Liability bill hits roadblock in India

DARPA RADICS Power Grid Security targets DoD resilience to cyber attacks, delivering early warning, detection, isolation, and characterization tools, plus a secure emergency network to protect critical infrastructure and speed grid restoration and communications.

Key Points

A DoD/DARPA initiative to detect, contain, and rapidly recover the U.S. grid from sophisticated cyber attacks.

✅ Early warning separates attacks from routine outages

✅ Pinpoints intrusion points and malware used

✅ Builds secure emergency network for rapid restoration

The U.S. Department of Defense is growing increasingly concerned about hackers taking down our power grid and crippling the nation, reflecting a renewed focus on grid protection across agencies, which is why the Pentagon has created a $77-million security plan that it hopes will be up and running by 2020.

The U.S. power grid is threatened every few days. While these physical and cyber attacks have never led to wide-scale outages, attacks are getting more sophisticated. According to a 494-page report released by the Department of Energy in January and a new grid report card, the nation’s grid “faces imminent danger from cyber attacks.” Such a major, sweeping attack could threaten “U.S. lifeline networks, critical defense infrastructure, and much of the economy; it could also endanger the health and safety of millions of citizens.” If it were to happen today, America could be powered-down and vulnerable for weeks.

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The DoD is working on an automated system to speed up recovery time to a week or less — what it calls the Rapid Attack Detection, Isolation, and Characterization (RADICS) program. DARPA, the Pentagon’s research arm, originally solicited proposals in late 2015, asking for technology that did three things. Primarily, it had to detect early warning signs and distinguish between attacks and normal outages, especially after intrusions at U.S. electric utilities underscored the risk, but it also had to pinpoint the access point of the attack and determine what malicious software was used. Finally, it must include an emergency system that can rapidly connect various power-supply centers, without any human coordination. This would allow emergency and military responders to have an ad hoc communication system in place moments after an attack.

“If a well-coordinated cyberattack on the nation’s power grid were to occur today, the time it would take to restore power would pose daunting national security challenges,” said DARPA program manager John Everett, in a statement, at the time. “Beyond the severe domestic impacts, including economic and human costs, prolonged disruption of the grid would hamper military mobilization and logistics, impairing the government’s ability to project force or pursue solutions to international crises.”

DARPA plans to spend $77 million on RADICS, while DOE funding to improve the grid complements these initiatives. Last November, SRI International announced it had received $7.3 million from the program. In December, Raython was granted $9 million. The latest addition is BAE Systems, which received $8.6 million last month to develop technology that detects and contains power-grid threats, and creates a secure emergency provisional system that restores some power and communication in the wake of an attack — what is being called a secure emergency network.

According to the military news site Defense Systems, BAE’s SEN would rely on radio, satellite, or wireless internet — particularly as ransomware attacks continue to rise — whatever is available that allows the grid to continue working. The SEN would serve as a wireless connection between separate power grid stations.

While the ultimate goal of the RADICS program will be the restoration of civilian power and communications, the SEN will prioritize communication networks that would be used for defense or combat, so the U.S. government can still wage war while the rest of us are in the dark.

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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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Grid Transformer Waste Heat Recovery turns substations into neighborhood boilers, supplying district heating via heat networks, helping National Grid and SSE cut emissions, boost energy efficiency, and advance low carbon, net zero decarbonization.

Key Points

Grid Transformer Waste Heat Recovery captures substation heat for district heating, cutting emissions and gas use.

✅ Captures waste heat from National Grid transformers

✅ Feeds SSE district heat networks for nearby homes

✅ Cuts carbon, improves efficiency, aligns with net zero

Thousands of homes could soon be warmed by the heat from giant electricity grid transformers for the first time as part of new plans to harness “waste heat” and cut carbon emissions from home heating.

Trials are due to begin on how to capture the heat generated by transmission network transformers, owned by National Grid, to provide home heating for households connected to district heating networks operated by SSE.

