Why California's Climate Policies Are Causing Electricity Blackouts


california blackouts

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California Rolling Blackouts expose grid reliability risks amid a heatwave, as CAISO curtails power while solar output fades at sunset, wind stalls, and scarce natural gas and nuclear capacity plus PG&E issues strain imports.

 

Key Points

Grid outages during heatwaves from low reserves, fading solar, weak wind, and limited firm capacity.

✅ Heatwave demand rose as solar output dropped at sunset

✅ Limited imports and gas, nuclear shortfalls cut reserves

✅ Policy, pricing, and maintenance gaps increased outage risk

 

Millions of Californians were denied electrical power and thus air conditioning during a heatwave, raising the risk of heatstroke and death, particularly among the elderly and sick. 

The blackouts come at a time when people, particularly the elderly, are forced to remain indoors due to Covid-19, and as later heat waves would test the grid again statewide.

At first, the state’s electrical grid operator last night asked customers to voluntarily reduce electricity use. But after lapses in power supply pushed reserves to dangerous levels it declared a “Stage 3 emergency” cutting off power to people across the state at 6:30 pm.

The immediate reason for the black-outs was the failure of a 500-megawatt power plant and an out-of-service 750-megawatt unit not being available. “There is nothing nefarious going on here,” said a spokeswoman for California Independent System Operator (CAISO). “We are just trying to run the grid.”

But the underlying reasons that California is experiencing rolling black-outs for the second time in less than a year stem from the state’s climate policies, which California policymakers have justified as necessary to prevent deaths from heatwaves, and which it is increasingly exporting to Western states as a model.

In October, Pacific Gas and Electric cut off power to homes across California to avoid starting forest fires after reports that its power lines may have started fires in recent seasons. The utility and California’s leaders had over the previous decade diverted billions meant for grid maintenance to renewables. 

And yesterday, California had to impose rolling blackouts because it had failed to maintain sufficient reliable power from natural gas and nuclear plants, or pay in advance for enough guaranteed electricity imports from other states.

It may be that California’s utilities and their regulator, the California Public Utilities Commission, which is also controlled by Gov. Newsom, didn’t want to spend the extra money to guarantee the additional electricity out of fears of raising California’s electricity prices even more than they had already raised them.

California saw its electricity prices rise six times more than the rest of the United States from 2011 to 2019, helping explain why electricity prices are soaring across the state, due to its huge expansion of renewables. Republicans in the U.S. Congress point to that massive increase to challenge justifications by Democrats to spend $2 trillion on renewables in the name of climate change.

Even though the cost of solar panels declined dramatically between 2011 and 2019, their unreliable and weather-dependent nature meant that they imposed large new costs in the form of storage and transmission to keep electricity as reliable. California’s solar panels and farms were all turning off as the blackouts began, with no help available from the states to the East already in nightfall.

Electricity from solar goes away at the very moment when the demand for electricity rises. “The peak demand was steady in late hours,” said the spokesperson for CAISO, which is controlled by Gov. Gavin Newsom, “and we had thousands of megawatts of solar reducing their output as the sunset.”

The two blackouts in less than a year are strong evidence that the tens of billions that Californians have spent on renewables come with high human, economic, and environmental costs.

Last December, a report by done for PG&E concluded that the utility’s customers could see blackouts double over the next 15 years and quadruple over the next 30.

California’s anti-nuclear policies also contributed to the blackouts. In 2013, Gov. Jerry Brown forced a nuclear power plant, San Onofre, in southern California to close.

Had San Onofre still been operating, there almost certainly would not have been blackouts on Friday as the reserve margin would have been significantly larger. The capacity of San Onofre was double that of the lost generation capacity that triggered the blackout.

California's current and former large nuclear plants are located on the coast, which allows for their electricity to travel shorter distances, and through less-constrained transmission lines than the state’s industrial solar farms, to get to the coastal cities where electricity is in highest demand.

There has been very little electricity from wind during the summer heatwave in California and the broader western U.S., further driving up demand. In fact, the same weather pattern, a stable high-pressure bubble, is the cause of heatwaves, since it brought very low wind for days on end along with very high temperatures.

Things won’t be any better, and may be worse, in the winter, with a looming shortage as it produces far less solar electricity than the summer. Solar plus storage, an expensive attempt to fix problems like what led to this blackout, cannot help through long winters of low output.

