Pattern Energy closes funding for wind project

By Reuters


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Pattern Energy Group LP said that it finished more than $100 million in financing for a 101.2-megawatt wind project in California, citing an easing in the marketplace.

Six banks joined in the debt funding for construction costs, which converts to a term financing facility upon commercial operation.

The lenders include Natixis, Union Bank, LBBW, Calyon, Societe Generale, and WestLB.

Pattern Energy Chief Executive Mike Garland declined to give an exact amount of the lending, but said it was more than $100 million and less than $250 million.

"We think there is more capital in the marketplace than there had been six months ago. But the terms are tougher and the time it takes to put the transactions together takes longer," Garland said.

Pattern Energy is developing the 101.2-MW wind power project in Shasta County, California, and has a 15-year power purchase agreement with PG&E Corp's main unit, Pacific Gas & Electric, for the power.

Renewable Energy Systems Americas Inc will lead the construction, using 2.3 MW turbines made by Siemens AG. The project is expected to finish construction and reach commercial operation before the end of 2010.

In July, energy and power-focused private equity firm Riverstone Holdings acquired Babcock & Brown's North American wind energy group and its development pipeline.

Renamed Pattern Energy, the group has a pipeline of more than 4,000 MW of wind developments and power transmission projects and plans to build 400 to 500 MW of projects over the next 18 months, Garland said.

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How utilities are using AI to adapt to electricity demands

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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U.S. Residents Averaged Fewer Power Outages in 2022

2022 U.S. Power Outage Statistics show lower SAIDI as fewer major events hit, with SAIFI trends, electric reliability, outage duration and frequency shaped by hurricanes, winter storms, vegetation, and utility practices across states.

 

Key Points

They report SAIDI and SAIFI for 2022, showing outage duration, frequency, and impacts of major weather events.

✅ 2022 SAIDI averaged 5.6 hours; SAIFI averaged 1.4 interruptions.

✅ Fewer major events lowered outage duration versus 2021.

✅ Hurricanes and winter storms drove long outages in several states.

 

In 2022, U.S. electricity consumers on average experienced about 5.5 hours of power disruptions, a decrease from nearly two hours compared to 2021. This information comes from the latest Annual Electric Power Industry Report. The reduction in yearly power interruptions primarily resulted from fewer significant events in 2022 compared to the previous year, and utility disaster planning continues to support grid resilience as severe weather persists.

Since 2013, excluding major events, the annual average duration of power interruptions has consistently hovered around two hours. Factors contributing to major power disruptions include weather-related incidents, vegetation interference near power lines, and specific utility practices, while pandemic-related grid operations influenced workforce planning more than outage frequency. To assess the reliability of U.S. electric utilities, two key indexes are utilized:

  • The System Average Interruption Duration Index (SAIDI) calculates the total length (in hours) an average customer endures non-brief power interruptions over a year.
  • The System Average Interruption Frequency Index (SAIFI) tracks the number of times interruptions occur.

The influence of major events on electrical reliability is gauged by comparing affected states' SAIDI and SAIFI values against the U.S. average, which was 5.6 hours of outages and 1.4 outages per customer in 2022. The year witnessed 18 weather-related disasters in the U.S., each resulting in over $1 billion in damages, and COVID-19 grid assessments indicated the electricity system was largely safe from pandemic impacts. Noteworthy major events include:

  • Hurricane Ian in September 2022, leaving over 2.6 million Floridian customers without electricity, with restoration in some areas taking weeks rather than days.
  • Hurricane Nicole in November 2022, causing over 300,000 Florida customers to lose power.
  • Winter Storm Elliott in December 2022, affecting over 1.5 million customers in multiple states including Texas where utilities struggled after Hurricane Harvey to restore service, and Florida, and bringing up to four feet of snow in parts of New York.

In 2022, states like Florida, West Virginia, Maine, Vermont, and New Hampshire experienced the most prolonged power interruptions, with New Hampshire averaging 10.3 hours and Florida 19.1 hours, and FPL's Irma storm response illustrates how restoration can take days or weeks in severe cases. Conversely, the District of Columbia, Delaware, Rhode Island, Nebraska, and Iowa had the shortest total interruptions, with the District of Columbia averaging just 34 minutes and Iowa 85 minutes.