Currently, hot air is vented from the giant substations to help cool the transformers that help to control the electricity running through National Grid’s high-voltage transmission lines.

However, if the trial succeeds, about 1,300 National Grid substations could soon act as neighbourhood “boilers”, piping water heated by the substations into nearby heating networks, and on into the thousands of homes that use SSE’s services.

“Electric power transformers generate huge amounts of heat as a byproduct when electricity flows through them. At the moment, this heat is just vented directly into the atmosphere and wasted,” said Nathan Sanders, the managing director of SSE Energy Solutions.

“This groundbreaking project aims to capture that waste heat and effectively turn transformers into community ‘boilers’ that serve local heat networks with a low- or even zero-carbon alternative to fossil-fuel-powered heat sources such as gas boilers, a shift akin to a gas-for-electricity swap in heating markets,” Sanders added.

Alexander Yanushkevich, National Grid’s innovation manager, said the scheme was “essential to achieve net zero” and a “great example of how, taking a whole-system approach, including power-to-gas in Europe precedents, the UK can lead the way in helping accelerate decarbonisation”.

The energy companies believe the scheme could initially reduce heat network carbon emissions by more than 40% compared with fossil gas systems. Once the UK’s electricity system is zero carbon, and with recent milestones where wind was the main source of UK electricity on the grid, the heating solution could play a big role in helping the UK meet its climate targets.

The first trials have begun at National Grid’s specially designed testing site at Deeside in Wales to establish how the waste heat could be used in district heating networks. Once complete, the intellectual property will be shared with smaller regional electricity network owners, which may choose to roll out schemes in their areas.

Tim O’Reilly, the head of strategy at National Grid, said: “We have 1,300 transmission transformers, but there’s no reason why you couldn’t apply this technology to smaller electricity network transformers, too, echoing moves to use more electricity for heat in colder regions.”

Once the trials are complete, National Grid and SSE will have a better idea of how many homes could be warmed using the heat generated by electricity network substations, O’Reilly said, and how the heat can be used in ways that complement virtual power plants for grid resilience.

“The heavier the [electricity] load, which typically reaches a peak at around teatime, the more heat energy the transformer will be able to produce, aligning with times when wind leads the power mix nationally. So it fits quite nicely to when people require heat in the evenings,” he added.

Other projects designed to capture waste heat to use in district heating schemes include trapping the heat generated on the Northern line of London’s tube network to warm homes in Islington, and harnessing the geothermal heat from disused mines for district heating networks in Durham.

Only between 2% and 3% of the UK is connected to a district heating network, but more networks are expected to emerge in the years ahead as the UK tries to reduce the carbon emissions from homes, alongside its nuclear power plans in the wider energy strategy.

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OPG Small Modular Reactors advance clean energy with advanced nuclear, baseload power, renewables integration, and grid reliability; factory built, scalable, and cost effective to support Ontario energy security and net zero goals.

Key Points

Factory built nuclear units delivering reliable, low carbon power to support Ontario's grid, renewables, climate goals.

✅ Factory built modules cut costs and shorten schedules

✅ Provides baseload power to balance wind and solar

✅ Enhances grid reliability with advanced safety and waste reduction

Ontario Power Generation (OPG) is at the forefront of Canada’s energy transformation, demonstrating a robust commitment to sustainable energy solutions. One of the most promising avenues under exploration is the development of Small Modular Reactors (SMRs), as OPG broke ground on the first SMR at Darlington to launch this next phase. These innovative technologies represent a significant leap forward in the quest for reliable, clean, and cost-effective energy generation, aligning with Ontario’s ambitious climate goals and energy security needs.

Understanding Small Modular Reactors

Small Modular Reactors are advanced nuclear power plants that are designed to be smaller in size and capacity compared to traditional nuclear reactors. Typically generating up to 300 megawatts of electricity, SMRs can be constructed in factories and transported to their installation sites, offering flexibility and scalability that larger reactors do not provide. This modular approach reduces construction time and costs, making them an appealing option for meeting energy demands.