California’s electricity prices will continue to rise if it continues to add more renewables to its grid, and goes forward with plans to shut down its last nuclear plant, Diablo Canyon, in 2025.

Had California spent an estimated $100 billion on nuclear instead of on wind and solar, it would have had enough energy to replace all fossil fuels in its in-state electricity mix.

To manage the increasingly unreliable grid, California will either need to keep its nuclear plant operating, build more natural gas plants, underscoring its reliance on fossil fuels for reliability, or pay ever more money annually to reserve emergency electricity supplies from its neighbors.

After the blackouts last October, Gov. Newsom attacked PG&E Corp. for “greed and mismanagement” and named a top aide, Ana Matosantos, to be his “energy czar.” 

“This is not the new normal, and this does not take 10 years to solve,” Newsom said. “The entire system needs to be reimagined.”

 

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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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Smaller, cheaper, safer: Next-gen nuclear power, explained

MARVEL microreactor debuts at Idaho National Laboratory as a 100 kW, liquid-metal-cooled, zero-emissions generator powering a nuclear microgrid, integrating wind and solar for firm, clean energy in advanced nuclear applications research.

 

Key Points

A 100 kW, liquid-metal-cooled INL reactor powering a nuclear microgrid and showcasing zero-emissions clean energy.

✅ 100 kW liquid-metal-cooled microreactor at INL

✅ Powers first nuclear microgrid for applications testing

✅ Integrates with wind and solar for firm clean power

 

Inside the Transient Reactor Test Facility, a towering, windowless gray block surrounded by barbed wire, researchers are about to embark on a mission to solve one of humanity’s greatest problems with a tiny device.

Next year, they will begin construction on the MARVEL reactor. MARVEL stands for Microreactor Applications Research Validation and EvaLuation. It’s a first-of-a-kind nuclear power generator with a mini-reactor design that is cooled with liquid metal and produces 100 kilowatts of energy. By 2024, researchers expect MARVEL to be the zero-emissions engine of the world’s first nuclear microgrid at Idaho National Laboratory (INL).

“Micro” and “tiny,” of course, are relative. MARVEL stands 15 feet tall, weighs 2,000 pounds, and can fit in a semi-truck trailer. But it's minuscule compared to conventional nuclear power plants, which span acres, produces gigawatts of electricity to power whole states, and can take more than a decade to build.

For INL, where scientists have tested dozens of reactors over the decades across an area three-quarters the size of Rhode Island, it’s a radical reimagining of the technology. This advanced reactor design could help overcome the biggest obstacles to nuclear energy: safety, efficiency, scale, cost, and competition. MARVEL is an experiment to see how all these pieces could fit together in the real world.

“It’s an applications test reactor where we’re going to try to figure out how we extract heat and energy from a nuclear reactor and apply it — and combine it with wind, solar, and other energy sources,” said Yasir Arafat, head of the MARVEL program.

The project, however, comes at a time when nuclear power is getting pulled in wildly different directions, from phase-outs to new strategies like the UK’s green industrial revolution that shapes upcoming reactors.

Germany just shut down its last nuclear reactors. The U.S. just started up its first new reactor in 30 years, underscoring a shift. France, the country with the largest share of nuclear energy on its grid, saw its atomic power output decline to its lowest since 1988 last year. Around the world, there are currently 60 nuclear reactors under construction, with 22 in China alone.

But the world is hungrier than ever for energy. Overall electricity demand is growing: Global electricity needs will increase nearly 70 percent by 2050 compared to today’s consumption, according to the Energy Information Administration. At the same time, the constraints are getting tighter. Most countries worldwide, including the U.S., have committed to net-zero goals by the middle of the century, even as demand rises.

To meet this energy demand without worsening climate change, the U.S. Energy Department’s report on advanced nuclear energy released in March said, “the U.S. will need ~550–770 [gigawatts] of additional clean, firm capacity to reach net-zero; nuclear power is one of the few proven options that could deliver this at scale.”

The U.S. government is now renewing its bets on nuclear power to produce steady electricity without emitting greenhouse gases. The Bipartisan Infrastructure Law included $6 billion to keep existing nuclear power plants running. In addition, the Inflation Reduction Act, the U.S. government’s largest investment in countering climate change, includes several provisions to benefit atomic power, including tax credits for zero-emissions energy.

“It’s a game changer,” said John Wagner, director of INL.

