Darlington has edge for new nuclear plant

BC Ferries Island Class hybrid ferries deliver quiet, battery-electric travel with shore power readiness, lower emissions, and larger capacity on northern routes, protecting marine wildlife while replacing older vessels on Powell River and Texada services.

Key Points

Hybrid-electric ferries using batteries and diesel for quiet, low-emission service, ready for shore power upgrades.

✅ Operate 20% electric at launch; future full-electric via shore power

✅ 300 passengers, 47 vehicles; replacing older, smaller vessels

✅ Quieter transits help protect West Coast whales and marine habitat

In a champagne celebration, BC Ferries welcomed two new, hybrid-electric ships into its fleet Wednesday. The ships arrived in Victoria last month, and are expected to be in service on northern routes by the summer.

The Island Aurora and Island Discovery have the ability to run on either diesel or electricity.

"The pressure on whales on the West Coast is very intense right now," said BC Ferries CEO Mark Collins. "Quiet operation is very important. These ships will be gliding out of the harbor quietly and electrically with no engines running, that will be really great for marine space."

BC Ferries says the ships will be running on electricity 20 per cent of the time when they enter service, but the company hopes they can run on electricity full-time in the future. That would require the installation of shoreline power, which the company hopes to have in place in the next five to 10 years. Each ship costs around $40-million, a price tag that the federal government partially subsidized through CIB support as part of the electrification push.

When the two ships begin running on the Powell River to Texada, and Port McNeill, Alert Bay, and Sointula routes, two older vessels will be retired.

On Kootenay Lake, an electric-ready ferry is slated to begin operations in 2023, reflecting the province's wider shift.

"They are replacing a 47-car ferry, but on some routes they will be replacing a 25-car ferry, so those routes will see a considerable increase in service," said Collins.

Although the ships will not be servicing Colwood, the municipality's mayor is hoping that one day, they will.

"We can look at an electric ferry when we look at a West Shore ferry that would move Colwood residents to Victoria," said Mayor Rob Martin, noting that across the province electric school buses are hitting the road as well. "Here is a great example of what BC Ferries can do for us."

BC Ferries says it will be adding four more hybrid ships to its fleet by 2022, and is working on adding hybrid ships that could run from Victoria to Tsawwassen, similar to Washington State Ferries' hybrid upgrade underway in the region. 

B.C’s first hybrid-electric ferries arrived in Victoria on Saturday morning ushering in a new era of travel for BC Ferries passengers, as electric seaplane flights are also on the horizon for the region.

“It’s a really exciting day for us,” said Tessa Humphries, spokesperson for BC Ferries.

It took the ferries 60 days to arrive at the Breakwater District at Ogden Point. They came all the way from Constanta, Romania.

“These are battery-equipped ships that are designed for fully electric operation; they are outfitted with hybrid technology that bridges the gap until the EV charging infrastructure and funding is available in British Columbia,” said Humphries.

The two new "Island Class" vessels arrived at about 9 a.m. to a handful of people eagerly wanting to witness history.

Sometime in the next few days, the transport ship that brought the new ferries to B.C. will go out into the harbor and partially submerge to allow them to be offloaded, Humphries said.

The transfer process could happen in four to five days from now. After the final preparations are finished at the Breakwater District, the ships will be re-commissioned in Point Hope Maritime and then BC Ferries will officially take ownership.

“We know a lot of people are interested in this so we will put out advisory once we have more information as to a viewing area to see the whole process,” said Humphries.

Both Island Class ferries can carry 300 passengers and 47 vehicles. They won’t be sailing until later this year, but Humphries tells CTV News they will be named by the end of February. 

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ADNOC Hydrogen Export Projects target global energy transition, courting investors and equity stakes for blue and green hydrogen, ammonia shipping, CCS at Ruwais, and long-term supply contracts across power, transport, and industrial sectors.

Key Points

ADNOC plans blue and green hydrogen exports, leveraging Ruwais, CCS, and ammonia to secure long-term supply.

