Newfoundland island tests replacing diesel with renewable energy

Brazil ICMS Tax Cap limits state VAT on fuels, natural gas, electricity, communications, and transit, promising short-term price relief amid inflation, with federal compensation to states and potential legal challenges affecting investments and ANP auctions.

Key Points

A policy capping state VAT at 17-18 percent on fuels, electricity, and services to temper prices and inflation.

✅ Caps VAT to 17-18% on fuels, power, telecom, transit

✅ Short-term relief; medium-long term impact uncertain

✅ Federal compensation; potential court challenges, investment risk

Brazil’s congress approved a bill that limits the ICMS tax rate that state governments can charge on fuels, natural gas, electricity, communications, and public transportation. 

Local lawyers told BNamericas that the measure may reduce fuel and power prices in the short term, similar to Brazil power sector relief loans seen during the pandemic, but it is unlikely to produce any major effects in the medium and long term. 

In most states the ceiling was set at 17% or 18% and the federal government will pay compensation to the states for lost tax revenue until December 31, via reduced payments on debts that states owe the federal government.

The bill will become law once signed by President Jair Bolsonaro, who pushed strongly for the proposal with an eye on his struggling reelection campaign for the October presidential election. Double-digit inflation has turned into a major election issue and fuel and electricity prices have been among the main inflation drivers, as seen in EU energy-driven inflation across the bloc this year. Congress’ approval of the bill is seen by analysts as political victory for the Brazilian leader.

How much difference will it make?

Marcus Francisco, tax specialist and partner at Villemor Amaral Advogados, said that in the formation of fuel and electricity prices there are other factors, including high natural gas prices, that drive increases.

“In the case of fuels, if the barrel of oil [price] increases, automatically the final price for the consumer will go up. For electricity, on the other hand, there are several subsidies and policy choices such as Florida rejecting federal solar incentives that are part of the price and that can increase the rate [paid],” he said. 

There is also a possibility that some states will take the issue to the supreme court since ICMS is a key source of revenue for them, Francisco added.

Tiago Severini, a partner at law firm Vieira Rezende, said the comparison between the revenue impact and the effective price reduction, based on the estimates made by the states and the federal government, seems disproportionate, and, as seen in Europe, rolling back European electricity prices is often tougher than it appears. 

“In other words, a large tax collection impact is generated, which is quite unequal among the different states, for a not so strong price reduction,” he said.

“Due to the lack of clarity regarding the precision of the calculations involved, it’s difficult even to assess the adequacy of the offsets the federal government has been considering, and international cases such as France's new electricity pricing scheme illustrate how complex it can be to align fiscal offsets with regulatory constraints, to cover the cost it would have with the compensation for the states” Severini added.

The compensation ideas that are known so far include hiking other taxes, such as the social contribution on net profits (CSLL) that is paid by oil and gas firms focused on exploration and production.

“This can generate severe adverse effects, such as legal disputes, reduced investments in the country, and reduced attractiveness of the new auctions by [sector regulator] ANP, and costly interventions like the Texas electricity market bailout after extreme weather events,” Severini said. 

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Existing Nuclear Reactor Lifetime Extension sustains carbon-free electricity, supports deep decarbonization, and advances net zero climate goals by preserving the US nuclear fleet, stabilizing the grid, and complementing advanced reactors.

Key Points

Extending licenses keeps carbon-free nuclear online, stabilizes grid, and accelerates decarbonization toward net zero.

✅ Preserves 24/7 carbon-free baseload to meet climate targets

✅ Avoids emissions and replacement costs from premature retirements

✅ Complements advanced reactors; reduces capital and material needs

Nuclear power is the single largest source of carbon-free energy in the United States and currently provides nearly 20 percent of the nation’s electrical demand. As a result, many analyses have investigated the potential of future nuclear energy contributions in addressing climate change and investing in carbon-free electricity across the sector. However, few assess the value of existing nuclear power reactors.

Research led by Pacific Northwest National Laboratory (PNNL) Earth scientist Son H. Kim, with the Joint Global Change Research Institute (JGCRI), a partnership between PNNL and the University of Maryland, has added insight to the scarce literature and is the first to evaluate nuclear energy for meeting deep decarbonization goals amid rising credit risks for nuclear power identified by Moody's. Kim sought to answer the question: How much do our existing nuclear reactors contribute to the mission of meeting the country’s climate goals, both now and if their operating licenses were extended?