The tech sector is jumping in, too, as atomic energy heats up across startups and investors. In 2021, venture capital firms poured $3.4 billion into nuclear energy startups. They’re also pouring money into even more far-out ideas, like nuclear fusion power. Public opinion has also started moving. An April Gallup poll found that 55 percent of Americans favour and 44 percent oppose using atomic energy, the highest levels of support in 10 years.

 

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Current Model For Storing Nuclear Waste Is Incomplete

Nuclear Waste Corrosion accelerates as stainless steel, glass, and ceramics interact in aqueous conditions, driving localized corrosion in repositories like Yucca Mountain, according to Nature Materials research on high-level radioactive waste storage.

 

Key Points

Degradation of waste forms and canisters from water-driven chemistry, causing accelerated, localized corrosion in storage.

✅ Stainless steel-glass contact triggers severe localized attack

✅ Ceramics and steel co-corrosion observed under aqueous conditions

✅ Yucca Mountain-like chemistry accelerates waste form degradation

 

The materials the United States and other countries plan to use to store high-level nuclear waste, even as utilities expand carbon-free electricity portfolios, will likely degrade faster than anyone previously knew because of the way those materials interact, new research shows.

The findings, published today in the journal Nature Materials (https://www.nature.com/articles/s41563-019-0579-x), show that corrosion of nuclear waste storage materials accelerates because of changes in the chemistry of the nuclear waste solution, and because of the way the materials interact with one another.

"This indicates that the current models may not be sufficient to keep this waste safely stored," said Xiaolei Guo, lead author of the study and deputy director of Ohio State's Center for Performance and Design of Nuclear Waste Forms and Containers, part of the university's College of Engineering. "And it shows that we need to develop a new model for storing nuclear waste."

Beyond waste storage, options like carbon capture technologies are being explored to reduce atmospheric CO2 alongside nuclear energy.

The team's research focused on storage materials for high-level nuclear waste -- primarily defense waste, the legacy of past nuclear arms production. The waste is highly radioactive. While some types of the waste have half-lives of about 30 years, others -- for example, plutonium -- have a half-life that can be tens of thousands of years. The half-life of a radioactive element is the time needed for half of the material to decay.

The United States currently has no disposal site for that waste; according to the U.S. General Accountability Office, it is typically stored near the nuclear power plants where it is produced. A permanent site has been proposed for Yucca Mountain in Nevada, though plans have stalled. Countries around the world have debated the best way to deal with nuclear waste; only one, Finland, has started construction on a long-term repository for high-level nuclear waste.

But the long-term plan for high-level defense waste disposal and storage around the globe is largely the same, even as the U.S. works to sustain nuclear power for decarbonization efforts. It involves mixing the nuclear waste with other materials to form glass or ceramics, and then encasing those pieces of glass or ceramics -- now radioactive -- inside metallic canisters. The canisters then would be buried deep underground in a repository to isolate it.

At the generation level, regulators are advancing EPA power plant rules on carbon capture to curb emissions while nuclear waste strategies evolve.

In this study, the researchers found that when exposed to an aqueous environment, glass and ceramics interact with stainless steel to accelerate corrosion, especially of the glass and ceramic materials holding nuclear waste.

In parallel, the electrical grid's reliance on SF6 insulating gas has raised warming concerns across Europe.

The study qualitatively measured the difference between accelerated corrosion and natural corrosion of the storage materials. Guo called it "severe."

"In the real-life scenario, the glass or ceramic waste forms would be in close contact with stainless steel canisters. Under specific conditions, the corrosion of stainless steel will go crazy," he said. "It creates a super-aggressive environment that can corrode surrounding materials."

To analyze corrosion, the research team pressed glass or ceramic "waste forms" -- the shapes into which nuclear waste is encapsulated -- against stainless steel and immersed them in solutions for up to 30 days, under conditions that simulate those under Yucca Mountain, the proposed nuclear waste repository.

Those experiments showed that when glass and stainless steel were pressed against one another, stainless steel corrosion was "severe" and "localized," according to the study. The researchers also noted cracks and enhanced corrosion on the parts of the glass that had been in contact with stainless steel.

Part of the problem lies in the Periodic Table. Stainless steel is made primarily of iron mixed with other elements, including nickel and chromium. Iron has a chemical affinity for silicon, which is a key element of glass.

