DOE chief bats for balanced energy mix

By Manila Times


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THE Philippines will need both coal and renewable energy RE to meet its power supply requirements, the country's new energy chief said on Monday.

As a developing country, Philippines cannot afford not to have coal and will need to come up with "a healthy balance of coal and renewable power plants," Department of Energy DOE Secretary Alfonso Cusi said.

"We lack capacity for dependable power. We can't just merely rely on renewables for now," Cusi said after the DOE turnover ceremony in Taguig City on Monday.

"We cannot just discount coal. We have to help one another find that solution. I'm sure Ms. Gina Lopez is open to a solution to adequate power supply," Cusi told reporters in reaction to new Environment Secretary Gina Lopez's campaign against coal mining and the use of fossil fuels as energy sources.

Under the previous administration former President Benigno Aquino 3rd, the government was targeting a fuel mix of 30 percent from coal, 30 percent from RE, 30 percent from natural gas, and the remaining 10 percent from oil-based power plants.

The fuel mix goal was aimed at reducing the country's coal dependence. But the Duterte administration seeks to review current energy policies to create a policy framework that would be conducive to and stimulate balanced energy investments.

"Coal is more dependable and a more reliable source for baseload [power] than renewables. We can't be dependent on just a single source," Cusi said.

Based on DOE data, 70 percent of the 5,000 megawatts MW of power-generating capacity that are being built and will be built until 2020 are coal-based. Also, data show that there are around 20 coal-fired power plants operating in the country today.

Last year, the Philippines submitted its Intended Nationally Determined Contribution INDC to the United Nations, committing to cut by 70 percent its carbon emissions by 2030.

Cusi also vowed to review current electricity charges, which include transmission, distribution, generation, the socalled universal charge, and others.

He said he also wanted to take a look at the electricity being charged for the depressed areas where the less privileged may be exploited by the unscrupulous.

"We will review the service contracts, check for deliverables, power reserves and interconnectivity," he said.

Cusi is also looking at the possibility of converting the Bataan Nuclear Power Plant into an LNG liquified natural gas terminal, but made it clear he has no plans of reviving the nuclear plant. During his term, the interconnection of the Mindanao Grid to the Visayas and Luzon grids may happen, although this project is still under review.

The priority is to increase and boost power supply, he said. Mindanao is only 72 percent energized and the target is to make it 100 percent, he added.

Cusi also brushed aside criticisms about his qualifications to head the DOE.

"You don't have to be an energy man to lead the DOE. I need to be a manager. I'll be coming from a perspective of a consumer," he said. Cusi added that there will be changes in the leadership of attached agencies and DOE undersecretaries "but not for now."

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BloombergNEF: World offshore wind costs 'drop 32% per cent'

Global Renewable LCOE Trends reveal offshore wind costs down 32%, with 10MW turbines, lower CAPEX and OPEX, and parity for solar PV and onshore wind in Europe, China, and California, per BloombergNEF analysis.

 

Key Points

Benchmarks showing falling LCOE for offshore wind, onshore wind, and solar PV, driven by larger turbines and lower CAPEX

✅ Offshore wind LCOE $78/MWh; $53-64/MWh in DK/NL excl. transmission

✅ Onshore wind $47/MWh; solar PV $51/MWh, best $26-36/MWh

✅ Cost drivers: 10MW turbines, lower CAPEX/OPEX, weak China demand

 

World offshore wind costs have fallen 32% from just a year ago and 12% compared with the first half of 2019, according to a BNEF long-term outlook from BloombergNEF.

In its latest Levelized Cost of Electricity (LCOE) Update, BloombergNEF said its current global benchmark LCOE estimate for offshore wind is $78 a megawatt-hour.

“New offshore wind projects throughout Europe, including the UK's build-out, now deploy turbines with power ratings up to 10MW, unlocking CAPEX and OPEX savings,” BloombergNEF said.

In Denmark and the Netherlands, it expects the most recent projects financed to achieve $53-64/MWh excluding transmission.

New solar and onshore wind projects have reached parity with average wholesale power prices in California and parts of Europe, while in China levelised costs are below the benchmark average regulated coal price, according to BloombergNEF.

The company's global benchmark levelized cost figures for onshore wind and PV projects financed in the last six months are at $47 and $51 a megawatt-hours, underscoring that renewables are now the cheapest new electricity option in many regions, down 6% and 11% respectively compared with the first half of 2019.