As the world races to discover solutions for reaching net zero as part of the global energy transition now underway, Kim’s report quantifies the economic value of bringing the existing nuclear fleet into the year 2100. It outlines its significant contributions to limiting global warming.

Plants slated to close by 2050 could be among the most important players in a challenge requiring all available carbon-free technology solutions—emerging and existing—alongside renewable electricity in many regions, the report finds. New nuclear technology also has a part to play, and its contributions could be boosted by driving down construction costs.  

“Even modest reductions in capital costs could bring big climate benefits,” said Kim. “Significant effort has been incorporated into the design of advanced reactors to reduce the use of all materials in general, such as concrete and steel because that directly translates into reduced costs and carbon emissions.”

Nuclear power reactors face an uncertain future, and some utilities face investor pressure to release climate reports as well.
The nuclear power fleet in the United States consists of 93 operating reactors across 28 states. Most of these plants were constructed and deployed between 1970-1990. Half of the fleet has outlived its original operating license lifetime of 40 years. While most reactors have had their licenses renewed for an additional 20 years, and some for another 20, the total number of reactors that will receive a lifetime extension to operate a full 80 years from deployment is uncertain.

Other countries also rely on nuclear energy. In France, for example, nuclear energy provides 70 percent of the country’s power supply. They and other countries must also consider extending the lifetime, retiring, or building new, modern reactors while navigating Canadian climate policy implications for electricity grids. However, the U.S. faces the potential retirement of many reactors in a short period—this could have a far stronger impact than the staggered closures other countries may experience.

“Our existing nuclear power plants are aging, and with their current 60-year lifetimes, nearly all of them will be gone by 2050. It’s ironic. We have a net zero goal to reach by 2050, yet our single largest source of carbon-free electricity is at risk of closure, as seen in New Zealand's electricity transition debates,“ said Kim.

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AI-Powered Utility Customer Experience enables transparency, real-time pricing, smart thermostats, demand response, and billing optimization, helping utilities integrate distributed energy resources, battery storage, and microgrids while boosting customer satisfaction and reducing costs.

Key Points

An approach where utilities use AI and real-time data to personalize service, optimize billing, and cut energy costs.

✅ Real-time pricing aligns retail and wholesale market signals

✅ Device control via smart thermostats and home energy management

✅ Analytics reveal appliance-level usage and personalized savings

The latest electric utility customer satisfaction survey results from the American Customer Satisfaction Index (ACSI) Energy Utilities report reveal that nearly every investor-owned utility saw customer satisfaction go down from 2018 to 2019. Residential customers are sending a clear message in the report: They want more transparency and control over energy usage, billing and ways to reduce costs.

With both customer satisfaction and utility revenues on the decline, utilities are facing daunting challenges to their traditional business models amid flat electricity demand across many markets today. That said, it is the utilities that see these changing times as an opportunity to evolve that will become the energy leaders of tomorrow, where the customer relationship is no longer defined by sales volume but instead by a utility company's ability to optimize service and deliver meaningful customer solutions.

We have seen how the proliferation of centralized and distributed renewables on the grid has already dramatically changed the cost profile of traditional generation and variability of wholesale energy prices. This signals the real cost drivers in the future will come from optimizing energy service with things like batteries, microgrids and peer-to-peer trading networks. In the foreseeable future, flat electricity rates may be the norm, or electricity might even become entirely free as services become the primary source of utility revenue.

The key to this future is technological innovation that allows utilities to better understand a customer’s unique needs and priorities and then deliver personalized, well-timed solutions that make customers feel valued and appreciated as their utility helps them save and alleviates their greatest pain points.

I predict utilities that adopt new technologies focused on customer experience, aligned with key utility trends shaping the sector, and deliver continual service improvements and optimization will earn the most satisfied, most loyal customers.

To illustrate this, look at how fixed pricing today is applied for most residential customers. Unless you live in one of the states with deregulated utilities where most customers are free to choose a service provider in a competitive marketplace, as consumers in power markets increasingly reshape offerings, fixed-rate tariffs or time-of-use tariffs might be the only rate structures you have ever known, though new utility rate designs are being tested nationwide today. These tariffs are often market distortions, bearing little relation to the real-time price that the utility pays on the wholesale market.

