Redford taking on Texas coal-fired power plants

France Nuclear Power Strategy illustrates a low-carbon, reliable baseload complementing renewables in the energy transition, enhancing grid reliability, energy security, and emissions reduction, offering actionable lessons for Germany on infrastructure, policy, and public acceptance.

Key Points

France's nuclear strategy is a low-carbon baseload model supporting renewables, grid reliability, and energy security.

✅ Stable low-carbon baseload complements intermittent renewables

✅ Enhances grid reliability and national energy security

✅ Requires long-term investment, safety, and waste management

In recent months, France has showcased the critical role that nuclear power plants can play in an energy transition, offering valuable lessons for Germany and other countries grappling with their own energy challenges. As Europe continues to navigate its path towards a sustainable and reliable energy system, France's experience with nuclear energy underscores its potential benefits and the complexities involved, including outage risks in France that operators must manage effectively.

France, a long-time proponent of nuclear energy, generates about 70% of its electricity from nuclear power, making it one of the most nuclear-dependent countries in the world. This high reliance on nuclear energy has allowed France to maintain a stable and low-carbon electricity supply, which is increasingly significant as nations aim to reduce greenhouse gas emissions, even as Europe's nuclear capacity declines in several markets, and combat climate change.

Recent events in France have highlighted several key aspects of nuclear power's role in energy transition:

1. Reliability and Stability: During periods of high renewable energy generation or extreme weather events, nuclear power plants have proven to be a stable and reliable source of electricity. Unlike solar and wind power, which are intermittent and depend on weather conditions, nuclear plants provide a consistent and continuous supply of power. This stability is crucial for maintaining grid reliability and ensuring that energy demand is met even when renewable sources are not producing electricity.

2. Low Carbon Footprint: France’s commitment to nuclear energy has significantly contributed to its low carbon emissions. By relying heavily on nuclear power, France has managed to reduce its greenhouse gas emissions substantially compared to many other countries. This achievement is particularly relevant as Europe strives to meet ambitious climate targets, with debates over a nuclear option in Germany highlighting climate trade-offs, and reduce overall carbon footprints. The low emissions associated with nuclear power make it an important tool for achieving climate goals and transitioning away from fossil fuels.

3. Energy Security: Nuclear power has played a vital role in France's energy security. The country’s extensive network of nuclear power plants ensures a stable and secure supply of electricity, reducing its dependency on imported energy sources. This energy security is particularly important in the context of global energy market fluctuations and geopolitical uncertainties. France’s experience demonstrates how nuclear energy can contribute to a nation’s energy independence and resilience.

4. Economic Benefits: The nuclear industry in France also provides significant economic benefits. It supports thousands of jobs in construction, operation, and maintenance of power plants, as well as in the supply chain for nuclear fuel and waste management. Additionally, the stable and relatively low cost of nuclear-generated electricity can contribute to lower energy prices for consumers and businesses, enhancing economic stability.

Germany, in contrast, has been moving away from nuclear energy, particularly following the Fukushima disaster in 2011. The country has committed to phasing out its nuclear reactors by 2022 and focusing on expanding renewable energy sources such as wind and solar power. While Germany's renewable energy transition has made significant strides, it has also faced challenges related to grid stability, as Germany's energy balancing act illustrates for policymakers, energy storage, and maintaining reliable power supplies during periods of low renewable generation.

France’s experience with nuclear energy offers several lessons for Germany and other nations considering their own energy strategies:

• Balanced Energy Mix: A diverse energy mix that includes nuclear power alongside renewable sources can help ensure a stable and reliable electricity supply, as ongoing discussions about a nuclear resurgence in Germany emphasize for policymakers today. While renewable energy is essential for reducing carbon emissions, it can be intermittent and may require backup from other sources to maintain grid reliability. Nuclear power can complement renewable energy by providing a steady and consistent supply of electricity.

• Investment in Infrastructure: To maximize the benefits of nuclear energy, investment in infrastructure is crucial. This includes not only the construction and maintenance of power plants but also the development of waste management systems and safety protocols. France’s experience demonstrates the importance of long-term planning and investment to ensure the safe and effective use of nuclear technology.

