UNFI goes green at Texas facility

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United Natural Foods Inc UNFI has extended its commitment to using renewable energy by purchasing 6,200 megawatt-hours of electricity and renewable energy from EcoElectrons Renewable Energy for its new Lancaster distribution facility.

This purchase is expected to reduce carbon emissions at the Lancaster facility by about 4,500 metric tons, the equivalent of nearly 10,400 barrels of oil, and complements UNFI's effort to obtain LEED Leadership in Energy and Environmental Design certification for the 590,000-square-foot facility. EcoElectrons Renewable Energy specializes in supplying green power to organizations through renewable energy credits.

The renewable energy purchased by UNFI is certified by Green-e Energy, which provides independent, third-party certification to ensure renewable energy meets strict environmental and consumer protection standards.

UNFI produces more than 2 million kilowatt-hours of clean energy annually through solar electric systems installed at its Rocklin, California and Dayville, Connecticut facilities. It also uses 100 green power in its Ridgefield, Washington distribution facility and is also member of the EPA's Green Power Partnership. This voluntary program encourages organizations to buy green power as a way to reduce the environmental impacts associated with purchased electricity use.

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Is nuclear power really in decline?

Nuclear Energy Growth accelerates as nations pursue decarbonization, complement renewables, displace coal, and ensure grid reliability with firm, low-carbon baseload, benefiting from standardized builds, lower cost of capital, and learning-curve cost reductions.

 

Key Points

Expansion of nuclear capacity to cut CO2, complement renewables, replace coal, and stabilize grids at low-carbon cost.

✅ Complements renewables; displaces coal for faster decarbonization

✅ Cuts system costs via standardization and lower cost of capital

✅ Provides firm, low-carbon baseload and grid reliability

 

By Kirill Komarov, Chairman, World Nuclear Association.

As Europe and the wider world begins to wake up to the need to cut emissions, Dr Kirill Komarov argues that tackling climate change will see the use of nuclear energy grow in the coming years, not as a competitor to renewables but as a competitor to coal.

The nuclear industry keeps making headlines and spurring debates on energy policy, including the green industrial revolution agenda in several countries. With each new build project, the detractors of nuclear power crowd the bandwagon to portray renewables as an easy and cheap alternative to ‘increasingly costly’ nuclear: if solar and wind are virtually free why bother splitting atoms?

Yet, paradoxically as it may seem, if we are serious about policy response to climate change, nuclear energy is seeing an atomic energy resurgence in the coming decade or two.

Growth has already started to pick up with about 3.1 GW new capacity added in the first half of 2018 in Russia and China while, at the very least, 4GW more to be completed by the end of the year – more than doubling the capacity additions in 2017.

In 2019 new connections to the grid would exceed 10GW by a significant margin.

If nuclear is in decline, why then do China, India, Russia and other countries keep building nuclear power plants?

To begin with, the issue of cost, argued by those opposed to nuclear, is in fact largely a bogus one, which does not make a fully rounded like for like comparison.

It is true that the latest generation reactors, especially those under construction in the US and Western Europe, have encountered significant construction delays and cost overruns.

But the main, and often the only, reason for that is the ‘first-of-a-kind’ nature of those projects.

If you build something for the first time, be it nuclear, wind or solar, it is expensive. Experience shows that with series build, standardised construction economies of scale and the learning curve from multiple projects, costs come down by around one-third; and this is exactly what is already happening in some parts of the world.

Furthermore, those first-of-a-kind projects were forced to be financed 100% privately and investors had to bear all political risks. It sent the cost of capital soaring, increasing at one stroke the final electricity price by about one third.

While, according to the International Energy Agency, at 3% cost of capital rate, nuclear is the cheapest source of energy: on average 1% increase adds about US$6-7 per MWh to the final price.

When it comes to solar and wind, the truth, inconvenient for those cherishing the fantasy of a world relying 100% on renewables, is that the ‘plummeting prices’ (which, by the way, haven’t changed much over the last three years, reaching a plateau) do not factor in so-called system and balancing costs associated with the need to smooth the intermittency of renewables.

Put simply, the fact the sun doesn’t shine at night and wind doesn’t blow all the time means wind and solar generation needs to be backed up.