It can be easy enough to compare the rate you pay as a consumer and the market rate that utilities pay. The California ISO has a public dashboard -- as do other grid operators -- that shows the real-time marginal cost of energy. On a recent Friday, for example, a buyer in San Francisco could go to the real-time market and procure electricity at a rate of around 9.5 cents per kilowatt-hour (kWh), yet a residential customer can pay the utility PG&E between 22 cents and 49 cents per kWh amid major changes to electric bills being debated, depending on usage.

The problem is that utility customers do not usually see this data or know how to interpret it in a way that helps add value to their service or drive down the cost.

This is a scenario ripe for innovation. Artificial intelligence (AI) technologies are beginning to be applied to give customers the transparency and control over the energy they desire, and a new type of utility is emerging using real-time pricing signals from wholesale markets to give households hassle-free energy savings. Evolve Energy in Texas is developing a utility service model, even as Texas utilities revisit smart home network strategies, that delivers electricity to consumers at real-time market prices and connects to smart thermostats and other connected devices in the home for simple monitoring and control -- all managed via an intuitive consumer app.

My company, Bidgely, partners with utilities and energy retailers all over the world to apply artificial intelligence and machine learning algorithms to customer data in order to bring transparency to their electricity bills, showing exactly where the customers’ money is going down to the appliance and offering personalized, actionable advice on how to save.

Another example is from energy management company Keewi. Its wireless outlet adaptors are revealing real-time energy usage information to Texas A&M dorm residents as well as providing students the ability to conserve energy through controlling items in their rooms from their smartphones.

These are but a few examples of innovations among many in play that answer the consumer demand for increased transparency and control over energy usage.

Electric service providers will be closely watching how consumers respond to AI-driven innovation, including providers in traditionally regulated markets that are exploring equitable regulation approaches now, to stay aligned with policy and customer expectations. While regulated utilities have no reason to fear that their customers might sign up with a competitor, they understand that the revenues from electricity sales are going down and the deployment of distributed energy resources is going up. Both trends were reflected in a March report from Bloomberg New Energy Finance (via ThinkProgress) that claimed unsubsidized storage projects co-located with solar or wind are starting to compete with coal and gas for dispatchable power. Change is coming to regulated markets, and some of that change can be attributed to customer dissatisfaction with utility service.

Like so many industries before, the utility-customer relationship is on track to become less about measuring unit sales and more about driving revenue through services and delivering the best customer value. Loyal customers are most likely to listen and follow through on the utility’s advice and to trust the utility for a wide range of energy-related products and services. Utilities that make customer experience the highest priority today will emerge tomorrow as the leaders of a new energy service era.

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UK Nuclear Free Electricity Incentive proposes community benefits near reactors, echoing France, supporting net zero goals, energy security, and streamlined planning, while addressing regulation and judicial review challenges for Sizewell C and future nuclear projects.

Key Points

A proposed policy to give free power to residents near reactors, supporting net zero and energy security.

✅ Free power for communities near nuclear plants

✅ Aligns with net zero and energy security goals

✅ Seeks streamlined planning and fewer approvals

UK Business Secretary Jacob Rees-Mogg has endorsed a French-style nuclear system that sees people living near nuclear power stations receive free electricity.

Speaking at an event organised by Policy Exchange think tank, Jacob Rees-Mogg said: “Nuclear power is just fundamental. There’s no way we can get to net zero emissions, or even have an intelligent electricity strategy and grid reform in the UK, without nuclear.”

Highlighting that this was his view and not a government policy announcement, he said: “We should copy the French. As I understand, if you live near a nuclear power station in France, you get free electricity and that’s great because then, I’ll have two in my garden if I get free electricity for my children as well.

“I think you want to recognise that things you do that are in the national interest, such as a state-owned generation company, must benefit those who make the sacrifice for the national interest.”

Earlier Mr Rees-Mogg stressed that he would like to see a simpler development consent process for new nuclear power plants to enable the next waves of reactors in the UK, amid concerns that Europe is losing nuclear power just when it really needs energy.

He said: “That’s a lot of regulation around that, as seen when nuclear plant plans collapsed in Wales and impacted the local economy. Did you know that Sizewell C will require 140 individual approvals from arms of the state, each one of which is potentially subject to judicial review.”

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Medicine Hat Smart Grid AI modernizes electricity distribution with automation, sensors, and demand response, enhancing energy efficiency and renewable integration while using predictive analytics and real-time data to reduce consumption and optimize grid operations.