BloombergNEF said for wind this is mainly down to a fall in the price of turbines – 7% lower on average globally compared with the end of 2018.

In China, the world’s largest solar market, the CAPEX of utility-scale PV plants has dropped 11% in the last six months, reaching $0.57m per MW.

“Weak demand for new plants in China has left developers and engineering, procurement and construction firms eager for business, and this has put pressure on CAPEX,” BloombergNEF said.

It added that estimates of the cheapest PV projects financed recently – in India, Chile and Australia – will be able to achieve an LCOE of $27-36/MWh, assuming competitive returns for their equity investors.

Best-in-class onshore wind farms in Brazil, India, Mexico and Texas can reach levelized costs as low as $26-31/MWh already, the research said.

Programs such as the World Bank wind program are helping developing countries accelerate wind deployment as costs continue to drop.

BloombergNEF associate in the energy economics team Tifenn Brandily said: “This is a three- stage process. In phase one, new solar and wind get cheaper than new gas and coal plants on a cost-of- energy basis.

“In phase two, renewables reach parity with power prices. In phase three, they become even cheaper than running existing thermal plants.

“Our analysis shows that phase one has now been reached for two-thirds of the global population.

“Phase two started with California, China and parts of Europe. We expect phase three to be reached on a global scale by 2030.

“As this all plays out, thermal power plants will increasingly be relegated to a balancing role, looking for opportunities to generate when the sun doesn’t shine or the wind doesn’t blow.”

 

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Tracking Progress on 100% Clean Energy Targets

100% Clean Energy Targets drive renewable electricity, decarbonization, and cost savings through state policies, CCAs, RECs, and mandates, with timelines and interim goals that boost jobs, resilience, and public health across cities, counties, and utilities.

 

Key Points

Policies for cities and states to reach 100% clean power by set dates, using mandates, RECs, and interim goals.

✅ Define eligible clean vs renewable resources

✅ Mandate vs goal framework with enforcement

✅ Timelines with interim targets and escape clauses

 

“An enormous amount of authority still rests with the states for determining your energy future. So we can build these policies that will become a postcard from the future for the rest of the country,” said David Hochschild, chair of the California Energy Commission, speaking last week at a UCLA summit on state and local progress toward 100 percent clean energy.

According to a new report from the UCLA Luskin Center for Innovation, 13 states, districts and territories, as well as more than 200 cities and counties, with standout clean energy purchases by Southeast cities helping drive momentum, have committed to a 100 percent clean electricity target — and dozens of cities have already hit it.

This means that one of every three Americans, or roughly 111 million U.S. residents representing 34 percent of the population, live in a community that has committed to or has already achieved 100 percent clean electricity, including communities like Frisco, Colorado that have set ambitious targets.

“We’re going to look back on this moment as the moment when local action and state commitments began to push the entire nation toward this goal,” said J.R. DeShazo, director of the UCLA Luskin Center for Innovation.

Not all 100 percent targets are alike, however. The report notes that these targets vary based on 1) what resources are eligible, 2) how binding the 100 percent target is, and 3) how and when the target will be achieved.

These distinctions will carry a lot of weight as the policy discussion shifts from setting goals to actually meeting targets. They also have implications for communities in terms of health benefits, cost savings and employment opportunities.

 

100% targets come in different forms

One key attribute is whether a target is based on "renewable" or "clean" energy resources. Some 100 percent targets, like Hawaii’s and Rhode Island’s 2030 plan, are focused exclusively on renewable energy, or sources that cannot be depleted, such as wind, solar and geothermal. But most jurisdictions use the broader term “clean energy,” which can also include resources like large hydroelectric generation and nuclear power.

States also vary in their treatment of renewable energy certificates, used to track and assign ownership to renewable energy generation and use. Unbundled RECs allow for the environmental attributes of the renewable energy resource to be purchased separately from the physical electricity delivery.

The binding nature of these targets is also noteworthy. Seven states, as well as Puerto Rico and the District of Columbia, have passed 100 percent clean energy transition laws. Of the jurisdictions that have passed 100 percent legislation, all but one specifies that the target is a “mandate,” according to the report. Nevada is the only state to call the target a “goal.”

Governors in four other states have signed executive orders with 100 percent clean energy goals.

