Fiji to ramp up hydropower capacity

BC Energy Debate: Nuclear Power and LNG divides British Columbia, as a new survey weighs zero-emission clean energy, hydroelectric capacity, the Site C dam, EV mandates, energy security, rising costs, and blackout risks.

Key Points

A BC-wide debate on power choices balancing nuclear, LNG, hydro, costs, climate goals, EVs, and grid reliability.

✅ Survey: 43% support nuclear, 40% oppose in BC

✅ 55% back LNG expansion, led by Southern BC

✅ Hydro at 90%; Site C adds 1,100 MW by 2025

There is a long-term need to produce more electricity to meet population and economic growth needs and, in particular, create new clean energy sources, with two new BC generating stations recently commissioned contributing to capacity.

Increasingly, in the worldwide discourse on climate change, nuclear power plants are being touted as a zero-emission clean energy source, with Ontario exploring large-scale nuclear to expand capacity, and a key solution towards meeting reduced emissions goals. New technological advancements could make nuclear power far safer than existing plant designs.

When queried on whether British Columbia should support nuclear power for electricity generation, respondents in a new province-wide survey by Research Co. were split, with 43% in favour and 40% against.

Levels of support reached 46% in Metro Vancouver, 41% in the Fraser Valley, 44% in Southern BC, 39% in Northern BC, and 36% on Vancouver Island.

The closest nuclear power plant to BC is the Columbia Generating Station, located in southern Washington State.

The safe use of nuclear power came to the forefront following the 2011 Fukushima nuclear disaster when the most powerful earthquake ever recorded in Japan triggered a large tsunami that damaged the plant’s emergency generators. Japan subsequently shut off many of its nuclear power plants and increased its reliance on fossil fuel imports, but in recent years there has been a policy reversal to restart shuttered nuclear plants to provide the nation with improved energy security.

Over the past decade, Germany has also been undergoing a transition away from nuclear power. But in an effort to replace Russian natural gas, Germany is now using more coal for power generation than ever before in decades, while Ontario’s electricity outlook suggests a shift to a dirtier mix, and it is looking to expand its use of liquefied natural gas (LNG).

Last summer, German chancellor Olaf Scholz told the CBC he wants Canada to increase its shipments of LNG gas to Europe. LNG, which is greener compared to coal and oil, is generally seen as a transitionary fuel source for parts of the world that currently depend on heavy polluting fuels for power generation.

When the Research Co. survey asked BC residents whether they support the further development of the province’s LNG industry, including LNG electricity demand that BC Hydro says justifies Site C, 55% of respondents were supportive, while 29% were opposed and 17% undecided.

Support for the expansion of the LNG is highest in Southern BC (67%), followed by the Fraser Valley (56%), Metro Vancouver (also 56%), Northern BC (55%), and Vancouver Island (41%).

A larger proportion of BC residents are against any idea of the provincial government moving to ban the use of natural gas for stoves and heating in new buildings, with 45% opposed and 39% in support.

Significant majorities of BC residents are concerned that energy costs could become too expensive, and a report on coal phase-outs underscores potential cost and effectiveness concerns, with 84% expressing concern for residents and 66% for businesses. As well, 70% are concerned that energy shortages could lead to measures such as rationing and rolling blackouts.

Currently, about 90% of BC’s electricity is produced by hydroelectric dams, but this fluctuates throughout the year — at times, BC imports coal- and gas-generated power from the United States when hydro output is low.

According to BC Hydro’s five-year electrification plan released in September 2021, it is estimated BC has a sufficient supply of clean electricity only by 2030, including the capacity of the Site C dam, which is slated to open in 2025. The $16 billion dam will have an output capacity of 1,100 megawatts or enough power for the equivalent of 450,000 homes.

The provincial government’s strategy for pushing vehicles towards becoming dependent on the electrical grid also necessitates a reliable supply of power, prompting BC Hydro’s first call for power in 15 years to prepare for electrification. Most BC residents support the provincial government’s requirement for all new car and passenger truck sales to be zero-emission by 2035, with 75% supporting the goal and 21% opposed.
 

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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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Germany Hydrogen-Ready Power Plants Tender accelerates the energy transition by enabling clean energy generation, decarbonization, and green hydrogen integration through retrofit and new-build capacity, resilient infrastructure, flexible storage, and grid reliability provisions.

Key Points

Germany tender to build or convert plants for hydrogen, advancing decarbonization, energy security, and clean power.

✅ Hydrogen-ready retrofits and new-build generation capacity

✅ Supports decarbonization, grid reliability, and flexible storage

✅ Future-proof design for green hydrogen supply integration

Germany, a global leader in energy transition and environmental sustainability, has recently launched an ambitious call for tenders aimed at developing hydrogen-ready power plants. This initiative is a significant step in the country's strategy to transform its energy infrastructure and support the broader goal of a greener economy. The move underscores Germany’s commitment to reducing greenhouse gas emissions and advancing clean energy technologies.

