China kicks nuclear builds into high gear

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"It's expected that China will begin construction on six new nuclear power units in 2010," said Tian Jiashu, the director of the Nuclear and Radiation Safety Center for the Ministry of Environmental Protection, in a recent interview.

The six units have a total planned capacity of about 5,300 megawatts and are in Ningde, Fujian province Changjiang, Hainan province and Fangchenggang, Guangxi region.

So far, China has 11 nuclear power units in operation, with an installed capacity of 9.08 gigawatts GW, and 25 nuclear power units under construction, with an installed capacity of 15.1 GW. In addition, there are 18 units with an installed capacity of about 20.4 GW awaiting approval, including projects in places such as Tianwan, Jiangsu province Sanmen, Zhejiang province Haiyang, Shandong province Taohuajiang, Hunan province Xianning, Hubei province and Nanyang, Henan province.

The boom in nuclear power construction has moved far beyond original plans. So far, the total number of nuclear power units in operation, under construction and under planning has reached 60, and the installed capacity of these units has reached about 60 GW, which is 50 higher than the installed capacity planned for 2020 in the Middle and Long-term Development Plan for Nuclear Power 2005-20, which was issued in 2007.

"For this reason, China is working on the adjustment of the Middle and Long-term Development Plan for Nuclear Power," Tain said. In the next 10 years, China will begin construction of 8-GW nuclear power units every year, on average. It's expected that China's installed capacity of nuclear power will surpass 75 GW in operation, with more than 40 GW of units under construction in 2020.

Although the cost of nuclear power generation in China is higher than that of thermal power, if the localization rate of nuclear power reaches 70, the cost of nuclear power generation will be reduced to about $31 per megawatt-hour. "Following the increasing in localization rate and the expansion in scale, the cost of nuclear power will be largely reduced," Tian predicted.

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Washington State Ferries' Hybrid-Electric Upgrade

Washington State Hybrid-Electric Ferries advance green maritime transit with battery-diesel propulsion, lower emissions, and fleet modernization, integrating charging infrastructure and reliable operations across WSF routes to meet climate goals and reduce fuel consumption.

 

Key Points

New WSF vessels using diesel-battery propulsion to cut emissions, improve efficiency, and sustain reliable ferry service.

✅ Hybrid diesel-battery propulsion reduces fuel use and CO2

✅ Larger vessels with efficient batteries and charging upgrades

✅ Compatible with WSF docks, maintenance, and safety standards

 

Washington State is embarking on an ambitious update to its ferry fleet, introducing hybrid-electric boats that represent a significant leap toward greener and more sustainable transportation. The state’s updated plans reflect a commitment to reducing carbon emissions and enhancing environmental stewardship while maintaining the efficiency and reliability of its vital ferry services.

The Washington State Ferries (WSF) system, one of the largest in the world, has long been a critical component of the state’s transportation network, linking various islands and coastal communities with the mainland. Traditionally powered by diesel engines, the ferries are responsible for significant greenhouse gas emissions. In response to growing environmental concerns and legislative pressure, WSF is now turning to hybrid-electric technology similar to battery-electric high-speed ferries seen elsewhere to modernize its fleet and reduce its carbon footprint.

The updated plans for the hybrid-electric boats build on earlier efforts to introduce cleaner technologies into the ferry system. The new designs incorporate advanced hybrid-electric propulsion systems that combine traditional diesel engines with electric batteries. This hybrid approach allows the ferries to operate on electric power during certain segments of their routes, reducing reliance on diesel fuel and cutting emissions as electric ships on the B.C. coast have demonstrated during similar operations.

One of the key features of the updated plans is the inclusion of larger and more capable hybrid-electric ferries, echoing BC Ferries hybrid ships now entering service in the region. These vessels are designed to handle the demanding operational requirements of the Washington State Ferries system while significantly reducing environmental impact. The new boats will be equipped with state-of-the-art battery systems that can store and utilize electric power more efficiently, leading to improved fuel economy and lower overall emissions.

The transition to hybrid-electric ferries is driven by both environmental and economic considerations. On the environmental side, the move aligns with Washington State’s broader goals to combat climate change and reduce greenhouse gas emissions, including programs like electric vehicle rebate program that encourage cleaner travel across the state. The state has set ambitious targets for reducing carbon emissions across various sectors, and upgrading the ferry fleet is a crucial component of achieving these goals.