According to a study by the Potsdam Institute for Climate Impact Research, integration of intermittent renewables into the grid is estimated in some cases to be as expensive as power generation itself.

Delivering the highest possible renewable content means customers’ bills will have to cover: renewable generation costs, energy storage solutions, major grid updates and interconnections investment, as well as gas or coal peaking power plants or ‘peakers’, which work only from time to time when needed to back up wind and solar.

The expected cost for kWh for peakers, according to investment bank Lazard is about twice that of conventional power plants due to much lower capacity factors.

Despite exceptionally low fossil fuel prices, peaking natural gas generation had an eye-watering cost of $156-210 per MWh in 2017 while electricity storage, replacing ‘peakers’, would imply an extra cost of $186-413 per MWh.

Burning fossil fuels is cheaper but comes with a great deal of environmental concern and extensive use of coal would make net-zero emissions targets all but unattainable.

So, contrary to some claims, nuclear does not compete with renewables. Moreover, a recent study by the MIT Energy Initiative showed, most convincingly, that renewables and load following advanced nuclear are complementary.

Nuclear competes with coal. Phasing out coal is crucial to fighting climate change. Putting off decisions to build new nuclear capacities while increasing the share of intermittent renewables makes coal indispensable and extends its life.

Scientists at the Brattle group, a consultancy, argue that “since CO2 emissions persist for many years in the atmosphere, near-term emission reductions are more helpful for climate protection than later ones”.

The longer we hesitate with new nuclear build the more difficult it becomes to save the Earth.

Nuclear power accounta for about one-tenth of global electricity production, but as much as one-third of generation from low-carbon sources. 1GWe of installed nuclear capacity prevents emissions of 4-7 million metric tons of CO2 emissions per year, depending on the region.

The International Energy Agency (IEA) estimates that in order to limit the average global temperature increase to 2°C and still meet global power demand, we need to connect to the grid at least 20GW of new nuclear energy each year.

The World Nuclear Association (WNA) sets the target even higher with the total of 1,000 GWe by 2050, or about 10 GWe per year before 2020; 25 GWe per year from 2021 to 2025; and on average 33 GWe from 2026 to 2050.

Regulatory and political challenges in the West have made life for nuclear businesses in the US and in Europe's nuclear sector very difficult, driving many of them to the edge of insolvency; but in the rest of the world nuclear energy is thriving.

Nuclear vendors and utilities post healthy profits and invest heavily in next-gen nuclear innovation and expansion. The BRICS countries are leading the way, taking over the initiative in the global climate agenda. From their perspective, it’s the opposite of decline.

Dr Kirill Komarov is first deputy CEO of Russian state nuclear energy operator Rosatom and chairman of the World Nuclear Association.

 

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Canada to spend $2M on study to improve Atlantic region's electricity grid

Atlantic Clean Power Superhighway outlines a federally backed transmission grid upgrade for Atlantic Canada, adding 2,000 MW of renewable energy via interprovincial ties, improved hydro access from Quebec and Newfoundland and Labrador, with utility-regulator funding.

 

Key Points

A federal-provincial plan upgrading Atlantic Canada's grid to deliver 2,000 MW of renewables via interprovincial links.

✅ $2M technical review to rank priority transmission projects

✅ Target: add 2,000 MW renewable power to Atlantic grid

✅ Cost-sharing by utilities, regulators, and federal-provincial funding

 

The federal government will spend $2 million on an engineering study to improve the Atlantic region's electricity grid.

The study was announced Friday at a news conference held by 10 federal and provincial politicians at a meeting of the Atlantic Growth Strategy in Halifax, which includes ongoing regulatory reform efforts for cleaner power in Atlantic Canada.

The technical review will identify the most important transmission projects including inter-provincial ties needed to move electricity across the region.

Nova Scotia Premier Stephen McNeil said the results are expected in July.

Provinces will apply to the federal government for federal funding to build the infrastructure. Utilities in each province will be expected to pay some portion of the cost by applying to respective regulators, but what share falls to ratepayers is not known.

​Federal Intergovernmental Affairs Minister Dominic LeBlanc characterized the grid improvements as something that will cost hundreds of millions of dollars.

