Search for green power on and off the grid

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When David Bell turned a dilapidated 1880s townhouse into an office for his architectural firm, he took the opportunity to display environmentally friendly technologies, like a touchless faucet.

"It has a little turbine inside: The flow of water regenerates power to the battery itself. It's a little hydroelectric plant right here," Bell says.

And when an entrepreneur offered Bell a chance to buy clean electricity for his office — and save money on power — he saw it as another chance to practice what he preaches.

"This allows us to have 100 percent wind power energy, which is good for the environment, and allows us to reduce our costs, which is good for our bottom line," Bell says.

Hundreds of utilities around the country — and a growing number of companies — are offering customers a chance to buy green power. These programs are especially popular with businesses, which use them to promote their environmental consciousness.

Packaging for all kinds of products now includes claims that producers use renewable power. But where does the power come from?

Bell didn't know, but Gary Skulnik, who sells electricity to Bell, did.

"It's a combination of electricity from the local grid combined with renewable energy credits from wind farms," says Skulnik, president of Clean Currents.

In Bell's local grid, the electrons still come primarily from coal-fired power plants. Clean Currents buys that power for less than what the local utilities charge, then combines it with what's called renewable energy credits or certificates, and sells it to Bell.

Renewable energy certificates give customers the right to claim the environmental benefits of the clean power, even if it's used 2,000 miles away. Skulnik gets his certificates from wind farms in Texas and Oklahoma.

"It's like taking a glass of water and adding green food coloring to it," says Skulnik, who has about 4,400 residential and business customers. "You're greening up the power."

But is it really clean electricity?

"Well it's termed green power," says Skulnik, who is also a former Greenpeace activist. "It doesn't mean the actual electrons are coming from a wind farm thousands of miles directly to this particular business."

It may sound dubious, but the Environmental Protection Agency promotes these programs as ways to buy renewable electricity and fight global warming.

"We get a constant stream of calls asking, 'I've read about climate change, what can I do?' And green power is really one of the tremendous and compelling opportunities that's available to everybody," says Blaine Collison, who directs an EPA program that encourages companies to buy green power.

So far, roughly a million companies and residents have signed up. A few utilities offer customers electricity that is actually generated by nearby wind farms or other renewable sources. But most just charge a small premium for renewable energy certificates.

Collison says this voluntary market has created a major incentive for building new renewable power.

"The collective purchases from all the consumers and other businesses participating in this market absolutely drive new supply," he says.

Princeton University researcher Michael Gillenwater says these programs do not cut nearly as much greenhouse gas emissions — or displace as much dirty power — as most customers expect.

"You would think that the total amount of investment they're making is all going to build new wind turbines that would not have been there anyway. And that's not true. They're probably causing a little bit of new generation and new investment," Gillenwater says.

For instance, he says, if a customers buys 10 megawatt hours of renewable energy certificates, he might have caused one extra megawatt hour to be generated from a new wind turbine. But the other nine megawatts would have been produced anyway because of government tax incentives.

"So really, what you're doing is you're subsidizing green power," Gillenwater says.

That's not good enough for David Wright, a member of the commission that advises the Ann Arbor, Mich., city government on energy issues.

Ann Arbor wants to buy wind power. But there is only one utility that services the area, and it will only sell coal and nuclear power combined with renewable energy certificates.

"A certificate is not a renewable energy purchase. For the utility and for others to make those claims, I think it's highly misleading," Wright ways. "I'm quite frustrated with the current situation."

Wright complains that when you buy certificates, you don't get the same protection from unpredictable fossil fuel prices that you can get if you buy renewable power.

"If we were able to buy electricity that's generated from renewable resources like a wind turbine, we would be able to know over a long time what our costs are — and they would most likely be fixed," he says.

Wright raised his concerns with the Federal Trade Commission, which is investigating green power claims.

But so far, the efforts of Wright and Gillenwater to expose the shortcomings of renewable energy certificates are a lot like tilting at windmills.

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$1 billion per year is being spent to support climate change denial

Climate Change Consensus and Disinformation highlights the 97% peer-reviewed agreement on human-caused warming, IPCC warnings, and how fossil fuel lobbying, misinformation, and astroturf tactics echo tobacco denial to mislead media and voters.

 

Key Points

Explains the 97% scientific consensus and the disinformation that obscures IPCC findings and misleads the public.