Target timelines also vary. Washington, D.C. has set the most ambitious target date, with a mandate to achieve 100 percent renewable electricity by 2032. Other states and cities have set deadline years between 2040 and 2050. All "100 percent" state laws, and some city and county policies, also include interim targets to keep clean energy deployment on track.

In addition, some locations have included some form of escape clause. For instance, Salt Lake City, which last month passed a resolution establishing a goal of powering the county with 100 percent clean electricity by 2030, included “exit strategies” in its policy in order to encourage stakeholder buy-in, said Mayor Jackie Biskupski, speaking last week at the UCLA summit.

“We don’t think they’ll get used, but they’re there,” she said.

Other locales, meanwhile, have decided to go well beyond 100 percent clean electricity. The State of California and 44 cities have set even more challenging targets to also transition their entire transportation, heating and cooling sectors to 100 percent clean energy sources, and proposals like requiring solar panels on new buildings underscore how policy can accelerate progress across sectors.

Businesses are simultaneously electing to adopt more clean and renewable energy. Six utilities across the United States have set their own 100 percent clean or carbon-free electricity targets. UCLA researchers did not include populations served by these utilities in their analysis of locations with state and city 100 percent clean commitments.

 

“We cannot wait”

All state and local policies that require a certain share of electricity to come from renewable energy resources have contributed to more efficient project development and financing mechanisms, which have supported continued technology cost declines and contributed to a near doubling of renewable energy generation since 2008.

Many communities are switching to clean energy in order to save money, now that the cost calculation is increasingly in favor of renewables over fossil fuels, as more jurisdictions get on the road to 100% renewables worldwide. Additional benefits include local job creation, cleaner air and electricity system resilience due to greater reliance on local energy resources.

Another major motivator is climate change. The electricity sector is responsible for 28 percent of U.S. greenhouse gas emissions, second only to transportation. Decarbonizing the grid also helps to clean up the transportation sector as more vehicles move to electricity as their fuel source.

“The now-constant threat of wildfires, droughts, severe storms and habitat loss driven by climate change signals a crisis we can no longer ignore,” said Carla Peterman, senior vice president of regulatory affairs at investor-owned utility Southern California Edison. “We cannot wait and we should not wait when there are viable solutions to pursue now.”

Prior to joining SCE on October 1, Peterman served as a member of the California Public Utilities Commission, which implements and administers renewable portfolio standard (RPS) compliance rules for California’s retail sellers of electricity. California’s target requires 60 percent of the state’s electricity to come from renewable energy resources by 2030, and all the state's electricity to come from carbon-free resources by 2045.  

 

How CCAs are driving renewable energy deployment

One way California communities are working to meet the state’s ambitious targets is through community-choice aggregation, especially after California's near-100% renewable milestone underscored what's possible, via which cities and counties can take control of their energy procurement decisions to suit their preferences. Investor-owned utilities no longer purchase energy for these jurisdictions, but they continue to operate the transmission and distribution grid for all electricity users.                           

A second paper released by the Luskin Center for Innovation in recent days examines how community-choice aggregators are affecting levels of renewable energy deployment in California and contributing to the state’s 100 percent target.

The paper finds that 19 CCAs have launched in California since 2010, growing to include more than 160 towns, cities and counties. Of those communities, 64 have a 100 percent renewable or clean energy policy as their default energy program.

Because of these policies, the UCLA paper finds that “CCAs have had both direct and indirect effects that have led to increases in the clean energy sold in excess of the state’s RPS.”

From 2011 to 2018, CCAs directly procured 24 terawatt-hours of RPS-eligible electricity, 11 TWh of which have been voluntary or in excess of RPS compliance, according to the paper.

The formation of CCAs has also had an indirect effect on investor-owned utilities. As customers have left investor-owned utilities to join CCAs, the utilities have been left holding contracts for more renewable energy than they need to comply with California’s clean energy targets, amid rising solar and wind curtailments that complicate procurement decisions. UCLA researchers estimate that this indirect effect of CCA formation has left IOUs holding 13 terawatt-hours in excess of RPS requirements.

The paper concludes that CCAs have helped to accelerate California’s ability to meet state renewable energy targets over the past decade. However, the future contributions of CCAs to the RPS are more uncertain as communities make new power-purchasing decisions and utilities seek to reduce their excess renewable energy contracts.

