Hurricanes pose risk to offshore wind farms

By USA Today


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When an oncoming hurricane curves offshore — as most do — we usually breathe a sigh of relief. But soon, those offshore storms might give us something more to worry about.

Offshore hurricanes could demolish half the turbines in proposed wind farms just off the USA's coastlines, according to a study out Monday in the Proceedings of the National Academy of Sciences.

"We find that hurricanes pose a significant risk to wind turbines off the U.S. Gulf and East coasts, even if they are designed to the most stringent current standard," the authors from Carnegie Mellon University in Pittsburgh write.

Engineer Stephen Rose and colleagues conducted the study in response to a 2008 report from the U.S. Department of Energy, which said that wind energy should ideally provide one-fifth of all electricity in the USA by 2030. The engineers estimated that over a 20-year span many turbine towers would buckle in wind farms enduring hurricane-force winds off the coasts of four states — Massachusetts, New Jersey, North Carolina and Texas — where offshore wind-farm projects are now under consideration.

Despite their record of death and destruction in the USA, 75 of all Atlantic basin hurricanes remain offshore and do not hit land, according to Chris Landsea, science and operations officer at the National Hurricane Center in Miami.

Wind turbines are vulnerable to hurricanes because the maximum wind speeds in those storms can exceed the current design limits of wind turbines, according to the study.

Failures can include loss of blades and buckling of the supporting tower.

The research incorporated the current construction standards for the turbines, reports Rose. "Our study assumed wind turbine design for the current standards, with a maximum sustained wind speed of 111 mph near the top of the turbine, about 90 meters about 300 feet above the surface. This is the equivalent of a Category 3 hurricane," he says.

The study had to use computer models to simulate hurricanes' effect on the wind turbines, as no offshore wind turbines have yet been built in the USA although there are 20 offshore wind projects in various stages of planning.

However, turbine tower buckling has occurred in typhoons in the Pacific. Hurricanes are the same type of storms as typhoons.

Of the four locations examined in the study, offshore of Galveston County, Texas, is the riskiest location to build a wind farm, followed by the Outer Banks of North Carolina, Atlantic City and Martha's Vineyard, Mass.

"Galveston was the riskiest because it gets hit by hurricanes the most frequently," says Rose.

The damage caused by Category 3, 4 and 5 hurricanes is important for offshore wind development in the USA, the study notes, because every state on the Gulf of Mexico coast and nine of the 14 states on the Atlantic Coast have been struck by a Category 3 or higher hurricane from 1856 through 2008.

"As you get to Categories 3, 4, 5 — that's where the risks are," says Rose. "The intense hurricanes pose the most risk."

However, damage could be greatly reduced by building the farms in lower-risk areas and boosting the abilities of turbines to withstand higher winds.

This would "greatly enhance the probability that offshore wind can help to meet the United States' electricity needs," according to the study.

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Court reinstates constitutional challenge to Ontario's hefty ‘global adjustment’ electricity charge

Ontario Global Adjustment Charge faces constitutional scrutiny as a regulatory charge vs tax; Court of Appeal revives case over electricity pricing, feed-in tariff contracts, IESO policy, and hydro rate impacts on consumers and industry.

 

Key Points

A provincial electricity fee funding generator contracts, now central to a court fight over tax versus regulatory charge.

✅ Funds gap between market price and contracted generator rates

✅ At issue: regulatory charge vs tax under constitutional law

✅ Linked to feed-in tariff, IESO policy, and hydro rate hikes

 

Ontario’s court of appeal has decided that a constitutional challenge of a steep provincial electricity charge should get its day in court, overturning a lower-court judgment that had dismissed the legal bid.

Hamilton, Ont.-based National Steel Car Ltd. launched the challenge in 2017, saying Ontario’s so-called global adjustment charge was unconstitutional because it is a tax — not a valid regulatory charge — that was not passed by the legislature.