The Need for Hydrogen-Ready Power Plants

Hydrogen, often hailed as a key player in the future of clean energy, offers a promising solution for decarbonizing various sectors, including power generation. Unlike fossil fuels, hydrogen produces zero carbon emissions when used in fuel cells or burned. This makes it an ideal candidate for replacing conventional energy sources that contribute to climate change.

Germany’s push for hydrogen-ready power plants reflects the country’s recognition of hydrogen’s potential in achieving its climate goals. Traditional power plants, which typically rely on coal, natural gas, or oil, emit substantial amounts of CO2. Transitioning these plants to utilize hydrogen can significantly reduce their carbon footprint and align with Germany's climate targets.

The Details of the Tender

The recent tender call is part of Germany's broader strategy to incorporate hydrogen into its energy mix, amid a nuclear option debate in climate policy. The tender seeks proposals for power plants that can either be converted to use hydrogen or be built with hydrogen capability from the outset. This approach allows for flexibility and innovation in how hydrogen technology is integrated into existing and new energy infrastructures.

One of the critical aspects of this initiative is the focus on “hydrogen readiness.” This means that power plants must be designed or retrofitted to operate with hydrogen either exclusively or in combination with other fuels. The goal is to ensure that these facilities can adapt to the growing availability of hydrogen and seamlessly transition from conventional fuels without significant additional modifications.

By setting such requirements, Germany aims to stimulate the development of technologies that can handle hydrogen’s unique properties and ensure that the infrastructure is future-proofed. This includes addressing challenges related to hydrogen storage, transportation, and combustion, and exploring concepts like storing electricity in natural gas pipes for system flexibility.

Strategic Implications for Germany

Germany’s call for hydrogen-ready power plants has several strategic implications. First and foremost, it aligns with the country’s broader energy strategy, which emphasizes the need for a transition from fossil fuels to cleaner alternatives, building on its decision to phase out coal and nuclear domestically. As part of its commitment to the Paris Agreement and its own climate action plans, Germany has set ambitious targets for reducing greenhouse gas emissions and increasing the share of renewable energy in its energy mix.

Hydrogen plays a crucial role in this strategy, particularly for sectors where direct electrification is challenging. For instance, heavy industry and certain industrial processes, such as green steel production, require high-temperature heat that is difficult to achieve with electricity alone. Hydrogen can fill this gap, providing a cleaner alternative to natural gas and coal.

Moreover, this initiative helps Germany bolster its leadership in green technology and innovation. By investing in hydrogen infrastructure, Germany positions itself as a pioneer in the global energy transition, potentially influencing international standards and practices. The development of hydrogen-ready power plants also opens up new economic opportunities, including job creation in engineering, construction, and technology sectors.

Challenges and Opportunities

While the push for hydrogen-ready power plants presents significant opportunities, it also comes with challenges. Hydrogen production, especially green hydrogen produced from renewable sources, remains relatively expensive compared to conventional fuels. Scaling up production and reducing costs are critical for making hydrogen a viable alternative for widespread use.

Furthermore, integrating hydrogen into existing power infrastructure, alongside electricity grid expansion, requires careful planning and investment. Issues such as retrofitting existing plants, ensuring safe handling of hydrogen, and developing efficient storage and transportation systems must be addressed.

Despite these challenges, the long-term benefits of hydrogen integration are substantial, and a net-zero roadmap indicates electricity costs could fall by a third. Hydrogen can enhance energy security, reduce reliance on imported fossil fuels, and support global climate goals. For Germany, this initiative is a step towards realizing its vision of a sustainable, low-carbon energy system.

Conclusion

Germany’s call for hydrogen-ready power plants is a forward-thinking move that reflects its commitment to sustainability and innovation. By encouraging the development of infrastructure capable of using hydrogen, Germany is taking a significant step towards a cleaner energy future. While challenges remain, the strategic focus on hydrogen underscores Germany’s leadership in the global transition to a low-carbon economy. As the world grapples with the urgent need to address climate change, Germany’s approach serves as a model for integrating emerging technologies into national energy strategies.

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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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TransLink Electric Bus Pilot launches zero-emission service in Metro Vancouver, cutting greenhouse gas emissions with fast-charging stations on Route 100, supporting renewable energy goals alongside trolley buses, CNG, and hybrid fleets.

Key Points

TransLink's Metro Vancouver program deploying charging, zero-emission buses on Route 100 to cut emissions and fuel costs.

✅ Cuts ~100 tonnes GHG and saves $40k per bus annually

✅ Five-minute on-route charging at terminals on Route 100

✅ Pilot data to guide zero-emission fleet transition by 2050

TransLink's first battery-electric buses are taking to the roads in Metro Vancouver as part of a pilot project to reduce emissions, joining other initiatives like electric school buses in B.C. that aim to cut pollution in transportation.

