Plan for nuclear storage Is slow to form

By New York Times


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The Energy Department has not finished plans to consolidate storage of nuclear bomb fuel and other high-risk materials now spread among numerous sites, even though the department said in 2005 that it would do so within about a year, according to a recently released Government Accountability Office report.

As a result, the department is spending hundreds of millions of dollars to defend additional sites.

The G.A.O. had reported that the Energy Department was putting off making security improvements at some of the storage sites because the sites were due to be phased out. But the new report makes clear that the goal of shutting down some obsolete weapons and research centers, and simplifying the security job by centralizing “special nuclear material,” as bomb fuel is called, has yet to advance from concept to plan, let alone to finished project.

The Energy Department “has completed only two of the eight implementation plans for consolidating and disposing of special nuclear material,” the new report found, and it cited problems with those two plans.

Representative Joe L. Barton, the Texas Republican who is the ranking member of the House Energy and Commerce Committee and who requested the study, said in a statement: “We’re just trying to get to the point where the D.O.E. has a plan. Two years have passed by since we asked about a plan, and still no plan.”

A spokesman for the National Nuclear Security Administration, part of the Energy Department, did not dispute that planning was moving more slowly than anticipated but said that shipments of some radioactive materials had begun. The spokesman, Bryan Wilkes, said the department had to acquire certification of the storage and shipping containers, institute security and safety requirements, and address legal and environmental impacts.

“Whenever special nuclear materials are moved, a lot of unforeseen challenges arise,” he said in an e-mail message. “When planning an operation of this size and sensitivity, key issues of security, safety, environmental responsibility and public input take precedence over schedules.”

On Oct. 7, 2005, Charles E. Anderson, the principal deputy assistant secretary of environmental management, testified before Mr. Barton, who was then the chairman of the committee, and said he wanted to finish the planning “within a year or two,” and recognized “the urgency to make that closer to a year.” Asked if the department needed more money or other help from Congress to wrap up the planning, Mr. Anderson said no.

The concept is to remove plutonium and highly enriched uranium from Lawrence Livermore National Laboratory, in a part of California that is now largely suburban; surplus plutonium from the Hanford nuclear reservation in Washington State, a site that is mostly being decommissioned; and plutonium-238, used to generate heat for space probes, at Oak Ridge National Laboratory in Tennessee.

Highly enriched uranium from Sandia National Laboratory in New Mexico, and plutonium and uranium-233 from Los Alamos, also in New Mexico, would also be moved. Uranium-233 was manufactured decades ago from thorium, and can be used in weapons but is now considered impractical for that purpose.

The various materials would go to another Tennessee site, Y-12; the Savannah River Site, in South Carolina; Pantex, near Amarillo, Tex.; the Nevada Test Site; and the Idaho National Laboratory.

The report says that one problem is poor coordination among different parts of the department, including the divisions of environmental management, defense programs and nuclear energy. It said that terrorists might invade one of the sites and detonate a weapon, assemble an improvised nuclear explosive from the materials at hand or steal a weapon for use elsewhere.

A Republican staff member on the committee said that some of the plans might face local opposition at some point, but that so little had been done that so far there was little to which to object.

The G.A.O. said the Energy DepartmentÂ’s goal was to finish consolidating the material by 2008, but that this was unlikely.

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The Innovative Solution Bringing Electricity To Crisis Stricken Areas

Toyota and Honda Moving e delivers hydrogen backup power via a fuel cell bus, portable batteries, and power exporters for disaster relief, emergency electricity, and grid outage support near charging stations and microgrids.

 

Key Points

A hydrogen mobile power system using a fuel cell bus and batteries to supply emergency electricity during disasters.

