Smart grid requires new profit motives

Massachusetts Energy Code Updates align DOER regulations with BBRS standards, advancing Stretch Code and Specialized Code beyond the Base Energy Code to accelerate net-zero construction, electrification, and high-efficiency building performance across municipal opt-in communities.

Key Points

They are DOER-led changes to Base, Stretch, and Specialized Codes to drive net-zero, electrified, efficient buildings.

✅ Updates apply Base, Stretch, or opt-in Specialized Code.

✅ Targets net-zero by 2050 with electrification-first design.

✅ Municipalities choose code path via City Council or Town Meeting.

Massachusetts will soon see significant updates to the energy codes that govern the construction and alteration of buildings throughout the Commonwealth.

As required by the 2021 climate bill, the Massachusetts Department of Energy Resources (DOER) has recently finalized regulations updating the current Stretch Energy Code, previously promulgated by the state's Board of Building Regulations and Standards (BBRS), and establishing a new Specialized Code geared toward achieving net-zero building energy performance.

The final code has been submitted to the Joint Committee on Telecommunications, Utilities, and Energy for review as required under state law, amid ongoing Connecticut market overhaul discussions that could influence regional dynamics.

Under the new regulations, each municipality must apply one of the following:

Base Energy Code - The current Base Energy Code is being updated by the BBRS as part of its routine updates to the full set of building codes. This base code is the default if a municipality has not opted in to an alternative energy code.

Stretch Code - The updated Stretch Code creates stricter guidelines on energy-efficiency for almost all new constructions and alterations in municipalities that have adopted the previous Stretch Code, paralleling 100% carbon-free target in Minnesota and elsewhere to support building decarbonization. The updated Stretch Code will automatically become the applicable code in any municipality that previously opted-in to the Stretch Code.

Specialized Code - The newly created Specialized Code includes additional requirements above and beyond the Stretch Code, designed to get to ensure that new construction is consistent with a net-zero economy by 2050, similar to Canada's clean electricity regulations that set a 2050 decarbonization pathway. Municipalities must opt-in to adopt the Specialized Code by vote of City Council or Town Meeting.

The new codes are much too detailed to summarize in a blog post. You can read more here. Without going into those details here, it is worth noting a few significant policy implications of the new regulations:

With roughly 90% of Massachusetts municipalities having already adopted the prior version of the Stretch Code, the Commonwealth will effectively soon have a new base code that, even if it does not mandate zero-energy buildings, is nonetheless very aggressive in pushing new construction to be as energy-efficient as possible, as jurisdictions such as Ontario clean electricity regulations continue to reshape the power mix.

Although some concerns have been raised about the cost of compliance, particularly in a period of high inflation, and amid solar demand charge debates in Massachusetts, our understanding is that many developers have indicated that they can work with the new regulations without significant adverse impacts.

Of course, the success of the new codes depends on the success of the Commonwealth's efforts to transition quickly to a zero-carbon electrical grid, supported by initiatives like the state's energy storage solicitation to bolster reliability. If the cost of doing so is higher than expected, there could well be public resistance. If new transmission doesn't get built out sufficiently quickly or other problems occur, such that the power is not available to electrify all new construction, that would be a much more significant problem - for many reasons!

In short, the new regulations unquestionably set the Commonwealth on a course to electrify new construction and squeeze carbon emissions out of new buildings. However, as with the rest of our climate goals, there are a lot of moving pieces, including proposals for a clean electricity standard shaping the power sector that are going to have to come together to make the zero-carbon economy a reality.

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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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Ontario Starlink Contract Cancellation underscores rising tariffs, trade tensions, and retaliation, as SpaceX's Elon Musk loses a rural broadband deal; Ontario pivots to procurement bans, energy resilience, and nuclear power to boost grid independence.

Key Points

Ontario ended a C$100M Starlink deal over U.S. tariffs, prompting a shift to rural broadband alternatives.

✅ Triggered by U.S. tariffs; Ontario adopts retaliatory procurement bans.

✅ Ends plan to connect 15,000 rural homes and businesses with broadband.