The first four zero-emission buses picked up commuters in Vancouver, Burnaby and  New Westminster on Wednesday. Six more are expected to be brought in, and similar launches like Edmonton's first electric bus are underway across Canada.

"With so many people taking transit in Vancouver today, electric buses will make a real difference," said Merran Smith, executive director of Clean Energy Canada, a think tank at Simon Fraser University, in a release.

According to TransLink, each bus is expected to reduce 100 tonnes of greenhouse gas emissions and save $40,000 in fuel costs per year compared to a conventional diesel bus.

"Buses already help tackle climate change by getting people out of cars, and Vancouver is ahead of the game with its electric trolleys," Smith said.

She added there is still more work to be done to get every bus off diesel, as seen with the TTC's battery-electric buses rollout in Toronto.

The buses will run along the No. 100 route connecting Vancouver and New Westminster. They recharge — it takes about five minutes — at new charging stations installed at both ends of the route while passengers load and unload or while the driver has a short break. 

Right now, more than half of TransLink's fleet currently operates with clean technology, offering insights alongside Toronto's large battery-electric fleet for other cities. 

In addition to the four new battery-electric buses, the fleet also includes hundreds of zero-emission electric trolley buses, compressed natural gas buses and hybrid diesel-electric buses, while cities like Montreal's first STM electric buses continue to expand adoption.

"Our iconic trolley buses have been running on electricity since 1948 and we're proud to integrate the first battery-electric buses to our fleet," said TransLink CEO Kevin Desmond in a press release.

TransLink has made it a goal to operate its fleet with 100 per cent renewable energy in all operations by 2050. Desmond says, the new buses are one step closer to meeting that goal.

The new battery-electric buses are part of a two-and-a-half year pilot project that looks at the performance, maintenance, and customer experience of making the switch to electric, complementing BC Hydro's vehicle-to-grid pilot initiative underway in the province.

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UK Nuclear Power Expansion is vital for low-carbon baseload, energy security, and Net Zero, complementing renewables like wind and solar, reducing gas reliance, and unlocking investment through clear financing rules and proven, dependable reactor technology.

Key Points

Accelerating reactor build-out for low-carbon baseload to boost energy security and help deliver the UK Net Zero target.

✅ Cuts gas dependence and stabilizes grids with firm capacity.

✅ Complements wind and solar for reliable, low-carbon supply.

✅ Needs clear financing to unlock investment and lower costs.

Leading nuclear industry figures will today call for a major programme of new power stations to hit ambitious emissions reduction targets.

The 19th Nuclear Industry Association annual conference in London will highlight the need for a proven, dependable source of low carbon electricity generation alongside growth in weather-dependent solar and wind power, and particularly the rapid expansion of wind and solar generation across the UK.

Without this, they argue, the country risks embedding a major reliance on carbon-emitting gas fired power stations as Europe loses nuclear capacity at a critical time for energy security for generations to come.

Annual public opinion polling released today to coincide with the conference revealed 75% of the population want the UK Government to take more action to reduce CO2 emissions.

The survey, conducted by YouGov in October 2019, has tracked opinion trends on nuclear for more than a decade. It shows continued and consistent public support for an energy mix including nuclear and renewables, with 72% of respondents agreeing this was needed to ensure a reliable supply of electricity.

Nuclear power was also perceived as the most secure energy source for keeping the lights on, compared to other sources such as oil, gas, coal, wind power, fracking and solar power.

Last month both the Labour and Conservative Parties committed to new nuclear power as part of their election Manifestos and the government's wider green industrial revolution plans for clean growth. At the same time, 27 leading figures in the fields of environment, energy, and industry signed an open letter addressed to parliamentary candidates, which set out the benefits of nuclear and underscored the consequences of not, at least, replacing the UK's current fleet of power stations.

The Nuclear Industry Association said there is no time to be lost in clarifying the ambition and the financing rules for new nuclear power which would bring down costs and unlock a major programme of investment.

Tom Greatrex, Chief Executive of the NIA, said "We have to grow the industry's contribution to a low carbon economy. The independent Committee on Climate Change said earlier this year that we need a variety of technologies including nuclear power/1 for net zero to reach the UK's Net Zero emissions target by 2050".

"This is a proven, dependable, technology with lower lifecycle CO2 emissions than solar power and the same as offshore wind/2. It is also an important economic engine for the UK, supporting uses beyond electricity and creating high quality direct and indirect employment for around 155,000 people."

"Right now nuclear provides 20%/3 of all the UK's electricity but all but one of our existing fleet will close over the next decade, amid the debate over nuclear's decline as power demand will only increase with a shift to electric heating and vehicles."

"The countries and regions which have most successfully decarbonised, like Sweden, France and Ontario in Canada, have done so by relying on nuclear, aligning with Canada's climate goals for affordable, safe power today. You are not serious about tackling climate change if you are not serious about nuclear".

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