• Public Perception and Policy: Public perception of nuclear energy can significantly impact its adoption and deployment, and ongoing Franco-German nuclear disputes show how politics shape outcomes across borders. Transparent communication, rigorous safety standards, and effective waste management are essential for addressing public concerns and building trust in nuclear technology. France’s successful use of nuclear power is partly due to its emphasis on safety and regulatory compliance.

In conclusion, France's experience with nuclear power provides valuable insights into the role that this technology can play in an energy transition. By offering a stable, low-carbon, and reliable source of electricity, nuclear power complements renewable energy sources and supports overall energy security. As Germany and other countries navigate their energy transitions, France's example underscores the importance of a balanced energy mix, robust infrastructure, and effective public engagement in harnessing the benefits of nuclear power while addressing associated challenges, with industry voices such as Eon boss on nuclear debate underscoring the sensitivity of cross-border critiques.

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Western Canada Electric Grid could deliver interprovincial transmission, reliability, peak-load support, reserve sharing, and wind and solar integration, lowering costs versus new generation while respecting AESO markets and Crown utility structures.

Key Points

Interprovincial transmission to share reserves, boost reliability, integrate wind and solar, and cut peak capacity costs.

✅ Cuts reserve margins via diversity of peak loads

✅ Enables wind and solar balancing across provinces

✅ Saves ratepayers vs replacing retiring thermal plants

The 2017 Canadian Free Trade Agreement does not do much to encourage provinces to trade electric energy east and west. Would a western Canada electric grid help electricity consumers in the western provinces? Some Alberta officials feel that their electric utilities are investor owned and they perceive the Crown corporations of BC Hydro, SaskPower and Manitoba Hydro to be subsidized by their provincial governments, so an interprovincial electric energy trade would not be on a level playing field.

Because of the limited trade of electric energy between the western provinces, each utility maintains an excessive reserve of thermal and hydroelectric generation greater than their peak loads, to provide a reliable supply during peak load days as grids are increasingly exposed to harsh weather across Canada. This excess does not include variable wind and solar generation, which within a province can’t be guaranteed to be available when needed most.

This attitude must change. Transmission is cheaper than generation, and coordinated macrogrids can further improve reliability and cut costs. By constructing a substantial grid with low profile and aesthetically designed overhead transmission lines, the excess reserve of thermal and hydroelectric generation above the peak electric load can be reduced in each province over time. Detailed assessments will ensure each province retains its required reliability of electric supply.

As the provinces retire aging thermal and coal-fired generators, they only need to replace them to a much lower level, by just enough to meet their future electric loads and Canada's net-zero grid by 2050 goals. Some of the money not spent in replacing retired generation can be profitably invested in the transmission grid across the four western provinces.

But what about Alberta, which does not want to trade electric energy with the other western provinces? It can carry on as usual within the Alberta Electric System Operator’s (AESO) market and will save money by keeping the installed reserve of thermal and hydroelectric generation to a minimum. When Alberta experiences a peak electric load day and some generators are out of service due to unplanned maintenance, it can obtain the needed power from the interprovincial electric grid. None of the other three western provinces will peak at the same time, because of different weather and time zones, so they will have spare capacity to help Alberta over its peak. The peak load in a province only lasts for a few hours, so Alberta will get by with a little help from its friends if needed.

The grid will have no energy flowing on it for this purpose except to assist a province from time to time when it’s unable to meet its peak load. The grid may only carry load five per cent of the time in a year for this purpose. Under such circumstances, the empty grid can then be used for other profitable markets in electric energy. This includes more effective use of variable wind and solar energy, by enabling a province to better balance such intermittent power as well as allowing increased installation of it in every province. This is a challenge for AESO which the grid would substantially ease.

Natural Resources Canada promoted the “Regional Electricity Co-Operative and Strategic Infrastructure” initiative for completion this year and contracted through AESO, alongside an Atlantic grid study to explore regional improvements. This is a first step, but more is needed to achieve the full benefit of a western grid.

