NRU reactor not likely to go online before 2010

Kentucky Coal Wage Protection Bill strengthens performance bond enforcement, links Energy and Environment Cabinet and Labor Cabinet notifications, addresses Blackjewel bankruptcy fallout, safeguards unpaid miners, ties mining permits to payroll bonds, penalizes violators via revocations.

Key Points

A Kentucky plan to enforce wage bonds and revoke mining permits to protect miners after bankruptcies.

✅ Requires wage bonds for firms under 5 years

✅ Links Energy and Environment Cabinet and Labor Cabinet

✅ Violators face permit revocation in 90 days

Following the high-profile bankruptcy of a coal company that left hundreds of Kentucky miners with bad checks last month, Sen. Johnny Ray Turner (D-Prestonsburg) said he will pre-file a bill Thursday aimed at closing a loophole that allowed the company to operate in violation of state law.

The bill would also compel state agencies to determine whether other companies are currently in violation of the law, and could revoke mining permits if the companies don't comply.

Turner's bill would amend an already-existing law that requires coal and construction companies that have been operating in Kentucky for less than five years to post a performance bond to protect wages if the companies cease their operations.

Blackjewel LLC., which employed hundreds of miners in Eastern Kentucky, failed to post that bond. When it shut its mines down and filed for bankruptcy last month, it left hundreds of miners without payment for 3 weeks and one day of work.

The bond issue has sparked criticism from various state officials, including Attorney General Andy Beshear, who said Tuesday that he would investigate whether other companies are currently in violation, similar to an external investigation of utility workers in another jurisdiction.

Blackjewel issued cold checks to its employees June 28, and when the checks bounced days later, many employees were left with bank accounts overdrawn by more than $1,000. The bankruptcy left many miners and their families with concerns over upcoming bill and mortgage payments, and, as unpaid days off at utilities elsewhere show, the strain on workers can be severe, and fostered a ongoing protest that blocked a train hauling coal from one of the company's Harlan County mines.

Blackjewel had been operating in Kentucky for about two years before it filed for bankruptcy, so it should have paid the performance bond, according to state law.

David A. Dickerson, the Kentucky Labor Cabinet Secretary, said the law as it's currently written does not set up any mechanism that notifies the cabinet, or provides comparable public reporting at large utility projects elsewhere, when a company opens in Kentucky that is supposed to pay the bond.

That allowed Blackjewel to operate for two years without any protection for workers before it closed its mines. Had the company posted the bond according to state law, miners likely would have been paid for the work they had already completed, officials said.

The law requires companies to set aside enough money to cover payroll for four weeks.

Turner's bill would compel the state Energy and Environment Cabinet to notify the Labor Cabinet's Department of Workplace Standards of any application for a mining permit from a company that has been doing business in Kentucky for less than five years.

It also compels the EEC to notify the Labor Cabinet of any companies that already have permits that are subject to the bond.

"It should have already been that way, but I'm happy so our children don't have to go through this," said Jeff Willig, a former Blackjewel miner who helped launch the protest at the railroad.

Willig said he and other miners will continue to block the tracks until they receive payment for their past work.

Any company currently operating in violation of the law would have 90 days to become compliant before its mining permits are revoked. New companies that are applying for permits will be required post the bond before permits are issued.

"Hopefully it will take care of the loopholes that had been exploited by Blackjewel," Turner said.

The bill will be taken up by the legislature when it returns to session in January. It would also cover attorneys' fees if workers are forced to sue their employer to cover wages, underscoring broader worker safety concerns during health emergencies.

Turner said he has reached out to Republican leadership in the Senate, and expects the bill to have bipartisan support come January.

Turner announced the legislation at a press conference in Harlan, the county with the highest population of Blackjewel employees affected by the bankruptcy, and as prolonged utility outages after tornadoes have strained other Kentucky communities.

State rep. Angie Hatton (D-Whitesburg) was also in attendance, along with rep. Chris Fugate (R-Chavies) and state Sen. Morgan McGarvey (D-Louisville).