Key Points

An initiative using smart grid tech and AI to optimize energy use, cut waste, and improve renewable integration.

✅ Predictive analytics forecast demand to balance load and prevent outages.

✅ Automation, sensors, and meters enable dynamic, resilient distribution.

✅ Integrates solar and wind with demand response to cut emissions.

The city of Medicine Hat, Alberta, is taking bold steps toward enhancing its energy infrastructure and reducing electricity consumption with the help of innovative technology. Recently, several grant winners have been selected to improve the city's electricity grid distribution and leverage artificial intelligence (AI) to adapt to electricity demands while optimizing energy use. These projects promise to not only streamline energy delivery but also contribute to more sustainable practices by reducing energy waste.

Advancing the Electricity Grid

Medicine Hat’s electricity grid is undergoing a significant transformation, thanks to a new set of initiatives funded by government grants that advance a smarter electricity infrastructure vision for the region. The city has long been known for its commitment to sustainable energy practices, and these new projects are part of that legacy. The winners of the grants aim to modernize the city’s electricity grid to make it more resilient, efficient, and adaptable to the changing demands of the future, aligning with macrogrid strategies adopted nationally.

At the core of these upgrades is the integration of smart grid technologies. A smart grid is a more advanced version of the traditional power grid, incorporating digital communications and real-time data to optimize the delivery and use of electricity. By connecting sensors, meters, and control systems across the grid, along with the integration of AI data centers where appropriate, the grid can detect and respond to changes in demand, adjust to faults or outages, and even integrate renewable energy sources more efficiently.

One of the key aspects of the grant-funded projects involves automating the grid. Automation allows for the dynamic adjustment of power distribution in response to changes in demand or supply, reducing the risk of blackouts or inefficiencies. For instance, if an area of the city experiences a surge in energy use, the grid can automatically reroute power from less-used areas or adjust the distribution to avoid overloading circuits. This kind of dynamic response is crucial for maintaining a stable and reliable electricity supply.

Moreover, the enhanced grid will be able to better incorporate renewable energy sources such as solar and wind power, reflecting British Columbia's clean-energy shift as well, which are increasingly important in Alberta’s energy mix. By utilizing a more flexible and responsive grid, Medicine Hat can make the most of renewable energy when it is available, reducing reliance on non-renewable sources.

Using AI to Reduce Energy Consumption

While improving the grid infrastructure is an essential first step, the real innovation comes in the form of using artificial intelligence (AI) to reduce energy consumption. Several of the grant winners are focused on developing AI-driven solutions that can predict energy demand patterns, optimize energy use in real-time, and encourage consumers to reduce unnecessary energy consumption.

AI can be used to analyze vast amounts of data from across the electricity grid, such as weather forecasts, historical energy usage, and real-time consumption data. This analysis can then be used to make predictions about future energy needs. For example, AI can predict when the demand for electricity will peak, allowing the grid operators to adjust supply ahead of time, ensuring a more efficient distribution of power. By predicting high-demand periods, AI can also assist in optimizing the use of renewable energy sources, ensuring that solar and wind power are utilized when they are most abundant.

In addition to grid management, AI can help consumers save energy by making smarter decisions about how and when to use electricity. For instance, AI-powered smart home devices can learn household routines and adjust heating, cooling, and appliance usage to reduce energy consumption without compromising comfort. By using data to optimize energy use, these technologies not only reduce costs for consumers but also decrease overall demand on the grid, leading to a more sustainable energy system.

The AI initiatives are also expected to assist businesses in reducing their carbon footprints. By using AI to monitor and optimize energy use, industrial and commercial enterprises can cut down on waste and reduce energy-related operational costs, while anticipating digital load growth signaled by an Alberta data centre agreement in the province. This has the potential to make Medicine Hat a more energy-efficient city, benefiting both residents and businesses alike.

A Sustainable Future

The integration of smart grid technology and AI-driven solutions is positioning Medicine Hat as a leader in sustainable energy practices. The city’s approach is focused not only on improving energy efficiency and reducing waste but also on making electricity consumption more manageable and adaptable in a rapidly changing world. These innovations are a crucial part of Medicine Hat's long-term strategy to reduce carbon emissions and meet climate goals while ensuring reliable and affordable energy for its residents.