In 1970 a study was undertaken to electrically interconnect Britain with France, which was justified based on the ability to reduce reserve generation in both countries. Initially Britain rejected it, but France was partially supportive. In time, a substantial interconnection was built, and being a profitable venture, they are contemplating increasing the grid connections between them.

For the sake of the western consumers of electricity and to keep electricity rates from rising too quickly, as well as allowing productive expansion of wind and solar energy in places like British Columbia's clean energy shift efforts, an electric grid is essential across western Canada.

Dennis Woodford is president of Electranix Corporation in Winnipeg, which studies electric transmission problems, particularly involving renewable energy generators requiring firm connection to the grid.

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Advanced Traffic Light System for Geothermal Safety models fracture growth and friction with rock physics, geophones, and supercomputers to predict induced seismicity during hydraulic stimulation, enabling real-time risk control for ETH Zurich and SED.

Key Points

ATLS uses rock physics, geophones, and HPC to forecast induced seismicity in real time during geothermal stimulation.

✅ Real-time seismic risk forecasts during hydraulic stimulation

✅ Uses rock physics, friction, and fracture modeling on HPC

✅ Supports ETH Zurich and SED field tests in Iceland and Bedretto

The Swiss Earthquake Service and ETH Zurich want to make geothermal energy safer, so news piece from Switzerland earlier this month. This is to be made possible by new software, including machine learning, and the computing power of supercomputers. The first geothermal tests have already been carried out in Iceland, and more will follow in the Bedretto laboratory.

In areas with volcanic activity, the conditions for operating geothermal plants are ideal. In Iceland, the Hellisheidi power plant makes an important contribution to sustainable energy use, alongside innovations like electricity from snow in cold regions.

Deep geothermal energy still has potential. This is the basis of the 2050 energy strategy. While the inexhaustible source of energy in volcanically active areas along fault zones of the earth’s crust can be tapped with comparatively little effort and, where viable, HVDC transmission used to move power to demand centers, access on the continents is often much more difficult and risky. Because the geology of Switzerland creates conditions that are more difficult for sustainable energy production.

Improve the water permeability of the rock

On one hand, you have to drill four to five kilometers deep to reach the correspondingly heated layers of earth in Switzerland. It is only at this depth that temperatures between 160 and 180 degrees Celsius can be reached, which is necessary for an economically usable water cycle. On the other hand, the problem of low permeability arises with rock at these depths. “We need a permeability of at least 10 millidarcy, but you can typically only find a thousandth of this value at a depth of four to five kilometers,” says Thomas Driesner, professor at the Institute of Geochemistry and Petrology at ETH Zurich.

In order to improve the permeability, water is pumped into the subsurface using the so-called “fracture”. The water acts against friction, any fracture surfaces shift against each other and tensions are released. This hydraulic stimulation expands fractures in the rock so that the water can circulate in the hot crust. The fractures in the earth’s crust originate from tectonic tensions, caused in Switzerland by the Adriatic plate, which moves northwards and presses against the Eurasian plate.

In addition to geothermal energy, the “Advanced Traffic Light System” could also be used in underground construction or in construction projects for the storage of carbon dioxide.

Quake due to water injection

The disadvantage of such hydraulic stimulations are vibrations, which are often so weak or cannot be perceived without measuring instruments. But that was not the case with the geothermal projects in St. Gallen 2013 and Basel 2016. A total of around 11,000 cubic meters of water were pumped into the borehole in Basel, causing the pressure to rise. Using statistical surveys, the magnitudes 2.4 and 2.9 defined two limit values ??for the maximum permitted magnitude of the earthquakes generated. If these are reached, the water supply is stopped.

In Basel, however, there was a series of vibrations after a loud bang, with a time delay there were stronger earthquakes, which startled the residents. In both cities, earthquakes with a magnitude greater than 3 have been recorded. Since then it has been clear that reaching threshold values ??determines the stop of the water discharge, but this does not guarantee safety during the actual drilling process.