✅ Signals push for energy resilience, nuclear power, and grid independence.

In a decisive move, Ontario Premier Doug Ford announced the cancellation of a C$100 million contract with Elon Musk's Starlink, a subsidiary of SpaceX, in direct response to U.S. President Donald Trump's imposition of tariffs on Canadian imports. This action underscores the escalating trade tensions between Canada and the United States, a theme highlighted during Ford's Washington meeting on energy tariffs earlier this month, and highlights Ontario's efforts to safeguard its economic interests.

The now-terminated agreement, established in November, aimed to provide high-speed internet access to 15,000 homes and businesses in Ontario's remote areas. Premier Ford's decision to "rip up" the contract signifies a broader strategy to distance the province from U.S.-based companies amid the current trade dispute. He emphasized, "Ontario won't do business with people hell-bent on destroying our economy."

This move is part of a series of retaliatory measures by Canadian provinces, including Ford's threat to cut electricity exports to the U.S., following President Trump's announcement of a 25% tariff on nearly all Canadian imports, excluding oil, which faces a 10% surcharge. These tariffs, set to take effect imminently, have prompted concerns about potential economic downturns in Canada. In response, Prime Minister Justin Trudeau declared that Canada would impose 25% tariffs on C$155 billion worth of U.S. goods, aiming to exert pressure on the U.S. administration to reconsider its stance.

Premier Ford's actions reflect a broader sentiment of economic nationalism, as he also announced a ban on American companies from provincial contracts until the U.S. tariffs are lifted. He highlighted that Ontario's government and its agencies allocate $30 billion annually on procurement, and reiterated his earlier vow to fire the Hydro One CEO and board as part of broader reforms aimed at efficiency.

The cancellation of the Starlink contract raises concerns about the future of internet connectivity in Ontario's rural regions. The original deal with Starlink was seen as a significant step toward bridging the digital divide, offering high-speed internet to underserved communities. With the contract's termination, the province faces the challenge of identifying alternative solutions to fulfill this critical need.

Beyond the immediate implications of the Starlink contract cancellation, Ontario is confronting broader challenges in ensuring the resilience and independence of its energy infrastructure. The province's reliance on external entities for critical services, such as internet connectivity and energy, has come under scrutiny, as Canada's electricity exports are at risk amid ongoing trade tensions and policy uncertainty.

Premier Ford has expressed a commitment to expanding Ontario's capacity to generate nuclear power as a means to bolster energy self-sufficiency. While this strategy aims to reduce dependence on external energy sources, it presents its own set of challenges that critics argue require cleaning up Ontario's hydro mess before new commitments proceed. Developing nuclear infrastructure requires substantial investment, rigorous safety protocols, and long-term planning. Moreover, the integration of nuclear power into the province's energy mix necessitates careful consideration of environmental impacts and public acceptance.

The concept of "Trump-proofing" Ontario's electricity grid involves creating a robust and self-reliant energy system capable of withstanding external political and economic pressures. Achieving this goal entails diversifying energy sources, including building on Ontario's electricity deal with Quebec to strengthen interties, investing in renewable energy technologies, and enhancing grid infrastructure to ensure stability and resilience.

However, the path to energy independence is fraught with complexities. Balancing the immediate need for reliable energy with long-term sustainability goals requires nuanced policy decisions, including Ontario's Supreme Court challenge to the global adjustment fee and related regulatory reviews to clarify cost impacts. Additionally, fostering collaboration between government entities, private sector stakeholders, and the public is essential to navigate the multifaceted challenges associated with overhauling the province's energy framework.

Ontario's recent actions, including the cancellation of the Starlink contract, underscore the province's proactive stance in safeguarding its economic and infrastructural interests amid evolving geopolitical dynamics. While such measures reflect a commitment to self-reliance, they also highlight the intricate challenges inherent in reducing dependence on external entities. As Ontario charts its course toward a more autonomous future, strategic planning, investment in sustainable technologies, and collaborative policymaking will be pivotal in achieving long-term resilience and prosperity.

