Charged up for a transmission overhaul

Bright Feeds Solar Upgrade integrates a 300-kW DC PV system and 625 solar panels at the Berlin, CT plant, supplying one-third of power, cutting carbon emissions, and advancing clean, renewable energy in agriculture.

Key Points

An initiative powering Bright Feeds' Berlin plant with a 300-kW DC PV array, reducing costs and carbon emissions.

✅ 300-kW DC PV with 625 panels by Solect Energy

✅ Supplies ~33% of facility power; lowers operating costs

✅ Offsets 2,100+ tons CO2e; advances clean, sustainable agriculture

Bright Feeds, a New England-based startup, has successfully transitioned its Berlin, Connecticut, animal feed production facility to solar energy. The company installed a 300-kilowatt direct current (DC) solar photovoltaic (PV) system at its 25,000-square-foot plant, mirroring progress seen at projects like the Arvato solar plant in advancing onsite generation. This move aligns with Bright Feeds' commitment to sustainability and reducing its carbon footprint.

Solar Installation Details

The solar system comprises 625 solar panels and was developed and installed by Solect Energy, a Massachusetts-based company, reflecting momentum as projects like Building Energy's launch come online nationwide. Over its lifetime, the system is projected to offset more than 2,100 tons of carbon emissions, contributing significantly to the company's environmental goals. This initiative not only reduces energy expenses but also supports Bright Feeds' mission to promote clean energy solutions in the agricultural sector. 

Bright Feeds' Sustainable Operations

At its Berlin facility, Bright Feeds employs advanced artificial intelligence and drying technology to transform surplus food into an all-natural, nutrient-rich alternative to soy and corn in animal feed, complementing emerging agrivoltaics approaches that pair energy with agriculture. The company supplies its innovative feed product to a broad range of customers across the Northeast, including animal feed distributors and dairy farms. By processing food that would otherwise go to waste, the facility diverts tens of thousands of tons of food from the regional waste stream each year. When operating at full capacity, the environmental benefit of the plant’s process is comparable to taking more than 33,000 cars off the road annually.

Industry Impact

Bright Feeds' adoption of solar energy sets a precedent for sustainability in the agricultural sector. The integration of renewable energy sources into production processes not only reduces operational costs but also demonstrates a commitment to environmental stewardship, amid rising European demand for U.S. solar equipment that underscores market momentum. As the demand for sustainable practices grows, and as rural clean energy delivers measurable benefits, other companies in the industry may look to Bright Feeds as a model for integrating clean energy solutions into their operations.

Bright Feeds' initiative to power its Berlin facility with solar energy underscores the company's dedication to sustainability and innovation. By harnessing the power of the sun, Bright Feeds is not only reducing its carbon footprint but also contributing to a cleaner, more sustainable future for the agricultural industry, and when paired with solar batteries can further enhance resilience. This move serves as an example for other companies seeking to align their operations with environmental responsibility and renewable energy adoption, as new milestones like a U.S. clean energy factory signal expanding capacity across the sector.

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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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Alberta Power Grid Level 2 Alert signals AESO reserve power usage, load management, supply shortage from generator outages, low wind, and limited imports, urging peak demand conservation to avoid blackouts and preserve grid reliability.

Key Points

An AESO status where reserves power the grid and load management is used during supply constraints to prevent blackouts.

✅ Triggered by outages, low wind, and reduced import capacity

✅ Peak hours 4 to 7 pm saw conservation requests

✅ Several hundred MW margin from Level 3 load shedding

Alberta's energy grid ran on reserves Wednesday, after multiple factors led to a supply shortage, a scenario explored in U.S. grid COVID response discussions as operators plan for contingencies.

At 3:52 p.m. Wednesday, the Alberta Electric System Operator issued a Level 2 alert, meaning that reserves were being used to supply energy requirements and that load management procedures had been implemented, while operators elsewhere adopted Ontario power staffing lockdown measures during COVID-19 for continuity. The alert ended at 6:06 p.m.

"This is due to unplanned generator outages, low wind and a reduction of import capability," the agency said in a post to social media. "Supply is tight but still meeting demand."

AESO spokesperson Mike Deising said the intertie with Saskatchewan had tripped off, and an issue on the British Columbia side of the border, as seen during BC Hydro storm response events, meant the province couldn't import power. 

"There are no blackouts … this just means we're using our reserve power, and that's a standard procedure we'll deploy," he said. 