✅ Fuel cell bus outputs up to 18 kW, 454 kWh capacity

✅ Portable batteries and power exporter deliver site power

✅ Supports disaster relief near hydrogen charging stations

 

Without the uninterrupted supply of power and electricity, modern economies would be unable to function. A blackout can impact everything from transport to health care, communication, and even water supplies, as seen in a near-blackout in Japan that strained the grid. It is one of the key security concerns for every government on earth, a point underscored by Fatih Birol on electricity options during the pandemic, and the growth in the market for backup power reflects that fact. In 2018, the global Backup Power market was $14.9 billion and is expected to reach $22 billion by the end of 2025, growing at a CAGR of 5.0 percent between 2019 and 2025.

It is against this backdrop that Toyota and Honda have come up with a new and innovative solution to providing electricity during disasters. The two transport giants have launched a mobile power generation system that consists of a fuel cell bus that can carry a large amount of hydrogen, aligned with Japan's hydrogen energy system efforts underway, portable external power output devices, and portable batteries to disaster zones. The system, which is called ‘Moving e’ includes Toyota’s charging station fuel cell bus, Honda’s power exporter 9000 portable external power output device, two types of Honda’s portable batteries, and a Honda Mobile Power Pack Charge & Supply Concept charger/discharger for MPP. 

In simple terms, the bus would drive to a disaster zone, and while other approaches such as gravity energy storage are advancing, the portable batteries and power output devices would be used to extract electricity from the fuel cell bus and provide it wherever it is needed. The bus itself can generate 454kWh and has a maximum output of 18kW. That is more than enough energy to supply electricity for large indoor areas such as an evacuation area. The bus is also fitted with space for people to nap or rest during a disaster.

The two companies plan to test the effectiveness of the Moving e at multiple municipalities and businesses. These locations will have to be within 100km of a hydrogen station that is capable of refueling the bus. If the bus has to drive 200km, then its electricity supply to the disaster zone would drop from 490kwh to 240kWh. While there aren’t currently enough hydrogen stations to make this a realistic scenario for all disaster zones, especially as countries push for hydrogen-ready power plants in Germany and related infrastructure, hydrogen is growing increasingly competitive with gasoline and diesel.

While gas generators are still considered more reliable and generally cheaper than backup batteries for home use, cleaner backup power is growing increasingly popular, and novel storage like power-to-gas in Europe is also advancing across grids. This latest development by Toyota and Honda is another step forward for the battery and fuel cell industry, with initiatives like PEM hydrogen R&D in China accelerating progress, – especially considering the meteoric rise of hydrogen energy in recent years.
 

 

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In Europe, A Push For Electricity To Solve The Climate Dilemma

EU Electrification Strategy 2050 outlines shifting transport, buildings, and industry to clean power, accelerating EV adoption, heat pumps, and direct electrification to meet targets, reduce emissions, and replace fossil fuels with renewables and low-carbon grids.

 

Key Points

EU plan to cut emissions 95% by 2050 by electrifying transport, buildings and industry with clean power.

✅ 60% of final energy from electricity by 2050

✅ EVs dominate transport; up to 63% electric share

✅ Heat pumps electrify buildings; industry to 50% direct

 

The European Union has one of the most ambitious carbon emission reduction goals under the global Paris Agreement on climate change – a 95% reduction by 2050.

It seems that everyone has an idea for how to get there. Some are pushing nuclear energy. Others are pushing for a complete phase-out of fossil fuels and a switch to renewables.

Today the European electricity industry came out with their own plan, amid expectations of greater electricity price volatility in Europe in the coming years. A study published today by Eurelectric, the trade body of the European power sector, concludes that the 2050 goal will not be possible without a major shift to electricity in transport, buildings and industry.

The study finds that for the EU to reach its 95% emissions reduction target, electricity needs to cover at least 60 percent of final energy consumption by 2050. This would require a 1.5 percent year-on-year growth of EU electricity use, with evidence that EVs could raise electricity demand significantly in other markets, while at the same time reducing the EU’s overall energy consumption by 1.3 percent per year.