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UK Coal-Free Electricity Record highlights rapid growth in renewables as National Grid phases out coal; wind, solar, and offshore projects surge, green tariffs expand, and energy comparison helps consumers switch to cheaper, cleaner deals.

Key Points

Britain's longest coal-free run, enabled by renewables, lower demand, and grid shifts for cheaper, greener tariffs.

✅ Record set after two months without coal-fired generation

✅ Renewables outpace fossil fuels; wind and solar dominate

✅ Green tariffs expand; prices at three-year lows

On Wednesday 10 June, Britain hit a significant landmark: the UK went for two full months without burning coal to generate power – that's the longest period since the 1880s, following earlier milestones such as a full week without coal power in the recent past.

According to the National Grid, Britain has now run its electricity network without burning coal since midnight on the 9 April. This coal-free period has beaten the country’s previous record of 18 days, six hours and 10 minutes, which was set in June 2019, even though low-carbon generation stalled in 2019 according to analyses.

With such a shift in Britain’s drive for renewables and lower electricity demand following the coronavirus lockdown, as Britain recorded its cleanest electricity during lockdown to date, now may be the perfect time to do an online energy comparison and switch to a cheaper, greener deal.

Only a decade ago, around 40 per cent of Britain’s electricity came from coal generation, but since then the country has gradually shifted towards renewable energy, with the coal share at record lows in the system today. When Britain was forced into lockdown in response to the coronavirus pandemic, electricity demand dropped sharply, and the National Grid took the four remaining coal-fired plants off the network.

Over the past 10 years, Britain has invested heavily in renewable energy. Back in 2010, only 3 per cent of the country's electricity came from wind and solar, and many people remained sceptical. However, now, the UK has the biggest offshore wind industry in the world. Plus, last year, construction of the world’s single largest wind farm was completed off the coast of Yorkshire.

At the same time, Drax – Britain’s biggest power plant – has started to switch from burning coal to burning compressed wooden pellets instead, reflecting the UK's progress as it keeps breaking its coal-free energy record again across the grid. By this time next year, the plant hopes to have phased out coal entirely.

So far this year, renewables have generated more power than all fossil fuels put together, the BBC reports, and the energy dashboard shows the current mix in real time. Renewables have been responsible for 37 per cent of electricity supplied to the network, with wind and solar surpassing nuclear for the first time, while fossil fuels have accounted for 35 per cent. During the same period, nuclear accounted for 18 per cent and imports made up the remaining 10 per cent.

What does this mean for consumers?

As the country’s electricity supply moves more towards renewables, customers have more choice than ever before. Most of the ‘Big Six’ energy companies now have tariffs that offer 100 per cent green electricity. On top of this, specialist green energy suppliers such as Bulb, Octopus and Green Energy UK make it easier than ever to find a green energy tariff.

The good news is that our energy comparison research suggests that green energy doesn’t have to cost you more than a traditional fixed-price energy contract would. In fact, some of the cheapest energy suppliers are actually green companies.

At present, energy bills are at three-year lows, which means that now is the perfect time to switch supplier. As prices remain low and renewables begin to dominate the marketplace, more switchers will be drawn to green energy deals than ever before.

However, if you’re interested in choosing a green energy supplier, make sure that you look at the company's fuel mix. This way, you’ll be able to see whether they are guaranteeing the usage of green energy, or whether they’re just offsetting your usage. All suppliers must report how their energy is generated to Ofgem, so you’ll easily be able to compare providers.

You may find that you pay more for a supplier that generates its own energy from renewables, or pay less if the supplier simply matches your usage by buying green energy. You can decide which option is right for you after comparing the prices.

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Yukon Renewable Energy Funding backs wind turbines, grid-scale battery storage, and transmission line upgrades, cutting diesel dependence, lowering greenhouse gas emissions, and strengthening Yukon Energy's isolated grid for remote communities, local jobs, and future growth.

Key Points

Federal support for Yukon projects adding wind, battery storage, and grid upgrades to cut diesel use and emissions.

✅ Three 100 kW wind turbines will power Destruction Bay.

