New Romanian nuclear plant wonÂ’t be a CANDU

Hybrid Electric Ships leverage marine batteries, LNG engines, and clean propulsion to cut emissions in shipping. From ferries to cargo vessels, electrification and sustainability meet IMO regulations, Corvus Energy systems, and dockside fast charging.

Key Points

Hybrid electric ships use batteries with diesel or LNG engines to cut fuel and emissions and meet stricter IMO rules.

✅ LNG or diesel gensets recharge marine battery packs.

✅ Cuts CO2, NOx, and particulate emissions in port and at sea.

✅ Complies with IMO standards; enables quiet, efficient operations.

The river is running strong and currents are swirling as the 150-metre-long Seaspan Reliant slides gently into place against its steel loading ramp on the shores of B.C.'s silty Fraser River.

The crew hustles to tie up the ship, and then begins offloading dozens of transport trucks that have been brought over from Vancouver Island.

While it looks like many vessels working the B.C. coast, below decks, the ship is very different. The Reliant is a hybrid, partly powered by electricity, and joins BC Ferries' hybrid ships in the region, the seagoing equivalent of a Toyota Prius.

Down below decks, Sean Puchalski walks past a whirring internal combustion motor that can run on either diesel or natural gas. He opens the door to a gleaming white room full of electrical cables and equipment racks along the walls.

"As with many modes of transportation, we're seeing electrification, from electric planes to ferries," said Puchalski, who works with Corvus Energy, a Richmond, B.C. company that builds large battery systems for the marine industry.

In this case, the batteries are recharged by large engines burning natural gas.

"It's definitely the way of the future," said Puchalski.

The 10-year-old company's battery system is now in use on 200 vessels around the world. Business has spiked recently, driven by the need to reduce emissions, and by landmark projects such as battery-electric high-speed ferries taking shape in the U.S.

"When you're building a new vessel, you want it to last for, say, 30 years. You don't want to adopt a technology that's on the margins in terms of obsolescence," said Puchalski. "You want to build it to be future-proof."

Dirty ships

For years, the shipping industry has been criticized for being slow to clean up its act. Most ships use heavy fuel oil, a cheap, viscous form of petroleum that produces immense exhaust. According to the European Commission, shipping currently pumps out about 940 million tonnes of CO2 each year, nearly three per cent of the global total.

That share is expected to climb even higher as other sectors reduce emissions.

When it comes to electric ships, Scandinavia is leading the world. Several of the region's car and passenger ferries are completely battery powered — recharged at the dock by relatively clean hydro power, and projects such as Kootenay Lake's electric-ready ferry show similar progress in Canada.

Tougher regulations and retailer pressure

The push for cleaner alternatives is being partly driven by worldwide regulations, with international shipping regulators bringing in tougher emission standards after a decade of talk and study, while financing initiatives are helping B.C. electric ferries scale up.

At the same time, pressure is building from customers, such as Mountain Equipment Co-op, which closely tracks its environmental footprint. Kevin Lee, who heads MEC's supply chain, said large companies are realizing they are accountable for their contributions to climate change, from the factory to the retail floor.

"You're hearing more companies build it into their DNA in terms of how they do business, and that's cool to see," said Lee. "It's not just MEC anymore trying to do this, there's a lot more partners out there."

In the global race to cut emissions, all kinds of options are on the table for ships, including giant kites being tested to harvest wind power at sea, and ports piloting hydrogen-powered cranes to cut dockside emissions.

Modern versions of sailing ships are also being examined to haul cargo with minimal fuel consumption.

But in practical terms, hybrids and, in the future, pure electrics are likely to play a larger role in keeping the propellers turning along Canada's coast, with neighboring fleets like Washington State Ferries' upgrade underscoring the shift.

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Cloud Data Centers Environmental Impact highlights massive electricity use, carbon emissions, and cooling demands, with coal-heavy grids in China; big tech shifts to renewable energy, green data centers, and cooler climates to boost sustainability.

Key Points

Energy use, emissions, and cooling load of cloud systems, and shifts to renewables to reduce climate impact.

✅ Global data centers use 3-5% of electricity, akin to airlines

✅ Cooling drives energy demand; siting in cool climates saves power

✅ Shift from coal to renewables lowers CO2 and improves PUE

A hidden environmental price makes storing data in the cloud a costly convenience.