✅ 97% peer-reviewed consensus on human-caused climate change

✅ Fossil fuel funding drives denial and media misinformation

✅ IPCC and major scientific bodies confirm severe impacts

 

Orson Johnson says there is no scientific consensus on climate change. He’s wrong. A 2015 study by Drexel University’s Robert Brulle found that nearly $1 billion per year is being spent to support climate change denial. Electric utilities, fossil fuel and transportation sectors outspent environmental and renewable energy sectors by more than 10-to-1, undermining efforts to achieve net-zero electricity emissions globally. It is virtually the same strategy that tobacco companies used to deny the dangers of tobacco smoke, spending hundreds of millions of dollars to delay recognition of harm from tobacco smoke for decades, and today Trump's oil policies can similarly influence Wall Street's energy strategy. These are the same debunked sources Johnson quotes in his commentary.

The authors of six independent peer-reviewed papers on the consensus for human-caused climate change examined “the available studies and conclude that the finding of 97% consensus in published climate research is robust and consistent with other surveys of climate scientists and peer-reviewed studies,” according to an abstract in Environmental Research Letters, and public support for action is strong, with most Americans willing to contribute financially to climate solutions. Of the 30,000 scientists (people with a bachelor’s degree or higher in science) Johnson cites, only 39 specialized in climate science.

A new study by the U.N. Intergovernmental Panel on Climate Change draws on momentum from the Katowice climate summit to warn that “The consequences for nature and humanity are sweeping and severe.”

California’s Office of Planning and Research says: “Every major scientific organization in the United States with relevant expertise has confirmed the IPCC’s conclusion, including the National Academy of Sciences, the American Meteorological Society, the American Geophysical Union, and the American Association for the Advancement of Science. The list of international scientific organizations affirming the worldwide consensus on climate change is even longer.”

Former President Obama argued that decarbonization is irreversible as the clean-energy transition accelerates.

This issue is a symptom of an even larger problem. Recently, Facebook announced it would continue to allow political ads that contain obvious lies. America’s corporate news media has been following the same policy for years. Printing stories and commentary with information that is clearly not true or where data has been cherry-picked to strongly imply a lie, such as claims that Ottawa is making electricity more expensive for Albertans, sets up a false equivalence fallacy in which two incompatible arguments appear to be logically equivalent when, in fact, they are not.

Conservatives focus exclusively on progressive income taxes to argue that rich people pay a disproportionate share of taxes while ignoring that they take a disproportionate share of income, and federal income taxes account for less than half of taxes collected, with almost all of the other taxes being heavily regressive. Critics of single-payer healthcare disregard that almost every other developed country on earth has been using single-payer for decades to provide better care with universal coverage at roughly half the cost. Other examples abound, including recent policy milestones like the historic U.S. climate deal that nevertheless become targets of misinformation. We live in a society where truth is no longer truth, reality is supplanted by alternative facts and where crippling polarization is driven by the inability to agree on basic facts.

 

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Ontario's electricity operator kept quiet about phantom demand that cost customers millions

IESO Fictitious Demand Error inflated HOEP in the Ontario electricity market, after embedded generation was mis-modeled; the OEB says double-counted load lifted wholesale prices and shifted costs via the Global Adjustment.

 

Key Points

An IESO modeling flaw that double-counted load, inflating HOEP and charges in Ontario's wholesale market.

✅ Double-counted unmetered load from embedded generation

✅ Inflated HOEP; shifted costs via Global Adjustment

✅ OEB flagged transparency; exporters paid more

 

For almost a year, the operator of Ontario’s electricity system erroneously counted enough phantom demand to power a small city, causing prices to spike and hundreds of millions of dollars in extra charges to consumers, according to the provincial energy regulator.

The Independent Electricity System Operator (IESO) also failed to tell anyone about the error once it noticed and fixed it.

The error likely added between $450 million and $560 million to hourly rates and other charges before it was fixed in April 2017, according to a report released this month by the Ontario Energy Board’s Market Surveillance Panel.

It did this by adding as much as 220 MW of “fictitious demand” to the market starting in May 2016, when the IESO started paying consumers who reduced their demand for power during peak periods. This involved the integration of small-scale embedded generation (largely made up of solar) into its wholesale model for the first time.

The mistake assumed maximum consumption at such sites without meters, and double-counted that consumption.

The OEB said the mistake particularly hurt exporters and some end-users, who did not benefit from a related reduction of a global adjustment rate applicable to other customers.

