Toronto Hydro customers may pay for settlement

Autonomous Energy Kites harness offshore wind on floating platforms, using carbon fiber wings, tethers, and rotors to generate grid electricity; an airborne wind energy solution backed by Alphabet's Makani to cut turbine costs.

Key Points

Autonomous Energy Kites are tethered craft that capture winds with rotors, generating grid power from floating platforms.

✅ Flies circles on tethers; rotors drive generators to feed the grid.

✅ Operates over deep-sea winds where fixed turbines are impractical.

✅ Lighter, less visual impact, and lower installation costs offshore.

One company's self-flying energy kite may be the answer to increasing wind power around the world, alongside emerging wave power solutions as well.

California-based Makani -- which is owned by Google's parent company, Alphabet -- is using power from the strongest winds found out in the middle of the ocean, where the offshore wind sector has huge potential, typically in spots where it's a challenge to install traditional wind turbines. Makani hopes to create electricity to power communities across the world.

Despite a growing number of wind farms in the United States and the potential of this energy source, lessons from the U.K. underscore how to scale, yet only 6% of the world's electricity comes from wind due to the the difficulty of setting up and maintaining turbines, according to the World Wind Energy Association.

When the company's co-founders, who were fond of kiteboarding, realized deep-sea winds were largely untapped, they sought to make that energy more accessible. So they built an autonomous kite, which looks like an airplane tethered to a base, to install on a floating platform in water, as part of broader efforts to harness oceans and rivers for power across regions. Tests are currently underway off the coast of Norway.

"There are many areas around the world that really don't have a good resource for renewable power but do have offshore wind resources," Makani CEO Fort Felker told Rachel Crane, CNN's innovation correspondent. "Our lightweight kites create the possibility that we could tap that resource very economically and bring renewable power to hundreds of millions of people."

This technology is more cost-efficient than a traditional wind turbine, which is a lot more labor intensive and would require lots of machinery and installation.

The lightweight kite, which is made of carbon fiber, has an 85-foot wingspan. The kite launches from a base station and is constrained by a 1,400-foot tether as it flies autonomously in circles with guidance from computers. Crosswinds spin the kite's eight rotors to move a generator that produces electricity that's sent back to the grid through the tether.

The kites are still in the prototype phase and aren't flown constantly right now as researchers continue to develop the technology. But Makani hopes the kites will one day fly 24/7 all year round. When the wind is down, the kite will return to the platform and automatically pick back up when it resumes.

Chief engineer Dr. Paula Echeverri said the computer system is key for understanding the state of the kite in real time, from collecting data about how fast it's moving to charting its trajectory.

Echeverri said tests have been helpful in establishing what some of the challenges of the system are, and the team has made adjustments to get it ready for commercial use. Earlier this year, the team successfully completed a first round of autonomous flights.

Working in deeper water provides an additional benefit over traditional wind turbines, according to Felker. By being farther offshore, the technology is less visible from land, and the growth of offshore wind in the U.K. shows how coastal communities can adapt. Wind turbines can be obtrusive and impact natural life in the surrounding area. These kites may be more attractive to areas that wish to preserve their scenic coastlines and views.

It's also desirable for regions that face constraints related to installing conventional turbines -- such as island nations, where World Bank support is helping developing countries accelerate wind adoption, which have extremely high prices for electricity because they have to import expensive fossil fuels that they then burn to generate electricity.

Makani isn't alone in trying to bring novelty to wind energy. Several others companies such as Altaeros Energies and Vortex Bladeless are experimenting with kites of their own or other types of wind-capture methods, such as underwater kites that generate electricity, a huge oscillating pole that generates energy and a blimp tethered to the ground that gathers winds at higher altitudes.

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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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West and Central Africa Electricity Access hinges on utility reform, renewable energy, off-grid solar, mini-grids, battery storage, and regional grid integration, lowering costs, curbing energy poverty, and advancing SDG7 with sustainable, reliable power solutions.

Key Points

Expanding reliable power via renewables, grid trade, and off-grid systems to cut energy poverty and unlock inclusive growth.