Hatton said the bankruptcy has had serious economic impact throughout Eastern Kentucky, including in Letcher County, which is home to more than 130 former Blackjewel workers.

"This is something that has done a lot of damage to Eastern Kentucky," Hatton said.

Hatton plans to file the same bill in the state House of Representatives.

Fugate commended community members in Harlan County and elsewhere who have banded together in support of the miners by donating children's clothing, school supplies, food and other goods, while other regions have created a coal transition fund to help displaced workers.

Mosley called the bankruptcy "totally unprecedented" and said the current performance bond law, which has been on-the-books since 1986, lacked the enforcement necessary to protect miners in bankruptcies like Blackjewel's, even as a workplace safety fine in another case shows regulatory consequences in other industries.

"There was a law, there wasn't good enough process," Mosley said.

Blackjewel received court approval to sell many of its mines last month, including many in Kentucky, to Kopper Glo Mining, LLC.

As part of the sale agreement, Kopper Glo said it would pay $450,000 to cover the past wages of Blackjewel miners, and collect a per ton fee accumulating up to $550,000 that it will also contribute to pay back wages.

That total $1 million is less than half of all back wages owed to Blackjewel miners, but attorneys who filed a class action suit against the company said miners have a priority lien on the purchase price. That could allow former Blackjewel employees to make good on their back wages as bankruptcy proceedings continue.

Mosley said he spoke with a Kopper Glo official Thursday, who said the company is working to re-open the mines as quickly as possible. The official did not give an exact timeline.

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Fukushima Daiichi decommissioning delay highlights TEPCO's revised timeline, spent fuel removal at Units 1 and 2, safety enclosures, decontamination, fuel debris extraction by robot arm, and contaminated water management under stricter radiation control.

Key Points

A government revised schedule pushing back spent fuel removal and decommissioning milestones at Fukushima Daiichi.

✅ TEPCO delays spent fuel removal at Units 1 and 2 for safety.

✅ Enclosures, decontamination, and robotics mitigate radioactive risk.

✅ Contaminated water cut target: 170 tons/day to 100 by 2025.

The Japanese government decided Friday to delay the removal of spent fuel from the Fukushima Daiichi nuclear power plant's Nos. 1 and 2 reactors by as much as five years, casting doubt on whether it can stick to its timeframe for dismantling the crippled complex.

The process of removing the spent fuel from the units' pools had previously been scheduled to begin in the year through March 2024.

In its latest decommissioning plan, the government said the plant's operator, Tokyo Electric Power Company Holdings Inc., will not begin the roughly two-year process (a timeline comparable to major reactor refurbishment programs seen worldwide) at the No. 1 unit at least until the year through March 2028 and may wait until the year through March 2029.

Work at the No. 2 unit is now slated to start between the year through March 2025 and the year through March 2027, it said.

The delay is necessary to take further safety precautions such as the construction of an enclosure around the No. 1 unit to prevent the spread of radioactive dust, and decontamination of the No. 2 unit, even as authorities have begun reopening previously off-limits towns nearby, the government said. It is the fourth time it has revised its schedule for removing the spent fuel rods.

"It's a very difficult process and it's hard to know what to expect. The most important thing is the safety of the workers and the surrounding area," industry minister Hiroshi Kajiyama told a press conference.

The government set a new goal of finishing the removal of the 4,741 spent fuel rods across all six of the plant's reactors by the year through March 2032, amid ongoing debates about the consequences of early nuclear plant closures elsewhere.

Plant operator TEPCO has started the process at the No. 3 unit and already finished at the No. 4 unit, which was off-line for regular maintenance at the time of the disaster. A schedule has yet to be set for the Nos. 5 and 6 reactors.

While the government maintained its overarching timeframe of finishing the decommissioning of the plant 30 to 40 years from the 2011 crisis triggered by a magnitude 9.0 earthquake and tsunami, there may be further delays, even as milestones at other nuclear projects are being reached worldwide.