From an economic perspective, hybrid-electric ferries offer the potential for long-term cost savings. Although the initial investment in new technology can be substantial, with financing models like CIB support for B.C. electric ferries helping spur adoption and reduce barriers for agencies, the reduced fuel consumption and lower maintenance costs associated with hybrid-electric systems are expected to lead to significant savings over the lifespan of the vessels. Additionally, the introduction of greener technology aligns with public expectations for more sustainable transportation options.

The updated plans also emphasize the importance of integrating hybrid-electric technology with existing infrastructure. Washington State Ferries is working to ensure that the new vessels are compatible with current docking facilities and maintenance practices. This involves updating docking systems, as seen with Kootenay Lake electric-ready ferry preparations, to accommodate the specific needs of hybrid-electric ferries and training personnel to handle the new technology.

Public response to the hybrid-electric ferry initiative has been largely positive, with many residents and environmental advocates expressing support for the move towards greener transportation. The new boats are seen as a tangible step toward reducing the environmental impact of one of the state’s most iconic transportation services. The project also highlights Washington State’s commitment to innovation and leadership in sustainable transportation, alongside global examples like Berlin's electric flying ferry that push the envelope in maritime transit.

However, the transition to hybrid-electric ferries is not without its challenges. Implementing new technology requires careful planning and coordination, including addressing potential technical issues and ensuring that the vessels meet all safety and operational standards. Additionally, there may be logistical challenges associated with integrating the new ferries into the existing fleet and managing the transition without disrupting service.

Despite these challenges, the updated plans for hybrid-electric boats represent a significant advancement in Washington State’s efforts to modernize its transportation system. The initiative reflects a growing trend among transportation agencies to embrace sustainable technologies and address the environmental impact of traditional transportation methods.

In summary, Washington State’s updated plans for hybrid-electric ferries mark a crucial step towards a more sustainable and environmentally friendly transportation network. By incorporating advanced hybrid-electric technology, the state aims to reduce carbon emissions, improve fuel efficiency, and align with its broader climate goals. While challenges remain, the initiative demonstrates a commitment to innovation and underscores the importance of transitioning to greener technologies in the quest for a more sustainable future.

 

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Tube Strikes Disrupt London Economy

London Tube Strikes Economic Impact highlights transport disruption reducing foot traffic, commuter flows, and tourism, squeezing small businesses, hospitality revenue, and citywide growth while business leaders urge negotiations, resolution, and policy responses to stabilize operations.

 

Key Points

Reduced transport options cut foot traffic and sales, straining small businesses and slowing London-wide growth.

✅ Hospitality venues report lower revenue and temporary closures

✅ Commuter and tourism declines reduce daily sales and bookings

✅ Business groups urge swift negotiations to restore services

 

London's economy is facing significant challenges due to ongoing tube strikes, challenges that are compounded by scrutiny of UK energy network profits and broader cost pressures across sectors, with businesses across the city experiencing disruptions that are impacting their operations and bottom lines.

Impact on Small Businesses

Small businesses, particularly those in the hospitality sector, are bearing the brunt of the disruptions caused by the strikes. Many establishments rely on the steady flow of commuters and tourists that the tube system facilitates, while also hoping for measures like temporary electricity bill relief that can ease operating costs during downturns. With reduced transportation options, foot traffic has dwindled, leading to decreased sales and, in some cases, temporary closures.

Economic Consequences

The strikes are not only affecting individual businesses but are also having a ripple effect on the broader economy, a dynamic seen when commercial electricity consumption plummeted in B.C. during the pandemic. The reduced activity in key sectors is contributing to a slowdown in economic growth, echoing periods when BC Hydro demand fell 10% and prompting policy responses such as Ontario electricity rate reductions for businesses, with potential long-term consequences if the disruptions continue.

Calls for Resolution

Business leaders and industry groups are urging for a swift resolution to the strikes. They emphasize the need for dialogue between the involved parties to reach an agreement that minimizes further economic damage and restores normalcy to the city's transportation system.

The ongoing tube strikes in London are causing significant disruptions to the city's economy, particularly affecting small businesses that depend on the efficient movement of people. Immediate action is needed to address the issues, drawing on tools like a subsidized hydro plan used elsewhere to spur recovery, to prevent further economic downturn.

 

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Electricity in Spain is 682.65% more expensive than the same day in 2020

Spain Electricity Prices surge to record highs as the wholesale market hits €339.84/MWh, driven by gas costs and CO2 permits, impacting PVPC regulated tariffs, free-market contracts, and household energy bills, OMIE data show.

