Carbon capture projects up despite costs

Canadian Energy Infrastructure Tariffs are reshaping pipelines, deregulation, and energy independence, as U.S. trade tensions accelerate approvals for Alberta oil sands, Trans Mountain expansion, and CAPP proposals amid regulatory reform and market diversification.

Key Points

U.S. tariff threats drive approvals, infrastructure, and diversification to strengthen Canada energy security.

✅ Tariff risk boosts support for pipelines and export routes

✅ Faster project approvals and deregulation gain political backing

✅ Diversifying markets reduces reliance on U.S. buyers

In recent months, the Canadian energy sector has experienced a shift in public and political attitudes toward infrastructure projects, particularly those related to oil and gas production. This shift has been largely influenced by the threat of tariffs from the United States, as well as growing concerns about energy independence and U.S.-Canada trade tensions more broadly.

Scott Burrows, the CEO of Pembina Pipeline Corp., noted in a conference call that the potential for U.S. tariffs on Canadian energy imports has spurred a renewed sense of urgency and receptiveness toward energy infrastructure projects in Canada. With U.S. President Donald Trump’s proposed tariffs Trump tariff threat on Canadian imports, particularly a 10% tariff on energy products, there is increasing recognition within Canada that these projects are essential for the country’s long-term economic and energy security.

While the direct impact of the tariffs is not immediate, industry leaders are optimistic about the long-term benefits of deregulation and faster project approvals, even as some see Biden as better for Canada’s energy sector overall. Burrows highlighted that while it will take time for the full effects to materialize, there are significant "tailwinds" in favor of faster energy infrastructure development. This includes the possibility of more streamlined regulatory processes and a shift toward more efficient project timelines, which could significantly benefit the Canadian energy sector.

This changing landscape is particularly important for Alberta’s oil production, which is one of the largest contributors to Canada’s energy output. The Canadian Association of Petroleum Producers (CAPP) has responded to the growing tariff threat by releasing an “energy platform,” outlining recommendations for Ottawa to help mitigate the risks posed by the evolving trade situation. The platform includes calls for improved infrastructure, such as pipelines and transportation systems, and priorities like clean grids and batteries, to ensure that Canadian energy can reach global markets more effectively.

The tariff threat has also sparked a wider conversation about the need for Canada to strengthen its energy infrastructure and reduce its dependency on the U.S. for energy exports. With the potential for escalating trade tensions, there is a growing push for Canadian energy resources to be processed and utilized more domestically, though cutting Quebec’s energy exports during a tariff war. This has led to increased political support for projects like the Trans Mountain pipeline expansion, which aims to connect Alberta’s oil sands to new markets in Asia via the west coast.

However, the energy sector’s push for deregulation and quicker approvals has raised concerns among environmental groups and Indigenous communities. Critics argue that fast-tracking energy projects could lead to inadequate environmental assessments and greater risks to local ecosystems. These concerns underscore the tension between economic development and environmental protection in the energy sector.

Despite these concerns, there is a clear consensus that Canada’s energy industry needs to evolve to meet the challenges posed by shifting trade dynamics, even as polls show support for energy and mineral tariffs in the current dispute. The proposed U.S. tariffs have made it increasingly clear that the country’s energy infrastructure needs significant investment and modernization to ensure that Canada can maintain its status as a reliable and competitive energy supplier on the global stage.

As the deadline for the tariff decision approaches, and as Ford threatens to cut U.S. electricity exports, Canada’s energy sector is bracing for the potential fallout, while also preparing to capitalize on any opportunities that may arise from the changing trade environment. The next few months will be critical in determining how Canadian policymakers, businesses, and environmental groups navigate the complex intersection of energy, trade, and regulatory reform.

While the threat of U.S. tariffs may be unsettling, it is also serving as a catalyst for much-needed changes in Canada’s energy policy. The push for faster approvals and deregulation may help address some of the immediate concerns facing the sector, but it will be crucial for the government to balance economic interests with environmental and social considerations as the country moves forward in its energy transition.

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Philippsburg Demolition Delay: EnBW postpones controlled cooling-tower blasts amid the coronavirus pandemic, affecting decommissioning timelines in Baden-Wurttemberg and grid expansion for a transformer station to route renewable power and secure supply in southern Germany.

Key Points

EnBW's COVID-19 delay of Philippsburg cooling-tower blasts, affecting decommissioning and grid plans.