The global adjustment funds the difference between the province’s hourly electricity price and the price guaranteed under contracts to power generators. It is “the component that covers the cost of building new electricity infrastructure in the province, maintaining existing resources, as well as providing conservation and demand management programs,” the province’s Independent Electricity System Operator says.

However, the global adjustment now makes up most of the commodity portion of a household electricity bill, and its costs have ballooned, as regulators elsewhere consider a proposed 14% rate hike in Nova Scotia.

Ontario’s auditor general said in 2015 that global adjustment fees had increased from $650 million in 2006 to more than $7 billion in 2014. She added that consumers would pay $133 billion in global adjustment fees from 2015 to 2032, after having already paid $37 billion from 2006 to 2014.

National Steel Car, which manufactures steel rail cars and faces high electricity rates that hurt Ontario factories, said its global adjustment costs went from $207,260 in 2008 to almost $3.4 million in 2016, according to an Ontario Court of Appeal decision released on Wednesday.

The company claimed the global adjustment was a tax because one of its components funds electricity procurement contracts under a “feed-in tariff” program, or FIT, which National Steel Car called “the main culprit behind the dramatic price increases for electricity,” the decision said.

Ontario’s auditor general said the FIT program “paid excessive prices to renewable energy generators.” The program has been ended, but contracts awarded under it remain in place.


National Steel Car claimed the FIT program “was actually designed to accomplish social goals unrelated to the generation of electricity,” such as helping rural and indigenous communities, and was therefore a tax trying to help with policy goals.

“The appellant submits that the Policy Goals can be achieved by Ontario in several ways, just not through the electricity pricing formula,” the decision said.

National Steel Car also argued the global adjustment violated a provincial law that requires the government to hold a referendum for new taxes.

“The appellant’s principal claim is that the Global Adjustment was a ‘colourable attempt to disguise a tax as a regulatory charge with the purpose of funding the costs of the Policy Goals,’” the decision said. “The appellant pressed this argument before the motion judge and before this court. The motion judge did not directly or adequately address it.”

The Ontario government applied to have the challenge thrown out for having “no reasonable cause of action,” and a Superior Court judge did so in 2018, saying the global adjustment is not a tax.

National Steel Car appealed the decision, and the decision published Wednesday allowed the appeal, set aside the lower-court judgment, and will send the case back to Superior Court, where it could get a full hearing.

“The appellant’s claim is sufficiently plausible on the evidentiary record it put forward that the applications should not have been dismissed on a pleadings motion before the development of a full record,” wrote Justice Peter D. Lauwers. “It is not plain, obvious and beyond doubt that the Global Adjustment, and particularly the challenged component, is properly characterized as a valid regulatory charge and not as an impermissible tax.”

Jerome Morse of Morse Shannon LLP, one of National Steel Car’s lawyers, said the Ontario government would now have 60 days to decide whether to seek permission to appeal to the Supreme Court of Canada.

“What the court has basically said is, ‘this is a plausible argument, here are the reasons why it’s plausible, there was no answer to this,’” Morse told the Financial Post.

Ontario and the IESO had supported the lower-court decision, but there has been a change in government since the challenge was first launched, with Progressive Conservative Premier Doug Ford replacing the Liberals and Kathleen Wynne in power. The Liberals had launched a plan aimed at addressing hydro costs before losing in a 2018 election, the main thrust of which had been to refinance global adjustment costs.

Wednesday’s decision states that “Ontario’s counsel advised the court that the current Ontario government ‘does not agree with the former government’s electricity procurement policy (since-repealed).’

“The government’s view is that: ‘The solution does not lie with the courts, but instead in the political arena with political actors,’” it adds.

A spokesperson for Ontario Energy Minister Greg Rickford said in an email that they are reviewing the decision but “as this matter is in the appeal period, it would be inappropriate to comment.” 

Ontario had also requested to stay the matter so a regulator, the Ontario Energy Board, could weigh in, while the Nova Scotia regulator approved a 14% hike in a separate case.

