Nuclear Safety Commission grants local plants 5-year licences

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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Carbon Price Support, the UK carbon tax on power, slashed coal generation, cut CO2 emissions, boosted gas and imports via interconnectors, and signaled effective electricity market decarbonization across Great Britain and the EU.

Key Points

A UK power-sector carbon tax that drove coal off the grid, cut emissions, and shifted generation toward gas and imports.

✅ Coal generation fell from 40% to 3% in six years

✅ Rate rose to £18/tCO2 in 2015, boosting the coal-to-gas switch

✅ Added ~£39 to 2018 bills; imports via interconnectors eased prices

A tax on carbon dioxide emissions in Great Britain, introduced in 2013, has led to the proportion of electricity generated from coal falling from 40% to 3% over six years, a trend mirrored by global coal decline in power generation, according to research led by UCL.

British electricity generated from coal fell from 13.1 TWh (terawatt hours) in 2013 to 0.97 TWh in September 2019, and was replaced by other less emission-heavy forms of generation such as gas, as producers move away from coal in many markets. The decline in coal generation accelerated substantially after the tax was increased in 2015.

In the report, 'The Value of International Electricity Trading', researchers from UCL and the University of Cambridge also showed that the tax—called Carbon Price Support—added on average £39 to British household electricity bills, within the broader context of UK net zero policies shaping the energy transition, collecting around £740m for the Treasury, in 2018.

Academics researched how the tax affected electricity flows to connected countries and interconnector (the large cables connecting the countries) revenue between 2015—when the tax was increased to £18 per tonne of carbon dioxide—and 2018. Following this increase, the share of coal-fired electricity generation fell from 28% in 2015 to 5% in 2018, reaching 3% by September 2019. Increased electricity imports from the continent, alongside the EU electricity demand outlook across member states, reduced the price impact in the UK, and meant that some of the cost was paid through a slight increase in continental electricity prices (mainly in France and the Netherlands).

Project lead Dr. Giorgio Castagneto Gissey (Bartlett Institute for Sustainable Resources, UCL) said: "Should EU countries also adopt a high carbon tax we would likely see huge carbon emission reductions throughout the Continent, as we've seen in Great Britain over the last few years."

Lead author, Professor David Newbery (University of Cambridge), said: "The Carbon Price Support provides a clear signal to our neighbours of its efficacy at reducing CO2 emissions."

The Carbon Price Support was introduced in England, Scotland and Wales at a rate of £4.94 per tonne of carbon dioxide-equivalent and is now capped at £18 until 2021.The tax is one part of the Total Carbon Price, which also includes the price of EU Emissions Trading System permits and reflects global CO2 emissions trends shaping policy design.

Report co-author Bowei Guo (University of Cambridge) said: "The Carbon Price Support has been instrumental in driving coal off the grid, but we show how it also creates distortions to cross-border trade, making a case for EU-wide adoption."

Professor Michael Grubb (Bartlett Institute for Sustainable Resources, UCL) said: "Great Britain's electricity transition is a monumental achievement of global interest, and has also demonstrated the power of an effective carbon price in lowering dependence on electricity generated from coal."

The overall report on electricity trading also covers the value of EU interconnectors to Great Britain, measures the efficiency of cross-border electricity trading and considers the value of post-Brexit decoupling from EU electricity markets, setting these findings against the global energy transition underway.

Published today, the report annex focusing on the Carbon Price Support was produced by UCL to focus on the impact of the tax on British energy bills, with comparisons to Canadian climate policy debates informing grid impacts.

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Attosecond Electron Transport uses ultrafast lasers and single-cycle light pulses to drive tunneling in bowtie gold nanoantennas, enabling sub-femtosecond switching in optoelectronic nanostructures and surpassing picosecond silicon limits for next-gen computing.

Key Points

A light-driven method that manipulates electrons with ultrafast pulses to switch currents within attoseconds.

✅ Uses single-cycle light pulses to drive electron tunneling

✅ Achieves 600 attosecond current switching in nano-gaps

✅ Enables optoelectronic, plasmonic devices beyond silicon

When it comes to data transfer and computing, the faster we can shift electrons and conduct electricity the better – and scientists have just been able to transport electrons at sub-femtosecond speeds (less than one quadrillionth of a second) in an experimental setup.

The trick is manipulating the electrons with light waves that are specially crafted and produced by an ultrafast laser. It might be a long while before this sort of setup makes it into your laptop, but similar precision is seen in noninvasive interventions where targeted electrical stimulation can boost short-term memory for limited periods, and the fact they pulled it off promises a significant step forward in terms of what we can expect from our devices.

Right now, the fastest electronic components can be switched on or off in picoseconds (trillionths of a second), a pace that intersects with debates over 5G electricity use as systems scale, around 1,000 times slower than a femtosecond.

