Doctors urge action on isotope production

By Toronto Star


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The federal government must take action to safeguard the supply of medical isotopes after last year's shutdown of a Chalk River reactor left Canada's medical community "teetering on the brink of disaster," a new report says.

Senior nuclear doctors – convened to advise the government during last year's crisis – are urging Ottawa to look at replacing the aging nuclear reactor in Chalk River that now supplies 50 per cent of the world's supply of isotopes.

Finding a replacement reactor has become even more urgent now that Atomic Energy of Canada Ltd. (AECL) decided in May to scrap work on the Maple reactors that were designed to replace the Chalk River facility.

"The Maples were the answer and I'm quite disappointed that the government has made the decision," said Dr. Douglas Abrams, one of the authors of the report who works at the University of Alberta's Cross Cancer Institute.

"That really would have secured the radio-isotope supply for the world," he said.

In a recent report, the doctors write how they were in the dark when the Chalk River nuclear reactor halted production of medical isotopes late last year, a critical oversight that put patients at risk.

Doctors say they were forced to delay diagnostic and treatment procedures for patients across the country when the supply of isotopes dried up last December.

And not knowing how long the isotope shortage would last, they were forced to decide whether to proceed with other procedures for their patients that carried more risk or would be less accurate.

"For patients with serious and often life-threatening conditions, the lack of certainty was chilling," says the report, prepared by health experts called to advise Health Canada after the crisis set in.

"People scheduled for diagnostic tests received little or no information about how long they would have to wait or whether they would have the prescribed test at all," the report said.

The crisis created "emotional stress and tension" at every level of the health-care system as the shortage "compromised" emergency services in some regions and forced some nuclear medicine departments to close completely, it said.

"For the longest time, it was a moving target and that makes it very difficult to figure out what to do.... We didn't know how long it was going to last," Abrams said in an interview.

The Chalk River facility was shut down by Atomic Energy of Canada Ltd. on Nov. 18 for routine maintenance. But the shutdown was unexpectedly prolonged after an inspection found that mandatory safety upgrades ordered by the Canadian Nuclear Safety Commission had not been done.

A separate report blamed the shutdown on poor communications and unclear licence conditions. The "lessons learned" report by Talisman International, an independent consultant, says the AECL licences "were not clear" and did not specify in detail which safety upgrades were to be done.

The report was requested by both the AECL and the safety commission. In a joint statement, they pledged to clarify licence requirements and improve implementation of licensing demands.

The doctors added their own complaints about poor communications, saying they were kept in the dark about the shutdown, making it impossible for them to plan a response to the crisis.

"The nature and full extent of the crisis was simply not known. The nuclear medicine community found itself working on a day-by-day basis, guided by information gleaned from the newspapers," the report said.

"The ability to provide services was teetering on the brink of disaster when the reactor was finally restarted."

The report recommends ways to minimize the potential for shortages and to mitigate consequences for patients should a shortage occur, including better communications with doctors and the public and enhancing the capability of supplies to respond to shortages.

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British Columbia Halts Further Expansion of Self-Driving Vehicles

BC Autonomous Vehicle Ban freezes new driverless testing and deployment as BC develops a regulatory framework, prioritizing safety, liability clarity, and road sharing with pedestrians and cyclists while existing pilot projects continue.

 

Key Points

A moratorium pausing new driverless testing until a safety-first regulatory framework and clear liability rules exist.

✅ Freezes new AV testing and deployment provincewide

✅ Current pilot shuttles continue under existing approvals

✅ Focus on safety, liability, and road-user integration

 

British Columbia has halted the expansion of fully autonomous vehicles on its roads. The province has announced it will not approve any new applications for testing or deployment of vehicles that operate without a human driver until it develops a new regulatory framework, even as it expands EV charging across the province.


Safety Concerns and Public Questions

The decision follows concerns about the safety of self-driving vehicles and questions about who would be liable in the event of an accident. The BC government emphasizes the need for robust regulations to ensure that self-driving cars and trucks can safely share the road with traditional vehicles, pedestrians, and cyclists, and to plan for infrastructure and power supply challenges associated with electrified fleets.

