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Hydropower Covid-19 Resilience highlights clean, reliable energy and flexible grid services, with pumped storage, automation, and affordability supporting climate action, decarbonization, and recovery through sustainable infrastructure, policy incentives, and capacity upgrades.

Key Points

Hydropower Covid-19 Resilience is the sector's ability to ensure clean, reliable, flexible power during crises.

✅ Record 4,306 TWh in 2019, avoiding 80-100 Mt CO2e emissions.

✅ 1,308 GW installed; 15.6 GW added; flexibility and storage in demand.

✅ Policy, tax incentives, and fast-track approvals to spur projects.

The Covid-19 pandemic has underlined hydropower's resilience and critical role in delivering clean, reliable and affordable energy, especially in times of crisis, as highlighted by IAEA lessons for low-carbon electricity. This is the conclusion of two new reports published by the International Hydropower Association (IHA).

The 2020 Hydropower Status Report presents latest worldwide installed capacity and generation data, showcasing the sector's contribution to global carbon reduction efforts, with low-emissions sources projected to cover almost all demand increases in the next three years. It is published alongside a Covid-19 policy paper featuring recommendations for governments, financial institutions and industry to respond to the current health and economic crisis.

"Preventing an emergency is far better than responding to one," says Roger Gill, President of IHA, highlighting the need to incentivise investments in renewable infrastructure, a view echoed by Fatih Birol during the crisis. "The events of the past few months must be a catalyst for stronger climate action, including greater development of sustainable hydropower."

Now in its seventh edition, the Hydropower Status Report shows electricity generation hit a record 4,306 terawatt hours (TWh) in 2019, the single greatest contribution from a renewable energy source in history, aligning with the outlook that renewables to surpass coal by 2025.

The annual rise of 2.5 per cent (106 TWh) in hydroelectric generation - equivalent to the entire electricity consumption of Pakistan - helped to avoid an estimated additional 80-100 million metric tonnes of greenhouse gases being emitted last year.

The report also highlights:

* Global hydropower installed capacity reached 1,308 gigawatts (GW) in 2019, as 50 countries completed greenfield and upgrade projects, including pumped storage and repowering old dams in some regions.

* A total of 15.6 GW in installed capacity was added in 2019, down on the 21.8 GW recorded in 2018. This represents a rise of 1.2 per cent, which is below the estimated 2.0 per cent growth rate required for the world to meet Paris Agreement carbon reduction targets.

* India has overtaken Japan as the fifth largest world hydropower producer with its total installed capacity now standing at over 50 GW. The countries with the highest increases in were Brazil (4.92 GW), China (4.17 GW) and Laos (1.89 GW).

* Hydropower's flexibility services have been in high demand during the Covid-19 crisis, even as global demand dipped 15% globally, while plant operations have been less affected due to the degree of automation in modern facilities.

* Hydropower developments have not been immune to economic impacts however, with the industry facing widespread uncertainty and liquidity shortages which have put financing and refinancing of some projects at risk.

In a companion policy paper, IHA sets out the immediate impacts of the crisis on the sector, noting how European responses to Covid-19 have accelerated the electricity system transition, as well as recommendations to assist governments and financial institutions and enhance hydropower's contribution to the recovery.

The recommendations include:

• Increasing the ambition of renewable energy and climate change targets which incorporate the role of sustainable hydropower development.
• Supporting sustainable hydropower through introducing appropriate financial measures such as tax incentives to ensure viable and shovel-ready projects can commence.
• Fast-tracking planning approvals to ensure the development and modernisation of hydropower projects can commence as soon as possible, in line with internationally recognised sustainability guidelines.
• Safeguarding investment by extending deadlines for concession agreements and other awarded projects.
• Given the increasing need for long-duration energy storage such as pumped storage, working with regulators and system operators to develop appropriate compensation mechanisms for hydropower's flexibility services.

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SM-1A Nuclear Plant Decommissioning details the US Army Corps of Engineers' removal of the Fort Greely reactor, Cold War facility dismantling, environmental monitoring, remote-site power history, and timeline to 2026 under a deactivated nuclear program.

Key Points

Army Corps plan to dismantle Fort Greely's SM-1A reactor and complete decommissioning of remaining systems by 2026.

