Why few Canadians know joys of electric cars

By Edmonton Journal


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Mike Hoskinson first drove an electric car in the early 1990s while on holiday in California. He rented GM's short-lived EV1 for the drive from Los Angeles to San Diego and survived a six-hour traffic jam while gas vehicles around him ran out of fuel.

Not long after that, GM rounded up the few hundred EV1s on the road and sent them to the car crusher, as shown in the 2006 documentary Who Killed the Electric Car? But Hoskinson has been hooked on battery power ever since. He has converted three cars, a Mazda B2000 truck run with 16 batteries, an ancient Citroen and a new Toyota Scion.

"My main reason is to reduce the environmental footprint of driving," says Hoskinson, a doctor in nuclear medicine at the University of Alberta Hospital.

A city commuter drives an average of 50 to 70 kilometres daily, well within the range of electric cars. If this driving was done with batteries and not gas, there'd be less smog, reduced greenhouse gases and quieter streets, he says.

People just have to get used to the idea of plugging in at night "like we plug in our cellphones." The big car makers have about a dozen gas-electric hybrids on the road these days, but the only way to get an electric-only, highway-capable car is to convert a gas guzzler.

It's an expensive process. Conversion kits, designed and built by a small B.C. company, Canada Electric Vehicles, cost $9,000 to $12,500.

Hoskinsons's new Scion is more expensive as it includes $18,000 for high-end, lithium-ion batteries that will double its range to 150 km. The total for the Scion conversion is $55,000, including the new car, the electric motor, batteries and labour.

Hoskinson figures it costs him $2 in electricity to go 100 km, versus about $10.80 for the average gasoline car, assuming a fuel efficiency of eight km/litre and gasoline prices around $1.35/litre.

He's also a bit of a mechanic, which helps when it comes to checking batteries and connections. There are no corner garages for electric car owners.

In Nanaimo, Randy Holmquist, owner of Canadian Electric Vehicles, says he sells about two conversion kits a week. That's up from about two kits a month before gas prices jumped.

The basic kit is designed for a Chevy S10 pickup truck and also fits other vehicles. Converted cars travel at speeds of 120-140 km/h on the highway and have a range of 60-80 km with regular lead acid batteries.

Hoskinson's Scion will be one of the last for Holmquist. He's getting out of the conversion business to spend more time building his Might-E electric truck.

Holmquist designed the small, low-speed truck, and builds a handful each year in his small shop. The University of British Columbia uses 10 on campus to replace gas-guzzling maintenance vans.

But Holmquist sends most of his trucks into the U.S., where the regulatory climate is more flexible. His trucks can be sold south of the border, along with Canadian-made electric, low-speed passenger vehicles that are not allowed on Canadian streets.

The U.S. has been quicker to open doors to these vehicles than Canada.

In 2000, Transport Canada created the new Low-Speed Vehicle category to stay in line with the U.S. Both countries initially excluded small trucks from the LSV category.

But the U.S. has reversed itself and now allows LSV trucks on the market and on public roads in some states.

It's taking longer in Canada. In December 2007, Transport Canada finally announced it is ready to include small trucks in the LSV category. After a 90-day public consultation, the federal department is now analyzing the public submissions to make a final decision.

Holmquist says the policy change is critical for his business and he's been waiting for four years to starting marketing.

So imagine his surprise in June when a U.S. competitor was allowed to bring an electric truck into Vancouver for a promotion, yet his own Might-E trucks are not allowed to be marketed. The U.S. vehicle, is made by a Minnesota company, E-Ride.

Transport Canada says it did not give authorization and there was a "misunderstanding" by the importer.

Holmquist is clear about what he wants: "All we're asking for is a level playing field. We're Canadian and we should get equal opportunity." Under Canadian regulations, LSV electric trucks and passenger vehicles are deemed unsafe for public roads.

Holmquist has no problem with that restriction for his trucks. But that's a sticking point for Canada's fledgling manufacturers of LSV passenger vehicles like Dynasty and ZENN whose vehicles run on public roads in more than 40 U.S states.

It's been a tough road, says Holmquist. "The most frustrating thing is the government is squawking green and yet there isn't one Might-E truck in the federal fleet," though military bases and National Parks parks would be prime locations.

"I've sort of given up on Canada," he says.

