Hydro One to Reconnect 1,400 Customers Cut-Off for Nonpayment

Germany Energy Price Defensive Shield counters soaring gas and electricity costs with a gas price brake, VAT cut, subsidies for households and SMEs, LNG terminals, renewables, temporary nuclear extension, and targeted borrowing to curb inflation.

Key Points

A 200 billion euro package to cap energy costs, subsidize basics, and stabilize inflation for firms and households.

✅ Gas price brake and VAT cut reduce consumer and SME energy bills.

✅ Temporary electricity subsidies and nuclear extension aid winter supply.

✅ Funded via new borrowing; supports LNG and renewable expansion.

German Chancellor Olaf Scholz set out a 200 billion euro ($194 billion) "defensive shield", including a gas price brake and a cut in sales tax for the fuel, to protect companies and households from the impact of soaring energy prices in Germany.

Europe's biggest economy is trying to cope with surging gas and electricity costs, with local utilities seeking help, caused largely by a collapse in Russian gas supplies to Europe, which Moscow has blamed on Western sanctions following its invasion of Ukraine in February.

3 minute readSeptember 29, 202211:35 AM PDTLast Updated 6 days ago
Germany agrees 200 bln euro package to shield against surging energy prices
By Holger Hansen and Kirsti Knolle

"Prices have to come down, so the government will do everything it can. To this end, we are setting up a large defensive shield," said Scholz.

Under the plans, to run until spring 2024, the government will introduce an emergency price brake on gas, the details of which will be announced next month, while Europe weighs emergency measures to limit electricity prices across the bloc. It is scrapping a planned gas levy meant to help firms struggling with high spot market prices. 

A temporary electricity price brake will subsidise basic consumption for consumers and small and medium-sized companies, and complements an electricity subsidy for industries under discussion. Sales tax on gas will fall to 7% from 19%.

In its efforts to cut its dependence on Russian energy, Germany is also promoting the expansion of renewable energy and developing liquefied gas terminals, but rolling back European electricity prices remains complex.

To help households and companies weather any winter supply disruption, amid rising heating and electricity costs this winter, especially in southern Germany, two nuclear plants previously due to close by the end of this year will be able to keep running until spring 2023.

The package will be financed with new borrowing this year, as Berlin makes use of the suspension of a constitutionally enshrined limit on new debt of 0.35% of gross domestic product.

Finance Minister Christian Lindner has said he wants to comply with the limit again next year, even as the EU outlines gas price cap strategies for the market.

Lindner, of the pro-business Free Democrats (FDP) who share power with Scholz's Social Democrats and the Greens, said on Thursday the country's public finances were stable.

"We can put it no other way: we find ourselves in an energy war," said Lindner. "We want to clearly separate crisis expenditure from our regular budget management, we want to send a very clear signal to the capital markets."

He also said the steps would act as a brake on inflation, which hit its highest level in more than a quarter of century in September.

Opposition conservative Markus Soeder, premier of the southern state of Bavaria, said the steps gave the right signal.

"It gives industry and citizens confidence that we can get through the winter," he said.

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U.S. 100% Tariff on Chinese EVs aims to protect domestic manufacturing, counter subsidies, and reshape the EV market, but could raise prices, disrupt supply chains, invite retaliation, and complicate climate policy and trade relations.

Key Points

A 100% import duty on Chinese EVs to boost U.S. manufacturing, counter subsidies, and address supply chain risks.

✅ Protects domestic EV manufacturing and jobs

✅ Counters alleged subsidies and IP concerns

✅ May raise prices, limit choice, trigger retaliation

President Joe Biden's administration recently made headlines with its announcement of a 100% tariff on Chinese electric vehicles (EVs), marking a significant escalation in trade tensions between the two economic powerhouses. The decision, framed as a measure to protect American industries and promote domestic manufacturing, has sparked debates over its potential impact on the EV market, global supply chains, and bilateral relations between the United States and China.

The imposition of a 100% tariff on Chinese-made EVs reflects the Biden administration's broader efforts to revitalize the American automotive industry and promote the transition to electric vehicles as part of its climate agenda and tighter EPA emissions rules that could accelerate adoption. By imposing tariffs on imported EVs, particularly those from China, the administration aims to incentivize domestic production and create jobs in the growing green economy, and to secure critical EV metals through allied supply efforts. Additionally, the tariff is seen as a response to concerns about unfair trade practices, including intellectual property theft and market distortions, allegedly perpetuated by Chinese companies.