The government said it will begin removing fuel debris from the three reactors that experienced core meltdowns in the year through March 2022, starting with the No. 2 unit as part of broader reactor decommissioning efforts.

The process, considered the most difficult part of the decommissioning plan, will involve using a robot arm, reflecting progress in advanced reactors technologies, to initially remove small amounts of debris, moving up to larger amounts.

The government also said it will aim to reduce the pace at which contaminated water at the plant increases. Water for cooling the melted cores, mixed with underground water, amounts to around 170 tons a day. That number will be brought down to 100 tons by 2025, it said.

The water is being treated to remove the most radioactive materials and stored in tanks on the plant's grounds, but already more than 1 million tons has been collected and space is expected to run out by the summer of 2022.

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Hydro One Q2 Earnings surge on a one-time gain from a court ruling on a deferred tax asset, lifting profit, revenue, and adjusted EPS at Ontario's largest utility regulated by the Ontario Energy Board.

Key Points

Hydro One Q2 earnings jumped on an $867M court gain, with revenue at $1.67B and adjusted EPS improving to $0.39.

✅ One-time gain: $867M from tax appeal ruling.

✅ Revenue: $1.67B vs $1.41B last year.

✅ Adjusted EPS: $0.39 vs $0.26.

Hydro One Ltd., following the Peterborough Distribution sale transaction closing, reported a second-quarter profit of $1.1 billion, boosted by a one-time gain related to a court decision.

The power utility says it saw a one-time gain of $867 million in the quarter due to an Ontario court ruling on a deferred tax asset appeal that set aside an Ontario Energy Board decision earlier.

Hydro One says the profit amounted to $1.84 per share for the quarter ended June 30, amid investor concerns about uncertainties, up from $155 million or 26 cents per share a year earlier.

Shares also moved lower after the Ontario government announced leadership changes, as seen when Hydro One shares fell on the news in prior trading.

On an adjusted basis, it says it earned 39 cents per share for the quarter, despite earlier profit plunge headlines, up from an adjusted profit of 26 cents per share in the same quarter last year.

Revenue totalled $1.67 billion, up from $1.41 billion in the second quarter of 2019, while other Canadian utilities like Manitoba Hydro face heavy debt burdens.

Hydro One is Ontario’s largest electricity transmission and distribution provider, and its CEO compensation has drawn scrutiny in the province.

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EU Clean Energy Transition underscores the shift from fossil fuels to renewable energy, decarbonization, and hydrogen, as soaring gas prices and electricity volatility spur resilience, storage, and joint procurement across the single market.

Key Points

EU Clean Energy Transition shifts from fossil fuels to renewables, enhancing resilience and reducing price volatility.

✅ Cuts reliance on Russian gas and fossil imports

✅ Scales renewables, hydrogen, and energy storage

✅ Stabilizes electricity prices via market resilience

Soaring energy prices, described as Europe's energy nightmare, are a stark reminder of how dependent Europe is on fossil fuels and should serve to accelerate the shift towards renewable forms of energy.

"This experience today of the rising energy prices is a clear wake up call... that we should accelerate the transition to clean energy, wean ourselves off the fossil fuel dependency," a senior EU official told reporters as the European Commission unveiled a series of emergency electricity measures aimed at tackling the crisis.

The European Union is facing a sharp spike in energy prices, driven by increased global demand as the world recovers from the pandemic and lower-than-expected natural gas deliveries from Russia. Wholesale electricity prices have increased by 200% compared to the 2019 average, underscoring why rolling back electricity prices is tougher than it appears, according to the European Commission.

"Winter is coming and for many electricity costs are larger than they have been for a decade," Energy Commissioner Kadri Simson told reporters on Wednesday.

80 million European households struggle to stay warm
Wholesale gas prices — which have surged to record highs in France, Spain, Germany and Italy, amid reports of Germany's local utilities crying for help — are expected to remain high through the winter.