The experiments also showed that when ceramics -- another potential holder for nuclear waste -- were pressed against stainless steel under conditions that mimicked those beneath Yucca Mountain, both the ceramics and stainless steel corroded in a "severe localized" way.

Other Ohio State researchers involved in this study include Gopal Viswanathan, Tianshu Li and Gerald Frankel.

This work was funded in part by the U.S. Department of Energy Office of Science.

Meanwhile, U.S. monitoring shows potent greenhouse gas declines confirming the impact of control efforts across the energy sector.

 

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Alberta gives $40M to help workers transition from coal power jobs

Alberta Coal Transition Support offers EI top-ups, 75% wage replacement, retraining, tuition vouchers, and on-site advice for workers leaving thermal coal mines and coal-fired power plants during the provincial phase-out.

 

Key Points

Alberta Coal Transition Support is a $40M program providing EI top-ups, retraining, and tuition vouchers to coal workers.

✅ 75% EI top-up; province requests federal alignment

✅ Tuition vouchers and retraining for displaced workers

✅ On-site transition services; about 2,000 workers affected

 

Alberta is putting aside $40 million to help workers losing their jobs as the province transitions away from thermal coal mines and coal-fired power plants, a shift connected to the future of work in the electricity sector over the next decade.

Labour Minister Christina Gray says the money will top up benefits to 75 per cent of a worker’s previous earnings during the time they collect employment insurance, amid regional shifts such as how COVID-19 reshaped Saskatchewan in recent months.

Alberta is asking the federal government to not claw back existing benefits as the province tops up those EI benefits, as utilities face pressures like Manitoba Hydro cost-cutting during the pandemic, while also extending EI benefits for retiring coal workers.

Gray says even if the federal government does not step up, the province will provide the funds to match that 75 per cent threshold, a contrast to problems such as Kentucky miners' cold checks seen elsewhere.

There will also be help for workers in the form of tuition vouchers, retraining programs like the Nova Scotia energy training program that connects youth to the sector, and on-site transitioning advice.

The province estimates there are 2,000 workers affected.

 

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Duke Energy installing high-tech meters for customers

Duke Energy Smart Meters enable remote meter reading, daily energy usage data, and two-way outage detection via AMI, with encrypted data, faster restoration, and remote connect/disconnect for Indiana customers in Howard County.

 

Key Points

Advanced meters that support remote readings, daily usage insights, two-way outage detection, and secure, encrypted data.

✅ Daily energy usage available online the next day

✅ Two-way communications speed outage detection and restoration

✅ Remote connect/disconnect; manual reads optional with opt-out fee

 

Say goodbye to your neighborhood meter reader. Say hello to your new smart meter.

Over the next three months, Duke Energy will install nearly 43,000 new high-tech electric meters for Howard County customers that will allow the utility company to remotely access meters via the digital grid instead of sending out employees to a homeowner's property for walk-by readings.

That means there's no need to estimate bills when meters can't be easily accessed, such as during severe weather or winter storms.

Other counties serviced by Duke Energy slated to receive the meters include Miami, Tipton, Cass and Carroll counties.

Angeline Protogere, Duke Energy's lead communication consultant, said besides saving the company money and manpower, the new smart meters come with a host of benefits for customers enabled by smart grid solutions today.

The meters are capable of capturing daily energy usage data, which is available online the next day. Having this information available on a daily basis can help customers make smarter energy decisions and support customer analytics that avoid billing surprises at the end of the month, she said.

"The real advantage is for the consumer, because they can track their energy usage and adjust their usage before the bills come," Protogere said.

When it comes to power outages, the meters are capable of two-way communications. That allows the company to know more about an outage through synchrophasor monitoring, which can help speed up restoration. However, customers will still need to notify Duke Energy if their power goes out.

If a customer is moving, they don't have to wait for a Duke Energy representative to come to the premises to connect or disconnect the energy service because requests can be performed remotely.

Protogere said when it comes to installing the meters, the changeover takes less than 5 minutes to complete. Customers should receive advance notices from the company, but the technician also will knock on the door to let the customer know they are there.

If no one is available and the meter is safely accessible, the technician will go ahead and change out the meter, Protogere said. There will be a momentary outage between the time the old meter is removed and the new meter is installed.

Kokomo and the surrounding areas are one of the last parts of the state to receive Duke Energy's new, high-tech meters, which are commonly used by other utility companies and in smart city initiatives across the U.S.