With their new method, the physicists were able to switch electric currents at around 600 attoseconds (one femtosecond is 1,000 attoseconds).

"This may well be the distant future of electronics," says physicist Alfred Leitenstorfer from the University of Konstanz in Germany. "Our experiments with single-cycle light pulses have taken us well into the attosecond range of electron transport."

Leitenstorfer and his colleagues were able to build a precise setup at the Centre for Applied Photonics in Konstanz. Their machinery included both the ability to carefully manipulate ultrashort light pulses, and to construct the necessary nanostructures, including graphene architectures, where appropriate.

The laser used by the team was able to push out one hundred million single-cycle light pulses every single second in order to generate a measurable current. Using nanoscale gold antennae in a bowtie shape (see the image above), the electric field of the pulse was concentrated down into a gap measuring just six nanometres wide (six thousand-millionths of a metre).

As a result of their specialist setup and the electron tunnelling and accelerating it produced, the researchers could switch electric currents at well under a femtosecond – less than half an oscillation period of the electric field of the light pulses.

Getting beyond the restrictions of conventional silicon semiconductor technology has proved a challenge for scientists, but using the insanely fast oscillations of light to help electrons pick up speed could provide new avenues for pushing the limits on electronics, as our power infrastructure is increasingly digitized and integrated with photonics.

And that's something that could be very advantageous in the next generation of computers: scientists are currently experimenting with the way that light and electronics could work together in all sorts of different ways, from noninvasive brain stimulation to novel sensors.

Eventually, Leitenstorfer and his team think that the limitations of today's computing systems could be overcome using plasmonic nanoparticles and optoelectronic devices, using the characteristics of light pulses to manipulate electrons at super-small scales, with related work even exploring electricity from snowfall under specific conditions.

"This is very basic research we are talking about here and may take decades to implement," says Leitenstorfer.

The next step is to experiment with a variety of different setups using the same principle. This approach might even offer insights into quantum computing, the researchers say, although there's a lot more work to get through yet - we can't wait to see what they'll achieve next.

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Ontario Industrial Electricity Pricing Reforms aim to cut regulatory burden for industrial ratepayers through an energy concierge service, IESO billing reviews, GA estimation enhancements, clearer peak demand data, and contract cost savings.

Key Points

Measures to reduce industrial power costs via an energy concierge, IESO and GA reviews, and better peak demand data.

✅ Energy concierge eases pricing and connection inquiries

✅ IESO to simplify bills and refine GA estimation

✅ Real-time peak data and contract savings under review

Ontario's government is pursuing burden reduction measures for industrial electricity ratepayers, including legislation to lower rates to help businesses compete, and stimulate growth and investment.

Over the next year, Ontario will help industrial electricity ratepayers focus on their businesses instead of their electricity management practices by establishing an energy concierge service to provide businesses with better customer service and easier access to information about electricity pricing and changes for electricity consumers as well as connection processes.

Ontario is also tasking the Independent Electricity System Operator (IESO) to review and report back on its billing, settlement and customer service processes, building on initiatives such as electricity auctions that aim to reduce costs.

Improve and simplify industrial electricity bills, including clarifying the recovery rate that affects charges;

Review how the monthly Global Adjustment (GA) charge is estimated and identify potential enhancements related to cost allocation across classes; and,

Improve peak demand data publication processes and assess the feasibility of using real-time data to determine the factors that allocate GA costs to consumers.

Further, as part of the government's continued effort to finding efficiencies in the electricity system, Ontario is also directing IESO to review generation contracts to find opportunities for cost savings.

These measures are based on industry feedback received during extensive industrial electricity price consultations held between April and July 2019, which underscored how high electricity rates have impacted factories across the province.

"Our government is focused on finding workable electricity pricing solutions that will provide the greatest benefit to Ontario," said Greg Rickford, Minister of Energy, Northern Development and Mines. "Reducing regulatory burden on businesses can free up resources that can then be invested in areas such as training, new equipment and job creation."

The government is also in the process of developing further changes to industrial electricity pricing policy, amid planned rate increases announced by the OEB, informed by what was heard during the industrial electricity price consultations.

"It's important that we get this right the first time," said Minister Rickford. "That's why we're taking a thoughtful approach and listening carefully to what businesses in Ontario have to say."

Helping industrial ratepayers is part of the government's balanced and prudent plan to build Ontario together through ensuring our province is open for business and building a more transparent and accountable electricity system.

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Electricity Grid Flow Prediction leverages big data, machine learning, and weather analytics to forecast power flows across smart grids, enhancing reliability, reducing blackouts and curtailment, and optimizing renewable integration under EU Horizon 2020 innovation.

Key Points

Short-term forecasting of power flows using big data, weather inputs, and machine learning to stabilize smart grids.

