California Gets $500M to Upgrade Power Grid

Renewable Energy Economic Recovery drives GDP gains, job growth, and climate targets by accelerating clean energy investment, green hydrogen, and grid modernization, delivering high ROI and a resilient, low-carbon transition through stimulus and policy alignment.

Key Points

A strategy to boost GDP and jobs by accelerating clean power and green hydrogen while meeting climate goals.

✅ Adds $98tn to global GDP by 2050; $3-$8 return per $1 invested

✅ Quadruples clean energy jobs to 42m; improves health and welfare

✅ Cuts CO2 70% by 2050; enables net-zero via green hydrogen

Renewable energy could power an economic recovery from Covid-19 through a green recovery that spurs global GDP gains of almost $100tn (£80tn) between now and 2050, according to a report.

The International Renewable Energy Agency’s new IRENA report found that accelerating investment in renewable energy could generate huge economic benefits while helping to tackle the global climate emergency.

The agency’s director general, Francesco La Camera, said the global crisis ignited by the coronavirus outbreak exposed “the deep vulnerabilities of the current system” and urged governments to invest in renewable energy to kickstart economic growth and help meet climate targets.

The agency’s landmark report found that accelerating investment in renewable energy would help tackle the climate crisis and would in effect pay for itself.

Investing in renewable energy would deliver global GDP gains of $98tn above a business-as-usual scenario by 2050, as clean energy investment significantly outpaces fossil fuels, by returning between $3 and $8 on every dollar invested.

It would also quadruple the number of jobs in the sector to 42m over the next 30 years, and measurably improve global health and welfare scores, according to the report.

“Governments are facing a difficult task of bringing the health emergency under control while introducing major stimulus and recovery measures, as a US power coalition demands action,” La Camera said. “By accelerating renewables and making the energy transition an integral part of the wider recovery, governments can achieve multiple economic and social objectives in the pursuit of a resilient future that leaves nobody behind.”

The report also found that renewable energy could curb the rise in global temperatures by helping to reduce the energy industry’s carbon dioxide emissions by 70% by 2050 by replacing fossil fuels, with measures like a fossil fuel lockdown hastening the shift.

Renewables could play a greater role in cutting carbon emissions from heavy industry and transport to reach virtually zero emissions by 2050, particularly by investing in green hydrogen.

The clean-burning fuel, which can replace the fossil fuel gas in steel and cement making, could be made by using vast amounts of clean electricity to split water into hydrogen and oxygen elements.

Andrew Steer, chief executive of the World Resources Institute, said: “As the world looks to recover from the current health and economic crises, we face a choice: we can pursue a modern, clean, healthy energy system, or we can go back to the old, polluting ways of doing business. We must choose the former.”

The call for a green economic recovery from the coronavirus crisis comes after a warning from Dr Fatih Birol, head of the International Energy Agency, that government policies must be put in place to avoid an investment hiatus in the energy transition, even as the solar and wind industry faces Covid-19 disruptions.

“We should not allow today’s crisis to compromise the clean energy transition, even as wind power growth persists despite Covid-19,” he said. “We have an important window of opportunity.”

Ignacio Galán, the chairman and CEO of the Spanish renewables giant Iberdrola, which owns Scottish Power, said the company would continue to invest billions in renewable energy as well as electricity networks and batteries to help integrate clean energy in the electricity.

“A green recovery is essential as we emerge from the Covid-19 crisis. The world will benefit economically, environmentally and socially by focusing on clean energy,” he said. “Aligning economic stimulus and policy packages with climate goals is crucial for a long-term viable and healthy economy.”

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USDA Rural Energy Infrastructure Funding boosts renewable energy, BESS, and transmission upgrades, delivering grid modernization, resilience, and clean power to rural cooperatives through loans and grants aligned with climate goals, decarbonization, and energy independence.

Key Points

USDA Rural Energy Infrastructure Funding is a $4.37B program advancing renewables, BESS, and grid upgrades for rural power.

✅ Loans and grants for cooperatives modernizing rural grids.

✅ Prioritizes BESS to integrate wind and solar reliably.

✅ Upgrades transmission to cut losses and boost grid stability.

The U.S. Department of Agriculture (USDA) has announced a major investment of $4.37 billion aimed at upgrading rural electric cooperatives across the nation. This funding will focus on advancing renewable energy projects, enhancing battery energy storage systems (BESS), and upgrading transmission infrastructure to support a grid overhaul for renewables nationwide.