Prices are expected to fall in the spring, but remain higher than the average of past years, according to the Commission. Most EU countries rely on gas-fired power stations to meet electricity demand, and about 40% of that gas comes from Russia, with the EU outlining a plan to dump Russian energy to reduce this reliance, according to Eurostat.

Simson said that the Commission's initial assessment indicates that Russia's Gazprom has been fulfilling its long-term contracts "while providing little or no additional supply."
Kremlin spokesman Dmitry Peskov told journalists on Wednesday that Russia has increased gas supplies to Europe to the maximum possible level under existing contracts, but could not exceed those thresholds. "We can say that Russia is flawlessly fulfilling all contractual obligations," he said.

Measures EU states can take to help consumers and businesses cope with soaring electricity costs include emergency income support to households to help them pay their energy bills, alongside potential gas price cap strategies, state aid for companies, and targeted tax reductions. Member states can also temporarily delay bill payments and put in place processes to ensure that no one is disconnected from the grid.

Green energy the solution
The Commission also published a series of longer term measures the bloc should consider to reduce its dependence on fossil fuels and tackle energy price volatility, despite opposition from nine countries to electricity market reforms.

"Our immediate priority is to protect Europe's consumers, especially the most vulnerable," Simson said. "Second, we want to make our energy system better prepared and more resilient, so we don't have to face a similar situation in the future," she added.

Energy crisis could force more UK factories to close
This would require speeding up the green energy transition rather than slowing it down, Simson said. "We are not facing an energy price surge because of our climate policy or because renewable energy is expensive. We are facing it because the fossil fuel prices are spiking," she continued.

"The only long term remedy against demand shocks and price volatility is a transition to a green energy system."

Simson said she will propose to EU leaders a package of measures to decarbonize Europe's gas and hydrogen markets by 2050. Other measures to improve energy market stability could include increasing gas storage capacity and buying gas jointly at an EU level.

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Hong Kong Typhoon Mangkhut Power Outages strain households with blackouts, electricity disruption, and humid heat, impacting Tin Ping Estate in Sheung Shui and outlying islands; contractor-led restoration faces fines for delays and infrastructure repairs.

Key Points

They are blackout events after Typhoon Mangkhut, bringing heat stress, food spoilage, and delayed power restoration.

✅ 16 floors in Tin Ping Estate lost power after meter room blast.

✅ Contractor faces HK$100,000 daily fines for late restoration.

✅ Kat O and Ap Chau families remain off-grid in humid heat.

Nearly 600 Hong Kong families are still sweltering under the summer heat and facing dark nights without electricity after Typhoon Mangkhut cut off power supply to areas, echoing mass power outages seen elsewhere.

At Sheung Shui’s Tin Ping Estate in the New Territories, 384 families were still without power, a situation similar to the LA-area blackout that left many without service. They were told on Tuesday that a contractor would rectify the situation by Friday, or be fined HK$100,000 for each day of delay.

In remote areas such as outlying islets Kat O and Ap Chau, there were some 200 families still without electricity, similar to Tennessee storm outages affecting rural communities.

The power outage at Tin Ping Estate affected 16 floors – from the 11th to 26th – in Tin Cheung House after a blast from the meter room on the 15th floor was heard at about 5pm on Sunday, and authorities urged residents to follow storm electrical safety tips during repairs.

“I was sitting on the sofa when I heard a loud bang,” said Lee Sau-king, 61, whose flat was next to the meter room. “I was so scared that my hands kept trembling.”

While the block’s common areas and lifts were not affected, flats on the 16 floors encountered blackouts.

As her fridge was out of power, Lee had to throw away all the food she had stocked up for the typhoon. With the freezer not functioning, her stored dried seafood became soaked and she had to dry them outside the window when the storm passed.

Daily maximum temperatures rose back to 30 degrees Celsius after the typhoon, and nights became unbearably humid, as utilities worldwide pursue utility climate adaptation to maintain reliability. “It’s too hot here. I can’t sleep at all,” Lee said.

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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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