OEB Invites Input on Stray Voltage

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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Wisconsin Solar and Wind Energy advances as rooftop solar, utility-scale farms, and NREL perovskite solar cells improve efficiency; wind turbines gain via wake modeling, yaw control, and grid-scale battery storage to cut carbon emissions.

Key Points

It is Wisconsin's growth in rooftop and utility-scale solar plus optimized wind turbines to cut carbon emissions.

✅ Perovskite solar cells promise higher efficiency, need longevity

✅ Wake modeling and yaw control optimize wind farm output

✅ Batteries and bids can offset reliance on natural gas

Solar energy in Wisconsin continued to grow in 2019, as more homeowners had rooftop panels installed and big utilities started building multi-panel solar farms.

Wind power is increasing more slowly in the state. However, renewable power developers are again coming forward with proposals for multiple turbines.

Nationally, researchers are working on ways to get even more energy from solar and wind, with the U.S. moving toward 30% electricity from wind and solar in coming years, as states like Wisconsin aim to reduce their carbon emissions over the next few decades.

One reason solar energy is growing in Wisconsin is due to the silicon panels becoming more efficient. But scientists haven't finished trying to improve panel efficiency. The National Renewable Energy Laboratory (NREL) in Golden, Col., is one of the research facilities experimenting with brushing a lab-made solution called perovskite onto a portion of a panel called a solar cell.

In a demonstration video supplied by NREL, senior scientist Maikel van Hest said that, in the lab anyway, the painted cell and its electrical connections called contacts, produce more energy:

"There you go! That's how you paint a perovskite solar cell. And you imagine that ultimately what you could do is you could see a company come in with a truck in front of your house and they would basically paint on the contacts first, dry those, and paint the perovskite over it. That you would have photovoltaic cells on the side of your house, put protective coating on it, and we're done."

Another NREL scientist, David Moore, says the new solar cells could be made faster and help meet what's expected to be a growing global demand for energy. However, Moore says the problem has been lack of stability.

"A solar cell with perovskites will last a couple years. We need to get that to 20-25 years, and that's the big forefront in perovskite research, is getting them to last longer," Moore told members of the Society of Environmental Journalists during a recent tour of NREL.

Another part of improving renewable energy is making wind turbines more productive. At NREL's Insight Center, a large screen showing energy model simulations dominates an otherwise darkened room. Visualization scientist Nicholas Brunhart-Lupo points to a display on the screen that shows how spinning turbines at one edge of a wind farm can cause an airflow called a wake, which curtails the power generation of other turbines.

"So what we find in these simulations is these four turbines back here, since they have this used air, this low-velocity wake being blown to their faces, they're only generating about 20% of the energy they should be generating," he explains.

Brunhart-Lupo says the simulations can help wind farm developers with placement of turbines as well as adjustments to the rotor and blades called the yaw system.

Continued progress with renewables may be vital to any state or national pledges to reduce use of fossil fuels and carbon emissions linked to climate change, including Biden's solar expansion plan as a potential pathway. Some scientists say to limit a rise in global temperature, there must be a big decline in emissions by 2050.

But even utilities that say they support use of more renewables, as why the grid isn't 100% renewable yet makes clear, aren't ready to let go of some energy sources. Jonathan Adelman of Xcel Energy, which serves part of Western Wisconsin, says Xcel is on track to close its last two coal-fired power plants in Minnesota. But he says the company will need more natural gas plants, even though they wouldn't run as often.

"It's not perfect. And it is in conflict with our ultimate goal of being carbon-free," says Adelman. "But if we want to facilitate the transition, we still need resources to help that happen."

Some in the solar industry would like utilities that say they need more natural gas plants to put out competitive bids to see what else might be possible. Solar advocates also note that in some states, energy regulators still favor the utilities.

Meanwhile, solar slowly marches ahead, including here in southeastern Wisconsin, as Germany's solar power boost underscores global momentum.

On the roof of a ranch-style home in River Hills, a work crew from the major solar firm Sunrun recently installed mounting brackets for solar panels.

Sunrun Public Policy Director Amy Heart says she supports research into more efficient renewables. But she says another innovation may have to come in the way regulators think.

