German renewables law under scrutiny

EV Subsidies in Canada influence greenhouse-gas emissions based on electricity grid mix; in Ontario and Quebec they reduce pollution, while fossil-fuel grids blunt benefits. Compare costs per tonne with carbon tax and renewable energy policies.

Key Points

Government rebates for electric vehicles, whose emissions impact and cost-effectiveness depend on provincial grid mix.

✅ Impact varies by grid emissions; clean hydro-nuclear cuts CO2.

✅ MEI estimates up to $523 per tonne vs $50 carbon price.

✅ Best value: tax carbon; target renewables, efficiency, hybrids.

Bad ideas sometimes look better, and sell better, than good ones – as with the proclaimed electric-car revolution that policymakers tout today. Not always, or else Canada wouldn’t be the mostly well-run place that it is. But sometimes politicians embrace a less-than-best policy – because its attractive appearance may make it more likely to win the popularity contest, right now, even though it will fail in the long run.

The most seasoned political advisers know it. Pollsters too. Voters, in contrast, don’t know what they don’t know, which is why bad policy often triumphs. At first glance, the wrong sometimes looks like it must be right, while better and best give the appearance of being bad and worst.

This week, the Montreal Economic Institute put out a study on the costs and benefits of taxpayer subsidies for electric cars. They considered the logic of the huge amounts of money being offered to purchasers in the country’s two largest provinces. In Quebec, if you buy an electric vehicle, the government will give you up to $8,000; in Ontario, buying an electric car or truck entitles you to a cheque from the taxpayer of between $6,000 and $14,000. The subsidies are rich because the cars aren’t cheap.

Will putting more electric cars on the road lower greenhouse-gas emissions? Yes – in some provinces, where they can be better for the planet when the grid is clean. But it all depends on how a province generates electricity. In places like Alberta, Saskatchewan, Nova Scotia and Nunavut territory, where most electricity comes from burning fossil fuels, an electric car may actually generate more greenhouse gases than one running on traditional gasoline. The tailpipe of an electric vehicle may not have any emissions. But quite a lot of emissions may have been generated to produce the power that went to the socket that charged it.

A few years ago, University of Toronto engineering professor Christopher Kennedy estimated that electric cars are only less polluting than the gasoline vehicles they replace when the local electrical grid produces a good chunk of its power from renewable sources – thereby lowering emissions to less than roughly 600 tonnes of CO2 per gigawatt hour.

Unfortunately, the electricity-generating systems in lots of places – from India to China to many American states – are well above that threshold. In those jurisdictions, an electric car will be powered in whole or in large part by electricity created from the burning of a fossil fuel, such as coal. As a result, that car, though carrying the green monicker of “electric,” is likely to be more polluting than a less costly model with an internal combustion or hybrid engine.

The same goes for the Canadian juridictions mentioned above. Their electricity is dirtier, so operating an electric car there won’t be very green. Alberta, for example, is aiming to generate 30 per cent of its electricity from renewable sources by 2030 – which means that the other 70 per cent of its electricity will still come from fossil fuels. (Today, the figure is even higher.) An Albertan trading in a gasoline car for an electric vehicle is making a statement – just not the one he or she likely has in mind.

In Ontario and Quebec, however, most electricity is generated from non-polluting sources, even though Canada still produced 18% from fossil fuels in 2019 overall. Nearly all of Quebec’s power comes from hydro, and more than 90 per cent of Ontario’s electricity is from zero-emission generation, mainly hydro and nuclear. British Columbia, Manitoba and Newfoundland and Labrador also produce the bulk of their electricity from hydro. Electric cars in those provinces, powered as they are by mostly clean electricity, should reduce emissions, relative to gas-powered cars.

But here’s the rub: Electric cars are currently expensive, and, as a recent survey shows, consequently not all that popular. Ontario and Quebec introduced those big subsidies in an attempt to get people to buy them. Those subsidies will surely put more electric cars on the road and in the driveways of (mostly wealthy) people. It will be a very visible policy – hey, look at all those electrics on the highway and at the mall!

However, that result will be achieved at great cost. According to the MEI, for Ontario to reach its goal of electrics constituting 5 per cent of new vehicles sold, the province will have to dish out up to $8.6-billion in subsidies over the next 13 years.

And the environmental benefits achieved? Again, according to the MEI estimate, that huge sum will lower the province’s greenhouse-gas emissions by just 2.4 per cent. If the MEI’s estimate is right, that’s far too many bucks for far too small an environmental bang.