One of the key advantages of SMRs is their ability to provide baseload power—energy that is consistently available—while simultaneously supporting intermittent renewable sources like wind and solar. As Ontario continues to increase its reliance on renewables, SMRs could play a crucial role in ensuring that the energy supply remains stable and secure.

OPG’s Initiative

In its commitment to advancing clean energy technologies, OPG has been a strong advocate for the adoption of SMRs. The province of Ontario has announced plans to develop three additional small modular reactors, part of its plans for four Darlington SMRs that would further enhance the region’s energy portfolio. This initiative aligns with both provincial and federal climate objectives, and reflects a collaborative provincial push on nuclear innovation to accelerate clean energy.

The deployment of SMRs in Ontario is particularly strategic, given the province’s existing nuclear infrastructure, including the continued operation of Pickering NGS that supports grid reliability. OPG operates a significant portion of Ontario’s nuclear fleet, and leveraging this existing expertise can facilitate the integration of SMRs into the energy mix. By building on established operational frameworks, OPG can ensure that new reactors are deployed safely and efficiently.

Economic and Environmental Benefits

The introduction of SMRs is expected to bring substantial economic benefits to Ontario. The construction and operation of these reactors will create jobs, including work associated with the Pickering B refurbishment across the province, stimulate local economies, and foster innovation in nuclear technology. Additionally, SMRs have the potential to attract investment from both domestic and international stakeholders, positioning Ontario as a leader in advanced nuclear technology.

From an environmental perspective, SMRs are designed with enhanced safety features and lower waste production compared to traditional reactors, complementing life-extension measures at Pickering that bolster system reliability. They can significantly contribute to Ontario’s goal of achieving net-zero emissions by 2050. By providing a reliable source of clean energy, SMRs will help mitigate the impacts of climate change while supporting the province's transition to a sustainable energy future.

Community Engagement and Collaboration

Recognizing the importance of community acceptance and stakeholder engagement, OPG is committed to an open dialogue with local communities and Indigenous groups. This collaboration is essential to addressing concerns and ensuring that the deployment of SMRs is aligned with the values and priorities of the residents of Ontario. By fostering a transparent process, OPG aims to build trust and support for this innovative energy solution.

Moreover, the development of SMRs will involve partnerships with various stakeholders, including government agencies, research institutions, and private industry, such as the OPG-TVA partnership to advance new nuclear technology. These collaborations will not only enhance the technical aspects of SMR deployment but also ensure that Ontario can capitalize on shared expertise and resources.

Looking Ahead

As Ontario Power Generation moves forward with plans for three additional Small Modular Reactors, the province stands at a critical juncture in its energy evolution. The integration of SMRs into Ontario’s energy landscape promises a sustainable, reliable, and economically viable solution to meet growing energy demands while addressing climate change challenges.

With the support of government initiatives, community collaboration, and continued innovation in nuclear technology, Ontario is poised to become a leader in the advancement of Small Modular Reactors. The successful implementation of these projects could serve as a model for other jurisdictions seeking to transition to cleaner energy sources, highlighting the role of nuclear power in a balanced and sustainable energy future.

In conclusion, OPG's commitment to developing Small Modular Reactors not only reinforces Ontario’s energy security but also demonstrates a proactive approach to addressing the pressing challenges of climate change and environmental sustainability. The future of energy in Ontario looks promising, driven by innovation and a commitment to clean energy solutions.

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BC Fossil Fuel Phase-Out outlines a just transition to a green economy, meeting climate targets by mid-century through carbon budgets, ending subsidies for fracking, capping production, and investing in renewable energy, remediation, and resilient infrastructure.

Key Points

A strategic plan to wind down oil and gas, end subsidies, and achieve climate targets with a just transition in BC.