“However, Ontario only sought this relief from the motion judge in the alternative, and given the motion judge’s ultimate decision, she did not rule on the stay,” Thursday’s decision said. “It would be premature for this court to rule on the issue, although it seems incongruous for Ontario to argue that the Superior Court is the convenient forum in which to seek to dismiss the applications as meritless, but that it is not the convenient forum for assessing the merits of the applications.”

National Steel Car’s challenge bears a resemblance to the constitutional challenges launched by Ontario and other provinces over the federal government’s carbon tax, but Justice Lauwers wrote “that the federal legislative scheme under consideration in those cases is distinctly different from the legislation at issue in this appeal.”

“Nothing in those decisions impacts this appeal,” the judge added.
 

 

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Renewable power surpasses fossil fuels for first time in Europe

EU Renewable Power Overtakes Fossil Fuels, reflecting a greener energy mix as wind, solar, and hydro expand, cutting CO2 emissions and curbing coal while negative prices rise amid pandemic-driven demand drops.

 

Key Points

A milestone as renewables surpass fossil power in the EU, driven by wind, solar, hydro growth and pandemic demand.

✅ 40% renewables vs 34% fossil in H1 across 27 EU states

✅ Wind, solar, hydro rose; coal generation fell 32% year-on-year

✅ Lower demand, carbon prices, grid priority boosted clean output

 

Renewable power for the first time contributed a bigger share in the European generation mix than fossil fuels, as described in Europe's green surge as the fallout from the pandemic cut energy demand.

About 40 percent of the electricity in the first half in the 27 EU countries came from renewable sources, exceeding the global renewables share reported elsewhere, compared with 34 percent from plants burning fossil fuels, according to environmental group Ember in London. As a result, carbon dioxide emissions from the power sector fell 23 percent.

The rise is significant and encouraging for law makers as Europe prepares to spend billions of euros to recover from the virus, with wind power investments underscoring the momentum, and set the bloc on track to neutralize its carbon footprint by the middle of the century.

“This marks a symbolic moment ​in the transition of Europe’s electricity sector,” said Dave Jones, an electricity analyst at Ember. “For countries like Poland and Czech Republic grappling with how to get off coal, there is now a clear way out.”

While power demand slumped, output from wind and solar farms increased, reflecting global wind and solar gains, because more plants came online in breezy and sunny weather. At the same time, wet conditions boosted hydro power in Iberia and the Nordic markets.

Those conditions helped renewables become a rare bright spot throughout the economic tumult this year. In many areas, renewable sources of electricity have priority to the grid, meaning they could keep growing even as demand shrank and other power plants were turned off.

Electricity demand in the EU fell 7 percent overall. Fossil-fuel power generation plunged 18 percent in the first half compared with a year earlier. Renewable generation grew by 11 percent, according to Ember.

Coal was by far the biggest loser in 2020. It’s one of the most-polluting sources of power and its share is slumping in Europe as the price of carbon increases, with renewables surpassing coal in the US illustrating the broader shift, and governments move to cut emissions. Power from coal fell 32 percent across the EU.

Despite the economics, the decision to shut off coal for good will come down to political agreements between producers and governments, while reducing reliance on Russian energy reshapes policy debates.

One consequence of the jump in renewables is that negative prices have increased, as solar is reshaping prices in Northern Europe in similar ways. On particularly windy or sunny days when there isn’t much demand, the grid can be flooded with power. That’s leading wind farms to be shut off and customers to be paid to consume electricity.

 

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N.S. senior suspects smart meter to blame for shocking $666 power bill

Nova Scotia Power smart meter billing raises concerns amid estimated billing, catch-up bills, and COVID-19 meter reading delays, after seniors report doubled electricity usage and higher utility charges despite consistent consumption and on-time payments.

 

Key Points

Smart meter billing uses digital reads, limits estimates, and may trigger catch-up charges after reading suspensions.