✅ Built for remote Arctic radar support during the Cold War

✅ High costs beat diesel; program later deemed impractical

✅ Reactor parts removed; residuals monitored; removal by 2026

The US Army Corps of Engineers has begun decommissioning Alaska’s only nuclear power plant, SM-1A, which is located at Fort Greely, even as new US reactors continue to take shape nationwide. The $17m plant closed in 1972 after ten years of sporadic operation. It was out of commission from 1967 to 1969 for extensive repairs. Much of has already been dismantled and sent for disposal, and the rest, which is encased in concrete, is now to be removed.

The plant was built as part of an experimental programme to determine whether nuclear facilities, akin to next-generation nuclear concepts, could be built and operated at remote sites more cheaply than diesel-fuelled plants.

"The main approach was to reduce significant fuel-transportation costs by having a nuclear reactor that could operate for long terms, a concept echoed in the NuScale SMR safety evaluation process, with just one nuclear core," Brian Hearty said. Hearty manages the Army Corps of Engineers’ Deactivated Nuclear Power Plant Program.

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He said the Army built SM-1A in 1962 hoping to provide power reliably at remote Arctic radar sites, where in similarly isolated regions today new US coal plants may still be considered, intended to detect incoming missiles from the Soviet Union at the height of the Cold War. He added that the programme worked but not as well as Pentagon officials had hoped. While SM-1A could be built and operated in a cold and remote location, its upfront costs were much higher than anticipated, and it costs more to maintain than a diesel power plant. Moreover, the programme became irrelevant because of advances in Soviet rocket science and the development of intercontinental ballistic missiles.

Hearty said the reactor was partially dismantled soon after it was shut down. “All of the fuel in the reactor core was removed and shipped back to the Atomic Energy Commission (AEC) for them to either reprocess or dispose of,” he noted. “The highly activated control and absorber rods were also removed and shipped back to the AEC.”

The SM-1A plant produced 1.8MWe and 20MWt, including steam, which was used to heat the post. Because that part of the system was still needed, Army officials removed most of the nuclear-power system and linked the heat and steam components to a diesel-fired boiler. However, several parts of the nuclear system remained, including the reactor pressure vessel and reactor coolant pumps. “Those were either kept in place, or they were cut off and laid down in the tall vapour-containment building there,” Hearty said. “And then they were grouted and concreted in place.” The Corps of Engineers wants to remove all that remains of the plant, but it is as yet unclear whether that will be feasible.

Meanwhile, monitoring for radioactivity around the facility shows that it remains at acceptable levels. “It would be safe to say there’s no threat to human health in the environment,” said Brenda Barber, project manager for the decommissioning. Work is still in its early stages and is due to be completed in 2026 at the earliest. Barber said the Corps awarded the $4.6m contract in December to a Virginia-based firm to develop a long-range plan for the project, similar in scope to large reactor refurbishment efforts elsewhere. Among other things, this will help officials determine how much of the SM-1A will remain after it’s decommissioned. “There will still be buildings there,” she said. “There will still be components of some of the old structure there that may likely remain.”

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EU Solar Impact on Electricity Prices highlights how rising solar PV penetration drives negative pricing, shifts peak hours, pressures wholesale markets, and challenges grid balancing, interconnection, and flexibility amid changing demand and renewables growth.

Key Points

Explains how rising solar PV cuts wholesale prices, shifts negative-price hours, and strains grid flexibility.

✅ Negative pricing events surge with higher solar penetration.

✅ Afternoon price dips replace night-time wind-led lows.

✅ Grid balancing, interconnectors, and flexibility become critical.

The latest EU electricity market report has confirmed the affect deeper penetration of solar is having on wholesale electricity prices more broadly.

The Quarterly Report on European Electricity Markets for the final three months of last year noted the number of periods of negative electricity pricing doubled from 2019, to almost 1,600 such events, as global renewables set new records in deployment across markets.

Having experienced just three negative price events in 2019, the Netherlands recorded almost 100 last year “amid a dramatic increase in solar PV capacity,” in the nation, according to the report.

Whilst stressing the exceptional nature of the Covid-19 pandemic on power consumption patterns, the quarterly update also noted a shift in the hours during which negative electric pricing occurred in renewables poster child Germany. Previously such events were most common at night, during periods of high wind speed and low demand, but 2020 saw a switch to afternoon negative pricing. “Thus,” stated the report, “solar PV became the main driver behind prices falling into negative territory in the German market in 2020, as Germany's solar boost accelerated, and also put afternoon prices under pressure generally.”

The report also highlighted two instances of scarce electricity–in mid September and on December 9–as evidence of the problems associated with accommodating a rising proportion of intermittent clean energy capacity into the grid, and called for more joined-up cross-border power networks, amid pushback from Russian oil and gas across the continent.