"We want to make sure that British Columbians are safe on our roads, and that means putting the proper safety guidelines in place," said Rob Fleming, Minister of Transportation and Infrastructure. "As technology evolves, we're committed to developing a comprehensive framework to address the issues surrounding self-driving technology."


What Does the Ban Mean?

The ban does not affect current pilot projects involving self-driving vehicles that already operate in BC, such as limited shuttle services and segments of the province's Electric Highway that support charging and operations.


Industry Reaction

The response from industry players working on autonomous vehicle technology has been mixed, amid warnings of a potential EV demand bottleneck as adoption ramps up. While some acknowledge the need for clear regulations, others express concern that the ban could stifle innovation in the province.

"We understand the government's desire to ensure safety, but a blanket ban risks putting British Columbia behind in the development of this important technology," says a spokesperson for a self-driving vehicle start-up.


Debate Over Self-Driving Technology

The BC ban highlights a larger debate about the future of autonomous vehicles. While proponents point to potential benefits such as improved safety, reduced traffic congestion, and increased accessibility, and national policies like Canada's EV goals aim to accelerate adoption, critics raise concerns about liability, potential job losses in the transportation sector, and the ability of self-driving technology to handle complex driving situations.


BC Not Alone

British Columbia is not the only jurisdiction grappling with the regulation of self-driving vehicles. Several other provinces and states in both Canada and the U.S. are also working to develop clear legal and regulatory frameworks for this rapidly evolving technology, even as studies suggest B.C. may need to double its power output to fully electrify road transport.


The Road Ahead

The path forward for fully autonomous vehicles in BC depends on the government's ability to create a regulatory framework that balances safety considerations with fostering innovation, and align with clean-fuel investments like the province's hydrogen project to support zero-emission mobility.  When and how that framework will materialize remains unclear, leaving the future of self-driving cars in the province temporarily uncertain.

 

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Ontario’s Electricity Future: Balancing Demand and Emissions 

Ontario Electricity Transition faces surging demand, GHG targets, and federal regulations, balancing natural gas, renewables, battery storage, and grid reliability while pursuing net-zero by 2035 and cost-effective decarbonization for industry, EVs, and growing populations.

 

Key Points

Ontario Electricity Transition is the province's shift to a reliable, low-GHG grid via renewables, storage, and policy.

✅ Demand up 75% by 2050; procurement adds 4,000 MW capacity.

✅ Gas use rises to 25% by 2030, challenging GHG goals.

✅ Tripling wind and solar with storage can cut costs and emissions.

 

Ontario's electricity sector stands at a pivotal crossroads. Once a leader in clean energy, the province now faces the dual challenge of meeting surging demand while adhering to stringent greenhouse gas (GHG) reduction targets. Recent developments, including the expansion of natural gas infrastructure and proposed federal regulations, have intensified debates about the future of Ontario's energy landscape, as this analysis explains in detail.

Rising Demand and the Need for Expansion

Ontario's electricity demand is projected to increase by 75% by 2050, equivalent to adding four and a half cities the size of Toronto to the grid. This surge is driven by factors such as industrial electrification, population growth, and the transition to electric vehicles. In response, as Ontario confronts a looming shortfall in the coming years, the provincial government has initiated its most ambitious energy procurement plan to date, aiming to secure an additional 4,000 megawatts of capacity by 2030. This includes investments in battery storage and natural gas generation to ensure grid reliability during peak demand periods.

The Role of Natural Gas: A Controversial Bridge

Natural gas has become a cornerstone of Ontario's strategy to meet immediate energy needs. However, this reliance comes with environmental costs. The Independent Electricity System Operator (IESO) projects that by 2030, natural gas will account for 25% of Ontario's electricity supply, up from 4% in 2017. This shift raises concerns about the province's ability to meet its GHG reduction targets and to embrace clean power in practice. 

The expansion of gas-fired plants, including broader plans for new gas capacity, such as the Portlands Energy Centre in Toronto, has sparked public outcry. Environmental groups argue that these expansions could undermine local emissions reduction goals and exacerbate health issues related to air quality. For instance, emissions from the Portlands plant have surged from 188,000 tonnes in 2017 to over 600,000 tonnes in 2021, with projections indicating a potential increase to 1.65 million tonnes if the expansion proceeds as planned. 