Protogere said statewide, the company started installing smart meters in August 2016 as utilities deploy digital transformer stations to modernize the grid. To date, they have installed 694,000 of the 854,000 they have planned for the state.

The company says the information stored and transmitted on the smart meters is safe, protected and confidential. Duke Energy said on its website that it does not share data with anyone without customers' authorization. The information coming from the meters is encrypted and protected from the moment it is collected until the moment it is purged, the company said.

Digital smart meter technology uses radio frequency bands that have been used for many years in devices such as baby monitors and medical monitors. The radio signals are far below the levels emitted by common household appliances and electronics, including cellphones and microwave ovens.

According to the World Health Organization, FCC, U.S. Food and Drug Administration and Electric Power Research Institute, no adverse health effects have been shown to occur from the radio frequency signals produced by smart meters or other such wireless networks.

However, customers can still opt-out of getting a smart meter and continue to have their meter manually read.

Those who choose not to get a smart meter must pay a $75 initial opt-out fee and an additional $17.50 monthly meter reading charge per account.

If smart meters have not yet been installed, Duke Energy will waive the $75 initial opt-out fee if customers notify the company they want to opt out within 21 days of receiving the installation postcard notice.

 

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Canadian gold mine cleans up its act with electricity

Electric mining equipment enables zero-emission, diesel-free operations at Goldcorp's Borden mine, using Sandvik battery-electric drills and LHD trucks to cut ventilation costs, noise, and maintenance while improving underground air quality.

 

Key Points

Battery-powered mining equipment replaces diesel, cutting emissions and ventilation costs in underground operations.

✅ Cuts diesel use, heat load, and noise in underground headings.

✅ Reduces ventilation infrastructure and operating expense.

✅ Improves air quality, worker health, and equipment uptime.

 

Mining operations get a lot of flack for creating environmental problems around the world. Yet they provide much of the basic material that keeps the global economy humming. Some mining companies are drilling down in their efforts to clean up their acts, exploring solutions such as recovering mine heat for power to reduce environmental impact.

As the world’s fourth-largest gold mining company Goldcorp has received its share of criticism about the impact it has on the environment.

In 2016, the Canadian company decided to do something about it. It partnered with mining-equipment company Sandvik and began to convert one of its mines into an all-electric operation, a process that is expected to take until 2021.

The efforts to build an all-electric mine began with the Sandvik DD422iE in Goldcorp’s Borden mine in Ontario, Canada.

Goldcorp's Borden mine in Borden, Ontario, CanadaGoldcorp's Borden mine in Borden, Ontario, Canada

The machine weighs 60,000 pounds and runs non-stop on a giant cord. It has a 75-kwh sodium nickel chloride battery to buffer power demands, a crucial consideration as power-hungry Bitcoin facilities can trigger curtailments during heat waves, and to move the drill from one part of the mine to another.

This electric rock-chewing machine removes the need for the immense ventilation systems needed to clean the emissions that diesel engines normally spew beneath the surface in a conventional mining operation, though the overall footprint depends on electricity sources, as regions with Clean B.C. power imports illustrate in practice.

These electric devices improve air quality, dramatically reduce noise pollution, and remove costly maintenance of internal combustion engines, Goldcorp says.

More importantly, when these electric boring machines are used across the board, it will eliminate the negative health effects those diesel drills have on miners.

“It would be a challenge to go back,” says big drill operator Adam Ladouceur.

Mining with electric equipment also removes second- or third-highest expenditure in mining, the diesel fuel used to power the drills, said Goldcorp spokesman Pierre Noel, even as industries pursue dedicated energy deals like Bitcoin mining in Medicine Hat to manage power costs. (The biggest expense is the cost of labor.)

Electric load, haul, dump machine at Goldcorp Borden mine in OntarioElectric load, haul, dump machine at Goldcorp Borden mine in Ontario

Aside from initial cost, the electric Borden mine will save approximately $7 million ($9 million Canadian) annually just on diesel, propane and electricity.

Along with various sizes of electric drills and excavating tools, Goldcorp has started using electric powered LHD (load, haul, dump) trucks to crush and remove the ore it extracts, and Sandvik is working to increase the charging speed for battery packs in the 40-ton electric trucks which transport the ore out of the mines, while utilities add capacity with new BC generating stations coming online.

 

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