✅ COVID-19 reading pause led to estimated bills and later catch-ups

✅ Smart meters reduce reliance on estimated billing errors

✅ Customers can seek payment plans and bill reviews

 

A Nova Scotia senior says she couldn't believe her eyes when she opened her most recent power bill. 

Gloria Chu was billed $666 -- more than double what she normally pays, and similar spikes such as rising electricity bills in Calgary have drawn attention.

As someone who always pays her bi-monthly Nova Scotia Power bill in full and on time, Chu couldn't believe it.

According to her bill, her electricity usage almost tripled during the month of May, compared to last year, and is even more than it was last winter, and with some utilities exploring seasonal power rates customers may see confusing swings.

She insists she and her husband aren't doing anything differently -- but one thing has changed.

"I have had a problem since they put the smart meter in," said Chu, who lives in Upper Gulf Shore, N.S.

Chu got a big bill right after the meter was installed in January, too. That one was more than $530.

She paid it, but couldn't understand why it was so high.

As for this bill, she says she just can't afford it, especially amid a recently approved 14% rate hike in Nova Scotia.

"That's all of my CPP," Chu said. "Actually, it's more than my CPP."

Chu says a neighbor up the road who also has a smart meter had her bill double, too. In nearby Pugwash, she says some residents have seen an increase of about $20-$30.

Nova Scotia Power had put a pause on installing smart meters because of the COVID-19 pandemic, but it has resumed as of June 1, with the goal of upgrading 500,000 meters by 2021, even as in other provinces customers have faced fees for refusing smart meters during similar rollouts.

In this case, the utility says it's not the meter that's the problem, and notes that in New Brunswick some old meters gave away free electricity even as the pandemic forced Nova Scotia Power to suspend meter readings for two months.

"As a result, every one of our customers in Nova Scotia received an estimated bill," said Jennifer parker, Nova Scotia Power's director of customer care.

The utility estimated Chu's bill at $182 -- less than she normally pays -- so her latest bill is considered a catch-up bill after meter readings resumed last month.

Parker admits how estimates are calculated isn't perfect.

"There would be a lot of customers who probably had a more accurate bill because of the way that we estimate, and that's actually one of things that smart meters will get rid of, is that we won't need to do estimated billing," Parker said.

Chu isn't quite convinced.

"It is pretty smart for the power company, but it's not smart for us," she said with a laugh.

Nova Scotia Power has put a hold on her bill and says it will work with Chu on an affordable solution, though the province cannot order the utility to lower rates which limits what can be offered.

She just hopes to never see a big bill like this again, while elsewhere in Newfoundland and Labrador a lump-sum electricity credit is being provided to help customers.

 

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LNG powered with electricity could be boon for B.C.'s independent power producers

B.C. LNG Electrification embeds clean hydro and wind power into low-emission liquefied natural gas, cutting carbon intensity, enabling coal displacement in Asia, and opening grid-scale demand for independent power producers and ITMO-based climate accounting.

 

Key Points

Powering LNG with clean electricity cuts carbon intensity, displaces coal, and grows demand for B.C.'s clean power.

✅ Electric-drive LNG cuts emissions intensity by up to 80%.

✅ Creates major grid load, boosting B.C. independent power producers.

✅ Enables ITMO crediting when coal displacement is verified.

 

B.C. has abundant clean power – if only there was a way to ship those electrons across the sea to help coal-dependent countries reduce their emissions, and even regionally, Alberta–B.C. grid link benefits could help move surplus power domestically.

Natural gas that is liquefied using clean hydro and wind power and then exported would be, in a sense, a way of embedding B.C.’s low emission electricity in another form of energy, and, alongside the Canada–Germany clean energy pact, part of a broader export strategy.

Given the increased demand that could come from an LNG industry – especially one that moves towards greater electrification and, as the IEA net-zero electricity report notes, broader system demand – poses some potentially big opportunities for B.C.’s clean energy independent power sector, as those attending the Clean Energy Association of BC's annual at the Generate conference heard recently.

At a session on LNG electrification, delegates were told that LNG produced in B.C. with electricity could have some significant environmental benefits.