“CCAs offer a way for communities to put their desire for clean energy into action. They're growing fast in California, one of only eight states where this kind of mechanism is allowed," said UCLA's Kelly Trumbull, an author of the report. "State and federal policies could be reformed to better enable communities to meet local demand for renewable energy.”

 

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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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Ontario Government Consults On Changes To Industrial Electricity Pricing And Programs

Ontario electricity pricing consultations will gather business input on OEB rate design, Industrial Conservation Initiative, dynamic pricing, global adjustment, and system costs through online feedback and sector-specific in-person sessions province-wide.

 

Key Points

Consultations gathering business input on rates, programs, and OEB policy to improve fairness and reduce system costs.

✅ Consults on ICI, GA, dynamic pricing structures

✅ Seeks views on OEB C&I rate design changes

✅ In-person sessions across key industrial sectors

 

The Ontario government has announced plans to hold consultations to seek input from businesses about industrial electricity pricing and programs. This will be done through Ontario's online consultations directory and though in-person sector-specific consultation sessions across the province. The in-person sessions will be held in all areas of Ontario, and will target "key industries," including automotive and the build-out of electric vehicle charging stations infrastructure, forestry, mining, agriculture, steel, manufacturing and chemicals.

On April 1, 2019, the Ontario government published a consultation notice for this process, confirming that it is looking for input on "electricity rate design, existing tax-based incentives, reducing system costs and regulatory and delivery costs," including related proposals such as the hydrogen rate reduction proposal under discussion. The consultation process includes a list of nine questions for respondents (and presumably participants in the in-person sessions) to address. These include questions about:

The benefits of the Industrial Conservation Initiative (described below), including how it could be changed to improve fairness and industrial competitiveness, and how it could complement programs like the Hydrogen Innovation Fund that support industrial innovation.

Dynamic pricing structures that allow for lower rates in return for responding to price signals versus a flat rate structure that potentially costs more, but is more stable and predictable, as Ontario's energy storage expansion accelerates.

Interest in an all-in commodity contract with an electricity retailer, even if it involves a risk premium.

Interested parties are invited to submit their comments before May 31, 2019.

The government's consultation announcement follows recent developments in the Ontario Energy Board's (OEB) review of electricity ratemaking for commercial and industrial customers, and intertie projects such as the Lake Erie Connector that could affect market dynamics.

In December 2018, the OEB published a paper from its Market Surveillance Panel (MSP) examining the Industrial Conservation Initiative (ICI), and potential alternative approaches. The ICI is a program that allows qualifying large industrial customers to base their global adjustment (GA) payments on their consumption during five peak demand hours in a year. Customers who find ways to reduce consumption at those times, perhaps through DERs and enabling energy storage options, will reduce their electricity costs. This shifts GA costs to other customers. The MSP found that the ICI does not fairly allocate costs to those who cause them and/or benefit from them, and recommends that a better approach should be developed.

In February 2019, the OEB released its Staff Report to the Board on Rate Design for Commercial and Industrial Electricity Customers, setting out recommendations for new rate designs for electricity commercial and industrial (C&I) rate classes as Ontario increasingly turns to battery storage to meet rising demand. As described in an earlier post, the Staff Report includes recommendations to: (i) establish a fixed distribution charge for commercial customers with demands under 10 kW; (ii) implement a demand charge (rather than the current volumetric charge) for C&I customers with demands between 10kW and 50kW; and (iii) introduce a "capacity reserve charge" for customers with load displacement generation to replace stand-by charges and provide for recognition of the benefits of this generation on the system. The OEB held a stakeholder information session in mid-March on this initiative, and interested parties are now filing submissions in response to the Staff Report.

Whether and how the OEB's processes will fit together with the government's consultation process remains to be seen.

 

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India to Ration Coal Supplies as Electricity Demand Surges

India Coal Supply Rationing redirects shipments from high-inventory power plants to stations facing shortages as electricity demand surges, inventories fall, and outages persist; Coal India, NTPC imports, and smaller mines bolster domestic supply.

 

Key Points

A temporary policy redirecting coal from high-stock plants to shortage-hit plants amid rising demand

✅ Shipments halted 1 week to plants with >14 days coal stock

✅ Smaller mines asked to raise output; NTPC to import 270,000 tons

✅ Outages at Adani and Tata Mundra units pressure domestic supply

 

India will ration coal supplies to power plants with high inventories to direct more shipments to stations battling shortages, even as shortages ease in some regions, as surging demand outstrips production.