✅ Controlled detonation shifted to mid-May at earliest

✅ Demolition links to transformer station for north-south grid

✅ Supports security of supply in southern Germany

German energy company EnBW said the coronavirus outbreak has impacted plans to dismantle its Philippsburg nuclear power plant in Baden-Wurttemberg, southwest Germany, amid plans to phase out coal and nuclear nationally.

The controlled detonation of Phillipsburg's cooling towers will now take place in mid-May at the earliest, subject to coordination as Germany debates whether to reconsider its nuclear phaseout in light of supply needs.

However, EnBW said the exact demolition date depends on many factors - including the further development in the coronavirus pandemic and ongoing climate policy debates about energy choices.

Philippsburg 2, a 1402MWe pressurised water reactor unit permanently shut down on 31 December 2019, as part of Germany's broader effort to shut down its remaining reactors over time.

At the end of 2019, the Ministry of the Environment gave basic approval for decommissioning and dismantling of unit 2 of the Philippsburg nuclear power plant, inluding explosive demolition of the colling towers. Since then EnBW has worked intensively on getting all the necessary formal steps on the way and performing technical and logistical preparatory work, even as discussions about a potential nuclear resurgence continue nationwide.

“The demolition of the cooling towers is directly related to future security of supply in southern Germany. We therefore feel obliged to drive this project forward," said Jörg Michels head of the EnBW nuclear power division.

The timely removal of the cooling towers is important as the area currently occupied by nuclear plant components is needed for a transformer station for long-distance power lines, an issue underscored during the energy crisis when Germany temporarily extended nuclear power to bolster supply. These will transport electricity from renewable sources in the north to industrial centres in the south.

As of early 2020, there six nuclear reactors in operation in Germany, even as the country turned its back on nuclear in subsequent years. According to research institute Fraunhofer ISE, nuclear power provided about 14% of Germany's net electricity in 2019, less than half of the figure for 2000.

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TTC Winter E-Bike and E-Scooter Ban addresses lithium-ion battery safety, mitigating fire risk on Toronto public transit during cold weather across buses, subways, and streetcars, while balancing micro-mobility access, infrastructure gaps, and evolving regulations.

Key Points

A seasonal TTC policy limiting lithium-ion e-bikes and scooters on transit in winter to cut battery fire risk.

✅ Targets lithium-ion fire hazards in confined transit spaces

✅ Applies Nov-Mar across buses, subways, and streetcars

✅ Sparks debate on equity, accessibility, and policy alternatives

The Toronto Transit Commission (TTC) Board recently voted to implement a ban on lithium-ion-powered electric bikes (e-bikes) and electric scooters during the winter months, a decision that reflects growing safety concerns. This new policy has generated significant debate within the city, particularly regarding the role of these transportation modes in the lives of Torontonians, and the potential risks posed by the technology during cold weather.

A Growing Safety Concern

The move to ban lithium-ion-powered e-bikes and scooters from TTC services during the winter months stems from increasing safety concerns related to battery fires. Lithium-ion batteries, commonly used in e-bikes and scooters, are known to pose a fire risk, especially in colder temperatures, and as systems like Metro Vancouver's battery-electric buses expand, robust safety practices are paramount. In recent years, Toronto has experienced several high-profile incidents involving fires caused by these batteries. In some cases, these fires have occurred on TTC property, including on buses and subway cars, raising alarm among transit officials.

The TTC Board's decision was largely driven by the fear that the cold temperatures during winter months could make lithium-ion batteries more prone to malfunction, leading to potential fires. These batteries are particularly vulnerable to damage when exposed to low temperatures, which can cause them to overheat or fail during charging or use. Since public transit systems are densely populated and rely on close quarters, the risk of a battery fire in a confined space such as a bus or subway is considered too high.

The New Ban

The new rule, which is expected to take effect in the coming months, will prohibit e-bikes and scooters powered by lithium-ion batteries from being brought onto TTC vehicles, including buses, streetcars, and subway trains, even as the agency rolls out battery electric buses across its fleet, during the winter months. While the TTC had previously allowed passengers to bring these devices on board, it had issued warnings regarding their safety. The policy change reflects a more cautious approach to mitigating risk in light of growing concerns.

The winter months, typically from November to March, are when these batteries are at their most vulnerable. In addition to environmental factors, the challenges posed by winter weather—such as snow, ice, and the damp conditions—can exacerbate the potential for damage to these devices. The TTC Board hopes the new ban will prevent further incidents and keep transit riders safe.