Between 3 to 5% of all electricity used globally comes from data centers that house massive computer systems, with computing power forecasts warning consumption could climb, an amount comparable to the airline industry, says Ben Brock Johnson, Here & Now’s tech analyst.

Instead of stashing information locally on our own personal devices, the cloud allows users to free up storage space by sending photos and files to data centers via the internet.

The cloud can also use large data sets to solve problems and host innovative technologies that make cities and homes smarter, but storing information at data centers uses energy — a lot of it.

"Ironically, the phrase 'moving everything to the cloud' is a problem for our actual climate right now," Johnson says.

A new study from Greenpeace and North China Electric Power University reports that in five years, China's data centers alone will consume as much power as the total amount used in Australia in 2018. The industry's electricity consumption is set to increase by 66% over that time.

Buildings storing data produced 99 million metric tons of carbon last year in China, the study finds, with SF6 in electrical equipment compounding warming impacts, which is equivalent to 21 million cars.

The amount of electricity required to run a data center is a global problem, but in China, 73% of these data centers run on coal, even as coal-fired electricity is projected to fall globally this year.

The Chinese government started a pilot program for green data centers in 2015, which Johnson says signals the country is thinking about the environmental consequences of the cloud.

"Beijing’s environmental awareness in the last decade has really come from a visible impact of its reliance on fossil fuels," he says. "The smog of Chinese cities is now legendary and super dangerous."

The country's solar power innovations have allowed the country to surpass the U.S. in cleantech, he says.

Chinese conglomerate Alibaba Group has launched data centers powered by solar and hydroelectric power.

"While I don't know how committed the government is necessarily to making data centers run on clean technology," Johnson says. "I do think it is possible that a larger evolution of the government's feelings on environmental responsibility might impact this newer tech sector."

In the U.S., there has been a big push to make data centers more sustainable amid warnings that the electric grid is not designed for mounting climate impacts.

Canada has made notable progress decarbonizing power, with nationwide electricity gains supporting cleaner data workloads.

Apple now says all of its data centers use clean energy. Microsoft is aiming for 70% renewable energy by 2023, aligning with declining power-sector emissions as producers move away from coal.

Amazon is behind the curve, for once, with about 50%, Johnson says. Around 1,000 employees are planning to walk out on Sept. 20 in protest of the company’s failure to address environmental issues.

"Environmental responsibility fits the brand identities these companies want to project," he says. "And as large tech companies become more competitive with each other, as Apple becomes more of a service company and Google becomes a device company, they want to convince users more and more to think of them as somehow different even if they aren't."

Google and Facebook are talking about building data centers in cooler places like Finland and Sweden instead of hot deserts like Nevada, he says.

In Canada, cleaning up electricity is critical to meeting climate pledges, according to recent analysis.

Computer systems heat up and need to be cooled down by air conditioning units, so putting a data center in a warm climate will require greater cooling efforts and use more energy.

In China, 40% of the electricity used at data centers goes toward cooling equipment, according to the study.

The more data centers consolidate, Johnson says they can rely on fewer servers and focus on larger cooling efforts.

But storing data in the cloud isn't the only way tech users are unknowingly using large amounts of energy: One Google search requires an amount of electricity equivalent to powering a 60-watt light bulb for 17 seconds, magazine Yale Environment 360 reports.

"In some ways, we're making strides even as we are creating a bigger problem," he says. "Which is like, humanity's MO, I guess."

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San Juan Generating Station eyed for $1 coal-plant sale, as Farmington and Acme propose CCS retrofit, meeting emissions caps and renewable mandates by selling captured CO2 for enhanced oil recovery via a nearby pipeline.

Key Points

A New Mexico coal plant eyed for $1 and a CCS retrofit to cut emissions and sell CO2 for enhanced oil recovery.

✅ $400M-$800M CCS retrofit; 90% CO2 capture target

✅ CO2 sales for enhanced oil recovery; 20-mile pipeline gap

✅ PNM projects shutdown savings; renewable and emissions mandates

One dollar. That’s how much an aging New Mexico coal plant is worth. And by some estimates, even that may be too much.

Acme Equities LLC, a New York-based holding company, is in talks to buy the 847-megawatt San Juan Generating Station for $1, after four of its five owners decided to shut it down. The fifth owner, the nearby city of Farmington, says it’s pursuing the bargain-basement deal with Acme to avoid losing about 1,600 direct and indirect jobs in the area amid a broader just transition debate for energy workers.