“The most direct impact of the increase in HOEP (Hourly Ontario Energy Price) was felt by Ontario consumers and exporters of electricity, who paid an artificially high HOEP, to the benefit of generators and importers,” the OEB said.

The mix-up did not result in an equivalent increase in total system costs, because changes to the HOEP are offset by inverse changes to a electricity cost allocation mechanism such as the Global Adjustment rate, the OEB noted.


A chart from the OEB's report shows the time of day when fictitious demand was added to the system, and its influence on hourly rates.

Peak time spikes
The OEB said that the fictitious demand “regularly inflated” the hourly price of energy and other costs calculated as a direct function of it.

For almost a year, Ontario's electricity system operator @IESO_Tweets erroneously counted enough phantom demand to power a small city, causing price spikes and hundreds of millions in charges to consumers, @OntEnergyBoard says. @5thEstate reports.

It estimated the average increase to the HOEP was as much as $4.50/MWh, but that price spikes, compounded by scheduled OEB rate changes, would have been much higher during busier times, such as the mid-morning and early evening.

“In times of tight supply, the addition of fictitious demand often had a dramatic inflationary impact on the HOEP,” the report said.

That meant on one summer evening in 2016 the hourly rate jumped to $1,619/MWh, it said, which was the fourth highest in the history of the Ontario wholesale electricity market.

“Additional demand is met by scheduling increasingly expensive supply, thus increasing the market price. In instances where supply is tight and the supply stack is steep, small increases in demand can cause significant increases in the market price.

The OEB questioned why, as of September this year, the IESO had failed to notify its customers or the broader public, amid a broader auditor-regulator dispute that drew political attention, about the mistake and its effect on prices.

“It's time for greater transparency on where electricity costs are really coming from,” said Sarah Buchanan, clean energy program manager at Environmental Defence.

“Ontario will be making big decisions in the coming years about whether to keep our electricity grid clean, or burn more fossil fuels to keep the lights on,” she added. “These decisions need to be informed by the best possible evidence, and that can't happen if critical information is hidden.”

In a response to the OEB report on Monday, the IESO said its own initial analysis found that the error likely pushed wholesale electricity payments up by $225 million. That calculation assumed that the higher prices would have changed consumer behaviour, while upcoming electricity auctions were cited as a way to lower costs, it said.

In response to questions, a spokesperson said residential and small commercial consumers would have saved $11 million in electricity costs over the 11-month period, even as a typical bill increase loomed province-wide, while larger consumers would have paid an extra $14 million.

That is because residential and small commercial customers pay some costs via time-of-use rates, including a temporary recovery rate framework, the IESO said, while larger customers pay them in a way that reflects their share of overall electricity use during the five highest demand hours of the year.

The IESO said it could not compensate those that had paid too much, given the complexity of the system, and that the modelling error did not have a significant impact on ratepayers.

While acknowledging the effects of the mistake would vary among its customers, the IESO said the net market impact was less than $10 million, amid ongoing legislation to lower electricity rates in Ontario.

It said it would improve testing of its processes prior to deployment and agreed to publicly disclose errors that significantly affect the wholesale market in the future.

 

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EPA: New pollution limits proposed for US coal, gas power plants reflect "urgency" of climate crisis

EPA Power Plant Emissions Rule proposes strict greenhouse gas limits for coal and gas units, leveraging carbon capture (CCS) under the Clean Air Act to cut CO2 and accelerate decarbonization of the U.S. grid.

 

Key Points

A proposed EPA rule setting CO2 limits for coal and gas plants, using CCS to cut power-sector greenhouse gases.

✅ Applies to existing and new coal and large gas units

✅ Targets near-zero CO2 by 2038 via CCS or retirement

✅ Cites grid, health, and climate benefits; faces legal challenges

 

The Biden administration has proposed new limits on greenhouse gas emissions from coal- and gas-fired power plants, its most ambitious effort yet to roll back planet-warming pollution from the nation’s second-largest contributor to climate change.

A rule announced by the Environmental Protection Agency could force power plants to capture smokestack emissions using a technology that has long been promised but is not used widely in the United States, and arrives amid changes stemming from the NEPA rewrite that affect project reviews.

“This administration is committed to meeting the urgency of the climate crisis and taking the necessary actions required,″ said EPA Administrator Michael Regan.

The plan would not only “improve air quality nationwide, but it will bring substantial health benefits to communities all across the country, especially our front-line communities ... that have unjustly borne the burden of pollution for decades,” Regan said in a speech at the University of Maryland.