✅ End new leases, phase out subsidies, cap fossil production

✅ Carbon budgets and timelines to meet mid-century climate targets

✅ Just transition: income supports, retraining, site remediation jobs

Politicians in British Columbia aren't focused enough on phasing out fossil fuel industries, a new report says.

The report, authored by the left-leaning Canadian Centre for Policy Alternatives, says the province must move away from fossil fuel industries by mid-century in order to meet its climate targets, with B.C. projected to fall short of 2050 targets according to recent analysis, but adds that the B.C. government is ill prepared to transition to a green economy.

"We are totally moving in the wrong direction," said economist Marc Lee, one of the authors of the report, on The Early Edition Wednesday. 

He said most of the emphasis of B.C. government policy has been on slowing reductions in emissions from transportation or emissions from buildings, even though Canada will need more electricity to hit net-zero according to the IEA, while still subsidizing fossil fuel extraction, such as fracking projects, that Lee said should be phased out.

"What we are putting on the table is politically unthinkable right now," said Lee, adding that last month's provincial budget called for a 26 per cent increased gas production over the next three years, even though electrified LNG facilities could boost demand for clean power.

B.C.'s $830M in fossil fuel subsidies undermines efforts to fight climate crisis, report says
He said B.C. needs to start thinking instead about how its going to wind down its dependence on fossil fuel industries.

'Greener' job transition needed
The report said the provincial government's continued interest in expanding production and exporting fossil fuels, even as Canada's race to net-zero intensifies across the energy sector, suggests little political will to think about a plan to move away from them.

It suggests the threat of major job losses in those industries is contributing to the political inaction, but cited several examples of ways governments can help move workers into greener jobs, as many fossil-fuel workers are ready to support the transition according to recent commentary. 

Lee said early retirement provisions or income replacement for transitioning workers are options to consider.

"We actually have seen a lot of real-world policy around transition starting to happen, including in Alberta, which brought in a whole transition package for coal workers producing coal for electricity generation, and regional cooperation like bridging the electricity gap between Alberta and B.C. could further support reliability," Lee said.

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Lee also said well-paying jobs could be created by, for example, remediating old coal mines and gas wells and building green infrastructure and renewable electricity projects in affected areas.

The report also calls for a moratorium on new fossil fuel leases and ending fossil fuel subsidies, as well as creating carbon budgets and fossil fuel production limits.

"Change is coming," said Lee. "We need to get out ahead of it."

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Baima Hydropower Station advances China renewable energy on the Wujiang River, a Yangtze tributary in Chongqing; a 525 MW cascade project approved by NDRC, delivering 1.76 billion kWh and improving river shipping.

Key Points

An NDRC-approved 525 MW project on Chongqing's Wujiang River, producing 1.76 billion kWh and improving navigation.

✅ 10.2 billion yuan investment; final cascade plant on Wujiang in Chongqing

✅ Expected output: 1.76 billion kWh; capacity 525 MW; NDRC approval

✅ Improves river shipping; relocation of 5,000 residents in Wulong

China plans to build a 525-MW hydropower station on the Wujiang River, a tributary of the Yangtze River, in Southwest China's Chongqing municipality, aligning with projects like the Lawa hydropower station elsewhere in the Yangtze basin.

The Baima project, the last of a cascade of hydropower stations on the section of the Wujiang River in Chongqing, has gotten the green light from the National Development and Reform Commission, China's state planning agency, even as some independent power projects elsewhere face uncertainty, such as the Siwash Creek project in British Columbia, the Chongqing Municipal Commission of Development and Reform said Monday.

The project, in Baima township of Wulong district, is expected to involve an investment of 10.2 billion yuan ($1.6 billion), as China explores compressed air generation to bolster grid flexibility, it said.

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With a power-generating capacity of 525 MW, it is expected to generate 1.76 billion kwh of electricity a year, supporting efforts to reduce coal power production nationwide, and help improve the shipping service along the Wujiang River.

More than 5,000 local residents will be relocated to make room for the project, which forms part of a broader energy mix alongside advances in nuclear energy in China.

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