The USDA’s Rural Development initiative will provide loans and grants to cooperatives, supporting efforts to transition to cleaner energy sources that help rural America thrive, improve energy resilience, and modernize electrical grids in rural areas. These upgrades are expected to bolster the reliability and efficiency of energy systems, making rural communities more resilient to extreme weather events and fostering the expansion of renewable energy.

The funding will primarily support energy storage technologies, such as BESS, which allow excess energy from renewable sources like wind energy, solar, and hydropower technology to be stored and used during periods of high demand or when renewable generation is low. These systems are critical for integrating more renewable energy into the grid, ensuring a stable and sustainable power supply.

In addition to energy storage, the USDA’s investment will go toward enhancing the transmission networks that carry electricity across rural regions, aligning with a recent rule to boost renewable transmission across the U.S. By upgrading these systems, the USDA aims to reduce energy losses, improve grid stability, and ensure that rural communities have reliable access to power, particularly in remote and underserved areas.

This investment aligns with the Biden administration’s broader climate and clean energy goals, focusing on reducing greenhouse gas emissions and fostering sustainable energy practices, including next-generation building upgrades that lower demand. The USDA's support will also promote energy independence in rural areas, enabling local cooperatives to meet the energy demands of their communities while decreasing reliance on fossil fuels.

The funding is expected to have a far-reaching impact, not only reducing carbon footprints but also creating jobs in the renewable energy and construction sectors. By modernizing energy infrastructure, rural electric cooperatives can expand access to clean, affordable energy while contributing to the nationwide shift toward a more sustainable energy future.

The USDA’s commitment to supporting rural electric cooperatives marks a significant step in the transition to a more resilient and sustainable energy grid, mirroring grid modernization projects in Canada seen in recent years. By investing in renewables and modernizing transmission and storage systems, the government aims to improve energy access and reliability in rural communities, ultimately driving the growth of a cleaner, more energy-efficient economy.

As part of the initiative, the USDA has also highlighted its commitment to helping rural cooperatives navigate the challenges of implementing new technologies and infrastructure. The agency has pledged to provide technical assistance, ensuring that cooperatives have the resources and expertise needed to successfully complete these projects.

In conclusion, the USDA’s $4.37 billion investment represents a significant effort to improve the energy landscape of rural America. By supporting the development of renewable energy, energy storage, and transmission upgrades, the USDA is not only fostering a cleaner energy future but also enhancing the resilience of rural communities. This initiative will contribute to the nationwide transition toward a sustainable, low-carbon economy, ensuring that rural areas are not left behind in the global push for renewable energy.

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American-Made Solar Prize Round 3 accelerates DOE-backed solar innovation, empowering entrepreneurs and domestic manufacturing with photovoltaics and grid integration support via National Laboratories, incubators, and investors to validate products, secure funding, and deploy backup power.

Key Points

A DOE challenge fast-tracking solar innovation to market readiness, boosting US manufacturing and grid integration.

✅ $50,000 awards to 20 teams for prototype validation

✅ Access to National Labs, incubators, investors, and mentors

✅ Focus on PV advances and grid integration solutions

The U.S. Department of Energy (DOE) announced the 20 competitors who have been invited to advance to the next phase of the American-Made Solar Prize Round 3, a competition designed to incentivize the nation’s entrepreneurs to strengthen American leadership in solar energy innovation and domestic manufacturing, a key front in the clean energy race today.

The American-Made Solar Prize is designed to help more American entrepreneurs thrive in the competitive global energy market. Each round of the prize brings new technologies to pre-commercial readiness in less than a year, ensuring new ideas enter the marketplace. As part of the competition, teams will have access to a network of DOE National Laboratories, technology incubators and accelerators, and related DOE efforts like next-generation building upgrades, venture capital firms, angel investors, and industry. This American-Made Network will help these competitors raise private funding, validate early-stage products, or test technologies in the field.