However, the announcement has triggered a range of reactions from various stakeholders, with both proponents and critics offering contrasting perspectives on the potential consequences of such a policy. Proponents argue that the tariff will help level the playing field for American automakers, who face stiff competition from Chinese companies benefiting from government subsidies and lower production costs. They contend that promoting domestic manufacturing of EVs will not only create high-quality jobs but also enhance national security by reducing dependence on foreign supply chains at a time when an EV inflection point is approaching.

On the other hand, critics warn that the 100% tariff on Chinese-made EVs could have unintended consequences, including higher prices for consumers, as seen in the UK EV prices and Brexit debate, disruptions to global supply chains, and retaliatory measures from China. Chinese EV manufacturers, such as NIO, BYD, and XPeng, have been gaining momentum in the global market, offering competitive products at relatively affordable prices. The tariff could limit consumer choice at a time when U.S. EV market share dipped in Q1 2024, potentially slowing the adoption of electric vehicles and undermining efforts to combat climate change and reduce greenhouse gas emissions.

Moreover, the tariff announcement comes at a sensitive time for U.S.-China relations, which have been strained by various issues, including trade disputes, human rights concerns, and geopolitical tensions. The imposition of tariffs on Chinese-made EVs could further exacerbate bilateral tensions, potentially leading to retaliatory measures from China and escalating trade frictions. As the world's two largest economies, the United States and China have significant economic interdependencies, and any escalation in trade tensions could have far-reaching implications for global trade and economic stability.

In response to the Biden administration's announcement, Chinese officials have expressed concerns and called for dialogue to resolve trade disputes through negotiation and mutual cooperation. China has also emphasized its commitment to fair trade practices and compliance with international rules and regulations governing trade.

Moving forward, the Biden administration faces the challenge of balancing its domestic priorities with the need to maintain constructive engagement with China and other trading partners, even as EV charging networks scale under its electrification push. While promoting domestic manufacturing and protecting American industries are legitimate policy goals, achieving them without disrupting global trade and undermining diplomatic relations requires careful deliberation and strategic foresight.

In conclusion, President Biden's announcement of a 100% tariff on Chinese-made electric vehicles reflects his administration's commitment to revitalizing American industries and promoting domestic manufacturing. However, the decision has raised concerns about its potential impact on the EV market, global supply chains, and U.S.-China relations. As policymakers navigate these complexities, finding a balance between protecting domestic interests and fostering international cooperation will be crucial to achieving sustainable economic growth and addressing global challenges such as climate change.

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Nighttime thermoradiative power converts outgoing infrared radiation into electricity using semiconductor photodiodes, leveraging negative illumination and sky cooling to harvest renewable energy from Earth-to-space heat flow when solar panels rest, regardless of weather.

Key Points

Nighttime thermoradiative power converts Earth's outgoing infrared heat into electricity using semiconductor diodes.

✅ Uses negative illumination to tap Earth-to-space heat flow

✅ Infrared semiconductor photodiodes generate small nighttime current

✅ Theoretical output ~4 W/m^2; lab demo reached 64 nW/m^2

There's a stark contrast between the freezing temperatures of space and the relatively balmy atmosphere of Earth, and that contrast could help generate electricity, scientists say – and alongside concepts such as space-based solar power, utilizing the same optoelectronic physics used in solar panels. The obvious difference this would have compared with solar energy is that it would work during the night time, a potential source of renewable power that could keep on going round the clock and regardless of weather conditions.

Solar panels are basically large-scale photodiodes - devices made out of a semiconducting material that converts the photons (light particles) coming from the Sun into electricity by exciting electrons in a material such as silicon, while concepts like space solar beaming could complement them during adverse weather.

In this experiment, the photodiodes work 'backwards': as photons in the form of infrared radiation - also known as heat radiation - leave the system, a small amount of energy is produced, similar to how raindrop electricity harvesting taps ambient fluxes in other experiments.

This way, the experimental system takes advantage of what researchers call the "negative illumination effect" – that is, the flow of outgoing radiation as heat escapes from Earth back into space. The setup explained in the new study uses an infrared semiconductor facing into the sky to convert this flow into electrical current.

"The vastness of the Universe is a thermodynamic resource," says one of the researchers, Shanhui Fan from Stanford University in California.

"In terms of optoelectronic physics, there is really this very beautiful symmetry between harvesting incoming radiation and harvesting outgoing radiation."