✅ Utility reform lowers costs and improves service reliability

✅ Regional grid integration enables clean, least-cost power trade

✅ Off-grid solar and mini-grids electrify remote communities

As commodity prices soar and leaders around the world worry about energy shortages and prices of gasoline at the pump, millions of people in Africa still lack access to electricity.  One-half of the people on the continent cannot turn on a fan when temperatures go up, can’t keep food cool, or simply turn the lights on. This energy access crisis must be addressed urgently.

In West and Central Africa, only three countries are on track to give every one of their people access to electricity by 2030. At this slow pace, 263 million people in the region will be left without electricity in ten years.  West Africa has one of the lowest rates of electricity access in the world; only about 42% of the total population, and 8% of rural residents, have access to electricity.

These numbers, some far too big, others far too small, have grave consequences. Electricity is an important step toward enhancing people’s opportunities and choices. Access is key to boosting economic activity and contributes to improving human capital, which, in turn, is an investment in a country’s potential.  

Without electricity, children can’t do their schoolwork at night. Businesspeople can’t get information on markets or trade with each other. Worse, as the COVID-19 pandemic has shown so starkly, limited access to energy constrains hospital and emergency services, further endangering patients and spoiling precious medicine.  

What will it take to power West and Central Africa?  
As the African continent recovers from COVID-19 impacts, now is the critical time to accelerate progress towards universal energy access to drive the region’s economic transformation, promote socio-economic inclusion, and unlock human capital growth. Without reliable access to electricity, the holes in a country’s social fabric can grow bigger, those without access growing disenchanted with inequality.  

Tackling the Africa region’s energy access crisis requires four bold approaches. 

First, this involves making utilities financially viable. Many power providers in the region are cash-strapped, operate dilapidated and aging generation fleet and infrastructure. Therefore, they can’t deliver reliable and affordable electricity to their customers, let alone deliver electricity to those that currently must rely on inadequate alternatives to electricity. Overall, fewer than half of the utilities in Sub-Saharan Africa recover their operating costs, resulting in GDP losses as high as four percent in some countries.

Improving the performance of national utilities and greening their power generation mix is a prerequisite to lowering the costs of supply, thus expanding electricity access to those currently unelectrified, usually lower-income and often remote households. 

In that effort — and this a critical second point — West and Central African countries need to look beyond their borders and further integrate their national utilities and grids to other systems in the region. The region has an abundance of affordable clean energy sources — hydropower in Guinea, Mali, and Cote d’Ivoire; high solar irradiation in the Sahel — but the regional energy market is fragmented. 

Without efficient regional trade, many countries are highly dependent on one or two energy resources and heavily reliant on inefficient, polluting generation sources, requiring fuel imports linked to volatile international oil prices.

The vision of an integrated regional power market in countries of the Economic Community of West African States (ECOWAS) is coming a step closer to reality thanks to an ambitious program of cross-border interconnection projects. If countries take full advantage of this grid, the share of the region’s electricity consumption traded across borders would more than double from 8 percent today to about 17 percent by 2030. Overall, regional power trade could lower the lifecycle cost of West Africa’s power generation system by about 10 percent and provide greener energy by 2030. 

Third, electrification efforts need to be open to private sector investments and innovations, such as renewables like solar energy and battery storage, which have made a tremendous impact in enabling access for millions of poor and underserved households.  Specifically, off-grid solar systems and mini-grids have become a proven reliable way to provide affordable modern electricity services, powering homes in rural communities, healthcare facilities, and schools.

Burkina Faso, which enjoys one of the best solar radiation conditions in the region, is a successful example of leveraging the transformative impact of solar energy and battery storage. With support from the World Bank, the country is deploying solar energy to power its national grid, as well as mini-grids and individual household systems. Solar power with battery storage is competitive in Burkina Faso compared to other technologies and its government was successful in attracting private sector investments to support this technology.

Last, achieving universal electricity access will involve significant commitment from political leaders, especially developing policies and regulations that can attract high-quality investments.  

A significant step in that direction was achieved at the World Bank’s 2020 Annual Meetings with a commitment to set up the Powering Transformation Platform in each African country. Through the platform, each government will set their country-specific vision, goals and metrics, track progress, and explore and exchange innovative ideas and emerging best practices according to their own national energy needs and plans. 