"Instead of allowing and thinking about from the perspective of the utility builds the power plant, they replace one plant with another one, they invest in the infrastructure; is really thinking about how can these distributed solutions like rooftop solar, peer-to-peer energy sharing, and especially rooftop solar paired with batteries how can that actually reduce some of what the utility needs?

Large-scale energy storage batteries are already being used in some limited cases. But energy researchers continue to make improvements to them, too, with cheap solar batteries beginning to make widespread adoption more feasible as scientists race to reduce the expected additional harm of climate change.

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Nova Scotia Clean Power Plan 2030 pivots from the Atlantic Loop, scaling wind and solar, leveraging Muskrat Falls via the Maritime Link, adding battery storage and transmission upgrades to decarbonize grid and retire coal.

Key Points

Nova Scotia's 2030 roadmap to replace coal with wind, solar, hydro imports, storage, and grid upgrades.

✅ 1,000 MW onshore wind to supply 50% by 2030

✅ Battery storage sites and New Brunswick transmission upgrades

✅ Continued Muskrat Falls imports via Maritime Link

Nova Scotia is abandoning the proposed Atlantic Loop in its plan to decarbonize its electrical grid by 2030 amid broader discussions about independent grid planning nationwide, Natural Resources and Renewables Minister Tory Rushton has announced.

The province unveiled its clean power plan calling for 30 per cent more wind power and five per cent more solar energy in the Nova Scotia power grid over the coming years. Nova Scotia's plan relies on continued imports of hydroelectricity from the Muskrat Falls project in Labrador via the Emera-owned Maritime Link.

Right now Nova Scotia generates 60 per cent of its electricity by burning fossil fuels, mostly coal, and some increased use of biomass has also factored into the mix. Nova Scotia Power must close its coal plants by 2030 when 80 per cent of electricity must come from renewable sources in order reduce greenhouse gas emissions causing climate changes.

Critics have urged reducing biomass use in electricity generation across the province.

The clean power plan calls for an additional 1,000 megawatts of onshore wind by 2030 which would then generate 50 per cent of the the province's electricity, while also advancing tidal energy in the Bay of Fundy as a complementary source.    

"We're taking the things already know and can capitalize on while we build them here in Nova Scotia," said Rushton, "More importantly, we're doing it at a lower rate so the ratepayers of Nova Scotia aren't going to bear the brunt of a piece of equipment that's designed and built and staying in Quebec."

The province says it can meet its green energy targets without importing Quebec hydro through the Atlantic loop. It would have brought hydroelectric power from Quebec into New Brunswick and Nova Scotia via upgraded transmission links. But the government said the cost is prohibitive, jumping to $9 billion from nearly $3 billion three years ago with no guarantee of a secure supply of power from Quebec.

"The loop is not viable for 2030. It is not necessary to achieve our goal," said David Miller, the provincial clean energy director. 

Miller said the cost of $250 to $300 per megawatt hour was five times higher than domestic wind supply.

Some of the provincial plan includes three new battery storage sites and expanding the transmission link with New Brunswick. Both were Nova Scotia Power projects paused by the company after the Houston government imposed a cap on the utility's rate increased in the fall of 2022.

The province said building the 345-kilovolt transmission line between Truro, N.S., and Salisbury, N.B., and an extension to the Point Lepreau Nuclear Generating Station, as well as aligning with NB Power deals for Quebec electricity underway, would enable greater access to energy markets.

Miller says Nova Scotia Power has revived both.

Nova Scotia Power did not comment on the new plan, but Rushton spoke for the company.

"All indications I've had is Nova Scotia Power is on board for what is taking place here today," he said.

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Utility Battery Storage Rankings measure grid-connected capacity, not ownership, highlighting MW, MWh, and watts per customer across PJM, MISO, and California IOUs, featuring Duke Energy, IPL, ancillary services, and frequency regulation benefits.

Key Points

Rankings that track energy storage connected to utility grids, comparing MW, MWh, and W/customer rather than ownership.