Rising solar generation–along with higher gas output, year on year–also helped the Netherlands generate a net surplus of electricity last year, after being a net importer “for many years.” The EU report also noted a beneficial effect of rising solar generation capacity on Hungary‘s national electricity account, and cited a solar “boom” in that country and Poland, mirroring rapid solar PV growth in China in recent years.

With Covid-19 falls in demand helping renewables generate more of Europe's electricity (39%) than fossil fuels (36%) for the first time, as renewables surpassed fossil fuels across Europe, the market report observed the 5% of the bloc's power produced from solar closed in on the 6% accounted for by hard coal. In the final three months of the year, European solar output rose 12%, year on year, to 18 TWh and “the increase was almost single-handedly driven by Spain,” the study added.

With coal and lignite-fired power plunging 22% last year across the bloc, it is estimated the European power sector reduced its carbon footprint 14% as part of Europe's green surge although the quarterly report warned cold weather, lower wind speeds and rising gas prices in the opening months of this year are likely to see carbon emissions rebound.

There was good news on the transport front, though, with the report stating the scale of the European “electrically-charged vehicle” fleet doubled in 2020, to 2 million, with almost half a million of the new registrations arriving in the final months of the year. That meant cars with plug sockets accounted for a remarkable 17% of new purchases in Q4, twice the proportion seen in China and a slice of the pie six times bigger than such products claimed in the U.S.

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Ontario Electricity Policy debates rates, subsidies, renewables, nuclear baseload, and Quebec hydro imports, highlighting grid transmission limits, community consultation, conservation, and the province's energy mix after cancelled wind projects and rising costs to taxpayers.

Key Points

Ontario Electricity Policy guides rates, generation, grid planning, subsidies and imports for reliable, low-cost power.

✅ Focuses on rates, subsidies, and consumer affordability

✅ Balances nuclear baseload, renewables, and Quebec hydro imports

✅ Emphasizes grid transmission, consultation, and conservation

When Kathleen Wynne’s Liberals went down to defeat at the hands of Doug Ford and the Progressive Conservatives, Ontario electricity had a lot to do with it. That was in 2018. Now, two years later, Ford’s government has electricity issues of its own, including a new stance on wind power that continues to draw scrutiny.

Electricity is politically fraught in Ontario. It’s among the most expensive in Canada. And it has been mismanaged at least as far back as nuclear energy cost overruns starting in the 1980s.

From the start Wynne’s government was tainted by the gas plant scandal of her predecessor Dalton McGuinty and then she created her own with the botched roll-out of her green energy plan. And that helped Ford get elected promising to lower electricity prices. But, rates haven’t gone down under Ford while the cost to the government coffers for subsidizing them have soared - now costing $5.6 billion a year.

Meanwhile, Ford’s government has spent at least $230 million to tear up green energy contracts signed by the former Liberal government, including two wind-farm projects that were already mid-construction.

Lessons learned?
In the final part of a three-part series, the six candidates vying to become the next leader of the Ontario Liberals discuss the province's electricity system, including the lessons learned from the prior Liberal government's botched attempts to fix it that led to widespread local opposition to a string of wind power projects, and whether they'd agree to import more hydroelectricity from Quebec.

“We had the right idea but didn’t stick the landing,” said Steven Del Duca, a member of the former Wynne government who lost his Vaughan-area seat in 2018, referring to its green-energy plan. “We need to make sure that we work more collaboratively with local communities to gain the buy-in needed to be successful in this regard.”

“Consultation and listening is key,” agreed Mitzie Hunter, who was education minister under Kathleen Wynne and in 2018 retained her seat in the legislature representing Scarborough-Guildwood. “We must seek input from community members about investments locally,” she said. “Inviting experts in to advise on major policy is also important to make evidence-based decisions."

Michael Coteau, MPP for Don Valley East and the third leadership candidate who was a member of the former government, called for “a new relationship of respect and collaboration with municipalities.”

He said there is an “important balance to be achieved between pursuing province wide objectives for green-energy initiatives and recognizing and reflecting unique local conditions and circumstances.”

Kate Graham, who has worked in municipal public service and has not held a provincial public office, said that experts and local communities are best placed to shape decisions in the sector.

In the final part of a three-part series, Ontario's Liberal leadership contenders discuss electricity, lessons learned from the bungled rollout of previous Liberal green policy, and whether to lean more on Quebec's hydroelectricity.
“What's gotten Ontario in trouble in the past is when Queen's Park politicians are the ones micromanaging the electricity file,” she said.