AESO had asked that people reduce their energy consumption between 4 and 7 p.m., similar to Cal ISO conservation calls during grid strain, which is typically when peak use occurs. 

Deising said the system was several hundred MWs away from needing to move to an alert Level 3, with utilities such as FortisAlberta precautions in place to support continuity, which is when power is cut off to some customers in order to keep the system operating. Deising said Level 2 alerts are fairly rare and occur every few years. The last Level 3 alert was in 2013. 

According to the supply and demand report on AESO's website, the load on the grid at 5 p.m. was 10,643 MW.

That's down significantly from last week, when a heat wave pushed demand to record highs on the grid, with loads in the 11,700 MW range, contrasting with Ontario demand drop during COVID when many stayed home. 

A heat warning was issued Wednesday for Edmonton and surrounding areas shortly before 4 p.m., with temperatures above 29 C expected over the next three days, with many households seeing residential electricity use up during such periods. 

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UK Nuclear Energy Ten Point Plan outlines support for large reactors, SMRs, and AMRs, funding Sizewell C, hydrogen production, and industrial heat to reach net zero, decarbonize transport and heating, and expand clean electricity capacity.

Key Points

A UK plan backing large, small, and advanced reactors to drive net zero via clean power, hydrogen, and industrial heat.

✅ Funds large plants (e.g., Sizewell C) under value-for-money models

✅ Invests in SMRs for factory-built, modular, lower-cost deployment

✅ Backs AMRs for high-temperature heat, hydrogen, and industry

The UK government has just announced its “Ten Point Plan for a Green Industrial Revolution”, in which it lays out a vision for the future of energy, transport and nature in the UK. As researchers into nuclear energy, my colleagues and I were pleased to see the plan is rather favourable to new nuclear power.

It follows the advice from the UK’s Nuclear Innovation and Research Advisory Board, pledging to pursue large power plants based on current technology, and following that up with financial support for two further waves of reactor technology (“small” and “advanced” modular reactors).

This support is an important part of the plan to reach net-zero emissions by 2050, as in the years to come nuclear power will be crucial to decarbonising not just the electricity supply but the whole of society.

This chart helps illustrate the extent of the challenge faced:

Electricity generation is only responsible for a small percentage of UK emissions. William Bodel. Data: UK Climate Change Committee

Efforts to reduce emissions have so far only partially decarbonised the electricity generation sector. Reaching net zero will require immense effort to also decarbonise heating, transport, as well as shipping and aviation. The plan proposes investment in hydrogen production and electric vehicles to address these three areas – which will require, as advocates of nuclear beyond electricity argue, a lot more energy generation.

Nuclear is well-placed to provide a proportion of this energy. Reaching net zero will be a huge challenge, and industry leaders warn it may be unachievable without nuclear energy. So here’s what the announcement means for the three “waves” of nuclear power.

Who will pay for it?
But first a word on financing. To understand the strategy, it is important to realise that the reason there has been so little new activity in the UK’s nuclear sector since the 1990s is due to difficulty in financing. Nuclear plants are cheap to fuel and operate and last for a long time. In theory, this offsets the enormous upfront capital cost, and results in competitively priced electricity overall.

But ever since the electricity sector was privatised, governments have been averse to spending public money on power plants. This, combined with resulting higher borrowing costs and cheaper alternatives (gas power), has meant that in practice nuclear has been sidelined for two decades. While climate change offers an opportunity for a revival, these financial concerns remain.

Large nuclear
Hinkley Point C is a large nuclear station currently under construction in Somerset, England. The project is well-advanced, with its first reactor installed and due to come online in the middle of this decade. While the plant will provide around 7% of current UK electricity demand, its agreed electricity price is relatively expensive.

Under construction: Hinkley Point C. Ben Birchall/PA

The government’s new plan states: “We are pursuing large-scale new nuclear projects, subject to value-for-money.” This is likely a reference to the proposed Sizewell C in Suffolk, on which a final decision is expected soon. Sizewell C would be a copy of the Hinkley plant – building follow-up identical reactors achieves capital cost reductions, and setbacks at Hinkley Point C have sharpened delivery focus as an alternative funding model will likely be implemented to reduce financing costs.

Other potential nuclear sites such as Wylfa and Moorside (shelved in 2018 and 2019 respectively for financial reasons) are also not mentioned, their futures presumably also covered by the “subject to value-for-money” clause.