Given how much power an LNG plant that uses electric drive consumes, an electrified LNG industry could also pose some significant opportunities for independent power producers – a sector that had the wind taken out of its sails with the sanctioning of the Site C dam project.

Only one LNG plant being built in B.C. – Woodfibre LNG – will use electric drive to produce LNG, although the companies behind Kitimat LNG have changed their original design plans, and now plan to use electric drive drive as well.

Even small LNG plants that use electric drive require a lot of power.

“We’re talking about a lot of power, since it’s one of the biggest consumers you can connect to a grid,” said Sven Demmig, head of project development for Siemens.

Most LNG plants still burn natural gas to drive the liquefaction process – a choice that intersects with climate policy and electricity grids in Canada. They typically generate 0.35 tonnes of CO2e per tonne of LNG produced.

Because it will use electric drive, LNG produced by Woodfibre LNG will have an emissions intensity that is 80% less than LNG produced in the Gulf of Mexico, said Woodfibre president David Keane.

In B.C., the benchmark for GHG intensities for LNG plants has been set at 0.16 tonnes of CO2e per tonne of LNG. Above that, LNG producers would need to pay higher carbon taxes than those that are below the benchmark.

The LNG Canada plant has an intensity of 0.15 tonnes og CO2e per tonne of LNG. Woodfibre LNG will have an emissions intensity of just 0.059, thanks to electric drive.

“So we will be significantly less than any operating facility in the world,” Keane said.

Keane said Sinopec has recently estimated that it expects China’s demand for natural gas to grow by 82% by 2030.

“So China will, in fact, get its gas supply,” Keane said. “The question is: where will that supply come from?

“For every tonne of LNG that’s being produced today in the United States -- and tonne of LNG that we’re not producing in Canada -- we’re seeing about 10 million tonnes of carbon leakage every single year.”

The first Canadian company to produce LNG that ended up in China is FortisBC. Small independent operators have been buying LNG from FortisBC’s Tilbury Island plant and shipping to China in ISO containers on container ships.

David Bennett, director of communications for FortisBC, said those shipments are traced to industries in China that are, indeed, using LNG instead of coal power now.

“We know where those shipping containers are going,” he said. “They’re actually going to displace coal in factories in China.”

Verifying what the LNG is used for is important, if Canadian producers want to claim any kind of climate credit. LNG shipped to Japan or South Korea to displace nuclear power, for example, would actually result in a net increase in GHGs. But used to displace coal, the emissions reductions can be significant, since natural gas produces about half the CO2 that coal does.

The problem for LNG producers here is B.C.’s emissions reduction targets as they stand today. Even LNG produced with electricity will produce some GHGs. The fact that LNG that could dramatically reduce GHGs in other countries, if it displaces coal power, does not count in B.C.’s carbon accounting.

Under the Paris Agreement, countries agree to set their own reduction targets, and, for Canada, cleaning up Canada’s electricity remains critical to meeting climate pledges, but don’t typically get to claim any reductions that might result outside their own country.

Canada is exploring the use of Internationally Transferred Mitigation Outcomes (ITMO) under the Under the Paris Agreement to allow Canada to claim some of the GHG reductions that result in other countries, like China, through the export of Canadian LNG.

“For example, if I were producing 4 million tonnes of greenhouse gas emissions in B.C. and I was selling 100% of my LNG to China, and I can verify that they’re replacing coal…they would have a reduction of about 60 or million tonnes of greenhouse gas emissions,” Keane said.

“So if they’re buying 4 million tonnes of emissions from us, under these ITMOs, then they have net reduction of 56 million tonnes, we’d have a net increase of zero.”

But even if China and Canada agreed to such a trading arrangement, the United Nations still hasn’t decided just how the rules around ITMOs will work.

 

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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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Tesla Expands Charging Network in NYC

Tesla NYC Supercharger Expansion adds rapid EV charging across Manhattan, Brooklyn, and Queens, strengthening infrastructure, easing range anxiety, and advancing New York City sustainability goals with fast chargers at strategic commercial and residential-adjacent locations.