✅ Blue hydrogen via gas reforming with CCS; ammonia for shipping.

✅ Green hydrogen from solar-powered electrolysis under development.

✅ Ruwais expansions and Fertiglobe ammonia tie-up target long-term supply.

Abu Dhabi is seeking investors to help build hydrogen-export facilities, as Middle Eastern oil producers plan to adopt cleaner energy solutions, sources told Bloomberg.

Abu Dhabi National Oil Company (ADNOC) is holding talks with energy companies for them to purchase equity stakes in the hydrogen projects, the sources referred, as Germany's hydrogen strategy signals rising import demand.

ADNOC, which already produces hydrogen for its refineries, also aims to enter into long-term supply contracts, as Canada-Germany clean energy cooperation illustrates growing cross-border demand, before making any progress with these investments.

Amid a global push to reduce greenhouse-gas emissions, the state-owned oil companies in the Gulf region seek to turn their expertise in exporting liquid fuel into shipping hydrogen or ammonia across the world for clean and universal electricity needs, transport, and industrial use.

Most of the ADNOC exports are expected to be blue hydrogen, created by converting natural gas and capturing the carbon dioxide by-product that can enable using CO2 to generate electricity approaches, according to Bloomberg.

The sources said that the Abu Dhabi-based company will raise its production of hydrogen by expanding an oil-processing plant and the Borouge petrochemical facility at the Ruwais industrial hub, supporting a sustainable electric planet vision, as the extra hydrogen will be used for an ammonia facility planned with Fertiglobe.

Abu Dhabi also plans to develop green hydrogen, similar to clean hydrogen in Canada initiatives, which is generated from renewable energy such as solar power.

Noteworthy to mention, in May 2021, ADNOC announced that it will construct a world-scale blue ammonia production facility in Ruwais in Abu Dhabi to contribute to the UAE's efforts to create local and international hydrogen value chains.

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Manitoba Hydro Rate Increase sets electricity rates up 2.5% annually for three years via Bill 35, bypassing PUB hearings, citing Crown utility debt and pandemic impacts, with legislature debate and a multi-year regulatory review ahead.

Key Points

A government plan to lift electricity rates 2.5% annually over three years via Bill 35, bypassing PUB hearings.

✅ 2.5% annual hikes for three years set in legislation

✅ Bypasses PUB rate hearings during pandemic recovery

✅ Targets Crown utility debt; multi-year review planned

The Manitoba government is planning to raise electricity rates, with Manitoba Hydro scaling back next year, by 2.5 per cent a year over the next three years.

Finance Minister Scott Fielding says the increases, to be presented in a bill before the legislature, are the lowest in a decade and will help keep rates among the lowest in Canada, even as SaskPower's 8% hike draws scrutiny in a neighbouring province.

Crown-owned Manitoba Hydro had asked for a 3.5 per cent increase this year, similar to BC Hydro's 3% rise, to help pay off billions of dollars in debt.

“The way we figured this out, we looked at the rate increases that were approved by PUB (Public Utilities Board) over the last ten years, (and) we went to 75 per cent of that,” Fielding said during a Thursday morning press conference.

“It’s a pandemic, we know that there’s a lot of people that are unemployed, that are struggling, we know that businesses need to recharge after the business (sic), so this will provide them an appropriate break.”

Electricity rates are normally set by the Public Utilities Board, a regulatory body that holds rate hearings and examines the Crown corporation’s finances.

The Progressive Conservative government has temporarily suspended the regulatory process and has set rates itself, while Ontario rate legislation to lower rates moved forward in its jurisdiction.

Manitoba Liberal leader Dougald Lamont was quick to condemn the move, noting parallels to Ontario price concerns before saying in a news release the PCs “are abusing their power and putting Hydro’s financial future at risk by fixing prices in the hope of buying some political popularity.”

“Hydro’s rates should be set by the PUB after public hearings, not figured out on the back of a napkin in the Premier’s office,” Lamont wrote.