We respectfully disagree with the notion that the plant is not economical

Acme’s interest comes as others are looking to exit a coal industry that’s been plagued by costly anti-pollution regulations. Acme’s plan: Buy the plant "at a very low cost," invest in carbon capture technology that will lower emissions, and then sell the captured CO2 to oil companies, said Larry Heller, a principal at the holding group.

By doing this, Acme “believes we can generate an acceptable rate of return,” Heller said in an email.

Meanwhile, San Juan’s majority owner, PNM Resources Inc., offers a distinctly different view, echoing declining coal returns reported by other utilities. A 2022 shutdown will push ratepayers to other energy alternatives now being planned, saving them about $3 to $4 a month on average, PNM has said.

“We could not identify a solution that would make running San Juan Generating Station economical,” said Tom Fallgren, a PNM vice president, in an email.

The potential sale comes as a new clean-energy bill, supported by Governor Lujan Grisham, is working its way through the state legislature. It would require the state to get half of its power from renewable sources by 2030, and 100 percent by 2045, even as other jurisdictions explore small modular reactor strategies to meet future demand. At the same time, the legislation imposes an emissions cap that’s about 60 percent lower than San Juan’s current levels.

In response, Acme is planning to spend $400 million to $800 million to retrofit the facility with carbon capture and sequestration technology that would collect carbon dioxide before it’s released into the atmosphere, Heller said. That would put the facility into compliance with the pending legislation and, at the same time, help generate revenue for the plant.

The company estimates the system would cut emissions by as much as 90 percent, and the captured gas could be sold to oil companies, which uses it to enhance well recovery. The bottom line, according to Heller: “A winning financial formula.”

It’s a tricky formula at best. Carbon-capture technology has been controversial, even as new coal plant openings remain rare, expensive to install and unproven at scale. Additionally, to make it work at the San Juan plant, the company would need to figure out how to deliver the CO2 to customers since the nearest pipeline is about 20 miles (32 kilometers) away.

Reducing costs

Acme is also evaluating ways to reduce costs at San Juan, Heller said, including approaches seen at operators extending the life of coal plants under regulatory scrutiny, such as negotiating a cheaper coal-supply contract and qualifying for subsidies.

Farmington’s stake in the plant is less than 10 percent. But under terms of the partnership, the city — population 45,000 — can assume full control of San Juan should the other partners decide to pull out, mirroring policy debates over saving struggling nuclear plants in other regions. That’s given Farmington the legal authority to pursue the plant’s sale to Acme.

At the end of the day, nobody wants the energy

“We respectfully disagree with the notion that the plant is not economical,” Farmington Mayor Nate Duckett said by email. Ducket said he’s in better position than the other owners to assess San Juan’s importance “because we sit at Ground Zero.”

The city’s economy would benefit from keeping open both the plant and a nearby coal mine that feeds it, according to Duckett, with operations that contribute about $170 million annually to the local area.

While the loss of those jobs would be painful to some, Camilla Feibelman, a Sierra Club chapter director, is hard pressed to see a business case for keeping San Juan open, pointing to sector closures such as the Three Mile Island shutdown as evidence of shifting economics. The plant isn’t economical now, and would almost certainly be less so after investing the capital to add carbon-capture systems.

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U.S. Clean Energy Job Losses highlight COVID-19 impacts on renewable energy, solar, wind, and energy efficiency, with PPP fatigue, unemployment, and calls for Congressional stimulus, per Department of Labor data analyzed by E2.

Key Points

Pandemic-driven layoffs across renewable, solar, wind, and efficiency sectors, risking recovery without federal aid.

✅ Over 620,500 clean energy jobs lost in three months

✅ Energy efficiency, solar, and wind hit hardest nationwide

✅ Industry urges Congress for stimulus, tax credit relief

As Congress this week begins debating economic stimulus support for the energy industry, a new analysis of unemployment data shows the biggest part of America's energy economy - clean energy - lost another 27,000 jobs in May, bringing the total number of clean energy workers who have lost their jobs in the past three months to more than 620,500.

While May saw an improvement in new unemployment claims over March and April, the findings represent the sector's third straight month of significant job losses across solar, wind, energy efficiency, clean vehicles and other industries. With coronavirus cases once again rising in many states and companies beginning to run out of the Payroll Protection Program (PPP) funding that has helped small businesses keep workers employed, and as households confront pandemic power shut-offs that heighten energy insecurity, the report increases concerns the sector will be unable to resume its economy-leading jobs growth in the short- or long-term without a significant policy response.