“Community consultation is vitally important to the long-term success of infrastructure projects,” said Alvin Tedjo, a former policy adviser to Liberal ministers Brad Duguid and Glen Murray.

“Community voices must be heard and listened to when large-scale energy programs are going to be implemented,” agreed Brenda Hollingsworth, a personal injury lawyer making her first foray into politics.

Of the six candidates, only Coteau went beyond reflection to suggest a path forward, saying he would review the distribution of responsibilities between the province and municipalities, with the aim of empowering cities and towns.

Turn back to Quebec?
Ford’s government has also turned away from a deal signed in 2016 to import hydroelectricity from Quebec.

Graham and Hunter both said they would consider increasing such imports. Hunter noted that the deal, which would displace domestic natural gas production, will lower the cost of electricity paid by Ontario ratepayers by a net total of $38 million from 2017 to 2023, according to the province’s fiscal watchdog.

“I am open to working with our neighbouring province,” Hunter said. “This is especially important as we seek to bring electricity to remote northern, on-reserve Indigenous communities.”

Tedjo said he has no issues with importing clean energy as long as it’s at a fair price.

Hollingsworth and Coteau both said they would withhold judgment until they could see the province’s capacity status in 2022.

“In evaluating the case for increasing importation of water power from Quebec, we must realistically assess the limitations of the existing transmission system and the cost and time required to scale up transmission infrastructure, among other factors,” Coteau said.

Del Duca also took a wait-and-see approach. “This will depend on our energy needs and energy mix,” he said. “I want to see our energy needs go down; we need more efficiency and better conservation to make that happen.”

What's the right energy mix?
Nuclear energy currently accounts for about a third of Ontario’s energy-producing capacity, even as Canada explores zero-emissions electricity by 2035 pathways. But it actually supplies about 60 percent of Ontario’s electricity. That is because nuclear reactors are always on, producing so-called baseload power.

Hydroelectricity provides another 25 percent of supply, while oil and natural gas contribute 6 per cent and wind adds 7 percent. Both solar and biofuels account for less than one percent of Ontario’s energy supply. However, a much larger amount of solar is not counted in this tally, as it is used at or near the sites where it is generated, and never enters the transmission system.

Asked for their views on how large a role various sources of power should play in Ontario’s electricity mix in the future, the candidates largely backed the idea of renewable energy, but offered little specifics.

Graham repeated her statement that experts and communities should drive that conversation. Tedjo said all non-polluting technologies should play a role in Ontario’s energy mix, as provinces like Alberta demonstrate parallel growth in green energy and fossil fuels. Coteau said we need a mix of renewable-energy sources, without offering specifics.

“We also need to pursue carbon capture and sequestration, working in particular with our farming communities,” he added.

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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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European Energy Market Crisis drives record natural gas and electricity prices across the EU, as LNG supply constraints, Russian pipeline dependence, marginal pricing, and renewables integration expose volatility in liberalised power markets.

Key Points

A 2021 surge in European gas and electricity prices from supply strains, demand rebounds, and marginal pricing exposure.

✅ Record TTF gas and day-ahead power prices across Europe

✅ LNG constraints and Russian pipeline dependence tightened supply

✅ Debate over marginal pricing vs regulated models intensifies

By Ronan Bolton

The year 2021 was a turbulent one for energy markets across Europe, as Europe's energy nightmare deepened across the region. Skyrocketing natural gas prices have created a sense of crisis and will lead to cost-of-living problems for many households, as wholesale costs feed through into retail prices for gas and electricity over the coming months.

This has created immediate challenges for governments, but it should also encourage us to rethink the fundamental design of our energy markets as we seek to transition to net zero, with many viewing it as a wake-up call to ditch fossil fuels across the bloc.

This energy crisis was driven by a combination of factors: the relaxation of Covid-19 lockdowns across Europe created a surge in demand, while cold weather early in the year diminished storage levels and contributed to increasing demand from Asian economies. A number of technical issues and supply-side constraints also combined to limit imports of liquefied natural gas (LNG) into the continent.

Europe’s reliance on pipeline imports from Russia has once again been called into question, as Gazprom has refused to ride to the rescue, only fulfilling its pre-existing contracts. The combination of these, and other, factors resulted in record prices – the European benchmark price (the Dutch TTF Gas Futures Contract) reached almost €180/MWh on 21 December, with average day-ahead electricity prices exceeding €300/MWh across much of the continent in the following days.