Here’s another way to look at it: How much does it cost to reduce greenhouse-gas emissions by other means? Well, B.C.’s current carbon tax is $30 a tonne, or a little less than 7 cents on a litre of gasoline. It has caused GHG emissions per unit of GDP to fall in small but meaningful ways, thanks to consumers and businesses making millions of little, unspectacular decisions to reduce their energy costs. The federal government wants all provinces to impose a cost equivalent to $50 a tonne – and every economic model says that extra cost will make a dent in greenhouse-gas emissions, though in ways that will not involve politicians getting to cut any ribbons or hold parades.

What’s the effective cost of Ontario’s subsidy for electric cars? The MEI pegs it at $523 per tonne. Yes, that subsidy will lower emissions. It just does so in what appears to be the most expensive and inefficient way possible, rather than the cheapest way, namely a simple, boring and mildly painful carbon tax.

Electric vehicles are an amazing technology. But they’ve also become a way of expressing something that’s come to be known as “virtue signalling.” A government that wants to look green sees logic in throwing money at such an obvious, on-brand symbol, or touting a 2035 EV mandate as evidence of ambition. But the result is an off-target policy – and a signal that is mostly noise.

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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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NRC Advanced Reactor Licensing streamlines a risk-informed, performance-based, technology-inclusive pathway for advanced non-light water reactors, aligning with NEIMA to enable predictable regulatory reviews, inherent safety, clean energy deployment, and industrial heat, hydrogen, and desalination applications.

Key Points

A risk-informed, performance-based NRC pathway streamlining licensing for advanced non-light water reactors.

✅ Aligned with NEIMA: risk-informed, performance-based, tech-inclusive

✅ Predictable licensing for advanced non-light water reactor designs

✅ Enables clean heat, hydrogen, desalination beyond electricity

The US Nuclear Regulatory Commission (NRC) voted 4-0 to approve the implementation of a more streamlined and predictable licensing pathway for advanced non-light water reactors, aligning with nuclear innovation priorities identified by industry advocates, the Nuclear Energy Institute (NEI) announced, and amid regional reliability measures such as New England emergency fuel stock plans that have drawn cost scrutiny.

This approach is consistent with the Nuclear Energy Innovation and Modernisation Act (NEIMA), a nuclear innovation act passed in 2019 by the US Congress calling for the development of a risk-informed, performance-based and technology inclusive licensing process for advanced reactor developers.

NEI Chief Nuclear Officer Doug True said: “A modernised regulatory framework is a key enabler of next-generation nuclear technologies that, amid ACORE’s challenge to DOE subsidy proposals in energy market proceedings, can help us meet our energy needs while protecting the climate. The Commission’s unanimous approval of a risk-informed and performance-based licensing framework paves the way for regulatory reviews to be aligned with the inherent safety characteristics, smaller reactor cores and simplified designs of advanced reactors.”

Over the last several years the industry’s Licensing Modernisation Project, sponsored by US Department of Energy, led by Southern Nuclear, and supported by NEI’s Advanced Reactor Regulatory Task Force, and influenced by a presidential order to bolster uranium and nuclear energy, developed the guidance for this new framework. Amid shifts in the fuel supply chain, including the U.S. ban on Russian uranium, this approach will inform the development of a new rule for licensing advanced reactors, which NEIMA requires.

“A well-defined licensing path will benefit the next generation of nuclear plants, especially as regions consider New England market overhaul efforts, which could meet a wide range of applications beyond generating electricity such as producing heat for industry, desalinating water, and making hydrogen – all without carbon emissions,” True noted.

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Franco-German Nuclear Power Divide shapes EU energy policy, electricity market reform, and decarbonization strategies, as Paris backs reactors and state subsidies while Berlin prioritizes renewables, hydrogen, and energy security after Russian gas shocks.

Key Points

A policy rift over nuclear shaping EU market reform, subsidies, and the balance between reactors and renewables.

✅ Nuclear in EU targets vs. renewables-first strategy

✅ Market design disputes over long-term power prices

✅ Energy security after Russian gas; hydrogen definitions

Near the French village of Fessenheim, facing Germany across the Rhine, a nuclear power station stands dormant. The German protesters that once demanded the site’s closure have decamped, in a sign of Europe's nuclear decline, and the last watts were produced three years ago. 

But disagreements over how the plant from 1977 should be repurposed persist, speaking to a much deeper divide over nuclear power, which Eon chief's warning to Germany underscored, between the two countries on either side of the river’s banks.

German officials have disputed a proposal to turn it into a centre to treat metals exposed to low levels of radioactivity, Fessenheim’s mayor Claude Brender says. “They are not on board with anything that might in some way make the nuclear industry more acceptable,” he adds.

France and Germany’s split over nuclear power is a tale of diverging mindsets fashioned over decades, including since the Chernobyl disaster in USSR-era Ukraine. But it has now become a major faultline in a touchy relationship between Europe’s two biggest economies.