✅ Ranks by MW, MWh, and watts per customer, not asset ownership

✅ Highlights PJM, MISO cases and California IOUs' deployments

✅ Examples: Duke Energy, IPL, IID; ancillary services, frequency response

The rankings do not tally how much energy storage a utility built or owns, but how much was connected to their system. So while IPL built and owns the storage facility in its territory, Duke does not own the 16 MW of storage that connected to its system in 2016. Similarly, while California’s utilities are permitted to own some energy storage assets, they do not necessarily own all the storage facilities connected to their systems.

Measured by energy (MWh), IPL ranked fourth with 20 MWh, and Duke Energy Ohio ranked eighth with 6.1 MWh.

Ranked by energy storage watts per customer, IPL and Duke actually beat the California utilities, ranking fifth and sixth with 42 W/customer and 23 W/customer, respectively.

Duke ready for next step

Given Duke’s plans, including projects in Florida that are moving ahead, the utility is likely to stay high in the rankings and be more of a driving force in development. “Battery technology has matured, and we are ready to take the next step,” Duke spokesman Randy Wheeless told Utility Dive. “We can go to regulators and say this makes economic sense.”

Duke began exploring energy storage in 2012, and until now most of its energy storage efforts were focused on commercial projects in competitive markets where it was possible to earn revenues. Those included its 36 MW Notrees battery storage project developed in partnership with the Department of Energy in 2012 that provides frequency regulation for the Electric Reliability Council of Texas market and two 2 MW storage projects at its retired W.C. Beckjord plant in New Richmond, Ohio, that sells ancillary services into the PJM Interconnection market.

On the regulated side, most of Duke’s storage projects have had “an R&D slant to them,” Wheeless said, but “we are moving beyond the R&D concept in our regulated territory and are looking at storage more as a regulated asset.”

“We have done the demos, and they have proved out,” Wheeless said. Storage may not be ready for prime time everywhere, he said, but in certain locations, especially where it can it can be used to do more than one thing, it can make sense.

Wheeless said Duke would be making “a number of energy storage announcements in the next few months in our regulated states.” He could not provide details on those projects.

More flexible resources
Location can be a determining factor when building a storage facility. For IPL, serving the wholesale market was a driving factor in the rationale to build its 20 MW, 20 MWh storage facility in Indianapolis.

IPL built the project to address a need for more flexible resources in light of “recent changes in our resource mix,” including decreasing coal-fired generation and increasing renewables and natural gas-fired generation, as other regions plan to rely on battery storage to meet rising demand, Joan Soller, IPL’s director of resource planning, told Utility Dive in an email. The storage facility is used to provide primary frequency response necessary for grid stability.

The Harding Street storage facility in May. It was the first energy storage project in the Midcontinent ISO. But the regulatory path in MISO is not as clear as it is in PJM, whereas initiatives such as Ontario storage framework are clarifying participation. In November, IPL with the Federal Energy Regulatory Commission, asking the regulator to find that MISO’s rules for energy storage are deficient and should be revised.

Soller said IPL has “no imminent plans to install energy storage in the future but will continue to monitor battery costs and capabilities as potential resources in future Integrated Resource Plans.”

California legislative and regulatory push

In California, energy storage did not have to wait for regulations to catch up with technology. With legislative and regulatory mandates, including CEC long-duration storage funding announced recently, as a push, California’s IOUs took high places in SEPA’s rankings.

Southern California Edison and San Diego Gas & Electric were first and fourth (63.2 MW and 17.2 MW), respectively, in terms of capacity. SoCal Ed and SDG&E were first and second (104 MWh and 28.4 MWh), respectively, and Pacific Gas and Electric was fifth (17 MWh) in terms of energy.

But a public power utility, the Imperial Irrigation District (IID), ended up high in the rankings – second in capacity (30 MW) and third  in energy (20 MWh) – even though as a public power entity it is not subject to the state’s energy storage mandates.

But while IID was not under state mandate, it had a compelling regulatory reason to build the storage project. It was part of a settlement reached with FERC over a September 2011 outage, IID spokeswoman Marion Champion said.

IID agreed to a $12 million fine as part of the settlement, of which $9 million was applied to physical improvements of IID’s system.