The frequency of outages, unlike their duration, is more often linked to non-major events. Across the nation, Alaska recorded the highest number of power disruptions per customer (averaging 3.5), followed by several heavily forested states like Tennessee and Maine. Power outages due to falling tree branches are common, particularly during winter storms that burden tree limbs and power lines, as seen in a North Seattle outage affecting 13,000 customers. The District of Columbia stood out with the shortest and fewest outages per customer.

 

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Louisiana power grid needs 'complete rebuild' after Hurricane Laura, restoration to take weeks

Louisiana Grid Rebuild After Hurricane Laura will overhaul transmission lines and distribution networks in Lake Charles, as Entergy restores power after catastrophic outages, replacing poles, transformers, and spans to stabilize critical electric infrastructure.

 

Key Points

Entergy's project replacing transmission and distribution in Lake Charles to restore power after the Cat 4 storm

✅ 1,000+ transmission structures and 6,637 poles damaged

✅ Entergy targets first energized line into Lake Charles in 2 weeks

✅ Full rebuild of Calcasieu and Cameron lines will take weeks

 

The main power utility for southwest Louisiana will need to "rebuild" the region's grid after Hurricane Laura blasted the region with 150 mph winds last week, top officials said.

The Category 4 hurricane made landfall last Thursday just south of Lake Charles near Cameron, damaging or destroying thousands of electric poles as well as leaving "catastrophic damages" to the transmission system for southwest Louisiana, similar to impacts seen during Typhoon Mangkhut outages in Hong Kong that left many without electricity.

“This is not a restoration," Entergy Louisiana president and CEO Phillip May said in a statement. "It’s almost a complete rebuild of our transmission and distribution system that serves Calcasieu and Cameron parishes.”

According to Entergy, all nine transmission lines that deliver power into the Lake Charles area are currently out service due to storm damage to multiple structures and spans of wire.

The transmission system is a critical component in the delivery of power to customers’ homes, and failures at substations can trigger large outages, as seen in Los Angeles station fire outage reported recently, according to the company.

Of those structures impacted, many were damaged "beyond repair" and require complete replacement.

Broken electrical poles are seen in Holly Beach, La., in the aftermath of Hurricane Laura, Saturday, Aug. 29, 2020. (AP Photo/Gerald Herbert)

Entergy said the damage in southwest Louisiana includes 1,000 transmission structures, 6,637 broken poles, 2,926 transformers and 338 miles of downed distribution wire, highlighting why proactive reliability investments in Hamilton are being pursued by other utilities.

Some 8,300 workers are now in the area working to rebuild the transmission lines, but Entergy said that it will be about two to three weeks before power is available to customers in the Lake Charles area, a timeline similar to Tennessee outages after severe storms reported recently in other states.

"Restoring power will take longer to customers in inaccessible areas of the region," the company said. "While not impacting the expected restoration of service to residential customers, initial estimates are it will take weeks to rebuild all transmission lines in Calcasieu and Cameron parishes."

Entergy Louisiana expects to energize the first of its transmission lines into Lake Charles in two weeks.

“We understand going without power for this extended period will be challenging, and this is not the news customers want to hear. But we have thousands of workers dedicated to rebuilding our grid as quickly as they safely can to return some normalcy to our customers’ lives,” May said.

According to power outage tracking website poweroutage.us, over 164,000 customers remain without service in Louisiana as of Thursday morning, while a Carolinas outage update shows hundreds of thousands affected there as well.

On Wednesday, the Edison Electric Institute, the association of investor-owned electric companies in the U.S., said in a statement to FOX Business that electricity has been restored to approximately 737,000 customers, or 75% of those impacted by the storm across Louisiana, eastern Texas, Mississippi, and Arkansas, even as utilities adapt to climate change to improve resilience.

At least 29,000 workers from 29 states, the District of Columbia and Canada are working to restore power in the region, according to the Electricity Subsector Coordinating Council (ESCC), which is coordinating efforts from government and power industry.

“The transmission loss in Louisiana is significant, with more than 1,000 transmission structures damaged or destroyed by the storm," Department of Energy (DOE) Deputy Secretary Mark Menezes said in a statement. Rebuilding the transmission system is essential to the overall restoration effort and will take weeks given the massive scale and complexity of the work. We will continue to coordinate closely to ensure the full capabilities of the industry and government are marshaled to rebuild this critical infrastructure as quickly as possible.” 