 

Key Points

Rates in Spain's wholesale market that shape PVPC tariffs and free-market bills, moving with gas prices and CO2 costs.

✅ Record €339.84/MWh; peak 20:00-21:00; low 04:00-05:00 (OMIE).

✅ PVPC users and free-market contracts face higher bills.

✅ Drivers: high gas prices and rising CO2 emission rights.

 

Electricity in Spain's wholesale market will rise in price once more as European electricity prices continue to surge. Once again, it will set a historical record in Spain, reaching €339.84/MWh. With this figure, it is already the fifth time that the threshold of €300 has been exceeded.

This new high is a 6.32 per cent increase on today’s average price of €319.63/MWh, which is also a historic record, while Germany's power prices nearly doubled over the past year. Monday’s energy price will make it 682.65 per cent higher than the corresponding date in 2020, when the average was €43.42.

According to data published by the Iberian Energy Market Operator (OMIE), Monday’s maximum will be between the hours of 8pm and 9pm, reaching €375/MWh, a pattern echoed by markets where Electric Ireland price hikes reflect wholesale volatility. The cheapest will be from 4am to 5am, at €267.99.

The prices of the ‘pool’ have a direct effect on the regulated tariff  – PVPC – to which almost 11 million consumers in the country are connected, and serve as a reference for the other 17 million who have contracted their supply in the free market, where rolling back prices is proving difficult across Europe.

These spiraling prices in recent months, which have fueled EU energy inflation, are being blamed on high gas prices in the markets, and carbon dioxide (CO2) emission rights, both of which reached record highs this year.

According to an analysis by Facua-Consumidores en Acción, if the same rates were maintained for the rest of the month, the last invoice of the year would reach €134.45 for the average user. That would be 94.1 per cent above the €69.28 for December 2020, while U.S. residential electricity bills rose about 5% in 2022 after inflation adjustments.

The average user’s bill so far this year has increased by 15.1 per cent compared to 2018, as US electricity prices posted their largest jump in 41 years. Thus, compared to the €77.18 of three years ago, the average monthly bill now reaches €90.87 euros. However, the Government continues to insist that this year households will end up paying the same as in 2018.

As Ruben Sanchez, the general secretary of Facua commented, “The electricity bill for December would have to be negative for President Sanchez, and Minister Ribera, to fulfill their promise that this year consumers will pay the same as in 2018 once the CPI has been discounted”.

 

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Integrating AI Data Centers into Canada's Electricity Grids

Canada AI Data Center Grid Integration aligns AI demand with renewable energy, energy storage, and grid reliability. It emphasizes transmission upgrades, liquid cooling efficiency, and policy incentives to balance economic growth with sustainable power.

 

Key Points

Linking AI data centers to Canada's grid with renewables, storage, and efficiency to ensure reliable, sustainable power.

✅ Diversify supply with wind, solar, hydro, and firm low-carbon resources

✅ Deploy grid-scale batteries to balance peaks and enhance reliability

✅ Upgrade transmission, distribution, and adopt liquid cooling efficiency

 

Artificial intelligence (AI) is revolutionizing various sectors, driving demand for data centers that support AI applications. In Canada, this surge in data center development presents both economic opportunities and challenges for the electricity grid, where utilities using AI to adapt to evolving demand dynamics. Integrating AI-focused data centers into Canada's electricity infrastructure requires strategic planning to balance economic growth with sustainable energy practices.​

Economic and Technological Incentives

Canada has been at the forefront of AI research for over three decades, establishing itself as a global leader in the field. The federal government has invested significantly in AI initiatives, with over $2 billion allocated in 2024 to maintain Canada's competitive edge and to align with a net-zero grid by 2050 target nationwide. Provincial governments are also actively courting data center investments, recognizing the economic and technological benefits these facilities bring. Data centers not only create jobs and stimulate local economies but also enhance technological infrastructure, supporting advancements in AI and related fields.​

Challenges to the Electricity Grid

However, the energy demands of AI data centers pose significant challenges to Canada's electricity grid, mirroring the power challenge for utilities seen in the U.S., as demand rises. The North American Electric Reliability Corporation (NERC) has raised concerns about the growing electricity consumption driven by AI, noting that the current power generation capacity may struggle to meet this increasing demand, while grids are increasingly exposed to harsh weather conditions that threaten reliability as well. This situation could lead to reliability issues, including potential blackouts during peak demand periods, jeopardizing both economic activities and the progress of AI initiatives.​

Strategic Integration Approaches

To effectively integrate AI data centers into Canada's electricity grids, a multifaceted approach is essential:

  1. Diversifying Energy Sources: Relying solely on traditional energy sources may not suffice to meet the heightened demands of AI data centers. Incorporating renewable energy sources, such as wind, solar, and hydroelectric power, can provide sustainable alternatives. For instance, Alberta has emerged as a proactive player in supporting AI-enabled data centers, with the TransAlta data centre agreement expected to advance this momentum, leveraging its renewable energy potential to attract such investments.
     