Fielding noted the increase would appear as an amendment to Bill 35, which will appear in the legislature this fall, as BC Hydro plans multi-year increases proceed elsewhere.

“All members of the legislative assembly will vote and debate this rate increase on Bill 35,” Fielding said.

“This will give the PUB time to implement reforms, and allow the utilities to prepare a more rigorous, multi-year review application process.”

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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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UK Energy Network Profits are under scrutiny as Ofgem price controls, Citizens Advice claims, and National Grid margins spark debate over monopolies, allowed returns, consumer bills, rebates, and future investment under tougher regulation.

Key Points

UK Energy Network Profits are returns set by Ofgem for regulated grid operators, shaping consumer bills and investment

✅ Ofgem sets allowed returns for monopoly networks via price controls

✅ Dispute over interest rates, bond yields, and risk premiums

✅ Reforms proposed: shorter controls, tougher investor incentives

Companies that run Britain’s electricity and gas networks, including National Grid, are making “eye-watering” profits at the expense of households, according to a well-known consumer group.

Citizens Advice believes £7.5bn in “unjustified” profits should be returned to consumers who pay for network costs via their electricity and gas bills, with parallels seen in a deferred BC Hydro costs report abroad, although its figures have been contested by the energy industry and regulator.

Ownership of electricity and gas networks came under the spotlight in the run-up to June’s general election, after the Labour party said in its manifesto it would bring both national and regional grid infrastructure to back into public ownership, amid wider debates about grid privatization concerns elsewhere, over time.

Electricity sector privatisation began in 1990 and the gas industry was privatised in 1986. Energy network companies — which own and operate the cables and wires that help deliver electricity and gas to homes and businesses — are in effect monopolies that are regulated by Ofgem. Ofgem evaluates what their costs, including the cost of capital to finance investments, might be over an eight-year “price control” period, similar to determinations like the OEB decision on Hydro One rates in Ontario, Canada. Citizens Advice claims many of the regulator’s calculations for the most recent price control went “considerably in networks’ financial favour”.

It believes assumptions Ofgem made about factors such as the future path of interest rates and returns on government bonds were too generous, with international contrasts like power theft challenges in India illustrating different risk contexts, as was the regulator’s assessment of the risk associated with operating a network company. 

These “generous” assumptions will lead to network companies making average profit margins of 19 per cent and an average return of 10 per cent for their investors at the expense of consumers, Citizens Advice claims in a report published on Wednesday, which recommends a shorter price control period to allow for more accurate forecasting.

“Decisions made by Ofgem have allowed gas and electricity network companies to make sky-high profits that we’ve found are not justified by their performance,” said Gillian Guy, chief executive of Citizens Advice. Ofgem defended its regulatory regime, saying it helped to cut costs, improve reliability and customer satisfaction. 

“Ofgem has already cut costs to consumers by 6 per cent in the current price control and secured a rebate of over £4.5bn from network companies and is engaging with the industry to deliver further savings, with some regions seeing Ontario electricity rate reductions for businesses as well,” said Dermot Nolan, chief executive of the energy regulator.

Mr Nolan insisted the next price controls would be “tougher for investors”. The current price controls for the gas and electricity transmission networks, plus gas distribution, run until 2021 and until 2023 for local electricity distribution networks.

“While we don’t agree with its modelling and the figures it has produced, the Citizens Advice report raises some important issues about network regulation which will be addressed in the next control,” Mr Nolan said.

The Energy Networks Association, a trade body, refuted the claims of Citizens Advice, insisting that costs had fallen by 17 per cent in real terms since privatisation. The current regulatory framework was established after a public consultation, it said, adding that today’s report repeated several old claims that had previously been rejected by the Competition and Markets Authority.

“Our energy networks are among the most reliable and lowest cost in the world and their performance has never been better. In the next six years energy network companies are forecasted to deliver £45bn of investment in the UK economy,” a spokesman for the networks association added. National Grid said that since 2013 it had generated savings of £460m for bill payers.

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Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

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