#google#

Transport is one of the areas where electrification can deliver the most benefit, because an electric car causes far less carbon emissions than a conventional vehicle, with e-mobility emerging as a key driver of electricity demand even if that electricity is generated in a fossil fuel power plant.

In the most ambitious scenario presented by the study, up to 63 percent of total final energy consumption in transport will be electric by 2050, and some analyses suggest that mass adoption of electric cars could occur much sooner, further accelerating progress.

Building have big potential as well, according to the study, with 45 to 63 percent of buildings energy consumption could be electric in 2050 by converting to electric heat pumps. Industrial processes could technically be electrified with up to 50 percent direct electrification in 2050, according to the study. The relative competitiveness of electricity against other carbon-neutral fuels will be the critical driver for this shift, but grid carbon intensity differs across markets, such as where fossil fuels still supply a notable share of generation.

 

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Hydro One Q2 profit plunges 23% as electricity revenue falls, costs rise

Hydro One Q2 Earnings show lower net income and EPS as mild weather curbed electricity demand; revenue missed Refinitiv estimates, while tree-trimming costs rose and the dividend remained unchanged for Ontario's grid operator.

 

Key Points

Hydro One Q2 earnings fell to $155M, EPS $0.26, revenue $1.41B; costs rose, demand eased, dividend held at $0.2415.

✅ Net income $155M; EPS $0.26 vs $0.34 prior year

✅ Revenue $1.41B; missed $1.44B estimate

✅ Dividend steady at $0.2415 per share

 

Hydro One Ltd.'s (H.TO 0.25%) second-quarter profit fell by nearly 23 per cent from last year to $155 million as the electricity utility reported spending more on tree-trimming work due to milder temperatures that also saw customers using less power, notwithstanding other periods where a one-time court ruling gain shaped quarterly results.

The Toronto-based company - which operates most of Ontario's power grid - and whose regulated rates are subject to an OEB decision, says its net earnings attributable to shareholders dropped to 26 cents per share from 34 cents per share when Hydro One had $200 million in net income.

Adjusted net income was also 26 cents per share, down from 33 cents per diluted share in the second quarter of 2018, while executive pay, including the CEO salary, drew public scrutiny during the period.

Revenue was $1.41 billion, down from $1.48 billion, while revenue net of purchased power was $760 million, down from $803 million, and across the sector, Manitoba Hydro's debt has surged as well.

Separately, Ontario introduced a subsidized hydro plan and tax breaks to support economic recovery from COVID-19, which could influence consumption patterns.

Analysts had estimated $1.44 billion of revenue and 27 cents per share of adjusted income, and some investors cite too many unknowns in evaluating the stock, according to financial markets data firm Refinitiv.

The publicly traded company, which saw a share-price drop after leadership changes and of which the Ontario government is the largest shareholder, says its quarterly dividend will remain at 24.15 cents per share for its next payment to shareholders in September.

 

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Greening Ontario's electricity grid would cost $400 billion: report

Ontario Electricity Grid Decarbonization outlines the IESO's net-zero pathway: $400B investment, nuclear expansion, renewables, hydrogen, storage, and demand management to double capacity by 2050 while initiating a 2027 natural gas moratorium.

 

Key Points

A 2050 plan to double capacity, retire gas, and invest $400B in nuclear, renewables, and storage for a net-zero grid.

✅ $400B over 25 years to meet net-zero electricity by 2050

✅ Capacity doubles to 88,000 MW; demand grows ~2% annually

✅ 2027 gas moratorium; build nuclear, renewables, storage

 

Ontario will need to spend $400 billion over the next 25 years in order to decarbonize the electricity grid and embrace clean power according to a new report by the province’s electricity system manager that’s now being considered by the Ford government.

The Independent System Electricity Operator (IESO) was tasked with laying out a path to reducing Ontario’s reliance on natural gas for electricity generation and what it would take to decarbonize the entire electricity grid by 2050.