At least 17 deaths in Louisiana have been attributed to the storm; more than half of those killed by carbon monoxide poisoning from the unsafe operation of generators, and residents are urged to follow generator safety tips to reduce these risks. Two additional deaths were verified on Wednesday in Beauregard Parish, which health officials said were due to heat-related illness following the storm.

 

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Russia suspected as hackers breach systems at power plants across US

US Power Grid Cyberattacks target utilities and nuclear plants, probing SCADA, ICS, and business networks at sites like Wolf Creek; suspected Russian actors, malware, and spear-phishing trigger DHS and FBI alerts on critical infrastructure resilience.

 

Key Points

Intrusions on energy networks probing ICS and SCADA, seeking persistence and elevating risks to critical infrastructure.

✅ Wolf Creek nuclear plant targeted; no operational systems breached

✅ Attackers leveraged stolen credentials, malware, and spear-phishing

✅ DHS and FBI issued alerts; utilities enhance cyber resilience

 

Hackers working for a foreign government recently breached at least a dozen US power plants, including the Wolf Creek nuclear facility in Kansas, according to current and former US officials, sparking concerns the attackers were searching for vulnerabilities in the electrical grid.

The rivals could be positioning themselves to eventually disrupt the nation’s power supply, warned the officials, who noted that a general alert, prompting a renewed focus on protecting the U.S. power grid, was distributed to utilities a week ago. Adding to those concerns, hackers recently infiltrated an unidentified company that makes control systems for equipment used in the power industry, an attack that officials believe may be related.

The chief suspect is Russia, according to three people familiar with the continuing effort to eject the hackers from the computer networks. One of those networks belongs to an ageing nuclear generating facility known as Wolf Creek -- owned by Westar Energy Inc, Great Plains Energy Inc, and Kansas Electric Power Cooperative Inc -- on a lake shore near Burlington, Kansas.

The possibility of a Russia connection is particularly worrying, former and current official s say, because Russian hackers have previously taken down parts of the electrical grid in Ukraine and appear to be testing increasingly advanced tools, including cyber weapons to disrupt power grids, to disrupt power supplies.

The hacks come as international tensions have flared over US intelligence agencies’ conclusion that Russia tried to influence the 2016 presidential election, and amid U.S. government condemnation of Russian power-grid hacking in recent advisories. The US, which has several continuing investigations into Russia’s activities, is known to possess digital weapons capable of disrupting the electricity grids of rival nations.

“We don’t pay attention to such anonymous fakes,” Kremlin spokesman Dmitry Peskov said, in response to a request to comment on alleged Russian involvement.

It was unclear whether President Donald Trump was planning to address the cyber attacks at his meeting on Friday with Russian President Vladimir Putin. In an earlier speech in Warsaw, Trump called out Russia’s “destabilising activities” and urged the country to join “the community of responsible nations.”

The Department of Homeland Security and Federal Bureau of Investigation said they are aware of a potential intrusion in the energy sector. The alert issued to utilities cited activities by hackers since May.

“There is no indication of a threat to public safety, as any potential impact appears to be limited to administrative and business networks,” the government agencies said in a joint statement.

The Department of Energy also said the impact appears limited to administrative and business networks and said it was working with utilities and grid operators to enhance security and resilience.

“Regardless of whether malicious actors attempt to exploit business networks or operational systems, we take any reports of malicious cyber activity potentially targeting our nation’s energy infrastructure seriously and respond accordingly,” the department said in an emailed statement.

Representatives of the National Security Council, the Director of National Intelligence and the Nuclear Regulatory Commission declined to comment. While Bloomberg News was waiting for responses from the government, the New York Times reported that hacks were targeting nuclear power stations.

The North American Electric Reliability Corp, a nonprofit that works to ensure the reliability of the continent’s power system, said it was aware of the incident and was exchanging information with the industry through a secure portal.

“At this time, there has been no bulk power system impact in North America,” the corporation said in an emailed statement.

In addition, the operational controls at Wolf Creek were not pierced, according to government officials, even as attackers accessed utility control rooms elsewhere in the U.S., according to separate reports. “There was absolutely no operational impact to Wolf Creek,” Jenny Hageman, a spokeswoman for the nuclear plant, said in a statement to Bloomberg News.

“The reason that is true is because the operational computer systems are completely separate from the corporate network.”