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Taiwan's economic minister resigns over widespread power outage

Taiwan Power Blackout disrupts Taipei and commercial hubs after a Taoyuan natural gas plant error, triggering nationwide outage, grid failure, elevator rescues, power rationing, and the economic minister's resignation, as CPC Corporation restores supply.

 

Key Points

A nationwide Taiwan outage from human error at a Taoyuan gas plant, triggering rationing and a minister's resignation.

✅ Human error disrupted natural gas supply at Taoyuan plant

✅ 6.68 million users affected; grid failure across cities

✅ Minister Lee resigned; President Tsai ordered a review

 

Taiwan's economic minister resigned after power was knocked out in many parts of Taiwan, with regional parallels such as China power cuts highlighting grid vulnerabilities, including capital Taipei's business and high-end shopping district, due to an apparent "human error" at a key power plant.

Economic Affairs minister Lee Chih-kung tendered his resignation verbally to Premier Lin Chuan, United Daily News reported, citing a Cabinet spokesman. Lin accepted the resignation, the spokesman said according to the daily.

As many as 6.68 million households and commercial units saw their power supply cut or disrupted on Tuesday after "human error" disrupted natural gas supply at a power plant in northern Taiwan's Taoyuan, the semi-official Central News Agency reported, citing the government-controlled oil company CPC Corporation as saying.

The company added that power at the plant, Taiwan's biggest natural gas power plant, resumed two minutes later.

In New Taipei City, there were at least 27,000 reported cases of people being stuck in lifts. Photos in social media also showed huge crowds stranded in lift lobby in Taipei's iconic 101-storey Taipei 101 building.

Power rationing was implemented beginning 6pm, and, as seen in the National Grid short supply warning in other markets, such steps aim to stabilize supply, Central News Agency said. Power supply was gradually being restored beginning at about 9:40pm. news reports said.

President Tsai Ing-wen apologised for the blackout, noting parallels with Japan's near-blackouts that underscored grid resilience, and said that she has ordered all relevant departments to produce clear report in the shortest time possible.

"Electricity is not just a problem about people's livelihoods but also a national security issue. A comprehensive review must be carried out to find out how the electric power system can be so easily paralysed by human error," said Ms Tsai in a Facebook post.

Taiwan has been at risk of a power shortage after a recent typhoon knocked down a power transmission tower in Hualien county along the eastern coast of Taiwan, rather than a demand-driven slowdown like the China power demand drop during pandemic factory shutdowns. This reduced the electricity supply by 1.3million kilowatts, or about 4 per cent of the operating reserve.

That was followed by the breakdown of a power generator at Taiwan's largest power plant, which further reduced the operating reserve by 1.5 per cent.

The situation is worsened by the ongoing heatwave that has hit Taiwan, with temperatures soaring to 38 degrees Celsius over the past week.

As a result, the government had imposed the rationing of electricity, and, highlighting how regional strains such as China's power woes can ripple into global markets, switched off all air-conditioning in many of its Taipei offices, a move that drew some public backlash.

 

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Big prizes awarded to European electricity prediction specialists

Electricity Grid Flow Prediction leverages big data, machine learning, and weather analytics to forecast power flows across smart grids, enhancing reliability, reducing blackouts and curtailment, and optimizing renewable integration under EU Horizon 2020 innovation.

 

Key Points

Short-term forecasting of power flows using big data, weather inputs, and machine learning to stabilize smart grids.

✅ Uses big data, weather, and ML for 6-hour forecasts

✅ Improves reliability, cuts blackouts and energy waste

✅ Supports smart grids, renewables, and grid balancing

 

Three European prediction specialists have won prizes worth €2 million for developing the most accurate predictions of electricity flow through a grid

The three winners of the Big Data Technologies Horizon Prize received their awards at a ceremony on 12th November in Austria.

The first prize of €1.2 million went to Professor José Vilar from Spain, while Belgians Sofie Verrewaere and Yann-Aël Le Borgne came in joint second place and won €400,000 each.

The challenge was open to individuals groups and organisations from countries taking part in the EU’s research and innovation programme, Horizon 2020.

Carlos Moedas, Commissioner for Research, Science and Innovation, said: “Energy is one of the crucial sectors that are being transformed by the digital grid worldwide.

“This Prize is a good example of how we support a positive transformation through the EU’s research and innovation programme, Horizon 2020.