✅ 8 MW battery storage smooths peaks and reduces diesel.

✅ Mayo-McQuesten 138 kV line upgrade boosts reliability.

Kluane First Nation in Yukon will receive a total of $3.1 million in funding from the federal government to install and operate wind turbines that will help reduce the community’s diesel reliance.

According to a release, the community will integrate three 100-kilowatt turbines in Destruction Bay, Yukon, providing a renewable energy source for their local power grid that will reduce greenhouse gas emissions and create local jobs in the community.

A $2-million investment from Natural Resources Canada came from the Clean Energy for Rural and Remote Communities Program, part of the Government of Canada’s Investing in Canada infrastructure plan, which supports green energy solutions across jurisdictions. Crown-Indigenous Relations’ and Northern Affairs Canada also contributed a $1.1-million investment from the Northern REACHE Program.

Also, the Government of Canada announced more than $39.2 million in funding for two Yukon Energy projects that will increase the reliability of Yukon’s electrical grid, including exploration of a potential connection to the B.C. grid to bolster resiliency, and help build the robust energy system needed to support future growth. The investment comes from the government’s Green Infrastructure Stream (GIS) of the Investing in Canada infrastructure plan.

Project 1: Grid-scale battery storage

The federal government is investing $16.5 million in Yukon Energy’s construction of a new battery storage system in Yukon. Once completed, the 8 MW battery will be the largest grid-connected battery in the North, and one of the largest in Canada, alongside major Ontario battery projects underway.

The new battery is a critical investment in Yukon Energy’s ability to meet growing demands for power and securing Yukon’s energy future. As an isolated grid, one of the largest challenges Yukon Energy faces is meeting peak demands for power during winter months, as electrification grows with EV adoption in the N.W.T. and beyond.

When complete, the new system will store excess electricity generated during off-peak periods, complementing emerging vehicle-to-grid integration approaches, and provide Yukoners with access to more power during peak periods. This new energy storage system will create a more reliable power supply and help reduce the territory’s reliance on diesel fuel. Over the 20-year life of project, the new battery is expected to reduce carbon emissions in Yukon by more than 20,000 tonnes.

A location for the new battery energy storage system has not been identified. Yukon Energy will begin permitting of the project in 2020 with construction targeted to be complete by mid-2023.

Project 2: Replacing and upgrading the Mayo to McQuesten Transmission Line

Yukon Energy has received $22.7 million in federal funding to proceed with Stage 1 of the Stewart to Keno City Transmission Project – replacing and upgrading the 65 year-old transmission line between Mayo and McQuesten. The project also includes the addition of system protection equipment at the Stewart Crossing South substation. The Yukon government, through the Yukon Development Corporation, has already provided $3.5 million towards planning for the project.

Replacing the Mayo to McQuesten transmission line is critical to Yukon Energy’s ability to deliver safe and reliable electricity to customers in the Mayo and Keno regions, mirroring broader regional transmission initiatives that enhance grid resilience, and to support economic growth in Yukon. The transmission line has reached end-of-life and become increasingly unreliable for customers in the area.

The First Nation of Na-Cho Nyak Dun has expressed their support of this project. The project has also been approved by the Yukon Environmental and Socio-Economic Assessment Board.

Yukon Energy will begin replacing and upgrading the 31 km transmission line between Mayo and McQuesten in 2020. Construction is expected to be complete in late 2020. When finished, the new 138 kV transmission line will provide more reliable electricity to customers in the Mayo and Keno regions and be equipped to support industrial growth and development in the area, including the Victoria Gold Mine, with renewable power from the Yukon grid.

Planning work for the remainder of the Stewart to Keno City Transmission Project has been completed. Yukon Energy continues to explore funding opportunities that are needed to proceed with other stages of the project.

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Nuclear Waste Corrosion accelerates as stainless steel, glass, and ceramics interact in aqueous conditions, driving localized corrosion in repositories like Yucca Mountain, according to Nature Materials research on high-level radioactive waste storage.

Key Points

Degradation of waste forms and canisters from water-driven chemistry, causing accelerated, localized corrosion in storage.