Given the size and scope of the clean energy industry, such a sustained loss would cast a pall on the nation's overall economic recovery, as shifting electricity demand during COVID-19 complicates forecasts, according to the analysis of the Department of Labor's May unemployment data from E2 (Environmental Entrepreneurs), E4TheFuture and the American Council on Renewable Energy (ACORE).

Prior to COVID-19, clean energy - including energy efficiency, solar and wind generation, clean vehicles and related sectors - was among the U.S. economy's biggest and fastest-growing employment sectors, growing 10.4% since 2015 to nearly 3.4 million jobs at the end of 2019. That made clean energy by far the biggest employer of workers in all energy occupations, employing nearly three times as many people as the fossil fuel industry. For comparison, coal mining employs about 47,000 workers, even as clean energy projects in coal communities aim to revitalize local economies.

The latest monthly analysis for the groups by BW Research Partnership runs contrary to recent Bureau of Labor Statistics (BLS) reports, which indicated that a more robust economic rebound was underway, even as high fuel prices haven't spurred a green shift in adoption, while also acknowledging misclassifications and serious reporting difficulties in its own data.

Bob Keefe, Executive Director at E2, said:

"May's almost 30,000 clean energy jobs loss is sadly an improvement in the rate of jobs shed but make no mistake: There remains huge uncertainty and volatility ahead. It will be very tough for clean energy to make up these continuing job losses without support from Congress. Lawmakers must act now. If they do, we can get hundreds of thousands of these workers back on the job today and build a better, cleaner, more equitable economy for tomorrow. And who doesn't want that?"

Pat Stanton, Policy Director at E4TheFuture, said:

"Most of the time, energy efficiency workers need to go inside homes, businesses and other buildings to get the job done. Since they couldn't do that during COVID lockdowns, they couldn't work. Now states are opening up. But utilities, contractors and building owners need to protect employees and occupants from possible exposure to the virus and need more clarity about potential liabilities."

Gregory Wetstone, President and CEO of ACORE, said:

"In May, we saw thousands of additional renewable energy workers join the ranks of the unemployed, further underscoring the damage COVID-19 is inflicting on our workforce. Since the pandemic began, nearly 100,000 renewable energy workers have lost their jobs. We need help from Congress to get American clean energy workers back to work. With commonsense measures like temporary refundability and a delay in the phasedown of renewable energy tax credits, Congress can help restore these good-paying jobs so the renewable sector can continue to provide the affordable, pollution-free power American consumers and businesses want and deserve."

Phil Jordan, Vice President and Principal at BW Research Partnership, said:

"We understand the challenges and limitations of data collection for BLS in the middle of a global pandemic. But any suggestion that a strong employment rebound is underway in the United States simply is not reflected in the clean energy sector right now. And with PPP expiring, that only increases uncertainty in the months ahead."

The report comes as both the Senate Committee on Energy and Natural Resources and the House Energy and Commerce Committee are considering clean energy stimulus to restart the U.S. economy, and amid assessments of mixed results from the climate law shaping expectations, and as lawmakers in both the House and Senate are increasing calls for supporting clean energy workers and businesses, including this bicameral letter signed by 57 members of Congress and another signed today by 180 House members.

Industries Hit Hardest

According to the analysis, energy efficiency lost more jobs than any other clean energy sector for the third consecutive month in May, shedding about 18,900 jobs. These workers include electricians, HVAC technicians who work with high-efficiency systems, and manufacturing employees who make Energy Star appliances, LED lighting systems and efficient building materials.

Renewable energy, including solar and wind, lost nearly 4,300 jobs in May.

Clean grid and storage and clean vehicles manufacturing -- including grid modernization, energy storage, car charging and electric and plug-in hybrid vehicle manufacturing -- lost a combined 3,200 jobs in May, as energy crisis impacts electricity, gas, and EVs in several ways.

The clean fuels sector lost more than 650 jobs in May.

States and Localities Hit Across Country

California continues to be the hardest hit state in terms of total job losses, losing 4,313 jobs in May and more than 109,700 since the COVID-19 crisis began. Florida was the second hardest hit state in May, losing an additional 2,563 clean energy jobs, while Georgia, Texas, Washington, and Michigan all suffered more than 1,000 job losses across the sector. An additional 12 states saw at least 500 clean energy unemployment filings, and reports like Pennsylvania's clean energy jobs analysis provide added context, according to the latest analysis.