In addition to the immediate benefits of these projects, the broader impact is likely to influence other municipalities across Canada, including insights from Toronto's electricity planning for rapid growth, and beyond. As the technology matures and proves successful, it could set a benchmark for other cities looking to modernize their energy grids and adopt sustainable, AI-driven solutions.

By investing in these forward-thinking technologies, Medicine Hat is not only future-proofing its energy infrastructure but also taking decisive steps toward a greener, more energy-efficient future. The collaboration between local government, technology providers, and the community marks a significant milestone in the city’s commitment to innovation and sustainability.

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Ontario Electricity Transition faces surging demand, GHG targets, and federal regulations, balancing natural gas, renewables, battery storage, and grid reliability while pursuing net-zero by 2035 and cost-effective decarbonization for industry, EVs, and growing populations.

Key Points

Ontario Electricity Transition is the province's shift to a reliable, low-GHG grid via renewables, storage, and policy.

✅ Demand up 75% by 2050; procurement adds 4,000 MW capacity.

✅ Gas use rises to 25% by 2030, challenging GHG goals.

✅ Tripling wind and solar with storage can cut costs and emissions.

Ontario's electricity sector stands at a pivotal crossroads. Once a leader in clean energy, the province now faces the dual challenge of meeting surging demand while adhering to stringent greenhouse gas (GHG) reduction targets. Recent developments, including the expansion of natural gas infrastructure and proposed federal regulations, have intensified debates about the future of Ontario's energy landscape, as this analysis explains in detail.

Rising Demand and the Need for Expansion

Ontario's electricity demand is projected to increase by 75% by 2050, equivalent to adding four and a half cities the size of Toronto to the grid. This surge is driven by factors such as industrial electrification, population growth, and the transition to electric vehicles. In response, as Ontario confronts a looming shortfall in the coming years, the provincial government has initiated its most ambitious energy procurement plan to date, aiming to secure an additional 4,000 megawatts of capacity by 2030. This includes investments in battery storage and natural gas generation to ensure grid reliability during peak demand periods.

The Role of Natural Gas: A Controversial Bridge

Natural gas has become a cornerstone of Ontario's strategy to meet immediate energy needs. However, this reliance comes with environmental costs. The Independent Electricity System Operator (IESO) projects that by 2030, natural gas will account for 25% of Ontario's electricity supply, up from 4% in 2017. This shift raises concerns about the province's ability to meet its GHG reduction targets and to embrace clean power in practice. 

The expansion of gas-fired plants, including broader plans for new gas capacity, such as the Portlands Energy Centre in Toronto, has sparked public outcry. Environmental groups argue that these expansions could undermine local emissions reduction goals and exacerbate health issues related to air quality. For instance, emissions from the Portlands plant have surged from 188,000 tonnes in 2017 to over 600,000 tonnes in 2021, with projections indicating a potential increase to 1.65 million tonnes if the expansion proceeds as planned. 

Federal Regulations and Economic Implications

The federal government's proposed clean electricity regulations aim to achieve a net-zero electricity sector by 2035. However, Ontario's government has expressed concerns that these regulations could impose significant financial burdens. An analysis by the IESO suggests that complying with the new rules would require doubling the province's electricity generation capacity, potentially adding $35 billion in costs by 2050, while other estimates suggest that greening Ontario's grid could cost $400 billion over time. This could result in higher residential electricity bills, ranging from $132 to $168 annually starting in 2033.

Pathways to a Sustainable Future

Experts advocate for a diversified approach to decarbonization that balances environmental goals with economic feasibility. Investments in renewable energy sources, such as new wind and solar resources, along with advancements in energy storage technologies, are seen as critical components of a sustainable energy strategy. Additionally, implementing energy efficiency measures and modernizing grid infrastructure can enhance system resilience and reduce emissions. 

The Ontario Clean Air Alliance proposes phasing out gas power by 2035 through a combination of tripling wind and solar capacity and investing in energy efficiency and storage solutions. This approach not only aims to reduce emissions but also offers potential cost savings compared to continued reliance on gas-fired generation. 

Ontario's journey toward a decarbonized electricity grid is fraught with challenges, including balancing reliability, clean, affordable electricity, and environmental sustainability. While natural gas currently plays a significant role in meeting the province's energy needs, its long-term viability as a bridge fuel remains contentious. The path forward will require careful consideration of technological innovations, regulatory frameworks, and public engagement to ensure a clean, reliable, and economically viable energy future for all Ontarians.

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