“For the future, we have designed our next programme, Horizon Europe, to put even more emphasis on the merger of the physical and digital worlds across sectors such as energy, transport and health.”

The challenge for the applicants was to create AI-driven software that could predict the likely flow of electricity through a grid taking into account a number of factors including the weather and the generation source (i.e. wind turbines, solar cells, etc).

Using a large quantity of data from electricity grids, EU smart meters, combined with additional data such as weather conditions, applicants had to develop software that could predict the flow of energy through the grid over a six-hour period.

Commissioner for Digital Economy and Society Mariya Gabriel said: “The wide range of possible applications of these winning submissions could bring tangible benefits to all European citizens, including efforts to tackle climate change with machine learning across sectors.”

The decision to focus on energy grids for this particular prize was driven by a clear market need, including expanding HVDC technology capabilities.

Today’s energy is produced at millions of interconnected and dispersed unpredictable sites such as wind turbines, solar cells, etc., so it is harder to ensure that electricity supply matches the demand at all times.

This complexity means that huge amounts of data are produced at the energy generation sites, in the grid and at the place where the energy is consumed.

Being able to make accurate, short-term predictions about power grid traffic is therefore vital to reduce the risks of blackouts or, by enabling utilities to use AI for energy savings, limit waste of energy.

Reliable predictions can also be used in fields such as biology and healthcare. The predictions can help to diagnose and cure diseases as well as to allocate resources where they are most needed.

Ultimately, the winning ideas are set to be picked up by the energy sector in the hopes of creating smarter electricity infrastructure, more economic and more reliable power grids.

 

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Invest in Hydropower to Tackle Coronavirus and Climate Crisis Impacts

Hydropower Covid-19 Resilience highlights clean, reliable energy and flexible grid services, with pumped storage, automation, and affordability supporting climate action, decarbonization, and recovery through sustainable infrastructure, policy incentives, and capacity upgrades.

 

Key Points

Hydropower Covid-19 Resilience is the sector's ability to ensure clean, reliable, flexible power during crises.

✅ Record 4,306 TWh in 2019, avoiding 80-100 Mt CO2e emissions.

✅ 1,308 GW installed; 15.6 GW added; flexibility and storage in demand.

✅ Policy, tax incentives, and fast-track approvals to spur projects.

 

The Covid-19 pandemic has underlined hydropower's resilience and critical role in delivering clean, reliable and affordable energy, especially in times of crisis, as highlighted by IAEA lessons for low-carbon electricity. This is the conclusion of two new reports published by the International Hydropower Association (IHA).

The 2020 Hydropower Status Report presents latest worldwide installed capacity and generation data, showcasing the sector's contribution to global carbon reduction efforts, with low-emissions sources projected to cover almost all demand increases in the next three years. It is published alongside a Covid-19 policy paper featuring recommendations for governments, financial institutions and industry to respond to the current health and economic crisis.

"Preventing an emergency is far better than responding to one," says Roger Gill, President of IHA, highlighting the need to incentivise investments in renewable infrastructure, a view echoed by Fatih Birol during the crisis. "The events of the past few months must be a catalyst for stronger climate action, including greater development of sustainable hydropower."

Now in its seventh edition, the Hydropower Status Report shows electricity generation hit a record 4,306 terawatt hours (TWh) in 2019, the single greatest contribution from a renewable energy source in history, aligning with the outlook that renewables to surpass coal by 2025.

The annual rise of 2.5 per cent (106 TWh) in hydroelectric generation - equivalent to the entire electricity consumption of Pakistan - helped to avoid an estimated additional 80-100 million metric tonnes of greenhouse gases being emitted last year.

The report also highlights:

* Global hydropower installed capacity reached 1,308 gigawatts (GW) in 2019, as 50 countries completed greenfield and upgrade projects, including pumped storage and repowering old dams in some regions.

* A total of 15.6 GW in installed capacity was added in 2019, down on the 21.8 GW recorded in 2018. This represents a rise of 1.2 per cent, which is below the estimated 2.0 per cent growth rate required for the world to meet Paris Agreement carbon reduction targets.

* India has overtaken Japan as the fifth largest world hydropower producer with its total installed capacity now standing at over 50 GW. The countries with the highest increases in were Brazil (4.92 GW), China (4.17 GW) and Laos (1.89 GW).

* Hydropower's flexibility services have been in high demand during the Covid-19 crisis, even as global demand dipped 15% globally, while plant operations have been less affected due to the degree of automation in modern facilities.