Determining who is behind an attack can be tricky. Government officials look at the sophistication of the tools, among other key markers, when gauging whether a foreign government is sponsoring cyber activities.

Several private security firms, including Symantec researchers, are studying data on the attacks, but none has linked the work to a particular hacking team or country.

“We don’t tie this to any known group at this point,” said Sean McBride, a lead analyst for FireEye Inc, a global cyber security firm. “It’s not to say it’s not related, but we don’t have the evidence at this point.”

US intelligence officials have long been concerned about the security of the country’s electrical grid. The recent attack, striking almost simultaneously at multiple locations, is testing the government’s ability to coordinate an effective response among several private utilities, state and local officials, and industry regulators.

Specialised teams from Homeland Security and the FBI have been scrambled to help extricate the hackers from the power stations, in some cases without informing local and state officials. Meanwhile, the US National Security Agency is working to confirm the identity of the hackers, who are said to be using computer servers in Germany, Italy, Malaysia and Turkey to cover their tracks.

Many of the power plants are conventional, but the targeting of a nuclear facility adds to the pressure. While the core of a nuclear generator is heavily protected, a sudden shutdown of the turbine can trigger safety systems. These safety devices are designed to disperse excess heat while the nuclear reaction is halted, but the safety systems themselves may be vulnerable to attack.

Homeland Security and the FBI sent out a general warning about the cyber attack to utilities and related parties on June 28, though it contained few details or the number of plants affected. The government said it was most concerned about the “persistence” of the attacks on choke points of the US power supply. That language suggests hackers are trying to establish backdoors on the plants’ systems for later use, according to a former senior DHS official who asked not to be identified.

Those backdoors can be used to insert software specifically designed to penetrate a facility’s operational controls and disrupt critical systems, according to Galina Antova, co-founder of Claroty, a New York firm that specialises in securing industrial control systems.

“We’re moving to a point where a major attack like this is very, very possible,” Antova said. “Once you’re into the control systems -- and you can get into the control systems by hacking into the plant’s regular computer network -- then the basic security mechanisms you’d expect are simply not there.”

The situation is a little different at nuclear facilities. Backup power supplies and other safeguards at nuclear sites are meant to ensure that “you can’t really cause a nuclear plant to melt down just by taking out the secondary systems that are connected to the grid,” Edwin Lyman, a nuclear expert with the Union of Concerned Scientists, said in a phone interview.

The operating systems at nuclear plants also tend to be legacy controls built decades ago and don’t have digital control systems that can be exploited by hackers. Wolf Creek, for example, began operations in 1985. “They’re relatively impervious to that kind of attack,” Lyman said.

The alert sent out last week inadvertently identified Wolf Creek as one of the victims of the attack. An analysis of one of the tools used by the hackers had the stolen credentials of a plant employee, a senior engineer. A US official acknowledged the error was not caught until after the alert was distributed.

According to a security researcher who has seen the report, the malware that activated the engineer’s username and password was designed to be used once the hackers were already inside the plant’s computer systems.

The tool tries to connect to non-public computers, and may have been intended to identify systems related to Wolf Creek’s generation plant, a part of the facility typically more modern than the nuclear reactor control room, according to a security expert who asked to note be identified because the alert is not public.

Even if there is no indication that the hackers gained access to those control systems, the design of the malware suggests they may have at least been looking for ways to do so, the expert said.

Stan Luke, the mayor of Burlington, the largest community near Wolf Creek, which is surrounded by corn fields and cattle pastures, said he learned about a cyber threat at the plant only recently, and then only through golfing buddies.

With a population of just 2,700, Burlington boasts a community pool with three water slides and a high school football stadium that would be the envy of any junior college. Luke said those amenities lead back to the tax dollars poured into the community by Wolf Creek, Coffey County’s largest employer with some 1,000 workers, 600 of whom live in the county.

E&E News first reported on digital attacks targeting US nuclear plants, adding it was code-named Nuclear 17. A senior US official told Bloomberg that there was a bigger breach of conventional plants, which could affect multiple regions.

Industry experts and US officials say the attack is being taken seriously, in part because of recent events in Ukraine. Antova said that the Ukrainian power grid has been disrupted at least twice, first in 2015, and then in a more automated attack last year, suggesting the hackers are testing methods.