Pushback and Debate

Not everyone agrees with the TTC Board's decision. Some residents and advocacy groups have expressed concern that this ban unfairly targets individuals who rely on e-bikes and scooters as an affordable and sustainable mode of transportation, while international examples like Paris's e-scooter vote illustrate how contentious rental devices can be elsewhere, adding fuel to the debate. E-bikes, in particular, have become a popular choice among commuters who want an eco-friendly alternative to driving, especially in a city like Toronto, where traffic congestion can be severe.

Advocates argue that instead of an outright ban, the TTC should invest in safer infrastructure, such as designated storage areas for e-bikes and scooters, or offer guidelines on how to safely store and transport these devices during winter, and, in assessing climate impacts, consider Canada's electricity mix alongside local safety measures. They also point out that other forms of electric transportation, such as electric wheelchairs and mobility scooters, are not subject to the same restrictions, raising questions about the fairness of the new policy.

In response to these concerns, the TTC has assured the public that it remains committed to finding alternative solutions that balance safety with accessibility. Transit officials have stated that they will continue to monitor the situation and consider adjustments to the policy if necessary.

Broader Implications for Transportation in Toronto

The TTC’s decision to ban lithium-ion-powered e-bikes and scooters is part of a broader conversation about the future of transportation in urban centers like Toronto. The rise of electric micro-mobility devices has been seen as a step toward reducing carbon emissions and addressing the city’s growing congestion issues, aligning with Canada's EV goals that push for widespread adoption. However, as more people turn to e-bikes and scooters for daily commuting, concerns about safety and infrastructure have become more pronounced.

The city of Toronto has yet to roll out comprehensive regulations for electric scooters and bikes, and this issue is further complicated by the ongoing push for sustainable urban mobility and pilots like driverless electric shuttles that test new models. While transit authorities grapple with safety risks, the public is increasingly looking for ways to integrate these devices into a broader, more holistic transportation system that prioritizes both convenience and safety.

The TTC’s decision to ban lithium-ion-powered e-bikes and scooters during the winter months is a necessary step to address growing safety concerns in Toronto's public transit system. Although the decision has been met with some resistance, it highlights the ongoing challenges in managing the growing use of electric transportation in urban environments, where initiatives like TTC's electric bus fleet offer lessons on scaling safely. With winter weather exacerbating the risks associated with lithium-ion batteries, the policy seeks to reduce the chances of fires and ensure the safety of all transit users. As the city moves forward, it will need to find ways to balance innovation with public safety to create a more sustainable and safe urban transportation network.

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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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FPL Power Restoration mobilizes Florida linemen and mutual-aid utility crews to repair the grid, track outages with smart meters, prioritize hospitals and essential services, and accelerate hurricane recovery across the state.

Key Points

FPL Power Restoration is the utility's hurricane effort to rebuild the grid and quickly restore service across Florida.

✅ 18,000 mutual-aid utility workers deployed from 28 states

✅ Smart meters pinpoint outages and accelerate repairs

✅ Critical facilities prioritized before neighborhood restorations

Teams of Florida Power & Light linemen, assisted by thousands of out-of-state utility workers and 200 Ontario workers who joined the effort, scrambled across Florida Monday to tackle the Herculean task of turning the lights back on in the Sunshine State.

The job is quite simply mind-boggling as Irma caused extensive damages to the power grid and the outages have broken previous records, and in other storms Louisiana's grid needed a complete rebuild after Hurricane Laura to restore service.

By 3 p.m. Monday, some 3.47 million of the company's 4.9 million customers in Florida were without power. This breaks the record of 3.24 million knocked off the grid during Hurricane Wilma in 2005, according to FPL spokesman Bill Orlove.

Prepared to face massive outages, FPL brought some 18,000 utility workers from 28 states here to join FPL crews, including Canadian power crews arriving to help restore service, to enable them to act more quickly.

“That’s the thing about the utility industry,” said  Alys Daly, an FPL spokeswoman. “It’s truly a family.”

Even with what is believed to be the largest assembly of utility workers ever assembled for a single storm in the United States, power restoration is expected to take weeks, not days in some areas.

FPL vowed to work as quickly as possible as they assess the damage and send out crews to restore power.

"We understand that people need to have power right away to get their lives back to normal," Daly said.

The priority, she said, were medical and emergency management facilities and then essential service providers like gas stations and grocery stores.

After that, FPL will endeavor to repair the problems that will restore power to the maximum number of people possible. Then it's individual neighborhoods.

As of 3 p.m. Monday, 219,040 of FPL's 307,600 customers on the Space Coast had no power. That's an improvement over the 260,600 earlier in the day.