Each team will receive a $50,000 cash prize and become eligible to compete in the next phase of the competition. Through a rigorous evaluation process, teams were chosen based on the novelty of their ideas and how their solutions address a critical need of the solar industry. The teams were selected from 120 submissions and represent 11 states. These projects will tackle challenges related to new solar applications, like farming, as well as show how solar can be used to provide backup power when the grid goes down, aided by increasingly affordable batteries now reaching scale. Nine teams will advance solar photovoltaic technologies, and 11 will address challenges related to how solar integrates with the grid. The projects are as follows:

Photovoltaics:

• Durable Antireflective and Self-Cleaning Glass (Pittsburgh, PA)
• Pursuit Solar - More Power, Less Hassle (Denver, NC)
• PV WaRD (San Diego, CA)
• Remotely Deployed Solar Arrays (Charlottesville, VA)
• Robotics Changing the Landscape for Solar Farms (San Antonio, TX)
• TrackerSled (Chicago, IL)
• Transparent Polymer Barrier Films for PV (Bristol, PA)
• Solar for Snow (Duluth, MN)
• SolarWall Power Tower (Buffalo, NY)

Systems Integration:

• Affordable Local Solar Storage via Utility Virtual Power Plants (Parker, TX)
• Allbrand Solar Monitor (Detroit, MI)
• Beyond Monitoring – Next Gen Software and Hardware (Atlanta, GA)
• Democratizing Solar with Artificial Intelligence Energy Management (Houston, TX)
• Embedded, Multi-Function Maximum Power Point Tracker for Smart Modules (Las Vegas, NV)
• Evergrid: Keep Solar Flowing When the Grid Is Down (Livermore, CA)
• Inverter Health Scan (San Jose, CA)
• JuiceBox: Integrated Solar Electricity for Americans Transitioning out of Homelessness and Recovering from Natural Disasters (Claremont, CA)
• Low-Cost Parallel-Connected DC Power Optimizer (Blacksburg, VA)
• Powerfly: A Plug-and-Play Solar Monitoring Device (Berkeley, CA)
• Simple-Assembly Storage Kit (San Antonio, TX)

Read the descriptions of the projects to see how they contribute to efforts to improve solar and wind power worldwide.

Over the next six months, these teams will fast-track their efforts to identify, develop, and test disruptive solutions amid record solar and storage growth projected nationwide. During a national demonstration day at Solar Power International in September 2020, a panel of judges will select two final winners who will receive a $500,000 prize. Learn more at the American-Made Solar Prize webpage.

The American-Made Challenges incentivize the nation's entrepreneurs to strengthen American leadership in energy innovation and domestic manufacturing. These new challenges seek to lower the barriers U.S.-based innovators face in reaching manufacturing scale by accelerating the cycles of learning from years to weeks while helping to create partnerships that connect entrepreneurs to the private sector and the network of DOE’s National Laboratories across the nation, alongside recent wind energy awards that complement solar innovation.

Go here to learn how this work aligns with a tenfold solar expansion being discussed nationally.

https://www.energy.gov/eere/solar/solar-energy-technologies-office

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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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Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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Yukon SMR Feasibility Study examines small modular reactors as low-emissions nuclear power for Yukon's grid and remote communities, comparing costs, safety, waste, and reliability with diesel generation, renewables, and energy efficiency.

Key Points

An official assessment of small modular reactors as low-emission power options for Yukon's grid and remote sites.

✅ Compares SMR costs vs diesel, hydro, wind, and solar

✅ Evaluates safety, waste, fuel logistics, decommissioning

✅ Considers remote community loads and grid integration

The Yukon government is looking for ways to reduce the territory's emissions, and wondering if nuclear power is one way to go.

The territory is undertaking a feasibility study, and, as some developers note, combining multiple energy sources can make better projects, to determine whether there's a future for SMRs — small modular reactors — as a low-emissions alternative to things such as diesel power.

The idea, said John Streicker, Yukon's minister of energy, mines and resources, is to bring the SMRs into the Yukon to generate electricity.

"Even the micro ones, you could consider in our remote communities or wherever you've got a point load of energy demand," Streicker said. "Especially electricity demand."

For remote coastal communities elsewhere in Canada, tidal energy is being explored as a low-emissions option as well.

SMRs are nuclear reactors that use fission to produce energy, similar to existing large reactors, but with a smaller power capacity. The International Atomic Energy Agency (IAEA) defines reactors as "small" if their output is under 300 MW. A traditional nuclear power plant produces about three times as much power or more.

They're "modular" because they're designed to be factory-assembled, and then installed where needed. 

Several provinces have already signed an agreement supporting the development of SMRs, and in Alberta's energy mix that conversation spans both green and fossil power, and Canada's first grid-scale SMRs could be in place in Ontario by 2028 and Saskatchewan by 2032.