IID ended up building a 30 MW, 20 MWh lithium-ion battery storage system at its El Centro generating station. The system went into service in October 2016 and in May, IID used the system’s 44 MW combined-cycle natural gas turbine at the generating station.

Passing savings to customers
The cost of the storage system was about $31 million, and based on its experience with the El Centro project, Champion said IID plans to add to the existing batteries. “We are continuing to see real savings and are passing those savings on to our customers,” she said.

Champion said the battery system gives IID the ability to provide ancillary services without having to run its larger generation units, such as El Centro Unit 4, at its minimum output. With gas prices at $3.59 per million British thermal units, it costs about $26,880 a day to run Unit 4, she said.

IID’s territory is in southeastern California, an area with a lot of renewable resources. IID is also not part of the California ISO and acts as its own balancing authority. The battery system gives the utility greater operational flexibility, in addition to the ability to use more of the surrounding renewable resources, Champion said.

In May, IID’s board gave the utility’s staff approval to enter into contract negotiations for a 7 MW, 4 MWh expansion of its El Centro storage facility. The negotiations are ongoing, but approval could come in the next couple months, Champion said.

The heart of the issue, though, is “the ability of the battery system to lower costs for our ratepayers,” Champion said. “Our planning section will continue to utilize the battery, and we are looking forward to its expansion,” she said.” I expect it will play an even more important role as we continue to increase our percentage of renewables.”

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Clean Electricity Standard (CES) sets utility emissions targets, uses tradable credits, and advances decarbonization via technology-agnostic benchmarks, carbon capture, renewable portfolio standards, upstream methane accounting, and cap-and-trade alternatives in reconciliation policy.

Key Points

CES sets utility emissions targets using tradable credits and benchmarks to drive power-sector decarbonization.

✅ Annual clean energy targets phased to 2050

✅ Tradable credits for compliance across utilities

✅ Includes upstream methane and lifecycle emissions

The Biden Administration and Democratic members of Congress have supported including a clean electricity standard (CES) in the upcoming reconciliation bill. A CES is an alternative to pricing carbon dioxide through a tax or cap-and-trade program and focuses on reducing greenhouse gas emissions produced during electricity generation by establishing targets, while early assessments show mixed results so far. In principle, it is a technology-agnostic approach. In practice, however, it pushes particular technologies out of the market.

The details of the CES are still being developed, but recent legislation may provide insight into how the CES could operate. In May, Senator Tina Smith and Representative Ben Ray Luján introduced the Clean Energy Standard Act of 2019 (CESA), while Minnesota's 100% carbon-free mandate offers a state-level parallel, and in January 2020, the House Energy and Commerce Committee released a discussion draft of the Climate Leadership and Environmental Action for our Nation’s (CLEAN) Future Act. Both bills increase the clean energy target annually until 2050 in order to phase out emissions. Both bills also create a credit system where clean sources of electricity as determined by a benchmark, carbon dioxide emitted per kilowatt-hour, receive credits. These credits may be transferred, sold, and auctioned so utilities that fail to meet targets can procure credits from others, as large energy customers push to accelerate clean energy globally.

The bills’ benchmarks vary, and while the CLEAN Future Act allows natural gas-fired generators to receive partial credits, CESA does not. Under both bills, these generators would be expected to install carbon capture technology to continue meeting increasing targets for clean electricity generation. Both bills go beyond considering the emissions resulting from generation and include upstream emissions for natural gas-fired generators. Natural gas, a greenhouse gas, that is leaked upstream of a generator during transportation is to be included among its emissions. The CLEAN Future Act also calls for newly constructed hydropower generators to account for the emissions associated with the facility’s construction despite producing clean electricity. These additional provisions demonstrate not only the CES’s inability to fully address the issue of emissions but also the slippery slope of expanding the program to include other markets, echoing cost and reliability concerns as California exports its energy policies across the West.

A majority of states have adopted clean energy, electricity, or renewable portfolio standards, with some considering revamping electricity rates to clean the grid, leaving legislators with plenty of examples to consider. As they weigh their options, legislators should consider if they are effectively addressing the problem at hand, economy-wide emissions reductions, and at what cost, drawing on examples like New Mexico's 100% clean electricity bill to inform trade-offs.

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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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