Daly was unable to say Monday how many crews FPL had working in Brevard County. In some areas, power came back relatively swiftly, much quicker than expected.

" I was definitely surprised at how quickly they got our power back on here in NE Palm Bay," said Kelli Coats. "We lost power last night around 9 p.m Sunday and regained power around 8:30 a.m. today."

Others, many of them beachside, were looking at a full 24 hours without power and it's possible it could extend into Tuesday or longer.

One reason for improved response times since 2005, Daly said, is the installation of nearly 5 million "Smart Meters" at residences. These new devices, which replaced older analog models, allows FPL crews to track a neighborhood's power status via handheld computers, pinpointing the cause of an outage so it can be repaired.

Quick restoration is key as stores and restaurants struggle to re-open, and Gulf Power crews restored power in the early push. Without electricity many of them just can't re-start operations and get goods and services to consumers.

At the Atlanta-based Waffle House, which Federal Emergency Management Administration use to gauge the severity of damage and service to an area, restaurant executives are reviewing its operations in Florida and should have a better handle Monday afternoon how quickly restaurants will re-open.

"Right now, we're in an assessment phase," said Pat Warner, spokesman for Waffle House. "We're looking at which stores have power and which ones have damage."

FEMA's color-coded Waffle House Index started after the hurricanes in the early 2000s. It works like this: When an official phones a Waffle House to see if it is open,  the next stop is to assess it's level of service. If it's open and serving a full menu, the index is green. When the restaurant is open but serving a limited menu, it's yellow. When it's closed, it's red.

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SDG&E Minimum Bill Proposal would impose a $38.40 fixed charge, discouraging rooftop solar, burdening low income households, and shifting grid costs during peak demand, as the CPUC weighs consumer impacts and affordability.

Key Points

Sets a $38.40 monthly minimum bill that raises low usage costs, deters rooftop solar, and burdens low income households.

✅ $38.40 fixed charge regardless of usage

✅ Disincentivizes rooftop solar investments

✅ Disproportionate impact on low income customers

The utility San Diego Gas & Energy has an aggressive proposal pending before the California Public Utilities Commission, amid recent commission changes in San Diego that highlight how regulatory decisions affect local customers: It wants to charge most residential customers a minimum bill of $38.40 each month, regardless of how much energy they use. The costs of this policy would hit low-income customers and those who generate their own energy with rooftop solar. We’re urging the Commission to oppose this flawed plan—and we need your help.

SDG&E’s proposal is bad news for sustainable energy. About half of the customers whose bills would go up under this proposal have rooftop solar. The policy would deter other customers from investing in rooftop solar by making these investments less economical. Ultimately, lost opportunities for solar would mean burning more gas in polluting power plants. 

The proposal is also bad news for people who already have to scrimp on energy costs. Most customers with big homes and billowing air conditioners won't notice if this policy goes into effect, because they use at least $38 worth of electricity a month anyway. But for households that don’t buy much electricity from the company, including those in small apartments without air conditioning, this proposal would raise the bills. Even for customers on special low-income rates, amid electric bill changes statewide, SDG&E wants a minimum bill of $19.20.

Penalizing customers who don’t use much electricity would disproportionately hurt lower-income customers, raising energy equity concerns across the region, who tend to use less energy than their wealthier neighbors. In the region SDG&E serves, the average family in an apartment uses half as much electricity as a single-family residence. Statewide, low-income households are more than four times as likely to be low-usage electricity customers than high-income households. When it gets hot, residential electricity patterns are often driven by air conditioning. The vast majority of SDG&E's customers live in the coastal climate zone, where access to air conditioning is strongly linked to income: Households with incomes over $150,000 are more than twice as likely to have air conditioning than families making less than $35,000, with significant racial disparities in who has AC.

In its attempt to rationalize its request, SDG&E argues that it should charge everyone for infrastructure costs that do not depend on how much energy they use. But the cost of the grid is driven by how much energy SDG&E delivers on hot summer afternoons, when some customers blast their AC and demand for electricity peaks. If more customers relied on their own solar power or conserved energy, the utility would spend less on its grid and help rein in soaring electricity prices over time.

In the long term, reducing incentives to go solar and conserve energy will strain the grid and drive up costs for everyone, especially as lawmakers may overturn income-based charges and reshape rate design. SDG&E's arguments are part of a standard utility playbook for trying to hike income-based fixed charges, and consumer advocates have repeatedly shut them down.  As far as we know, no regulators in the country have allowed a utility to charge customers over $38 for the “privilege” of accessing electric service. 

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