This platform will bring together the elements needed to bring electricity to all in West and Central Africa and help attract new financing.

Over the last 3 years, the World Bank has doubled its investments to increase electricity access rates in Central and West Africa.  We have committed more than $7.8 billion to support 40 electricity access programs, of which more than half directly support new electricity connections. These operations are expected to provide access to 16 million people. The aim is to increase electricity access rates in West and Central Africa from 50 percent today to 64 percent by 2026.

However, World Bank’s financing alone is not enough. Our estimates show that nearly $20 billion are required for universal electrification across Sub-Saharan Africa, aligning with calls to quadruple power investment to meet demand, with about $10 billion annually needed for West and Central Africa. 

Closing the funding gap will require mobilizing traditional and new partners, especially the private sector, which is willing to invest if enabling conditions are in place, as well as philanthropic capital, that can fill in the space in areas not yet commercially attractive. The World Bank is ready to play a catalytical role in leveraging new investments. 

This is vital as less than a decade remains to reach the 2030 SDG7 goal of ensuring electricity for all through affordable, reliable, and modern energy services. As headlines worldwide focus on soaring energy prices in the developed world, we cannot lose sight of the vast populations in Africa that still cannot access basic energy services. This is the true global energy crisis.  

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Inventoried Energy Program pays ISO-NE generators for fuel security to boost winter reliability, with FERC approval, covering fossil, nuclear, hydropower, and batteries, complementing capacity markets to enhance grid resilience during severe cold snaps.

Key Points

ISO-NE program paying generators to hold fuel or energy reserves for emergencies, boosting winter reliability.

✅ FERC-approved stopgap for 2023 and 2024 winter seasons

✅ Pays for on-site fuel or stored energy during cold-trigger events

✅ Open to fossil, nuclear, hydro, batteries; limited gas participation

Electricity ratepayers in New England will pay tens of millions of dollars to fossil fuel and nuclear power plants later this decade under a program that proponents say is needed to keep the lights on during severe winters but which critics call a subsidy with little benefit to consumers or the grid, even as Connecticut is pushing a market overhaul across the region.

Last week the Federal Energy Regulatory Commission said ISO-New England, which runs the six-state power grid, can create what it calls the Inventoried Energy Program or IEP. This basically will pay certain power plants to stockpile of fuel for use in emergencies during two upcoming winters as longer-term solutions are developed.

The federal commission called it a reasonable short-term solution to avoid brownouts which doesn’t favor any given technology.

Not all agree, however, including FERC Commissioner Richard Glick, who wrote a fiery dissent to the other three commissioners.

“The program will hand out tens of millions of dollars to nuclear, coal and hydropower generators without any indication that those payments will cause the slightest change in those generators’ behavior,” Glick wrote. “Handing out money for nothing is a windfall, not a just and reasonable rate.”

The program is the latest reaction by ISO-NE to the winter of 2013-14 when New England almost saw brownouts because of a shortage of natural gas to create electricity during a pair of week-long deep freezes.

ISO-New England says the situation is more critical now because of the possible retirement of the gas-fired Mystic Generating Station in Massachusetts. As with closed nuclear plants such as Vermont Yankee and Pilgrim in Massachusetts, power plant owners say lower electricity prices, partly due to cheap renewables and partly to stagnant demand, means they can’t be profitable just by selling power.

Programs like the IEP are meant to subsidize such plants – “incentivize” is the industry term – even though some argue there is no need to subsidize nuclear in deregulated markets so they’ll stay open if they are needed.

The IEP approved last week will be applied to the winters of 2023 and 2024, after a different subsidy program expires. It sets prices, despite warnings about rushing pricing changes from industry groups, for stocking certain amounts of fuel and payments during any “trigger” event, defined as a day when the average of high and low temperatures at Bradley International Airport in Connecticut is no more than 17 degrees Fahrenheit.

These payments will be made on top of a complex system of grid auctions used to decide how much various plants get paid for generating electricity at which times.

ISO-NE estimates the new program will cost between $102 million and $148 million each winter, depending on weather and market conditions.