Federal Regulations and Economic Implications

The federal government's proposed clean electricity regulations aim to achieve a net-zero electricity sector by 2035. However, Ontario's government has expressed concerns that these regulations could impose significant financial burdens. An analysis by the IESO suggests that complying with the new rules would require doubling the province's electricity generation capacity, potentially adding $35 billion in costs by 2050, while other estimates suggest that greening Ontario's grid could cost $400 billion over time. This could result in higher residential electricity bills, ranging from $132 to $168 annually starting in 2033.

Pathways to a Sustainable Future

Experts advocate for a diversified approach to decarbonization that balances environmental goals with economic feasibility. Investments in renewable energy sources, such as new wind and solar resources, along with advancements in energy storage technologies, are seen as critical components of a sustainable energy strategy. Additionally, implementing energy efficiency measures and modernizing grid infrastructure can enhance system resilience and reduce emissions. 

The Ontario Clean Air Alliance proposes phasing out gas power by 2035 through a combination of tripling wind and solar capacity and investing in energy efficiency and storage solutions. This approach not only aims to reduce emissions but also offers potential cost savings compared to continued reliance on gas-fired generation. 

Ontario's journey toward a decarbonized electricity grid is fraught with challenges, including balancing reliability, clean, affordable electricity, and environmental sustainability. While natural gas currently plays a significant role in meeting the province's energy needs, its long-term viability as a bridge fuel remains contentious. The path forward will require careful consideration of technological innovations, regulatory frameworks, and public engagement to ensure a clean, reliable, and economically viable energy future for all Ontarians.

 

 

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Cheap material converts heat to electricity

Polycrystalline Tin Selenide Thermoelectrics enable waste heat recovery with ZT 3.1, matching single crystals while cutting costs, powering greener car engines, industrial furnaces, and thermoelectric generators via p-type and emerging n-type designs.

 

Key Points

Low-cost tin selenide devices that turn waste heat into power, achieving ZT 3.1 and enabling p-type and n-type modules.

✅ Oxygen removal prevents heat-leaking tin oxide grain skins.

✅ Polycrystalline ingots match single-crystal ZT 3.1 at lower cost.

✅ N-type tin selenide in development to pair with p-type.

 

So-called thermoelectric generators turn waste heat into electricity without producing greenhouse gas emissions, providing what seems like a free lunch. But despite helping power the Mars rovers, the high cost of these devices has prevented their widespread use. Now, researchers have found a way to make cheap thermoelectrics that work just as well as the pricey kind. The work could pave the way for a new generation of greener car engines, industrial furnaces, and other energy-generating devices.

“This looks like a very smart way to realize high performance,” says Li-Dong Zhao, a materials scientist at Beihang University who was not involved with the work. He notes there are still a few more steps to take before these materials can become high-performing thermoelectric generators. However, he says, “I think this will be used in the not too far future.”

Thermoelectrics are semiconductor devices placed on a hot surface, like a gas-powered car engine or on heat-generating electronics using thin-film converters to capture waste heat. That gives them a hot side and a cool side, away from the hot surface. They work by using the heat to push electrical charges from one to the other, a process of turning thermal energy into electricity that depends on the temperature gradient. If a device allows the hot side to warm up the cool side, the electricity stops flowing. A device’s success at preventing this, as well as its ability to conduct electrons, feeds into a score known as the figure of merit, or ZT.

 Over the past 2 decades, researchers have produced thermoelectric materials with increasing ZTs, while related advances such as nighttime solar cells have broadened thermal-to-electric concepts. The record came in 2014 when Mercouri Kanatzidis, a materials scientist at Northwestern University, and his colleagues came up with a single crystal of tin selenide with a ZT of 3.1. Yet the material was difficult to make and too fragile to work with. “For practical applications, it’s a non-starter,” Kanatzidis says.

So, his team decided to make its thermoelectrics from readily available tin and selenium powders, an approach that, once processed, makes grains of polycrystalline tin selenide instead of the single crystals. The polycrystalline grains are cheap and can be heated and compressed into ingots that are 3 to 5 centimeters long, which can be made into devices. The polycrystalline ingots are also more robust, and Kanatzidis expected the boundaries between the individual grains to slow the passage of heat. But when his team tested the polycrystalline materials, the thermal conductivity shot up, dropping their ZT scores as low as 1.2.