* Hydropower developments have not been immune to economic impacts however, with the industry facing widespread uncertainty and liquidity shortages which have put financing and refinancing of some projects at risk.

In a companion policy paper, IHA sets out the immediate impacts of the crisis on the sector, noting how European responses to Covid-19 have accelerated the electricity system transition, as well as recommendations to assist governments and financial institutions and enhance hydropower's contribution to the recovery.

The recommendations include:

  • Increasing the ambition of renewable energy and climate change targets which incorporate the role of sustainable hydropower development.
  • Supporting sustainable hydropower through introducing appropriate financial measures such as tax incentives to ensure viable and shovel-ready projects can commence.
  • Fast-tracking planning approvals to ensure the development and modernisation of hydropower projects can commence as soon as possible, in line with internationally recognised sustainability guidelines.
  • Safeguarding investment by extending deadlines for concession agreements and other awarded projects.
  • Given the increasing need for long-duration energy storage such as pumped storage, working with regulators and system operators to develop appropriate compensation mechanisms for hydropower's flexibility services.

 

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How utilities are using AI to adapt to electricity demands

AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

 

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

 

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

 

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US Grid Gets an Overhaul for Renewables

FERC Transmission Planning Overhaul streamlines interregional grid buildouts, enabling high-voltage lines, renewable integration, and grid reliability to scale, cutting fossil reliance while boosting decarbonization, climate resilience, and affordability across regions facing demand and extreme weather.

 

Key Points

Federal rule updating interregional grid planning to integrate renewables, share costs, and improve reliability.

✅ Accelerates high-voltage, interregional lines for renewable transfer

✅ Optimizes transmission planning and cost allocation frameworks

✅ Boosts grid reliability, resilience, and emissions reductions

 

The US took a significant step towards a cleaner energy future on May 13th, 2024. The Federal Energy Regulatory Commission (FERC) approved the first major update to the country's electric transmission policy in over a decade, while congressional Democrats continue to push for action on aggregated DERs within FERC's remit today. This overhaul aims to streamline the process of building new power lines, specifically those that connect different regions. This improved connectivity is crucial for integrating more renewable energy sources like wind and solar into the national grid.

The current system faces challenges in handling the influx of renewables, and the aging U.S. grid amplifies those hurdles today. Renewable energy sources are variable by nature – the sun doesn't always shine, and the wind doesn't always blow. Traditionally, power grids have relied on constantly running power plants, like coal or natural gas, to meet electricity demands. These plants can be easily adjusted to produce more or less power as needed. However, renewable energy sources require a different approach.

The new FERC policy focuses on building more interregional transmission lines. These high-voltage power lines would allow electricity generated in regions with abundant solar or wind power, and even enable imports of green power from Canada in certain corridors, to be transmitted to areas with lower renewable energy resources. For example, solar energy produced in sunny states like California could be delivered to meet peak demand on the East Coast during hot summer days.

This improved connectivity offers several advantages. Firstly, it allows for a more efficient use of renewable resources. Secondly, it reduces the need for fossil fuel-based power plants, leading to cleaner air and lower greenhouse gas emissions. Finally, a more robust grid is better equipped to handle extreme weather events, which are becoming increasingly common due to climate change, and while Biden's climate law shows mixed results on decarbonization, stronger transmission supports resilience.

The need for an upgrade is undeniable. The Biden administration has set ambitious goals for decarbonizing the power sector by 2035, including proposals for a clean electricity standard as a pathway to those targets. A study by the US Department of Energy estimates that achieving this target will require more than doubling the country's regional transmission capacity and increasing interregional capacity by more than fivefold. The aging US grid is already struggling to keep up with current demands, and without significant improvements, it could face reliability issues in the future.

The FERC's decision has been met with praise from environmental groups and renewable energy companies. They see it as a critical step towards achieving a clean energy future. However, some stakeholders, including investor-owned utilities, have expressed concerns about the potential costs associated with building new transmission lines, citing persistent barriers to development identified in recent Senate testimony. Finding the right balance between efficiency, affordability, and environmental responsibility will be key to the success of this initiative.

The road ahead won't be easy. Building new power lines is a complex process that can face opposition from local communities, and broader disputes over electricity pricing changes often complicate planning and approvals. However, the potential benefits of a modernized grid are significant. By investing in this overhaul, the US is taking a crucial step towards a more reliable, sustainable, and cleaner energy future.