For a full breakdown of clean energy job losses in each state, along with a list of the hardest hit counties and metro areas, see the full analysis here.

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Nevada Renewable Portfolio Standard 2030 targets 50% clean energy, advancing solar, geothermal, and wind, cutting GHG emissions, phasing out coal, and expanding storage, EV infrastructure, and in-state renewables under PUCN oversight and tax abatements.

Key Points

A state mandate requiring 50% of electricity from renewables by 2030, driving solar, geothermal, wind, and storage.

✅ 50% clean power by 2030; 100% carbon-free target by 2050

✅ Growth in solar, geothermal, wind; coal phase-out; natural gas remains

✅ RETA incentives spur 6.1 GW capacity, jobs, and in-state investment

Nevada is on track to meet its Renewable Portfolio Standard of 50% of electricity generated by renewable energy sources by 2030, according to the Governor's Office of Energy's annual Status of Energy Report.

Based on compliance reports the Public Utilities Commission of Nevada has received, across all providers, about 20% of power is currently generated by renewable resources, and, nationally, renewables ranked second in 2020 as filings show Nevada's investor-owned utility and other power providers have plans to reach the state's ambitious RPS of 50% by 2030, according to the report released Jan. 28.

"Because transportation and electricity generation are Nevada's two largest contributors to greenhouse gas emissions, GOE's program work in 2021 underscored our focus on transportation electrification and reaching the state's legislatively required renewable portfolio standard," GOE Director David Bobzien said in a statement Jan. 28. "While electricity generated from renewable resources currently accounts for about 25% of the state's electricity, a share similar to projections that renewables will soon provide about one-fourth of U.S. electricity overall, we continue to collaborate with the Public Utilities Commission of Nevada, electricity providers, the renewable energy industry and conservation organizations to ensure Nevada reaches our target of 50% clean energy by 2030."

The state's RPS, enacted in 1997 and last modified in 2019, requires an increase in renewable energy, starting with 22% in 2020 and increasing to 50% by 2030. The increase in renewables will reduce GHG emissions and help the state reach its goal of 100% carbon-free power by 2050, while states like Rhode Island have a 100% by 2030 plan, highlighting varying timelines.

Renewable additions
The state added 1.332 GW of renewable capacity in 2021 as part of the Renewable Energy Tax Abatement program, at a time when U.S. renewable energy hit a record 28% in April, for a total renewable capacity of 6.117 GW, according to the report.

The RETA program awards partial sales and use tax and partial property-tax abatements to eligible renewable energy facilities, which increase Nevada's tax revenue and create jobs in a growing industry. Eligible projects must employ at least 50% Nevada workers, pay 175% of Nevada's average wage during construction, and offer health care benefits to workers and their dependents.

Since its adoption in 2010, the GOE has approved 60 projects, including large-scale solar PV, solar thermal, biomass, geothermal and wind projects throughout the state, according to the report. Projects granted abatements in 2021 include:

• 100-MW Citadel Solar Project
• 150-MW Dry Lake Solar + Storage Project
• 714-MW Gemini Solar Project
• 55-MW North Valley Power Geothermal Project
• 113-MW Boulder Flats Solar Project
• 200-MW Arrow Canyon Solar Project

"Nevada does not produce fossil fuels of any significant amount, and gasoline, jet fuel and natural gas for electricity or direct use must be imported," according to the report. "Transitioning to domestically produced renewable resources and electrified transportation can provide cost savings to Nevada residents and businesses, as seen in Idaho's largely renewable mix today, while reducing GHG emissions. About 86% of the fuel for energy that Nevada consumes comes from outside the state."

Phasing out coal plants
Currently, more than two-thirds of the state's electricity is produced by natural gas-fired power plants, with renewables covering most of the remaining generation, according to the report. Nevada continues to phase out its remaining coal power plants, as renewables surpassed coal nationwide in 2022, which provide less than 10% of produced electricity.

"Nevada has seen a significant increase in capturing its abundant renewable energy resources such as solar and geothermal," according to the report. "Renewable energy production continues to grow, powering Nevada homes and business and serves to diversify the state's economy by exporting solar and geothermal to neighboring states, as California neared 100% renewable electricity for the first time. Nevada has more than tripled its renewable energy production since 2011."

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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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