In 2016, the Northwestern team discovered the source of the problem: an ultrathin skin of tin oxide was forming around individual grains of polycrystalline tin selenide before they were pressed into ingots. And that skin acted as an express lane for the heat to travel from grain to grain through the material. So, in their current study, Kanatzidis and his colleagues came up with a way to use heat to drive any oxygen away from the powdery precursors, leaving pristine polycrystalline tin selenide, whereas other devices can generate electricity from thin air using ambient moisture.

The result, which they report today in Nature Materials, was not only a thermal conductivity below that of single-crystal tin selenide but also a ZT of 3.1, a development that echoes nighttime renewable devices showing electricity from cold conditions. “This opens the door for new devices to be built from polycrystalline tin selenide pellets and their applications to be explored,” Kanatzidis says.

Getting through that door will still take some time. The polycrystalline tin selenide the team makes is spiked with sodium atoms, creating what is known as a “p-type” material that conducts positive charges. To make working devices, researchers also need an “n-type” version to conduct negative charges.

Zhao’s team recently reported making an n-type single-crystal tin selenide by spiking it with bromine atoms. And Kanatzidis says his team is now working on making an n-type polycrystalline version. Once n-type and p-type tin selenide devices are paired, researchers should have a clear path to making a new generation of ultra-efficient thermoelectric generators. Those could be installed everywhere from automobile exhaust pipes to water heaters and industrial furnaces to scavenge energy from some of the 65% of fossil fuel energy that winds up as waste heat. 

 

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Ontario's electricity operator kept quiet about phantom demand that cost customers millions

IESO Fictitious Demand Error inflated HOEP in the Ontario electricity market, after embedded generation was mis-modeled; the OEB says double-counted load lifted wholesale prices and shifted costs via the Global Adjustment.

 

Key Points

An IESO modeling flaw that double-counted load, inflating HOEP and charges in Ontario's wholesale market.

✅ Double-counted unmetered load from embedded generation

✅ Inflated HOEP; shifted costs via Global Adjustment

✅ OEB flagged transparency; exporters paid more

 

For almost a year, the operator of Ontario’s electricity system erroneously counted enough phantom demand to power a small city, causing prices to spike and hundreds of millions of dollars in extra charges to consumers, according to the provincial energy regulator.

The Independent Electricity System Operator (IESO) also failed to tell anyone about the error once it noticed and fixed it.

The error likely added between $450 million and $560 million to hourly rates and other charges before it was fixed in April 2017, according to a report released this month by the Ontario Energy Board’s Market Surveillance Panel.

It did this by adding as much as 220 MW of “fictitious demand” to the market starting in May 2016, when the IESO started paying consumers who reduced their demand for power during peak periods. This involved the integration of small-scale embedded generation (largely made up of solar) into its wholesale model for the first time.

The mistake assumed maximum consumption at such sites without meters, and double-counted that consumption.

The OEB said the mistake particularly hurt exporters and some end-users, who did not benefit from a related reduction of a global adjustment rate applicable to other customers.

“The most direct impact of the increase in HOEP (Hourly Ontario Energy Price) was felt by Ontario consumers and exporters of electricity, who paid an artificially high HOEP, to the benefit of generators and importers,” the OEB said.

The mix-up did not result in an equivalent increase in total system costs, because changes to the HOEP are offset by inverse changes to a electricity cost allocation mechanism such as the Global Adjustment rate, the OEB noted.


A chart from the OEB's report shows the time of day when fictitious demand was added to the system, and its influence on hourly rates.

Peak time spikes
The OEB said that the fictitious demand “regularly inflated” the hourly price of energy and other costs calculated as a direct function of it.

For almost a year, Ontario's electricity system operator @IESO_Tweets erroneously counted enough phantom demand to power a small city, causing price spikes and hundreds of millions in charges to consumers, @OntEnergyBoard says. @5thEstate reports.

It estimated the average increase to the HOEP was as much as $4.50/MWh, but that price spikes, compounded by scheduled OEB rate changes, would have been much higher during busier times, such as the mid-morning and early evening.