It's an interesting follow-up to a research project Fan participated in last year: a solar panel that can capture sunlight while also allowing excess heat in the form of infrared radiation to escape into space.

In the new study, this "energy harvesting from the sky" process can produce a measurable amount of electricity, the researchers have shown – though for the time being it's a long way from being efficient enough to contribute to our power grids, but advances in peer-to-peer energy sharing could still make niche deployments valuable.

In the team's experiments they were able to produce 64 nanowatts per square metre (10.8 square feet) of power – only a trickle, but an amazing proof of concept nevertheless. In theory, the right materials and conditions could produce a million times more than that, and analyses of cheap abundant electricity show how rapidly such advances compound, reaching about 4 watts per square metre.

"The amount of power that we can generate with this experiment, at the moment, is far below what the theoretical limit is," says one of the team, Masashi Ono from Stanford.

When you consider today's solar panels are able to generate up to 100-200 watts per square metre, and in China solar is cheaper than grid power across every city, this is obviously a long way behind. Even in its earliest form, though, it could be helpful for keeping low-power devices and machines running at night: not every renewable energy device needs to power up a city.

Now that the researchers have proved this can work, the challenge is to improve the performance of the experimental device. If it continues to show promise, the same idea could be applied to capture energy from waste heat given off by machinery, and results in humidity-powered generation suggest ambient sources are plentiful.

"Such a demonstration of direct power generation of a diode facing the sky has not been previously reported," explain the researchers in their published paper.

"Our results point to a pathway for energy harvesting during the night time directly using the coldness of outer space."

The research has been published in Applied Physics Letters.

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Muskrat Falls Financing Restructuring redirects megadam benefits to ratepayers, stabilizes electricity rates, and overhauls federal provincial loan guarantees for the hydro project, addressing cost overruns flagged by the Public Utilities Board in Newfoundland and Labrador.

Key Points

A revised funding model shifting benefits to ratepayers to curb rate hikes linked to Muskrat Falls cost overruns.

✅ Shields ratepayers from megadam cost overruns

✅ Revises federal provincial loan guarantees

✅ Targets stable electricity rates by 2021 and beyond

Ottawa and Newfoundland and Labrador say they will rewrite the financial structure of the Muskrat Falls hydro project to shield ratepayers from paying for the megadam's cost overruns.

Federal Natural Resources Minister Seamus O'Regan and Premier Dwight Ball announced Monday that their two governments would scrap the financial structure agreed upon in past federal-provincial loan agreements, moving to a model that redirects benefits, such as a lump sum credit, to ratepayers.

Both politicians called the announcement, which was light on dollar figures, a major milestone in easing residents' fears that electricity rates will spike sharply, as seen with Nova Scotia's debated 14% hike, when the over-budget dam comes fully online next year.
"We are in a far better place today thanks to this comprehensive plan," Ball said.

Ball has said the issue of electricity rates is a top priority for his government, and he has pledged to keep rates near existing levels, but rate mitigation talks with Ottawa have dragged on since April.

A report by the province's Public Utilities Board released Friday forecast an "unprecedented" 75 per cent increase in average domestic rates for island residents in 2021, while Nova Scotia's regulator approved a 14% hike, and reported concerns from industrial customers about their ability to remain competitive.

Costs of the Muskrat Falls megadam on Labrador's Lower Churchill River have ballooned to more than $12.7 billion since the project was approved in 2012, according to the latest estimate of Crown corporation Nalcor Energy.

The dam is set to produce more power than the province can sell. Its existing financial structure would have left electricity ratepayers paying for Muskrat Falls to make up the difference starting in 2021, an issue both governments said Monday has been resolved with the relaunch of financing talks.

"Essentially, you won't pay this on your monthly light bills," Ball said.

But details of how the project will meet financing requirements in coming decades to make up the gap in funds are still to be worked out.

Both Ball and O'Regan criticized previous governments for sanctioning the poorly planned development and again pledged their commitment to easing the burden on residents.

"We promised we would be there to help, and we will be," O'Regan said before announcing a "relaunch" of negotiations around the project's financial structure.

He did not say how much the new setup might cost the federal government, despite earlier federal funding commitments, stressing that the new focus will be on the project's long-term sustainability. "There's no single piece of policy ... that can resolve such a large and complicated mess," O'Regan said.

The two governments also said they will work towards electrifying federal buildings to reduce an anticipated power surplus in the province.