Supplies to plants with more than two weeks’ coal inventory will be halted for a week, a team headed by federal Coal Secretary Alok Kumar decided on Saturday, the Power Ministry said in a statement. The government has also requested smaller mines to raise output to supplement shipments from state miner Coal India Ltd., and is taking steps to get nuclear back on track to diversify the energy mix.

A jump in electricity consumption spurred by a reviving economy and an extended summer, after an earlier steep demand decline in India, is driving demand for coal, which helps produce about 70% of the nation’s electricity. The surge in demand complicates India’s clean-energy transition efforts amid solar supply headwinds that cloud near-term alternatives, and may bolster arguments favoring the country’s dependence on coal to fuel economic growth.

“There’s no doubt India will continue to need coal for stable power for years,” said Rupesh Sankhe, vice president at Elara Capital India Pvt. in Mumbai. “Plants that meet environmental standards and are able to produce power efficiently will see utilization rising, but I doubt we’re going to have many new coal plants.”  

Coal stockpiles at the country’s power plants had fallen to 14.7 million tons as of Aug. 24, tumbling 62% from a year earlier, according to the latest data from the Central Electricity Authority. More than 88 gigawatts of generation plants, about half the capacity monitored by the power ministry, had inventories of six days or less as of that date, the data show. Power demand jumped 10.5% in July from a year earlier, even as global electricity use dipped 15% during the pandemic, according to the government.
Outages at some large plants that run on imported coal have increased the burden on those that burn domestic supplies, aiding shortfalls.

Adani Power Ltd. had almost 2 gigawatts of capacity in outage at its Mundra plant in Gujarat at the start of the week, while Tata Power Co. Ltd. had shut 80% of its 4-gigawatt plant in the same town for maintenance, power ministry data show.

NTPC Ltd., the largest power generator, will import the 270,000 tons of coal it left out from contracts placed earlier to mitigate the fuel shortage, reflecting higher imported coal volumes this fiscal, the power ministry said in a separate statement.

 

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Quebec Hit by Widespread Power Outages Following Severe Windstorm

Quebec Windstorm 2025 disrupted Montreal and surrounding regions, triggering power outages, Hydro-Québec repairs, fallen trees, infrastructure damage, and transport delays, while emergency response and community resilience accelerated restoration and recovery efforts across the province.

 

Key Points

A severe April 29 windstorm with 100 km/h gusts caused outages, damage, and emergency recovery across Quebec.

✅ Gusts exceeded 100 km/h across Montreal and nearby regions

✅ Hydro-Québec restored power; crews cleared debris and lines

✅ Communities shared resources, shelters, and volunteer support

 

A powerful windstorm swept across Quebec on April 29, 2025, leaving tens of thousands of residents without electricity and causing significant damage to infrastructure. The storm's intensity disrupted daily life, leading to widespread outages across the province, fallen trees, and transportation delays.

Storm's Impact

The windstorm, characterized by gusts exceeding 100 km/h, struck various regions of Quebec, including Montreal and its surrounding areas. Hydro-Québec reported extensive power outages affecting numerous customers. The storm's ferocity led to the uprooting of trees, downing of power lines, and significant damage to buildings and vehicles.

Response and Recovery Efforts

In the aftermath, emergency services and utility companies mobilized to restore power and clear debris. Hydro-Québec crews worked tirelessly, much like Sudbury Hydro teams did in Ontario, to repair damaged infrastructure, while municipal authorities coordinated efforts to ensure public safety and facilitate the restoration process. Despite these efforts, some areas experienced prolonged outages, highlighting the storm's severity.

Community Resilience

Residents demonstrated remarkable resilience during the crisis. Many communities came together to support one another, as seen when Toronto neighborhoods rallied during lingering outages, sharing resources and providing assistance to those in need. Local shelters were set up to offer warmth and supplies to displaced individuals, and volunteers played a crucial role in the recovery process.

Lessons Learned

The storm underscored the importance of preparedness and infrastructure resilience, including vulnerabilities highlighted by a recent manhole fire affecting Hydro-Québec customers. In response, discussions have been initiated regarding the strengthening of power grids and the implementation of more robust emergency response strategies to mitigate the impact of future natural disasters.

As Quebec continues to recover, the collective efforts of its residents and emergency services serve as a testament to the province's strength and unity, even as similar strong-wind outages affect other regions, in the face of adversity.

 

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