It says the payments are open to plants that burn oil, coal, nuclear fuel, wood chips or trash; utility-scale battery storage facilities; and hydropower dams “that store water in a pond or reservoir.” Natural gas plants can participate if they guarantee to have fuel available, but that seems less likely because of winter heating contracts.

A major complaint and groups that filed petitions opposing the project is that ISO-NE presented little supporting evidence of how prices, amount and overall cost were determined. ISO-NE argued that there wasn’t time for such analysis before the Mystic shutdown, and FERC agreed.

“The proposal is a step in the right direction … while ISO-NE finishes developing a long-term market solution,” the commission said in its ruling.

The program is the latest example of complexities facing the nation’s electricity system evolves in the face of solar and wind power, which produce electricity so cheaply that they can render traditional power uneconomic but which can’t always produce power on demand, prompting discussions of Texas grid improvements among policymakers. Another major factor is climate change, which has increased the pressure to support renewable alternatives to plants that burn fossil fuels, as well as stagnant electricity demand caused by increased efficiency.

Opponents, including many environmental groups, say electricity utilities and regulators are too quick to prop up existing systems, as the 145-mile Maine transmission line debate shows, built when electricity was sent one way from a few big plants to many customers. They argue that to combat climate change as well as limit cost, the emphasis must be on developing “non-wire alternatives” such as smart systems for controlling demand, in order to take advantage of the current system in which electricity goes two ways, such as from rooftop solar back into the grid.

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

Key Points

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

✅ Double-counted unmetered load from embedded generation

✅ Inflated HOEP; shifted costs via Global Adjustment

✅ OEB flagged transparency; exporters paid more

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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UK Smart Export Guarantee enables households to sell surplus solar energy to suppliers, with dynamic export tariffs, grid payments, and battery-friendly incentives, boosting local renewable generation, microgeneration uptake, and decarbonisation across Britain.

Key Points

UK Smart Export Guarantee pays homes for exporting surplus solar power to the grid via supplier tariffs.

✅ Suppliers must pay households for exported kWh.

✅ Dynamic tariffs incentivize daytime solar generation.

✅ Batteries boost self-consumption and grid flexibility.

Britain’s biggest energy companies will have to buy renewable energy from their own customers through community-generated green electricity models under new laws to be introduced this week.

Homeowners who install new rooftop solar panels from 1 January 2020 will be able to lower their bills as many seek to cut soaring bills by selling the energy they do not need to their supplier.

A record was set at noon on a Friday in May 2017, when solar energy supplied around a quarter of the UK’s electricity, and a recent award that adds 10 GW of renewables indicates further growth.

However, solar panel owners are not always at home on sunny days to reap the benefit. The new rules will allow them to make money if they generate electricity for the grid.

Some 800,000 householders with solar panels already benefit from payments under a previous scheme. However, the subsidies were controversially scrapped by the government in April, with similar reduced credits for solar owners seen in other regions, causing the number of new installations to fall by 94% in May from the month before.

Labour accused the government last week of “actively dismantling” the solar industry. The sector will still struggle this summer as the change does not come in for another seven months, so homeowners have no incentive to buy panels this year.

Chris Skidmore, the minister for energy and clean growth, said the government wanted to increase the number of small-scale generators without adding the cost of subsidies to energy bills. “The future of energy is local and the new smart export guarantee will ensure households that choose to become green energy generators will be guaranteed a payment for electricity supplied to the grid,” he said. The government also hopes to encourage homes with solar panels to install batteries to help manage excess solar power on networks.

Greg Jackson, the founder of Octopus Energy, said: “These smart export tariffs are game-changing when it comes to harnessing the power of citizens to tackle climate change”.

A few suppliers, including Octopus, already offer to buy solar power from their customers, often setting terms for how solar owners are paid that reflect market conditions.

“They mean homes and businesses can be paid for producing clean electricity just like traditional generators, replacing old dirty power stations and pumping more renewable energy into the grid. This will help bring down prices for everyone as we use cheaper power generated locally by our neighbours,” Jackson said.

Léonie Greene, a director at the Solar Trade Association, said it was “vital” that even “very small players” were paid a fair price. “We will be watching the market like a hawk to see if competitive offers come forward that properly value the power that smart solar homes can contribute to the decarbonising electricity grid,” she said.

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