He said the study was the first step toward "a clean power superhighway across the region.

"We have a historic opportunity to quickly get to work on upgrading ultimately a whole series of transmission links of inter-provincial ties. That's something that the government of Canada would be anxious to work with in terms of collaborating with the provinces on getting that right."

Premier McNeil referred specifically to improving hydro access from Quebec and Newfoundland and Labrador.

For context, a massive cross-border hydropower line to New York is planned, illustrating the scale of projects under consideration.

 

Goal of 2,000 megawatts

McNeil said the goal was to bring an additional 2,000 megawatts of renewable electricity into the region.

"I can't stress to you enough how critical this will be for the future economic success and stability of Atlantic Canada, especially as Atlantic grids face intensifying storms," he said.

Federal Immigration Minister Ahmed Hussen also announced a pilot project to attract immigrant workers will be extended by two years to the end of 2021.

International graduate students will be given 24 months to apply under the program — a one-year increase.

 

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Thermal power plants’ PLF up on rising demand, lower hydro generation

India Coal Power PLF rose as capacity utilisation improved on rising peak demand and hydropower shortfall; thermal plants lifted plant load factor, IPPs lagged, and generation beat program targets amid weak rainfall and slower snowmelt.

 

Key Points

Coal plant load factor in India rose in May on higher demand and weak hydropower, with generation beating targets.

✅ PLF rose to 65.3% as demand climbed

✅ Hydel generation fell 14% YoY on poor rainfall

✅ IPP PLF at 57.8%, below 60% debt comfort

 

Capacity utilisation levels of coal-based power plants improved in May because of a surge in electricity demand and lower generation from hydroelectric sources. The plant load factor (PLF) of thermal power plants went up to 65.3% in the month, 1.7 percentage points higher than the year-ago period.

While PLFs of central and state government-owned plants were 75.5% and 64.5%, respectively, the same for independent power producers (IPPs) stood at 57.8%, even as coal and electricity shortages eased across the market. Though PLFs of IPPs were higher than May 2017 levels, it failed to cross the 60% mark, which eases debt servicing capabilities of power generation assets.

Thermal power plants generated 96,580 million units (MU) in May, 4% more than the programme set for the month and 5.2% higher than last year, partly supported by higher imported coal volumes in the market. On the other hand, hydel plants produced 10,638 MU, 10% lower than the target, reflecting a 14% decline from last year.

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Peak demand of power on the last day of the month was 1,62,132 MW, 4.3% higher than the demand registered in the same day a year ago, underscoring India's position as the third-largest electricity producer globally.

According to sources, hydropower plants have been generating lesser than expected electricity due to inadequate rainfall and snow melting at a slower pace than previous years, even as the US reported a power generation jump year on year. Data for power generation from renewable sources have not been made available yet.

 

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Coronavirus could stall a third of new U.S. utility solar this year: report

U.S. Utility-Scale Solar Delays driven by the coronavirus pandemic threaten construction timelines, supply chains, and financing, with interconnection and commissioning setbacks, module sourcing risks in Southeast Asia, and tax credit deadline pressures impacting project delivery.

 

Key Points

Setbacks to large U.S. solar builds from COVID-19 impacting construction, supply, financing, and permitting.

✅ Construction, interconnection, commissioning site visits delayed

✅ Supply chain risks for modules from Southeast Asia

✅ Tax credit deadline extensions sought by developers

 

About 5 gigawatts (GW) of big U.S. solar energy projects, enough to power nearly 1 million homes, could suffer delays this year if construction is halted for months due to the coronavirus pandemic, as the Covid-19 crisis hits renewables across the sector, according to a report published on Wednesday.

The forecast, a worst-case scenario laid out in an analysis by energy research firm Wood Mackenzie, would amount to about a third of the utility-scale solar capacity expected to be installed in the United States this year, even as US solar and wind growth continues under favorable plans.

The report comes two weeks after the head of the top U.S. solar trade group called the coronavirus pandemic (as solar jobs decline nationwide) "a crisis here" for the industry. Solar and wind companies are pleading with Congress to extend deadlines for projects to qualify for sunsetting federal tax credits.