Small nuclear
The next generation of nuclear technology, with various designs under development worldwide are smaller, cheaper, safer Small Modular Reactors (SMRs), such as the Rolls Royce “UK SMR”.

Reactors small enough to be manufactured in factories and delivered as modules can be assembled on site in much shorter times than larger designs, which in contrast are constructed mostly on site. In so doing, the capital costs per unit (and therefore borrowing costs) could be significantly lower than current new-builds.

The plan states “up to £215 million” will be made available for SMRs, Phase 2 of which will begin next year, with anticipated delivery of units around a decade from now.

Advanced nuclear
The third proposed wave of nuclear will be the Advanced Modular Reactors (AMRs). These are truly innovative technologies, with a wide range of benefits over present designs and, like the small reactors, they are modular to keep prices down.

Crucially, advanced reactors operate at much higher temperatures – some promise in excess of 750°C compared to around 300°C in current reactors. This is important as that heat can be used in industrial processes which require high temperatures, such as ceramics, which they currently get through electrical heating or by directly burning fossil fuels. If those ceramics factories could instead use heat from AMRs placed nearby, it would reduce CO₂ emissions from industry (see chart above).

High temperatures can also be used to generate hydrogen, which the government’s plan recognises has the potential to replace natural gas in heating and eventually also in pioneering zero-emission vehicles, ships and aircraft. Most hydrogen is produced from natural gas, with the downside of generating CO₂ in the process. A carbon-free alternative involves splitting water using electricity (electrolysis), though this is rather inefficient. More efficient methods which require high temperatures are yet to achieve commercialisation, however if realised, this would make high temperature nuclear particularly useful.

The government is committing “up to £170 million” for AMR research, and specifies a target for a demonstrator plant by the early 2030s. The most promising candidate is likely a High Temperature Gas-cooled Reactor which is possible, if ambitious, over this timescale. The Chinese currently lead the way with this technology, and their version of this reactor concept is expected soon.

In summary, the plan is welcome news for the nuclear sector, even as Europe loses nuclear capacity across the continent. While it lacks some specifics, these may be detailed in the government’s upcoming Energy White Paper. The advice to government has been acknowledged, and the sums of money mentioned throughout are significant enough to really get started on the necessary research and development.

Achieving net zero is a vast undertaking, and recognising that nuclear can make a substantial contribution if properly supported is an important step towards hitting that target.

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Pickering Nuclear Alert Error prompts Ontario investigation into the Alert Ready emergency alert system, Pelmorex safeguards, and public response at Pickering Nuclear Generating Station, including potassium iodide orders and geo-targeted notification issues.

Key Points

A mistaken Ontario emergency alert about the Pickering plant, now under probe for human error and system safeguards.

✅ Investigation led by Emergency Management Ontario

✅ Alert Ready and Pelmorex safeguards under review

✅ KI pill demand surged; geo-targeting questioned

A number of questions still remain a week after an emergency alert was mistakenly sent out to people across Ontario warning of an unspecified incident at the Pickering Nuclear Generating Station. 

The province’s solicitor general has stepped in and says an investigation into the incident should be completed fairly quickly according to the minister.

However, the nuclear scare has still left residents on edge with tens of thousands of people ordering potassium iodide, or KI, pills that protect the body from radioactive elements in the days following the incident.

Here’s what we know and still don’t know about the mistaken Pickering nuclear plant alert:

Who sent the alert?

According to the Alert Ready Emergency Alert System website, the agency works with several federal, provincial and territorial emergency management officials, Environment and Climate Change Canada and Pelmorex, a broadcasting industry and wireless service provider, to send the alerts.

Martin Belanger, the director of public alerting for Pelmorex, a company that operates the alert system, said there are a number of safeguards built in, including having two separate platforms for training and live alerts.

"The software has some steps and some features built in to minimize that risk and to make sure that users will be able to know whether or not they're sending an alert through the... training platform or whether they're accessing the live system in the case of a real emergency," he said.

Only authorized users have access to the system and the province manages that, Belanger said. Once in the live system, features make the user aware of which platform they are using, with various prompts and messages requiring the user's confirmation. There is a final step that also requires the user to confirm their intent of issuing an alert to cellphones, radio and TVs, Belanger said.

Last Sunday, a follow-up alert was sent to cellphones nearly two hours after the original notification, and during separate service disruptions such as a power outage in London residents also sought timely information.

What has the investigation revealed?

It’s still unclear as to how exactly the alert was sent in error, but Solicitor General Sylvia Jones has tapped the Chief of Emergency Management Ontario to investigate.