  2. Implementing Energy Storage Solutions: Integrating large-scale battery storage systems can help manage the intermittent nature of renewable energy. These systems store excess energy generated during low-demand periods, releasing it during peak times to stabilize the grid. In some communities, AI-driven grid upgrades complement storage deployments to optimize operations, which supports data center needs and community reliability.
     

  3. Enhancing Grid Infrastructure: Upgrading transmission and distribution networks is crucial to handle the increased load from AI data centers. Strategic investments in grid infrastructure can prevent bottlenecks and ensure efficient energy delivery, including exploration of macrogrids in Canada to improve regional transfers, supporting both existing and new data center operations.​
     

  4. Adopting Energy-Efficient Data Center Designs: Designing data centers with energy efficiency in mind can significantly reduce their power consumption. Innovations such as liquid cooling systems are being explored to manage the heat generated by high-density AI workloads, offering more efficient alternatives to traditional air cooling methods.

  5. Establishing Collaborative Policies: Collaboration among government entities, utility providers, and data center operators is vital to align energy policies with technological advancements. Developing regulatory frameworks that incentivize sustainable practices can guide the growth of AI data centers in harmony with grid capabilities.​
     

Integrating AI data centers into Canada's electricity grids presents both significant opportunities and challenges. By adopting a comprehensive strategy that includes diversifying energy sources, implementing advanced energy storage, enhancing grid infrastructure, promoting energy-efficient designs, and fostering collaborative policies, Canada can harness the benefits of AI while ensuring a reliable and sustainable energy future. This balanced approach will position Canada as a leader in both AI innovation and sustainable energy practices.

 

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Is tidal energy the surge remote coastal communities need?

BC Tidal Energy Micro-Grids harness predictable tidal currents to replace diesel in remote Indigenous coastal communities, integrating marine renewables, storage, and demand management for resilient off-grid power along Vancouver Island and Haida Gwaii.

 

Key Points

Community-run tidal turbines and storage deliver reliable, diesel-free electricity to remote B.C. coastal communities.

✅ Predictable power from tidal currents reduces diesel dependence

✅ Integrates storage, demand management, and microgrid controls

✅ Local jobs via marine supply chains and community ownership

 

Many remote West Coast communities are reliant on diesel for electricity generation, which poses a number of negative economic and environmental effects.

But some sites along B.C.’s extensive coastline are ideal for tidal energy micro-grids that may well be the answer for off-grid communities to generate clean power, suggested experts at a COAST (Centre for Ocean Applied Sustainable Technologies) virtual event Wednesday.

There are 40 isolated coastal communities, many Indigenous communities, and 32 of them are primarily reliant on diesel for electricity generation, said Ben Whitby, program manager at PRIMED, a marine renewable energy research lab at the University of Victoria (UVic).

Besides being a costly and unreliable source of energy, there are environmental and community health considerations associated with shipping diesel to remote communities and running generators, Whitby said.

“It's not purely an economic question,” he said.

“You've got the emissions associated with diesel generation. There's also the risks of transporting diesel … and sometimes in a lot of remote communities on Vancouver Island, when deliveries of diesel don't come through, they end up with no power for three or four days at a time.”

The Heiltsuk First Nation, which suffered a 110,000-litre diesel spill in its territorial waters in 2016, is an unfortunate case study for the potential environmental, social, and cultural risks remote coastal communities face from the transport of fossil fuels along the rough shoreline.

A U.S. barge hauling fuel for coastal communities in Alaska ran aground in Gale Pass, fouling a sacred and primary Heiltsuk food-harvesting area.

There are a number of potential tidal energy sites near off-grid communities along the mainland, on both sides of Vancouver Island, and in the Haida Gwaii region, Whitby said.