Meeting the goal, the IESO concluded, will require an “aggressive” approach of doubling the electricity capacity in Ontario over the next two-and-a-half decades — from 42,000 MW to 88,000 MW — by investing in nuclear, hydrogen and wind and solar power while implementing conservation policies and managing demand.

“The process of fully eliminating emissions from the grid itself will be a significant and complex undertaking,” IESO president Lesley Gallinger said in a news release.

The road to decarbonization, the IESO said, begins with a moratorium on natural gas power generation starting in 2027 as long as the province has “sufficient, non-emitting supply” to meet the growing demands on the grid.

The approach, however, comes with significant risks.

The IESO said hydroelectric and nuclear facilities can take 10 to 15 years to build and if costs aren’t controlled the plan could drive up the price of clean electricity, turning homeowners and businesses away from electrification.

“Rapidly rising electricity costs could discourage electrification, stifle economic growth or hurt consumers with low incomes,” the report states.

The IESO said the province will need to take several “no regret” actions, including selecting sites and planning to construct new large-scale nuclear plants as well as hydroelectric and energy storage projects and expanding energy-efficiency programs beyond 2024.

READ MORE: Ontario faces calls to dramatically increase energy efficiency rebate programs

Ontario’s minister of energy didn’t immediately commit to implementing the recommendations, citing the need to consult with stakeholders first.

“I look forward to launching a consultation in the new year on next steps from today’s report, including the potential development of major nuclear, hydroelectric and transmissions projects,” Todd Smith said in a statement.

Currently, electricity demand is increasing by roughly two per cent per year, raising concerns Ontario could be short of electricity in the coming years as the manufacturing and transportation sectors electrify and as more sectors consider decarbonization.

At the same time, the province’s energy supply is facing “downward pressure” with the Pickering nuclear power plant slated to wind down operations and the Darlington nuclear generating station under active refurbishment.

To meet the energy need, the Ford government said it intended to extend the life of the Pickering plant until 2026.

READ MORE: Ontario planning to keep Pickering nuclear power station open until 2026

But to prepare for the increase, the Ontario government was told the province would also need to build new natural gas facilities to bridge Ontario’s electricity supply gap in the near term — a recommendation the Ford government agreed to.

The IESO said a request for proposals has been opened and the province is looking for host communities, with the expectation that existing facilities would be upgraded before projects on undeveloped land would be considered.

The IESO said the contract for any new facilities would expire in 2040, and all natural gas facilities would be retired in the 2040s.

 

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Ontario prepares to extend disconnect moratoriums for residential electricity customers

Ontario Electricity Relief outlines an extended disconnect moratorium, potential time-of-use price changes, and Ontario Energy Board oversight to support residential customers facing COVID-19 hardship and bill payment challenges during the emergency in Ontario.

 

Key Points

Plan to extend disconnect moratorium and weigh time-of-use price relief for residential customers during COVID-19.

✅ Extends winter disconnect ban by 3 months

✅ Considers time-of-use price adjustments

✅ Requires Ontario Energy Board approval

 

The Ontario government is preparing to announce electricity relief for residential electricity users struggling because of the COVID-19 emergency, according to sources.

Sources close to those discussions say a decision has been made to lengthen the existing five-month disconnect moratorium by an additional three months.

Separately, Hydro One's relief fund has offered support to its customers during the pandemic.

News releases about the moratorium extension are currently being drafted and are expected to be released shortly, as the pandemic has reduced electricity usage across Ontario.

Electricity utilities in Ontario are currently prohibited from disconnecting residential customers for non-payment during the winter ban period from November 15 to April 30.

The province is also looking at providing further relief by adjusting time-of-use prices, such as off-peak electricity rates, which are designed to encourage shifting of energy use away from periods of high total consumption to periods of low demand.

For businesses, the province has provided stable electricity pricing to support industrial and commercial operations.

But that would require Ontario Energy Board approval and no decision has been finalized, our sources advise.

 

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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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