"It's very important for me, for the people of Ontario, to know exactly what happened on Sunday morning," Jones said.

Jones said initial observations suggest human error was responsible for the alert that was sent out during routine tests of the emergency alert.

“I want to know what happened and equally important, I want some recommendations on insurances and changes we can make to the system to make sure it doesn't happen again,” Jones said.

Jones said she expects the results of the probe to be made public.

Can you unsubscribe from emergency alerts?

It’s not possible to opt out of receiving the alerts, according to the Alert Ready Emergency Alert System website, and Ontario utilities warn about scams to help customers distinguish official notices.

“Given the importance of warning Canadians of imminent threats to the safety of life and property, the CRTC requires wireless service providers to distribute alerts on all compatible wireless devices connected to an LTE network in the target area,” the website reads.

The agency explains that unlike radio and TV broadcasting, the wireless public alerting system is geo-targeted and is specific to the a “limited area of coverage”, and examples like an Alberta grid alert have highlighted how jurisdictions tailor notices for their systems.

“As a result, if an emergency alert reaches your wireless device, you are located in an area where there is an imminent danger.”

The Pickering alert, however, was received by people from as far as Ottawa to Windsor.

Is the Pickering Nuclear Generating Station closing?

The Pickering nuclear plant has been operating since 1971, and had been scheduled to be decommissioned this year, but the former Liberal government -- and the current Progressive Conservative government -- committed to keeping it open until 2024. Decommissioning is now set to start in 2028.

It operates six CANDU reactors, and in contingency planning operators have considered locking down key staff to maintain reliability, generates 14 per cent of Ontario's electricity and is responsible for 4,500 jobs across the region, according to OPG, while utilities such as Hydro One's relief programs have supported customers during broader crises.

What should I do if I receive an emergency alert?

Alert Ready says that if you received an alert on your wireless device it’s important to take action “safely”.

“Stop what you are doing when it is safe to do so and read the emergency alert,” the agency says on their website.

“Alerting authorities will include within the emergency alert the information you need and guidance for any action you are required to take, and insights from U.S. grid pandemic response underscore how critical infrastructure plans intersect with public safety.”

“This could include but is not limited to: limit unnecessary travel, evacuate the areas, seek shelter, etc.”

The wording of last Sunday's alert caused much initial confusion, warning residents within 10 kilometres of the plant of "an incident," though there was no "abnormal" release of radioactivity and residents didn't need to take protective steps, but emergency crews were responding.

“In the event of a real emergency, the wording would be different,” Jones said.

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Hurricane Grid Resilience examines how utilities manage outages with renewables, microgrids, and robust transmission and distribution systems, balancing solar, wind, and batteries to restore service, harden infrastructure, and improve storm response and recovery.

Key Points

Hurricane grid resilience is a utility approach to withstand storms, reduce outages, and speed safe power restoration.

✅ Focus on T&D hardening, vegetation management, remote switching

✅ Balance generation mix; integrate solar, wind, batteries, microgrids

✅ Plan 12-hour shifts; automate forecasting and outage restoration

When operators of Duke Energy's control room in Raleigh, North Carolina wait for a hurricane, the mood is often calm in the hours leading up to the storm.

“Things are usually fairly quiet before the activity starts,” said Mark Goettsch, the systems operations manager at Duke. “We’re anxiously awaiting the first operation and the first event. Once that begins, you get into storm mode.”

Then begins a “frenzied pace” that can last for days — like when Hurricane Florence parked over Duke’s service territory in September.

When an event like Florence hits, all eyes are on transmission and distribution. Where it’s available, Duke uses remote switching to reconnect customers quickly. As outages mount, the utility forecasts and balances its generation with electricity demand.

The control center’s four to six operators work 12-hour shifts, while nearby staff members field thousands of calls and alarms on the system. After it’s over, “we still hold our breath a little bit to make sure we’ve operated everything correctly,” said Goettsch. Damage assessment and rebuilding can only begin once a storm passes.

That cycle is becoming increasingly common in utility service areas like Duke's.

A slate of natural disasters that reads like a roll call — Willa, Michael, Harvey, Irma, Maria, Florence and Thomas — has forced a serious conversation about resiliency. And though Goettsch has heard a lot about resiliency as a “hot topic” at industry events and meetings, those conversations are only now entering Duke’s control room.