In the short term, the federal government said it would allow for "flexibility" in upcoming cash requirements related to debt servicing, allowing deferral of payments if necessary.

Ball said that flexibility was built in to ensure the plan would still be applicable if costs continue to rise before Muskrat Falls is commissioned.

Political opponents criticized Monday's plan as lacking detail.

"What I heard talked about was an agreement that in the future, there's going to be an agreement," said Progressive Conservative Leader Ches Crosbie. "This was an occasion to reassure people that there's a plan in place to make life here affordable, and I didn't see that happen today."

Others addressed the lingering questions about the project's final cost.

Nalcor's latest financial update has remained unchanged since 2017, though the Muskrat Falls project has seen additional delays related to staffing and software issues.

Dennis Browne, the province's consumer advocate, said the switch to a cost of service model is a significant move that will benefit ratepayers, but he said it's impossible to truly restructure the project while it's a work in progress. "We need to know what the figures are, and we don't have them," he said.

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Canada's First Commercial Electric Flight accelerates sustainable aviation, showcasing electric aircraft, pilot training, battery propulsion, and noise reduction, aligning with net-zero goals and e-aviation innovation across commercial, regional, and training operations.

Key Points

Canada's electric flight advances sustainable aviation, proving e-aircraft viability and pilot training readiness.

✅ Battery-electric propulsion cuts emissions and noise

✅ New curricula prepare pilots for electric systems and procedures

✅ Supports net-zero goals through green aviation infrastructure

Canada, renowned for its vast landscapes and pioneering spirit, has achieved a significant milestone in aviation history with its first commercial electric flight. This groundbreaking achievement marks a pivotal moment in the transition towards sustainable aviation and an aviation revolution for the sector, highlighting Canada's commitment to reducing carbon emissions and embracing innovative technologies.

The inaugural commercial electric flight in Canada not only showcases the capabilities of electric aircraft, with examples like Harbour Air's prototype flight demonstrating feasibility, but also underscores the importance of pilot training in advancing e-aviation. As the aviation industry explores cleaner and greener alternatives to traditional fossil fuel-powered aircraft, pilot training plays a crucial role in preparing aviation professionals for the future of sustainable flight.

Electric aircraft, powered by batteries instead of conventional jet fuel, offer numerous environmental benefits, including lower greenhouse gas emissions and reduced noise pollution, though Canada's 2019 electricity mix still included some fossil generation that can affect lifecycle impacts. These advantages align with Canada's ambitious climate goals and commitment to achieving net-zero emissions by 2050. By investing in e-aviation, Canada aims to lead by example in the global effort to decarbonize the aviation sector and mitigate the impacts of climate change.

The success of Canada's first commercial electric flight is a testament to collaborative efforts between industry stakeholders, government support, and technological innovation. Electric aircraft manufacturers have made significant strides in developing reliable and efficient electric propulsion systems, with research investment helping advance prototypes and certification, paving the way for broader adoption of e-aviation across commercial and private sectors.

Pilot training programs tailored for electric aircraft are crucial in ensuring the safe and effective operation of these advanced technologies, as operators target first electric passenger flights across regional routes. Canadian aviation schools and training institutions are at the forefront of integrating e-aviation into their curriculum, equipping future pilots with the skills and knowledge needed to navigate electric aircraft systems and procedures.

Moreover, the introduction of commercial electric flights in Canada opens new opportunities for aviation enthusiasts, environmental advocates, and stakeholders interested in sustainable transportation solutions. The shift towards e-aviation represents a paradigm shift in how air travel is perceived and executed, emphasizing efficiency, environmental stewardship, and technological innovation.

Looking ahead, Canada's role in advancing e-aviation extends beyond pilot training to include research and development, infrastructure investment, and policy support. Collaborative initiatives with industry partners and international counterparts, including Canada-U.S. collaboration on electrification, will be essential in accelerating the adoption of electric aircraft and establishing a robust framework for sustainable aviation practices.

In conclusion, Canada's first commercial electric flight marks a significant milestone in the journey towards sustainable aviation. By pioneering e-aviation through pilot training and technological innovation, Canada sets a precedent for global leadership in reducing carbon emissions and shaping the future of air transportation. As electric aircraft become more prevalent in the skies, Canada's commitment to sustainability and ambitious EV goals at the national level will continue to drive progress towards a cleaner, greener future for aviation worldwide.

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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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