 

Key Points

Tesla's plan to add rapid EV charging across NYC, boosting access, easing range anxiety, and advancing climate targets.

✅ New Superchargers in Manhattan, Brooklyn, and Queens

✅ Faster charging to cut downtime and range anxiety

✅ Partnerships with businesses to expand public access

 

In a significant move to enhance the EV charging infrastructure across the city, Tesla has announced plans to expand its network of charging stations throughout New York City. This investment is set to bolster the availability of charging options, making it more convenient for EV owners while encouraging more residents to consider electric vehicles as a viable alternative to traditional gasoline-powered cars.

The Growing Need for Charging Infrastructure

As the demand for electric vehicles continues to rise amid the American EV boom across the country, the need for a robust charging infrastructure has become increasingly critical. With New York City setting ambitious goals to reduce greenhouse gas emissions, the expansion of EVs is seen as a crucial component of its sustainability strategy. Currently, the city aims to have 50% of all vehicles electrified by 2030, a target that necessitates a significant increase in charging stations.

Tesla’s initiative to install more charging points in NYC aligns perfectly with these goals and reflects how charging networks are competing nationwide to expand access, drawing more drivers to consider electric vehicles. By enhancing the charging network, Tesla is not only catering to its existing customers but also appealing to potential EV buyers who may have previously hesitated due to range anxiety or limited charging options.

A Look at the Expansion Plans

The details of Tesla's expansion include adding several new Supercharger stations across key locations in Manhattan, Brooklyn, and Queens, as US automakers move to build 30,000 public chargers nationwide to boost coverage. These stations will be strategically placed to ensure maximum accessibility, especially in densely populated areas where residents may not have easy access to home charging.

Tesla’s Superchargers are known for their rapid charging capabilities, allowing EV drivers to recharge their vehicles in a fraction of the time it would take at a standard charging station. This efficiency will be particularly beneficial in a bustling urban environment like NYC, where convenience and time are of the essence.

Moreover, Tesla is also exploring partnerships with local businesses and property owners to install charging stations at commercial locations. This initiative would not only create more charging opportunities but also encourage businesses to attract EV-driving customers, further promoting electric vehicle adoption.

Impact on EV Adoption in NYC

The expansion of Tesla's charging network is expected to have a positive ripple effect on the adoption of electric vehicles in New York City. With more charging stations available, potential buyers will feel more confident in making the switch to electric. The convenience of accessible charging can significantly reduce range anxiety, a common concern among potential EV buyers.

Additionally, this expansion will likely encourage other automakers to invest in charging infrastructure, as utilities pursue a bullish course on charging to support deployment, leading to a more interconnected network of charging options across the city. As more drivers embrace electric vehicles, the demand for charging will continue to grow, a trend that will test state power grids in the coming years, further solidifying the need for a comprehensive and reliable infrastructure.

Supporting Sustainable Initiatives

Tesla's investment in NYC's charging infrastructure is also part of a broader commitment to sustainability. As cities grapple with the challenges of climate change and air pollution, transitioning to electric vehicles is seen as a vital strategy for reducing emissions. Electric vehicles produce zero tailpipe emissions, which contributes to cleaner air and a healthier urban environment.

Moreover, with the increasing push towards renewable energy sources, the integration of electric vehicles into the city’s transportation system can help reduce reliance on fossil fuels, with energy storage and mobile charging adding flexibility to support the grid. As more charging stations utilize renewable energy, the overall carbon footprint of electric vehicles will continue to decrease, aligning with New York City's climate goals.

Looking Ahead

As Tesla moves forward with its expansion plans in New York City, the implications for both the automotive industry and urban sustainability are profound. By enhancing the charging infrastructure, Tesla is not only facilitating the growth of electric vehicles but also playing a crucial role in the city’s efforts to combat climate change.

 

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