Resilience discussions come and go in the energy industry. Storms like Hurricane Sandy and Matthew can spur a nationwide focus on resiliency, but change is largely concentrated in local areas that experienced the disaster. After a few news cycles, the topic fades into the background.

However, experts agree that resilience is becoming much more important to year-round utility planning and operations as utilities pursue decarbonization goals across their fleets. It's not a fad.

“If you look at the whole ecosystem of utilities and vendors, there’s a sense that there needs to be a more resilient grid,” said Miki Deric, Accenture’s managing director of utilities, transmission and distribution for North America. “Even if they don’t necessarily agree on everything, they are all working with the same objective.”

Can renewables meet the challenge?

After Hurricane Florence, The Intercept reported on coal ash basins washed out by the storm’s overwhelming waters. In advance of that storm, Duke shut down one nuclear plant to protect it from high winds. The Washington Post also recently reported on a slowly leaking oil spill, which could surpass Deepwater Horizon in size, caused by Hurricane Ivan in 2004.

Clean energy boosters have seized on those vulnerabilities.They say solar and wind, which don’t rely on access to fuel and can often generate power immediately after a storm, provide resilience that other electricity sources do not.

“Clearly, logistics becomes a big issue on fossil plants, much more than renewable,” said Bruce Levy, CEO and president at BMR Energy, which owns and operates clean energy projects in the Caribbean and Latin America. “The ancillaries around it — the fuel delivery, fuel storage, water in, water out — are all as susceptible to damage as a renewable plant.”

Duke, however, dismissed the notion that one generation type could beat out another in a serious storm.

“I don’t think any generation source is immune,” said Duke spokesperson Randy Wheeless. “We’ve always been a big supporter of a balanced energy mix, reflecting why the grid isn't 100% renewable in practice today. That’s going to include nuclear and natural gas and solar and renewables as well. We do that because not every day is a good day for each generation source.”

In regard to performance, Wade Schauer, director of Americas Power & Renewables Research at Wood Mackenzie, said the situation is “complex.” According to him, output of solar and wind during a storm depends heavily on the event and its location.

While comprehensive data on generation performance is sparse, Schauer said coal and gas generators could experience outages at 25 percent while stormy weather might cut 95 percent of output from renewables, underscoring clean energy's dirty secret about variability under stress. Ahead of last year’s “bomb cyclone” in New England, WoodMac data shows that wind dropped to less than 1 percent of the supply mix.

“When it comes to resiliency, ‘average performance’ doesn't cut it,” said Schauer.

In the future, he said high winds could impact all U.S. offshore wind farms, since projects are slated for a small geographic area in the Northeast. He also pointed to anecdotal instances of solar arrays in New England taken out by feet of snow. During Florence, North Carolina’s wind farms escaped the highest winds and continued producing electricity throughout. Cloud cover, on the other hand, pushed solar production below average levels.

After Florence passed, Duke reported that most of its solar came online quickly, although four of its utility-owned facilities remained offline for weeks afterward. Only one was because of damage; the other three remained offline due to substation interconnection issues.

“Solar performed pretty well,” said Wheeless. “But did it come out unscathed? No.”

According to installer reports, solar systems fared relatively well in recent storms, even as the Covid-19 impact on renewables constrained projects worldwide. But the industry has also highlighted potential improvements. Following Hurricanes Maria and Irma, the Federal Emergency Management Agency published guidelines for installing and maintaining storm-resistant solar arrays. The document recommended steps such as annual checks for bolt tightness and using microinverters rather than string inverters.

Rocky Mountain Institute (RMI) also assembled a guide for retrofitting and constructing new installations. It described attributes of solar systems that survived storms, like lateral racking supports, and those that failed, like undersized and under-torqued bolts.

“The hurricanes, as much as no one liked them, [were] a real learning experience for folks in our industry,” said BMR’s Levy. “We saw what worked, and what didn’t.”          

Facing the "800-pound gorilla" on the grid

Advocates believe wind, solar, batteries and microgrids offer the most promise because they often rely less on transmitting electricity long distances and could support peer-to-peer energy models within communities.

Most extreme weather outages arise from transmission and distribution problems, not generation issues. Schauer at WoodMac called storm damage to T&D the “800-pound gorilla.”

“I'd be surprised if a single customer power outage was due to generators being offline, especially since loads where so low due to mild temperatures and people leaving the area ahead of the storm,” he said of Hurricane Florence. “Instead, it was wind [and] tree damage to power lines and blown transformers.”

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