Tidal energy exploits the natural ebb and flow of the coast’s tidal water using technologies like underwater kite turbines to capture currents, and is a highly predictable source of renewable energy, he said.

Micro-grids are self-reliant energy systems drawing on renewables from ocean, wave power resources, wind, solar, small hydro, and geothermal sources.

The community, rather than a public utility like BC Hydro, is responsible for demand management, storage, and generation with the power systems running independently or alongside backup fuel generators — offering the operators a measure of energy sovereignty.

Depending on proximity, cost, and renewable solutions, tidal energy isn’t necessarily the solution for every community, Whitby noted, adding that in comparison to hydro, tidal energy is still more expensive.

However, the best candidates for tidal energy are small, off-grid communities largely dependent on costly fossil fuels, Whitby said.

“That's really why the focus in B.C. is at a smaller scale,” he said.

“The time it would take (these communities) to recoup any capital investment is a lot shorter.

“And the cost is actually on a par because they're already paying a significant amount of money for that diesel-generated power.”

Lisa Kalynchuk, vice-president of research and innovation at UVic, said she was excited by the possibilities associated with tidal power, not only in B.C., but for all of Canada’s coasts.

“Canada has approximately 40,000 megawatts available on our three coastlines,” Kalynchuk said.

“Of course, not all this power can be realized, but it does exist, so that leads us to the hard part — tapping into this available energy and delivering it to those remote communities that need it.”

Challenges to establishing tidal power include the added cost and complexity of construction in remote communities, the storage of intermittent power for later use, the economic model, though B.C.’s streamlined regulatory process may ease approvals, the costs associated with tidal power installations, and financing for small communities, she said.

But smaller tidal energy projects can potentially set a track record for more nascent marine renewables, as groups like Marine Renewables Canada pivot to offshore wind development, at a lower cost and without facing the same social or regulatory resistance a large-scale project might face.

A successful tidal energy demo project was set up using a MAVI tidal turbine in Blind Channel to power a private resort on West Thurlow Island, part of the outer Discovery Islands chain wedged between Vancouver Island and the mainland, Whitby said.

The channel’s strong tidal currents, which routinely reach six knots and are close to the marina, proved a good site to test the small-scale turbine and associated micro-grid system that could be replicated to power remote communities, he said.

The mooring system, cable, and turbine were installed fairly rapidly and ran through the summer of 2017. The system is no longer active as provincial and federal funding for the project came to an end.

“But as a proof of concept, we think it was very successful,” Whitby said, adding micro-grid tidal power is still in the early stages of development.

Ideally, the project will be revived with new funding, so it can continue to act as a test site for marine renewable energy and to showcase the system to remote coastal communities that might want to consider tidal power, he said.

In addition to harnessing a local, renewable energy source and increasing energy independence, tidal energy micro-grids can fuel employment and new business opportunities, said Whitby.

The Blind Channel project was installed using the local supply chain out of nearby Campbell River, he said.

“Most of the vessels and support came from that area, so it was all really locally sourced.”

Funding from senior levels of government would likely need to be provided to set up a permanent tidal energy demonstration site, with recent tidal energy investments in Nova Scotia offering a model, or to help a community do case studies and finance a project, Whitby said.

Both the federal and provincial governments have established funding streams to transition remote communities away from relying on diesel.

But remote community projects funded federally or provincially to date have focused on more established renewables, such as hydro, solar, biomass, or wind.

The goal of B.C.’s Remote Community Energy Strategy, part of the CleanBC plan and aligned with zero-emissions electricity by 2035 targets across Canada, is to reduce diesel use for electricity 80 per cent by 2030 by targeting 22 of the largest diesel locations in the province, many of which fall along the coast.

The province has announced a number of significant investments to shift Indigenous coastal communities away from diesel-generated electricity, but they predominantly involve solar or hydro projects.

A situation that’s not likely to change, as the funding application guide in 2020 deemed tidal projects as ineligible for cash.

Yet, the potential for establishing tidal energy micro-grids in B.C. is good, Kalynchuk said, noting UVic is a hub for significant research expertise and several local companies, including ocean and river power innovators working in the region, are employing and developing related service technologies to install and maintain the systems.

“It also addresses our growing need to find alternative sources of energy in the face of the current climate crisis,” she said.

“The path forward is complex and layered, but one essential component in combating climate change is a move away from fossil fuels to other sources of energy that are renewable and environmentally friendly.”

 

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How utilities are using AI to adapt to electricity demands

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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