“In times of tight supply, the addition of fictitious demand often had a dramatic inflationary impact on the HOEP,” the report said.

That meant on one summer evening in 2016 the hourly rate jumped to $1,619/MWh, it said, which was the fourth highest in the history of the Ontario wholesale electricity market.

“Additional demand is met by scheduling increasingly expensive supply, thus increasing the market price. In instances where supply is tight and the supply stack is steep, small increases in demand can cause significant increases in the market price.

The OEB questioned why, as of September this year, the IESO had failed to notify its customers or the broader public, amid a broader auditor-regulator dispute that drew political attention, about the mistake and its effect on prices.

“It's time for greater transparency on where electricity costs are really coming from,” said Sarah Buchanan, clean energy program manager at Environmental Defence.

“Ontario will be making big decisions in the coming years about whether to keep our electricity grid clean, or burn more fossil fuels to keep the lights on,” she added. “These decisions need to be informed by the best possible evidence, and that can't happen if critical information is hidden.”

In a response to the OEB report on Monday, the IESO said its own initial analysis found that the error likely pushed wholesale electricity payments up by $225 million. That calculation assumed that the higher prices would have changed consumer behaviour, while upcoming electricity auctions were cited as a way to lower costs, it said.

In response to questions, a spokesperson said residential and small commercial consumers would have saved $11 million in electricity costs over the 11-month period, even as a typical bill increase loomed province-wide, while larger consumers would have paid an extra $14 million.

That is because residential and small commercial customers pay some costs via time-of-use rates, including a temporary recovery rate framework, the IESO said, while larger customers pay them in a way that reflects their share of overall electricity use during the five highest demand hours of the year.

The IESO said it could not compensate those that had paid too much, given the complexity of the system, and that the modelling error did not have a significant impact on ratepayers.

While acknowledging the effects of the mistake would vary among its customers, the IESO said the net market impact was less than $10 million, amid ongoing legislation to lower electricity rates in Ontario.

It said it would improve testing of its processes prior to deployment and agreed to publicly disclose errors that significantly affect the wholesale market in the future.

 

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Latvia eyes electricity from Belarus nuclear plant

Latvia Astravets electricity imports weigh AST purchases from the Belarusian nuclear plant, impacting the Baltic grid, Lithuania market, energy security, and cross-border trading as Latvia seeks to mitigate supply risks and stabilize power flows.

 

Key Points

Proposed AST purchases of power from Belarus's Astravets plant to bolster Baltic grid supply via Lithuania.

✅ AST evaluates imports to mitigate supply risk

✅ Energy could enter Lithuania via existing trading route

✅ Debate centers on nuclear safety and Baltic grid impacts

 

Latvia’s electricity transmission system operator, AST, is looking at the possibility of purchasing electricity from the soon-to-be completed Belarusian nuclear power plant in Astravets, at a time when Ukraine's electricity exports have resumed in the region, long criticised by the Lithuanian government, Belsat TV has reported.

According to the Latvian media, the Latvian government is seeking to mitigate the risk of a possible drop in electricity supplies amid price spikes in Ireland highlighting dispatchable power concerns, given that energy trading between the Baltic states and third parties is currently carried out only through the Belarusian-Lithuanian border, including Latvian imports from Lithuania.

If AST starts importing electricity from the Belarusian plant to Latvia, in a pattern similar to Georgia's electricity imports during peak demand, the energy is expected to enter the Lithuanian market as well.

Such cross-border flows also mirror responses to Central Asia's electricity shortages seen recently.

The Lithuanian government has repeatedly criticised the nuclear power over national security and environmental safety concerns, as well as a number of emergencies that took place during construction, particularly as Europe is losing nuclear power and confronting energy security challenges.

Debates over infrastructure and safety have also intensified by projects like power lines to reactivate Zaporizhzhia in Ukraine.

The first Astravets reactor, which is being built close to the Lithuanian border in the Hrodno region, is expected to be operational by the end of 2019, a year that saw Belgium's nuclear exports rise across Europe.

 

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Tackling climate change with machine learning: Covid-19 and the energy transition

Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

 

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

 

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

 

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

 

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

 

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

 

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

 

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