President Joe Biden, whose climate agenda includes a clean electricity standard as a key pillar, called the plan “a major step forward in the climate crisis and protecting public health.”

If finalized, the proposed regulation would mark the first time the federal government has restricted carbon dioxide emissions from existing power plants, following a Trump-era replacement of Obama’s power plant overhaul, which generate about 25% of U.S. greenhouse gas pollution, second only to the transportation sector. The rule also would apply to future electric plants and would avoid up to 617 million metric tons of carbon dioxide through 2042, equivalent to annual emissions of 137 million passenger vehicles, the EPA said.

Almost all coal plants — along with large, frequently used gas-fired plants — would have to cut or capture nearly all their carbon dioxide emissions by 2038, the EPA said, a timeline that echoed concerns raised during proposed electricity pricing changes in the prior administration. Plants that cannot meet the new standards would be forced to retire.

The plan is likely to be challenged by industry groups and Republican-leaning states, much like litigation over the Affordable Clean Energy rule unfolded in recent years. They have accused the Democratic administration of overreach on environmental regulations and warn of a pending reliability crisis for the electric grid. The power plant rule is one of at least a half-dozen EPA rules limiting power plant emissions and wastewater treatment rules.

“It’s truly an onslaught” of government regulation “designed to shut down the coal fleet prematurely,″ said Rich Nolan, president and CEO of the National Mining Association.

Regan denied that the power plant rule was aimed at shutting down the coal sector, but acknowledged — even after the end to the 'war on coal' rhetoric — “We will see some coal retirements.”

 

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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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Wall Street Backs Rick Perry’s $19 Billion Data Center Venture

Wall Street backs Rick Perry’s $19 billion nuclear-powered data center venture, Fermi America, combining nuclear energy, AI infrastructure, and data centers to meet soaring electricity demand and attract major investors betting on America’s clean energy technology future.

 

What is "Wall Street Backs Rick Perry’s $19 Billion Nuclear-Powered Data Center Venture”?

Wall Street is backing Rick Perry’s $19 billion nuclear-powered data center venture because it combines the explosive growth of AI with the promise of clean, reliable nuclear energy.

✅ Addresses AI’s massive power demands with nuclear generation

✅ Positions Fermi America as a pioneer in energy-tech convergence

✅ Reflects investor confidence in long-term clean energy solutions

Former Texas Governor and U.S. Energy Secretary Rick Perry has returned to the energy spotlight, this time leading a bold experiment at the intersection of nuclear power and artificial intelligence. His startup, Fermi America, headquartered in Amarillo, Texas, went public this week with an initial valuation of $19 billion after its shares surged 55 percent above the opening price on the first day of trading.

The company aims to tackle one of the most pressing challenges in modern technology: the staggering energy demand of AI data centers. “Artificial intelligence, which is getting more and more embedded in all parts of our lives, the servers that host the data for artificial intelligence are stored in these massive warehouses called data centers,” said Houston Chronicle energy reporter Claire Hao. “And data centers use a ton of electricity.”

Fermi America’s plan, Hao explained, is as ambitious as it is unconventional. Fermi America has a proposal to build what it claims will be the world’s largest data center, powered by what it asserts will be the country’s largest nuclear complex. So very ambitious plans.”

According to the company’s roadmap, Fermi aims to bring its first mega reactor online by 2032, followed by three additional large reactors. In the meantime, the firm intends to integrate natural gas and solar energy by the end of next year to support early-stage operations.

While much of the energy sector’s attention has turned toward small modular reactors, Fermi’s approach focuses on traditional large-scale nuclear technology. “What Fermi is talking about building are large traditional reactors,” Hao said. “These very large traditional reactors are a tried and true technology. But the nuclear industry has a history of taking a very long time to build them, and they are also very expensive to build.” She noted that the most recent example, completed in 2023 by a Georgia utility, came in $17 billion over budget and several years late.

To mitigate such risks, Fermi has recruited specialists with international experience. “They’ve hired folks that have successfully built these projects in China and in other countries where it has been a lot smoother to build these,” Hao said. “Fermi wants to try to make it a quicker process.”

Perry’s involvement lends both visibility and controversy. In addition to co-founding the company, Griffin Perry, his son, plays a role in its management. The firm has hinted that it might even name reactors after former President Donald Trump, under whom Perry served as Secretary of Energy. Perry has framed the project as part of a national effort to regain technological ground. “He really wants to help the U.S. catch up to countries like China when it comes to delivering nuclear power for the AI race,” Hao explained. “He says we’re already behind.”