Scott Aaronson, executive director for security and business continuity at the Edison Electric Institute, an industry trade group, said utilities, grid operators and federal officials were already dissecting the attack on Ukraine’s electric sector to apply lessons in North America before the US government issued the latest warning to “energy and critical manufacturing sectors”. The current threat is unrelated to recently publicised ransomware incidents or the CrashOverride malware, Mr Aaronson said in an emailed statement.

Neither attack in Ukraine caused long-term damage. But with each escalation, the hackers may be gauging the world’s willingness to push back.

“If you think about a typical war, some of the acts that have been taken against critical infrastructure in Ukraine and even in the US, those would be considered crossing red lines,” Antova said.

 

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Tackling climate change with machine learning: Covid-19 and the energy transition

Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

 

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

 

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

 

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

 

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

 

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

 

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

 

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Alberta set to retire coal power by 2023, ahead of 2030 provincial deadline

Alberta coal phaseout accelerates as utilities convert to natural gas, cutting emissions under TIER regulations and deploying hydrogen-ready, carbon capture capable plants, alongside new solar projects in a competitive, deregulated electricity market.

 

Key Points

A provincewide shift from coal to natural gas and renewables, cutting power emissions years ahead of the 2030 target.

✅ Capital Power, TransAlta converting coal units to gas

✅ TIER pricing drives efficiency, carbon capture readiness

✅ Hydrogen-ready turbines, solar projects boost renewables

 

Alberta is set to meet its goal to eliminate coal-fired electricity production years earlier than its 2030 target, amid a broader shift to cleaner energy in the province, thanks to recently announced utility conversion projects.

Capital Power Corp.’s plan to spend nearly $1 billion to switch two coal-fired power units west of Edmonton to natural gas, and stop using coal entirely by 2023, was welcomed by both the province and the Pembina Institute environmental think-tank.

In 2014, 55 per cent of Alberta’s electricity was produced from 18 coal-fired generators. The Alberta government announced in 2015 it would eliminate emissions from coal-fired electricity generation by 2030.

Dale Nally, associate minister of Natural Gas and Electricity, said Friday that decisions by Capital Power and other utilities to abandon coal will be good for the environment and demonstrates investor confidence in Alberta’s deregulated electricity market, where the power price cap has come under scrutiny.

He credited the government’s Technology Innovation and Emissions Reduction (TIER) regulations, which put a price on industrial greenhouse gas emissions, as a key factor in motivating the conversions.

“Capital Power’s transition to gas is a great example of how private industry is responding effectively to TIER, as it transitions these facilities to become carbon capture and hydrogen ready, which will drive future emissions reductions,” Nally said in an email.

Capital Power said direct carbon dioxide emissions at its Genesee power facility near Edmonton will be about 3.4 million tonnes per year lower than 2019 emission levels when the project is complete.

It says the natural gas combined cycle units it’s installing will be the most efficient in Canada, adding they will be capable of running on 30 per cent hydrogen initially, with the option to run on 95 per cent hydrogen in future with minor investments.

In November, Calgary-based TransAlta Corp. said it will end operations at its Highvale thermal coal mine west of Edmonton by the end of 2021 as it switches to natural gas at all of its operated coal-fired plants in Canada four years earlier than previously planned.

The Highvale surface coal mine is the largest in Canada, and has been in operation on the south shore of Wabamun Lake in Parkland County since 1970.

The moves by the two utilities and rival Atco Ltd., which announced three years ago it would convert to gas at all of its plants by this year, mean significant emissions reduction and better health for Albertans, said Binnu Jeyakumar, director of clean energy for Pembina.

“Alberta’s early coal phaseout is also a great lesson in good policy-making done in collaboration with industry and civil society,” she said.

“As we continue with this transformation of our electricity sector, it is paramount that efforts to support impacted workers and communities are undertaken.”

She added the growing cost-competitiveness of renewable energy, such as wind power, makes coal plant retirements possible, applauding Capital Power’s plans to increase its investments in solar power.

In Ontario, clean power policy remains a focus as the province evaluates its energy mix.

The company announced it would go ahead with its 75-megawatt Enchant Solar power project in southern Alberta, investing between $90 million and $100 million, and that it has signed a 25-year power purchase agreement with a Canadian company for its 40.5-MW Strathmore Solar project now under construction east of Calgary.
 

 

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