Even the firm’s best-case scenario would result in substantial delays, mirroring concerns that wind investments at risk across the industry. With up to four weeks of disruption, the outbreak will push out 2 GW of projects, or enough to power about 380,000 homes. Before factoring in the impact of the coronavirus, Wood Mackenzie had forecast 14.7 GW of utility-scale solar projects would be installed this year.

In its report, the firm said the projects are unlikely to be canceled outright. Rather, they will be pushed into the second half of 2020 or 2021. The analysis assumes that virus-related disruptions subside by the end of the third quarter.

Mid-stage projects that still have to secure financing and receive supplies are at the highest risk, Wood Mackenzie analyst Colin Smith said in an interview, adding that it was too soon to know whether the pandemic would end up altering long-term electricity demand and therefore utility procurement plans, where policy shifts such as an ITC extension could reshape priorities.

Currently, restricted travel is the most likely cause of project delays, the report said. Developers expect delays in physical site visits for interconnection and commissioning, and workers have had difficulty reaching remote construction sites.

For earlier-stage projects, municipal offices that process permits are closed and in-person meetings between developers and landowners or local officials have slowed down.

Most solar construction is proceeding despite stay at home orders in many states because it is considered critical infrastructure, and long-term proposals like a tenfold increase in solar could reshape the outlook, the report said, adding that “that could change with time.”

Risks to supplies of solar modules include potential manufacturing shutdowns in key producing nations in Southeast Asia such as Malaysia, Vietnam and Thailand. Thus far, solar module production has been identified as an essential business and has been allowed to continue.

 

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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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Garbage Truck Crash Knocks Down Power Poles in Little Haiti

Little Haiti Garbage Truck Power Outage in Miami after mechanical arms snagged power lines, snapping power poles; FPL crews, police, and businesses faced traffic delays, safety risks, and rapid restoration efforts across the neighborhood.

 

Key Points

A Miami incident where a garbage truck snagged power lines, toppling poles and causing outages and traffic delays.

✅ Mechanical arms caught overhead lines; three power poles snapped

✅ FPL dispatched, police directed traffic; restoration prioritized

✅ Dozens of businesses affected; afternoon rush hour congestion

 

On January 16, 2025, a significant incident unfolded in Miami's Little Haiti neighborhood when a garbage truck collided with power lines, causing three power poles to collapse and resulting in widespread power outages and traffic disruptions.

Incident Details

Around 1:30 p.m., a garbage truck traveling west on Northeast 82nd Street toward Interstate 95 became entangled with overhead power lines. The truck's mechanical arms caught the lines, leading to the snapping of three power poles and plunging the area into darkness, a scenario echoed by urban incidents like a manhole fire that left thousands without power. Witnesses reported a loud boom followed by an immediate power outage. One local business owner described the event, stating, "There was a loud boom, and suddenly the power went out."

Impact on the Community

The incident caused significant disruptions in the Little Haiti area. At least a dozen businesses were affected by the power outage, and in wider Florida events restoration can take weeks depending on damage, leading to operational halts and potential financial losses. The timing of the crash, during the afternoon rush hour, exacerbated traffic congestion as commuters were forced to navigate through the area, and similar disruptions occur when strong winds knock out power, further complicating the situation.

Response and Recovery Efforts

In response to the incident, Miami police directed traffic to alleviate congestion and ensure public safety. Florida Power & Light (FPL) crews, known for their major outage response, were promptly dispatched to the scene to assess the damage and begin restoration efforts. The priority was to safely remove the damaged power poles and restore electricity to the affected area. FPL's swift action was crucial in minimizing the duration of the power outage and restoring normalcy to the community.

Safety Considerations

This incident underscores the importance of safety protocols for vehicles operating in areas with overhead power lines. Garbage trucks, due to their design and operational mechanisms, are particularly susceptible to such accidents, and in broader disasters some regions require a power grid rebuild to recover, highlighting the stakes. It is imperative for operators to be vigilant and adhere to safety guidelines to prevent similar occurrences.

Community Resilience

Despite the challenges posed by the incident, the Little Haiti community demonstrated resilience. Local businesses and residents cooperated with authorities, while utilities elsewhere have restored power to thousands after major events, and the prompt response from emergency services highlighted the community's strength in the face of adversity.

 

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