✅ Stainless steel-glass contact triggers severe localized attack

✅ Ceramics and steel co-corrosion observed under aqueous conditions

✅ Yucca Mountain-like chemistry accelerates waste form degradation

The materials the United States and other countries plan to use to store high-level nuclear waste, even as utilities expand carbon-free electricity portfolios, will likely degrade faster than anyone previously knew because of the way those materials interact, new research shows.

The findings, published today in the journal Nature Materials (https://www.nature.com/articles/s41563-019-0579-x), show that corrosion of nuclear waste storage materials accelerates because of changes in the chemistry of the nuclear waste solution, and because of the way the materials interact with one another.

"This indicates that the current models may not be sufficient to keep this waste safely stored," said Xiaolei Guo, lead author of the study and deputy director of Ohio State's Center for Performance and Design of Nuclear Waste Forms and Containers, part of the university's College of Engineering. "And it shows that we need to develop a new model for storing nuclear waste."

Beyond waste storage, options like carbon capture technologies are being explored to reduce atmospheric CO2 alongside nuclear energy.

The team's research focused on storage materials for high-level nuclear waste -- primarily defense waste, the legacy of past nuclear arms production. The waste is highly radioactive. While some types of the waste have half-lives of about 30 years, others -- for example, plutonium -- have a half-life that can be tens of thousands of years. The half-life of a radioactive element is the time needed for half of the material to decay.

The United States currently has no disposal site for that waste; according to the U.S. General Accountability Office, it is typically stored near the nuclear power plants where it is produced. A permanent site has been proposed for Yucca Mountain in Nevada, though plans have stalled. Countries around the world have debated the best way to deal with nuclear waste; only one, Finland, has started construction on a long-term repository for high-level nuclear waste.

But the long-term plan for high-level defense waste disposal and storage around the globe is largely the same, even as the U.S. works to sustain nuclear power for decarbonization efforts. It involves mixing the nuclear waste with other materials to form glass or ceramics, and then encasing those pieces of glass or ceramics -- now radioactive -- inside metallic canisters. The canisters then would be buried deep underground in a repository to isolate it.

At the generation level, regulators are advancing EPA power plant rules on carbon capture to curb emissions while nuclear waste strategies evolve.

In this study, the researchers found that when exposed to an aqueous environment, glass and ceramics interact with stainless steel to accelerate corrosion, especially of the glass and ceramic materials holding nuclear waste.

In parallel, the electrical grid's reliance on SF6 insulating gas has raised warming concerns across Europe.

The study qualitatively measured the difference between accelerated corrosion and natural corrosion of the storage materials. Guo called it "severe."

"In the real-life scenario, the glass or ceramic waste forms would be in close contact with stainless steel canisters. Under specific conditions, the corrosion of stainless steel will go crazy," he said. "It creates a super-aggressive environment that can corrode surrounding materials."

To analyze corrosion, the research team pressed glass or ceramic "waste forms" -- the shapes into which nuclear waste is encapsulated -- against stainless steel and immersed them in solutions for up to 30 days, under conditions that simulate those under Yucca Mountain, the proposed nuclear waste repository.

Those experiments showed that when glass and stainless steel were pressed against one another, stainless steel corrosion was "severe" and "localized," according to the study. The researchers also noted cracks and enhanced corrosion on the parts of the glass that had been in contact with stainless steel.

Part of the problem lies in the Periodic Table. Stainless steel is made primarily of iron mixed with other elements, including nickel and chromium. Iron has a chemical affinity for silicon, which is a key element of glass.

The experiments also showed that when ceramics -- another potential holder for nuclear waste -- were pressed against stainless steel under conditions that mimicked those beneath Yucca Mountain, both the ceramics and stainless steel corroded in a "severe localized" way.

Other Ohio State researchers involved in this study include Gopal Viswanathan, Tianshu Li and Gerald Frankel.

This work was funded in part by the U.S. Department of Energy Office of Science.

Meanwhile, U.S. monitoring shows potent greenhouse gas declines confirming the impact of control efforts across the energy sector.

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