed a report with the Public Utility Commission of Texas (PUCT) that certain payments were made by ERCOT for Ancillary Services (AS) that were not provided, even as ERCOT later issued a winter reliability RFP to procure capacity during subsequent seasons.

According to the IMM (emphasis added):

There were a number of instances during the operating days outlined above in which AS was not provided in real time because of forced outages or derations. For market participants that are not able to meet their AS responsibility, typically the ERCOT operator marks the short amount in the software. This causes the AS responsibility to be effectively removed and the day-ahead AS payment to be clawed back in settlement. However, the ERCOT operators did not complete this task during the winter event, echoing issues like the Ontario IESO phantom demand that cost customers millions, and therefore the "failure to provide" settlements were not invoked in real time.

Removing the operator intervention step and automating the "failure to provide" settlement was contemplated in NPRR947: Clarification to Ancillary Service Supply Responsibility Definition and Improvements to Determining and Charging for Ancillary Service Failed Quantities; however, the NPRR was withdrawn in August 2020 amid ongoing market reform discussions because of the system cost, some complexities related to AS trades, and the implementation of real-time co-optimization.

Invoking the "failure to provide" settlement for all AS that market participants failed to provide during the operating days outlined above will produce market outcomes and settlements consistent with underlying market principles. In this case, the principle is that market participants should not be paid for services that they do not provide, even as a separate ruling found power plants exempt from providing electricity in emergencies under Texas law, underscoring the distinction between obligations and settlements. Whether ERCOT marked the short amount in real-time or not should not affect the settlement of these ancillary services.

On March 3, 2021, the PUCT ordered (a related press release is here) that:

ERCOT shall claw back all payments for ancillary service that were made to an entity that did not provide its required ancillary service during real time on ERCOT operating days starting February 14, 2021 and ending on February 19,2021.

On March 4, 2021, the IMM filed another report and recommended that:

the [PUCT] direct ERCOT to correct the real-time prices from 0:00 February 18,2021, to 09:00 February 19, 2021, to remove the inappropriate pricing intervention that occurred during that time period.

The IMM approvingly noted the PUCT's February 15, 2021 order, which mandated that real-time energy prices reflect firm load shed by setting prices at the value of lost load (VOLL).1

According to the IMM (emphasis added):

This is essential in an energy-only market, like ERCOT's, where the Texas power grid faces recurring crisis risks, because it provides efficient economic signals to increase the electric generation needed to restore the load and service it reliably over the long term.

Conversely, it is equally important that prices not reflect VOLL when the system is not in shortage and load is being served, and experiences in capacity markets show auction payouts can fall sharply under different conditions. The Commission recognized this principle in its Order, expressly stating it is only ERCOT's out-of-market shedding firm load that is required to be reflected in prices. Unfortunately, ERCOT exceeded the mandate of the Commission by continuing to set process at VOLL long after it ceased the firm load shed.

ERCOT recalled the last of the firm load shed instructions at 23:55 on February 17, 2021. Therefore, in order to comply with the Commission Order, the pricing intervention that raised prices to VOLL should have ended immediately at that time. However, ERCOT continued to hold prices at VOLL by inflating the Real-Time On-Line Reliability Deployment Price Adder for an additional 32 hours through the morning of February 19. This decision resulted in $16 billion in additional costs to ERCOT's market, prompting legislative bailout proposals in Austin, of which roughly $1.5 billion was uplifted to load-serving entities to provide make-whole payments to generators for energy that was not needed or produced.

However, at its March 5, 2021, open meeting (related discussion begins around minute 20), although the PUCT acknowledged the "good points" raised by the IMM, the PUCT was not willing to retrospectively adjust its real-time pricing for this period out of concerns that some related transactions (ICE futures and others) may have already settled and for unintended consequences of such retroactive adjustments.  

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Northern Pass Project faces rejection by New Hampshire regulators, halting Hydro-Quebec clean energy transmission lines to Massachusetts; Eversource vows appeal as the Site Evaluation Committee cites development concerns and alternative routes through Vermont and Maine.

Key Points

A project to transmit Hydro-Quebec power to Massachusetts via New Hampshire, recently rejected by state regulators.

✅ New Hampshire SEC denied the transmission application

✅ Up to 9.45 TWh yearly from Hydro-Quebec to Massachusetts

✅ Eversource plans appeal; alternative routes via Vermont, Maine

Regulators in the state of New Hampshire on Thursday rejected a major electricity project being piloted by Quebec’s hydro utility and its American partner, Eversource.

Members of New Hampshire’s Site Evaluation Committee unanimously denied an application for the Northern Pass project a week after the state of Massachusetts green-lit the proposal.

Both states had to accept the project, as the transmission lines were to bring up to 9.45 terawatt hours of electricity per year from Quebec’s hydroelectric plants to Massachusetts as part of Hydro-Quebec’s export bid to New England, through New Hampshire.

The 20-year proposal was to be the biggest export contract in Hydro-Quebec’s history, in a region where Connecticut is leading a market overhaul that could affect pricing, and would generate up to $500 million in annual revenues for the provincial utility.

Hydro-Quebec’s U.S. partner, Eversource, said in a new release it was “shocked and outraged” by the New Hampshire regulators’ decision and suggested it would appeal.

“This decision sends a chilling message to any energy project contemplating development in the Granite State,” said Eversource. “We will be seeking reconsideration of the SEC’s decision, as well as reviewing all options for moving this critical clean energy project forward, including lessons from electricity corridor construction in Maine.”

The New Hampshire Union Leader reported Thursday the seven members of the evaluation committee said the project’s promoters couldn’t demonstrate the proposed energy transport lines wouldn’t interfere with the region’s orderly development.

Hydro-Quebec spokesman Serge Abergel said the decision wasn’t great news but it didn’t put a end to the negotiations between the company and the state of Massachusetts.

The hydro utility had proposed alternatives routes through Vermont and Maine amid a 145-mile transmission line debate over the corridor should the original plan fall through.

“There is a provision included in the process in the advent of an impasse, which allows Massachusetts to go back and choose the next candidate on the list,” Abergel said in an interview. “There are still cards left on the table.”

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