Countries which rely heavily on natural gas as a source of electricity generation have been particularly exposed, with governments quickly put under pressure to intervene in the market.

In Spain the government and large energy companies have clashed over a proposed windfall tax on power producers. In Ireland, where wind and gas meet much of the country’s surging electricity demand, the government is proposing a €100 rebate for all domestic energy consumers in early 2022; while the UK government is currently negotiating a sector-wide bailout of the energy supply sector and considering ending the gas-electricity price link to curb bills.

This follows the collapse of a number of suppliers who had based their business models on attracting customers with low prices by buying cheap on the spot market. The rising wholesale prices, combined with the retail price cap previously introduced by the Theresa May government, led to their collapse.

While individual governments have little control over prices in an increasingly globalised and interconnected natural gas market, they can exert influence over electricity prices as these markets remain largely national and strongly influenced by domestic policy and regulation. Arising from this, the intersection of gas and power markets has become a key site of contestation and comment about the role of government in mitigating the impacts on consumers of rising fuel bills, even as several EU states oppose major reforms amid the price spike.

Given that renewables are constituting an ever-greater share of production capacity, many are now questioning why gas prices play such a determining role in electricity markets.

As I outline in my forthcoming book, Making Energy Markets, a particular feature of the ‘European model’ of liberalised electricity trade since the 1990s has been a reliance on spot markets to improve the efficiency of electricity systems. The idea was that high marginal prices – often set by expensive-to-run gas peaking plants – would signal when capacity limits are reached, providing clear incentives to consumers to reduce or delay demand at these peak periods.

This, in theory, would lead to an overall more efficient system, and in the long run, if average prices exceeded the costs of entering the market, new investments would be made, thus pushing the more expensive and inefficient plants off the system.

The free-market model became established during a more stable era when domestically-sourced coal, along with gas purchased on long-term contracts from European sources (the North Sea and the Netherlands), constituted a much greater proportion of electricity generation.

While prices fluctuated, they were within a somewhat predictable range, and provided a stable benchmark for the long-term contracts underpinning investment decisions. This is no longer the case as energy markets become increasingly volatile and disrupted during the energy transition.

The idea that free price formation in a competitive market, with governments standing back, would benefit electricity consumers and lead to more efficient systems was rooted in sound economic theory, and is the basis on which other major commodity markets, such as metals and agricultural crops, have been organised for decades.

The free-market model applied to electricity had clear limitations, however, as the majority of domestic consumers have not been exposed directly to real-time price signals. While this is changing with the roll-out of smart meters in many countries, the extent to which the average consumer will be willing or able to reduce demand in a predicable way during peak periods remains uncertain.

Also, experience shows that governments often come under pressure to intervene in markets if prices rise sharply during periods of scarcity, thus undermining a basic tenet of the market model, with EU gas price cap strategies floated as one option.

Given that gas continues to play a crucial role in balancing supply and demand for electricity, the options available to governments are limited, illustrating why rolling back electricity prices is harder than it appears for policymakers. One approach would be would be to keep faith with the liberalised market model, with limited interventions to help consumers in the short term, while ultimately relying on innovations in demand side technologies and alternatives to gas as a means of balancing systems with high shares of variable renewables.

An alternative scenario may see a return to old style national pricing policies, involving a move away from marginal pricing and spot markets, even as the EU prepares to revamp its electricity market in response. In the past, in particular during the post-WWII decades, and until markets were liberalised in the 1990s, governments have taken such an approach, centrally determining prices based on the costs of delivering long term system plans. The operation of gas plants and fuel procurement would become a much more regulated activity under such a model.

Many argue that this ‘traditional model’ better suits a world in which governments have committed to long-term decarbonisation targets, and zero marginal cost sources, such as wind and solar, play a more dominant role in markets and begin to push down prices.

A crucial question for energy policy makers is how to exploit this deflationary effect of renewables and pass-on cost savings to consumers, whilst ensuring that the lights stay on.

Despite the promise of storage technologies such as grid-scale batteries and hydrogen produced from electrolysis, aside from highly polluting coal, no alternative to internationally sourced natural gas as a means of balancing electricity systems and ensuring our energy security is immediately available.

This fact, above all else, will constrain the ambitions of governments to fundamentally transform energy markets.

Ronan Bolton is Reader at the School of Social and Political Science, University of Edinburgh and Co-Director of the UK Energy Research Centre. His book Making Energy Markets: The Origins of Electricity Liberalisation in Europe is to be published by Palgrave Macmillan in 2022.

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