Simulation during stimulation

The Swiss Seismological Service SED and the ETH Zurich are now pursuing a new approach that can be used to predict in real time, building on advances by electricity prediction specialists in Europe, during a hydraulic stimulation whether noticeable earthquakes are expected in the further course. This is to be made possible by the so-called “Advanced Traffic Light System” based on rock physics, a software developed by the SED, which carries out the analysis on a high-performance computer.

Geophones measure the ground vibrations around the borehole, which serve as indicators for the probability of noticeable earthquakes. The supercomputer then runs through millions of possible scenarios, similar to algorithms to prevent power blackouts during ransomware attacks, based on the number and type of fractures to be expected, the friction and tensions in the rock. Finally, you can filter out the scenario that best reflects the underground.

Further tests in the mountain

However, research is currently still lacking any real test facility for the system, because incorrect measurements must be eliminated and a certain data format adhered to before the calculations on the supercomputer. The first tests were carried out in Iceland last year, with more to follow in the Bedretto geothermal laboratory in late summer, where reliable backup power from fuel cell solutions can keep instrumentation running. An optimum can now be found between increasing the permeability of rock layers and an adequate water supply.

The new approach could make geothermal energy safer and ultimately help this energy source to become more accepted, while grid upgrades like superconducting cables improve efficiency. Research also sees areas of application wherever artificially caused earthquakes can occur, such as in underground mining or in the storage of carbon dioxide underground.

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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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Tunisia Smart Grid Project advances with an AFD loan as STEG deploys smart meters in Sfax, upgrades grid infrastructure, boosts energy efficiency, curbs losses, and integrates renewable energy through digitalization and advanced communication systems.

Key Points

A national program funded by an AFD $131.7M loan to modernize STEG, deploy smart meters, and integrate renewable energy.

✅ 430,000 smart meters in Sfax during phase one

✅ 20-year AFD loan with 7-year grace period

✅ Cuts losses, improves efficiency, enables renewables

The Tunisian parliament has approved taking a $131.7 million loan from the French Development Agency for the implementation of a smart grid project.

Parliament passed legislation regarding the 400 million dinar ($131.7 million) loan plus a grant of $1.1 million.

The loan, to be repaid over 20 years with a grace period of up to 7 years, is part of the Tunisian government’s efforts to establish a strategy of energy switching aimed at reducing costs and enhancing operational efficiency.

The move to the smart grid had been postponed after the Tunisian Company of Electricity and Gas (STEG) announced in March 2017 that implementation of the first phase of the project would begin in early 2018 and cover the entire country by 2023.

STEG was to have received funding some time ago. Last year at the Africa Smart Grid Summit in Tunis, the company said it would initiate an international tender during the first quarter of 2019 to start the project.

The French funding is to be allocated to implementation of the first phase only, which will involve development of control and communication stations and the improvement of infrastructure, where regulatory outcomes such as the Hydro One T&D rates decision can influence investment planning in comparable markets.

It includes installation of 430,000 “intelligent” metres over three years in Sfax governorate in southern Tunisia. The second phase of the project is planned to extend the programme to the rest of the country.

Smart metres to be installed in homes and businesses in Sfax account for about 10% of the total number of metres to be deployed in Tunisia.

At the beginning of 2017, the Industrial Company of Metallic Articles (SIAM), a Tunisian industrial electrical equipment and machinery company, signed an agreement with Huawei for the Chinese company to supply smart electricity metres. The value of the deal was not disclosed.

The smart grid is designed to reduce power waste, reduce the number of unpaid bills, prevent consumer fraud such as power theft in India across distribution networks, improve the ecosystem and increase competitiveness in the electricity sector.

Experts said the main difference between the traditional and smart grids is the adoption of advanced infrastructure for measuring electricity consumption and for communication between the power plant and consumers. The data exchange allows power plants to coordinate electricity production with actual demand.

STEG previously indicated that it had implemented measures to ensure the transition to the smart grid, especially since digitalisation is playing an important role in the energy sector.

The project, which translates Tunisia’s energy plans in the form of a partnership between the public and private sectors, aims at reaching 30% of the country’s electricity need from renewable sources by 2025, even as entities like the TVA face climate goals scrutiny that can affect electricity rates in other markets.