Their stand-off over how to treat nuclear in a series of EU reforms has consequences for how Europe plans to advance towards cleaner energy. It will also affect how the bloc secures power supplies as the region weans itself off Russian gas, even though nuclear would do little for the gas issue, and how it provides its industry with affordable energy to compete with the US and China. 

“There can be squabbles between partners. But we’re not in a retirement home today squabbling over trivial matters. Europe is in a serious situation,” says Eric-André Martin, a specialist in Franco-German relations at French think-tank IFRI. 

France, which produces two-thirds of its power from nuclear plants and has plans for more reactors, is fighting for the low-carbon technology to be factored into its targets for reducing emissions and for leeway to use state subsidies to fund the sector.

For Germany, which closed its last nuclear plants this year and, having turned its back on nuclear, has been particularly shaken by its former reliance on Russian gas, there’s concern that a nuclear drive will detract from renewable energy advances.

But there is also an economic subtext in a region still reeling from an energy crisis last year, reviving arguments for a needed nuclear option for climate in Germany, when prices spiked and laid bare how vulnerable households and manufacturers could become.

Berlin is wary that Paris would benefit more than its neighbours if it ends up being able to guarantee low power prices from its large nuclear output as a result of new EU rules on electricity markets, amid talk of a possible U-turn on the phaseout, people close to talks between the two countries say.

Ministers on both sides have acknowledged there is a problem. “The conflict is painful. It’s painful for the two governments as well as for our [EU] partners,” Sven Giegold, state secretary at the German economy and climate action ministry, where debates about whether a nuclear resurgence is possible persist, tells the Financial Times. 

Agnès Pannier-Runacher, France’s energy minister, says she wants to “get out of the realm of the emotional and move past the considerable misunderstandings that have accumulated in this discussion”.

In a joint appearance in Hamburg last week, German chancellor Olaf Scholz and French president Emmanuel Macron made encouraging noises over their ability to break the latest deadlock: a disagreement over the design of the EU’s electricity market. Ministers had been due to agree a plan in June but will now meet on October 17 to discuss the reform, aimed at stabilising long-term prices.

But the French and German impasse on nuclear has already slowed down debates on key EU policies such as rules on renewable energy and how hydrogen should be produced. Smaller member states are becoming impatient. The delay on the market design is “a big Franco-German show of incompetence again”, says an energy ministry official from another EU country who requested anonymity. 

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EU Electricity Market Reform advances two-way CfDs, PPAs, and fixed-price tariffs to cut volatility, support renewables and nuclear, stabilize investor revenues, and protect consumers from price spikes across wholesale power markets.

Key Points

An EU plan expanding two-way CfDs, PPAs, and fixed-price contracts to curb price swings and support low-carbon power.

✅ Two-way CfDs return excess revenues to consumers

✅ Boosts PPAs and fixed-price retail options

✅ Targets renewables, nuclear; limits fossil exposure

The European Union wants to expand the use of contracts that pay power plants a fixed price for electricity, a draft proposal showed, as part of an electricity market revamp to shield European consumers from big price swings.

The European Commission pledged last year to reform the EU's electricity market rules, after record-high gas prices, caused by cuts to Russian flows, sent power prices soaring, prompting debates over gas price cap strategies in response.

A draft of the EU executive's proposal, seen by Reuters on Tuesday and due to be published on Mar. 16, steered clear of the deep redesign of the electricity market that some member states have called for, even as nine EU countries opposed sweeping reforms as a fix earlier in the crisis, suggesting instead limited changes to nudge countries towards more predictable, fixed-price power contracts.

If EU countries want to support new investments in wind, solar, geothermal, hydropower and nuclear electricity, for example - a point over which France and Germany have wrestled - they should use a two-way contract for difference (CfD) or an equivalent contract, the draft said.

The aim is to provide a stable revenue stream to investors, and help make consumers' energy bills less volatile, even though rolling back electricity prices is tougher than it appears. Restricting this support to renewable and low-carbon electricity also aims to speed up Europe's shift away from fossil fuels.

Two-way CfDs offer generators a fixed "strike price" for their electricity, regardless of the price in short-term energy markets. If the market price is above the CfD strike price, then the extra revenue the generator receives should be handed out to final electricity consumers, the draft EU document said.

Countries should also make it easier for power buyers to sign power purchase agreements (PPA) - another type of long-term contract to directly buy electricity from a generator.

Governments should also make sure consumers have access to fixed-price electricity contracts - echoing France's new electricity pricing scheme to reassure Brussels - giving them the option to avoid a contract that would expose them to volatile prices swings in energy markets, the draft said.

If European energy prices were to spike to extreme levels again, the Commission suggested allowing national governments to temporarily intervene to fix prices while weighing emergency measures to limit prices where needed, and offer consumers and small businesses a share of their electricity at a lower price.