A year ago, the government of Yukon endorsed Canada's SMR action plan, at a time when analysts argue that zero-emission electricity by 2035 is practical and profitable, agreeing to "monitor the progress of SMR technologies throughout Canada with the goal of identifying potential for applicability in our northern jurisdiction."

The territory is now following through by hiring someone to look at whether SMRs could make sense as a cleaner-energy alternative in Yukon. 

The territorial government has set a goal of reducing emissions by 45 per cent by 2030, excluding mining emissions, even as some analyses argue that zero-emissions electricity by 2035 is possible, and "future emissions actions for post-2030 have not yet been identified," reads the government's request for proposals to do the SMR study. 

Streicker acknowledges the potential for nuclear power in Yukon is a bit of "long shot" — but says it's one that can't be ignored.

"We need to look at all possible solutions," he said, as countries such as New Zealand's electricity sector debate their future pathways.

"I don't want to give the sense like we're putting all of our emphasis and energy towards nuclear power. We're not."

According to Streicker, it's nothing more than a study at this point.

Don't bother, researcher says
Still, M.V. Ramana, a professor at the School of Public Policy and Global Affairs at the University of British Columbia, said it's a study that's likely a waste of time and money. He says there's been plenty of research already, and to him, SMRs are just not a realistic option for Yukon or anywhere in Canada.

"I would say that, you know, that study can be done in two weeks by a graduate student, essentially, all right? They just have to go look at the literature on SMRs and look at the critical literature on this," Ramana said.

Ramana co-authored a research paper last year, looking at the potential for SMRs in remote communities or mine sites. The conclusion was that SMRs will be too expensive and there won't be enough demand to justify investing in them.

He said nuclear reactors are expensive, which is why their construction has "dried up" in much of the world.

"They generate electricity at very high prices," he said.

'They just have to go look at the literature,' said M.V. Ramana, a professor at the School of Public Policy and Global Affairs at the University of British Columbia. (Paul Joseph)
"[For] smaller reactors, the overall costs go down. But the amount of electricity that they will generate goes down even further."

The environmental case is also shaky, according to a statement signed last year by dozens of Canadian environmental and community groups, including the Sierra Club, Greenpeace, the Council of Canadians and the Canadian Environmental Law Associaton (CELA). The statement calls SMRs a "dirty, dangerous distraction" from tackling climate change and criticized the federal government for investing in the technology.

"We have to remember that the majority of the rhetoric we hear is from nuclear advocates. And so they are promoting what I would call, and other legal scholars and academics have called, a nuclear fantasy," said Kerrie Blaise of CELA.

Blaise describes the nuclear industry as facing an unknown future, with some of North America's larger reactors set to be decommissioned in the coming years. SMRs are therefore touted as the future.

"They're looking for a solution. And so that I would say climate change presents that timely solution for them."

Blaise argues the same safety and environmental questions exist for SMRs as for any nuclear reactors — such as how to produce and transport fuel safely, what to do with waste, and how to decommission them — and those can't be glossed over in a single-minded pursuit of lower carbon emissions.  

Main focus is still renewables, minister says
Yukon's energy minister agrees, and he's eager to emphasize that the territory is not committed to anything right now beyond a study.

"Every government has a responsibility to do diligence around this," Streicker said.

A solar farm in Old Crow, Yukon. The territory's energy minister says Yukon is still primarily focussed on renewables, and energy efficiency. (Caleb Charlie)
He also dismisses the idea that studying nuclear power is any sort of distraction from his government's response to climate change right now. Yukon's main focus is still renewable energy such as solar and wind power, though Canada's solar progress is often criticized as lagging, increasing efficiency, and connecting Yukon's grid to the hydro project in Atlin, B.C., he said.

Streicker has been open to nuclear energy in the past. As a federal Green Party candidate in 2008, Streicker broke with the party line to suggest that nuclear could be a viable energy alternative. 

He acknowledges that nuclear power is always a hot-button issue, and Yukoners will have strong feelings about it. A lot will depend on how any future regulatory process works, he says.

In taking action on climate, this Arctic community wants to be a beacon to the world
Cameco signs agreement with nuclear reactor company
"There's some people that think it's the 'Hail Mary,' and some people that think it's evil incarnate," he said. 

"Buried deep within Our Clean Future [Yukon's climate change strategy], there's a line in there that says we should keep an eye on other technologies, for example, nuclear. That's what this [study] is — it's to keep an eye on it."

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