 

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IAEA Reviews Belarus’ Nuclear Power Infrastructure Development

Belarus Nuclear Power Infrastructure Review evaluates IAEA INIR Phase 3 readiness at Ostrovets NPP, VVER-1200 reactors, legal and regulatory framework, commissioning, safety, emergency preparedness, and energy diversification in a low-carbon program.

 

Key Points

An IAEA INIR Phase 3 assessment of Belarus readiness to commission and operate the Ostrovets NPP with VVER-1200 units.

✅ Reviews legal, regulatory, and institutional arrangements

✅ Confirms Phase 3 readiness for safe commissioning and operation

✅ Highlights good practices in peer reviews and emergency planning

 

An International Atomic Energy Agency (IAEA) team of experts today concluded a 12-day mission to Belarus to review its infrastructure development for a nuclear power programme. The Integrated Nuclear Infrastructure Review (INIR) was carried out at the invitation of the Government of Belarus.

Belarus, seeking to diversify its energy production with a reliable low-carbon source, and aware of the benefits of energy storage for grid flexibility, is building its first nuclear power plant (NPP) at the Ostrovets site, about 130 km north-west of the capital Minsk. The country has engaged with the Russian Federation to construct and commission two VVER-1200 pressurised water reactors at this site and expects the first unit to be connected to the grid this year.

The INIR mission reviewed the status of nuclear infrastructure development using the Phase 3 conditions of the IAEA’s Milestones Approach. The Ministry of Energy of Belarus hosted the mission.

The INIR team said Belarus is close to completing the required nuclear power infrastructure for starting the operation of its first NPP. The team made recommendations and suggestions aimed at assisting Belarus in making further progress in its readiness to commission and operate it, including planning for integration with variable renewables, as advances in new wind turbines are being deployed elsewhere to strengthen the overall energy mix.

“This mission marks an important step for Belarus in its preparations for the introduction of nuclear power,” said team leader Milko Kovachev, Head of the IAEA’s Nuclear Infrastructure Development Section. “We met well-prepared, motivated and competent professionals ready to openly discuss all infrastructure issues. The team saw a clear drive to meet the objectives of the programme and deliver benefits to the Belarusian people, such as supporting the country’s economic development, including growth in EV battery manufacturing sectors.”

The team comprised one expert from Algeria and two experts from the United Kingdom, as well as seven IAEA staff. It reviewed the status of 19 nuclear infrastructure issues using the IAEA evaluation methodology for Phase 3 of the Milestones Approach, noting that regional integration via an electricity highway can shape planning assumptions as well. It was the second INIR mission to Belarus, who hosted a mission covering Phases 1 and 2 in 2012.

Prior to the latest mission, Belarus prepared a Self-Evaluation Report covering all infrastructure issues and submitted the report and supporting documents to the IAEA.

The team highlighted areas where further actions would benefit Belarus, including the need to improve institutional arrangements and the legal and regulatory framework, drawing on international examples of streamlined licensing for advanced reactors to ensure a stable and predictable environment for the programme; and to finalize the remaining arrangements needed for sustainable operation of the nuclear power plant.

The team also identified good practices that would benefit other countries developing nuclear power in the areas of programme and project coordination, the use of independent peer reviews, cooperation with regulators from other countries, engagement with international stakeholders and emergency preparedness, and awareness of regional initiatives such as new electricity interconnectors that can enhance system resilience.

Mikhail Chudakov, IAEA Deputy Director General and Head of the Department of Nuclear Energy attended the Mission’s closing meeting. “Developing the infrastructure required for a nuclear power programme requires significant financial and human resources, and long lead times for preparation and the approval of major transmission projects that support clean power flows, and the construction activities,” he said. “Belarus has made commendable progress since the decision to launch a nuclear power programme 10 years ago.”

“Hosting the INIR mission, Belarus demonstrated its transparency and genuine interest to receive an objective professional assessment of the readiness of its nuclear power infrastructure for the commissioning of the country’s first nuclear power plant,” said Mikhail Mikhadyuk, Deputy Minister of Energy of the Republic of Belarus. ”The recommendations and suggestions we received will be an important guidance for our continuous efforts aimed at ensuring the highest level of safety and reliability of the Belarusian NPP."
 

 

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