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California Blackouts expose grid reliability risks as PG&E deenergizes lines during high winds. Mandated solar and wind displace dispatchable natural gas, straining ISO load balancing, transmission maintenance, and battery storage planning amid escalating wildfire liability.

Key Points

California grid shutoffs stem from wildfire risk, renewables, and deferred transmission maintenance under mandates.

✅ PG&E deenergizes lines to reduce wildfire ignition during high winds.

✅ Mandated solar and wind displace dispatchable gas, raising balancing costs.

✅ Storage, reliability pricing, and grid upgrades are needed to stabilize supply.

California is again facing widespread blackouts this season. Politicians are scrambling to assign blame to Pacific Gas & Electric (PG&E) a heavily regulated utility that can only do what the politically appointed regulators say it can do. In recent years this has meant building a bunch of solar and wind projects, while decommissioning reliable sources of power and scrimping on power line maintenance and upgrades.

The blackouts are connected with the legal liability from old and improperly maintained power lines being blamed for sparking fires—in hopes that deenergizing the grid during high winds reduces the likelihood of fires. 

How did the land of Silicon Valley and Hollywood come to have developing world electricity?

California’s Democratic majority, from Gov. Gavin Newsom to the solidly progressive legislature, to the regulators they appoint, have demanded huge increases in renewable energy. Renewable electricity targets have been pushed up, and policymakers are weighing a revamp of electricity rates to clean the grid, with the state expected to reach a goal of 33% of its power from renewable sources, mostly solar and wind, by next year, and 60% of its electricity from renewables by 2030.

In 2018, 31% of the electricity Californians purchased at the retail level came from approved renewables. But when rooftop solar is added to the mix, about 34% of California’s electricity came from renewables in 2018. Solar photovoltaic (PV) systems installed “behind-the-meter” (BTM) displace utility-supplied generation, but still affect the grid at large, as electricity must be generated at the moment it is consumed. PV installations in California grew 20% from 2017 to 2018, benefiting from the state’s Self-Generation Incentive Program that offers hefty rebates through 2025, as well as a 30% federal tax credit.

Increasingly large amounts of periodic, renewable power comes at a price—the more there is, the more difficult it is to keep the power grid stable and energized. Since electricity must be consumed the instant it is generated, and because wind and solar produce what they will whenever they do, the rest of the grid’s power producers—mostly natural gas plants—have to make up any differences between supply and immediate demand. This load balancing is vital, because without it, the grid will crash and widespread blackouts will ensue.

California often produces a surplus of mandated solar and wind power, generated for 5 to 8 cents per kilowatt hour. This power displaces dispatchable power from natural gas, coal and nuclear plants, resulting in reliable power plants spending less time online and driving up electricity prices as the plants operate for fewer hours of the day. Subsidized and mandated solar power, along with a law passed in California in 2006 (SB 1638) that bans the renewal of coal-fired power contracts, has placed enormous economic pressure on the Western region’s coal power plants—among them, the nation’s largest, Navajo Generating Station. As these plants go off line, the Western power grid will become increasingly unstable. Eventually, the states that share their electric power in the Western Interconnect may have to act to either subsidize dispatchable power or place a value on reliability—something that was taken for granted in the growth of the America’s electrical system and its regulatory scheme.

California law regarding electricity explicitly states that “a violation of the Public Utilities Act is a crime” and that it is “…the intent of the Legislature to provide for the evolution of the ISO (California’s Independent System Operator—the entity that manages California’s grid) into a regional organization to promote the development of regional electricity transmission markets in the western states.” In other words, California expects to dictate how the Western grid operates.

One last note as to what drives much of California’s energy policy: politics. California State Senator Kevin de León (the author served with him in the State Assembly) drafted SB 350, the Clean Energy and Pollution Reduction Act. It became law in 2015. Sen. de León followed up with SB 100 in 2018, signed into law weeks before the 2018 election. SB 100 increased California’s renewable portfolio standard to 60% by 2030 and further requires all the state’s electricity to come from carbon-free sources by 2045, a capstone of the state’s climate policies that factor into the blackout debate.  

Sen. de León used his environmental credentials to burnish his run for the U.S. Senate against Sen. Dianne Feinstein, eventually capturing the endorsements of the California Democratic Party and billionaire environmentalist Tom Steyer, now running for president. Feinstein and de León advanced to the general in California’s jungle primary, where Feinstein won reelection 54.2% to 45.8%.

De León may have lost his race for the U.S. Senate, but his legacy will live on in increasingly unaffordable electricity and blackouts, not only in California, but in the rest of the Western United States—unless federal or state regulators begin to place a value on reliability. This could be done by requiring utility scale renewable power providers to guarantee dispatchable power, as policymakers try to avert a looming shortage of firm capacity, either through purchase agreements with thermal power plants or through the installation of giant and costly battery farms or other energy storage means.

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