The development of the smart grid will allow STEG to monitor consumption patterns, detect abuses and remotely monitor the grid’s power supply, at a time when regulators have questioned UK network profits to spur efficiency, underscoring the value of transparency.

“The smart grid will change the face of the energy system towards the use of renewable energies,” said Tunisian Industry Minister Slim Feriani. At the forum on alternative energies, he pointed out that energy sector digitisation requires investments in technology and a change in the consumption mentality, as new entrants consider roles like Tesla electricity retailer plans in advanced markets.

Official data indicate that Tunisia’s energy deficit accounts for one-third of the country’s annual trade deficit, which reached record levels of more than $6 billion last year.

STEG, whose debts have reached $329 million over the past eight years, a situation resembling Manitoba Hydro debt pressures in Canada, has not disclosed when and how funding would be secured for the completion of the second phase. The company insists it is working to prevent further losses and to collect its unpaid bills.

STEG CEO Moncef Harrabi, earlier this year, said: “The current situation of the company has forced us to take immediate action to reduce the worsening of the crisis and stop the financial bleeding caused by losses.”

He said the company had repeatedly asked the government to pay subsidy instalments due to the company and to enact binding decisions to force government institutions and departments to pay electricity bills, while elsewhere measures like Thailand power bill cuts have been used to support consumers.

The Tunisian government has yet to disburse the subsidy instalments due STEG for 2018 and 2019, which amount to $658 million. STEG also imports natural gas from Algeria for its power plants at a cost of $1.1 billion a year.

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Scotland Wind Energy October saw renewables supply the equivalent of 98 percent of electricity demand, as onshore wind outpaced National Grid needs, cutting emissions and powering households, per WWF Scotland and WeatherEnergy.

Key Points

A monthly update showing Scottish onshore wind met the equivalent of 98% of electricity demand in October.

✅ 98% of monthly electricity demand equivalent met by wind

✅ 16 days exceeded total national demand, per data

✅ WWF Scotland and WeatherEnergy cited; lower emissions

New figures publicized by WWF Scotland have revealed that wind energy generated the equivalent of 98% of the country’s electricity demand in October, or enough electricity to power millions of Scottish homes across the country.

Scotland has regularly been highlighted as a global wind energy leader, and over the last few years has repeatedly reported record-breaking months for wind generation. Now, it’s all very well and good to say that Scottish wind delivered 98% of the country’s electricity demand, but the specifics are a little different — hence why WWF Scotland always refers to it as wind providing “the equivalent of 98%” of Scotland’s electricity demand. That’s why it’s worth looking at the statistics provided by WWF Scotland, sourced from WeatherEnergy, part of the European EnergizAIR project:

• National Grid demand for the month – 1,850,512 MWh
• What % of this could have been provided by wind power across Scotland – 98%
• Best day – 23rd October 2018, generation was 105,900.94 MWh, powering 8.72m homes, 356% of households. Demand that day was 45,274.5MWh – wind generation was 234% of that.
• Worst day – 18th October 2018 when generation was 18,377.71MWh powering 1,512,568 homes, 62% of households. Demand that day was 73,628.5MWh – wind generation was 25%
• How many days generation was over 100% of households – 27
• How many days generation was over 100% of demand – 16

“What a month October proved to be, with wind powering on average 98 per cent of Scotland’s entire electricity demand for the month, at a time when wind became the UK’s main power source and exceeding our total demand for a staggering 16 out of 31 days,” said Dr Sam Gardner, acting director at WWF Scotland.

“These figures clearly show wind is working, it’s helping reduce our emissions and is the lowest cost form of new power generation. It’s also popular, with a recent survey also showing more and more people support turbines in rural areas. That’s why it’s essential that the UK Government unlocks market access for onshore wind at a time when we need to be scaling up electrification of heat and transport.”

Alex Wilcox Brooke, Weather Energy Project Manager at Severn Wye Energy Agency, added: “Octobers figures are a prime example of how reliable & consistent wind production can be, with production on 16 days outstripping national demand.”

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