Despite the fanfare, Fermi America is still a fledgling enterprise. Founded in January and announced publicly in June, the company reported a $6.4 million loss in the first half of the year and has yet to generate any revenue. Still, its IPO exceeded expectations, opening at $21 a share and closing above $32 on the first day.

“I think that just shows there’s a lot of hype on Wall Street around artificial intelligence-related ventures,” Hao said. “Fermi, in the four months since it announced itself as a company, has found a lot of different ways to grab people’s attention.”

For now, the project represents both a technological gamble and a test of investor faith — a fusion of nuclear ambition and AI optimism that has Wall Street watching closely.

 

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Demise of nuclear plant plans ‘devastating’ to Welsh economy, MP claims

Wylfa Nuclear Project Cancellation reflects Hitachi's withdrawal, pulling £16bn from North Wales, risking jobs, reshaping UK nuclear power plans as renewables grow and Chinese involvement rises amid shifting energy market policies.

 

Key Points

An indefinite halt to Hitachi's Wylfa Newydd nuclear plant, removing about £16bn investment and jobs from North Wales.

✅ Hitachi withdraws funding amid changing energy market costs

✅ Puts 400 local roles and up to 10,000 construction jobs at risk

✅ UK shifts toward renewables as nuclear project support stalls

 

Chris Ruane said Japanese firm Hitachi’s announcement this morning about the Wylfa project would take £16 billion of investment out of the region.

He said it was the latest in a list of energy projects which had been scrapped as he responded to a statement from business secretary Greg Clark.

Mr Ruane, the Labour member for the Vale of Clywd, said: “In his statement he said the Government are relying now more on renewables, can I put the North Wales picture to him; 1,500 wind turbines were planned off the coast of North Wales. They were removed, those plans were cancelled by the private sector.

“The tidal lagoons for Wales were key to the development of the Welsh economy – the Government itself pulled the support for the Swansea Bay tidal lagoon. That had a knock-on effect for the huge lagoon planned off the coast of North Wales.

“And now today we hear of the cancellation of a £16 billion investment in the North Wales economy. This will devastate the North Wales economy. The people of North Wales need to know that the Prime Minister is batting for them and batting for the UK.”

Mr Clark blamed the changing landscape of the energy market for today’s announcement, and said Wales has been a “substantial and proud leader” in renewable energy during the UK’s green industrial revolution over recent years.

But another Labour MP from North Wales, Albert Owen, of Ynys Mon, said the Wylfa plant’s cancellation in his constituency is putting 400 jobs at risk, as well as the “potential of 8-10,000 construction jobs”, as well as hundreds of operational jobs and 33 apprenticeships.

He asked Mr Clark: “Can I say straightly can we work together to keep this project alive, to ensure that we create the momentum so it can be ready for a future developer or this developer with the right mechanism?”

The minister replied that he and his officials would “work together in a completely open-book way on the options” to try and salvage the project.

But in the Lords, Labour former security minister Lord West of Spithead said the UK’s nuclear industry was in crisis, noting that Europe is losing nuclear power as well.

“In the 1950s our nation led the world in nuclear power generation and decisions by successive governments, of all hues, have got us in the position today where we cannot even construct a large civil nuclear reaction,” he told peers at question time.

Lord West asked: “Are we content that now the only player seems to be Chinese and that by 2035… we are happy for the Chinese to control one third of the energy supply of our nation?”

Business, Energy and Industrial Strategy minister Lord Henley said the Government had hoped for a better announcement from Hitachi but that was not the case.

He said costs in the nuclear sector were rising, amid setbacks at Hinkley Point C, while costs for many renewables were coming down and this was one of the reasons for the problem.

Tory former energy secretary Lord Howell of Guildford said the Chinese were in “pole position” for the rebuilding and replacement “of our nuclear fleet” and this would have a major impact on UK energy policy and plans to meet net zero targets in the 2030s.

Plaid Cymru’s Lord Wigley warned that putting the Wylfa Newydd on indefinite hold would cause economic planning blight in north-west Wales and urged the Government to raise the level of support allocated to the region.

Lord Henley acknowledged the announcement was not welcome but added: “We remain committed to nuclear power. We will look to see what we can do. We still have a great deal of expertise in this country and we can work on that.”

 

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