✅ Uses big data, weather, and ML for 6-hour forecasts

✅ Improves reliability, cuts blackouts and energy waste

✅ Supports smart grids, renewables, and grid balancing

Three European prediction specialists have won prizes worth €2 million for developing the most accurate predictions of electricity flow through a grid

The three winners of the Big Data Technologies Horizon Prize received their awards at a ceremony on 12th November in Austria.

The first prize of €1.2 million went to Professor José Vilar from Spain, while Belgians Sofie Verrewaere and Yann-Aël Le Borgne came in joint second place and won €400,000 each.

The challenge was open to individuals groups and organisations from countries taking part in the EU’s research and innovation programme, Horizon 2020.

Carlos Moedas, Commissioner for Research, Science and Innovation, said: “Energy is one of the crucial sectors that are being transformed by the digital grid worldwide.

“This Prize is a good example of how we support a positive transformation through the EU’s research and innovation programme, Horizon 2020.

“For the future, we have designed our next programme, Horizon Europe, to put even more emphasis on the merger of the physical and digital worlds across sectors such as energy, transport and health.”

The challenge for the applicants was to create AI-driven software that could predict the likely flow of electricity through a grid taking into account a number of factors including the weather and the generation source (i.e. wind turbines, solar cells, etc).

Using a large quantity of data from electricity grids, EU smart meters, combined with additional data such as weather conditions, applicants had to develop software that could predict the flow of energy through the grid over a six-hour period.

Commissioner for Digital Economy and Society Mariya Gabriel said: “The wide range of possible applications of these winning submissions could bring tangible benefits to all European citizens, including efforts to tackle climate change with machine learning across sectors.”

The decision to focus on energy grids for this particular prize was driven by a clear market need, including expanding HVDC technology capabilities.

Today’s energy is produced at millions of interconnected and dispersed unpredictable sites such as wind turbines, solar cells, etc., so it is harder to ensure that electricity supply matches the demand at all times.

This complexity means that huge amounts of data are produced at the energy generation sites, in the grid and at the place where the energy is consumed.

Being able to make accurate, short-term predictions about power grid traffic is therefore vital to reduce the risks of blackouts or, by enabling utilities to use AI for energy savings, limit waste of energy.

Reliable predictions can also be used in fields such as biology and healthcare. The predictions can help to diagnose and cure diseases as well as to allocate resources where they are most needed.

Ultimately, the winning ideas are set to be picked up by the energy sector in the hopes of creating smarter electricity infrastructure, more economic and more reliable power grids.

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US Offshore Wind Lease Sales signal soaring renewable energy growth, drawing oil and gas developers, requiring BOEM auctions, seismic surveying, transmission planning, with $70B investment, 8 GW milestones, and substantial job creation in coastal communities.

Key Points

BOEM-run auctions granting areas for offshore wind, spurring projects, investment, and jobs in federal waters.

✅ $70B investment needed by 2030 to meet current demand

✅ 8 GW early buildout could create 40,000 US jobs

✅ Requires BOEM auctions, seismic surveying, transmission corridors

Recent offshore lease sales demonstrate that not only has offshore wind arrived in the U.S., but it is clearly set to soar, as forecasts point to a $1 trillion global market in the coming decades. The level of participation today, especially from seasoned offshore oil and gas developers, exemplifies that the offshore industry is an advocate for the 'all of the above' energy portfolio.

Offshore wind could generate 160,000 direct, indirect and induced jobs, with 40,000 new U.S. jobs with the first 8 gigawatts of production, while broader forecasts see a quarter-million U.S. wind jobs within four years.

In fact, a recent report from the Special Initiative on Offshore Wind (SIOW), said that offshore wind investment in U.S. waters will require $70 billion by 2030 just based on current demand, and the UK's rapid scale-up offers a relevant benchmark.

Maintaining this tremendous level of interest from offshore wind developers requires a reliable inventory of regularly scheduled offshore wind sales and the ability to develop those resources. Coastal communities and extreme environmental groups opposing seismic surveying and the issuance of incidental harassment authorizations under the Marine Mammal Protection Act may literally take the wind out of these sales. Just as it is for offshore oil and gas development, seismic surveying is vital for offshore wind development, specifically in the siting of wind turbines and transmission corridors.

Unfortunately, a long-term pipeline of wind lease sales does not currently exist. In fact, with the exception of a sale proposed offshore New York offshore wind or potentially California in 2020, there aren't any future lease sales scheduled, leaving nothing upon which developers can plan future investments and prompting questions about when 1 GW will be on the grid nationwide.

NOIA is dedicated to working with the Bureau of Ocean Energy Management and coastal communities, consumers, energy producers and other stakeholders, drawing on U.K. wind lessons where applicable, in working through these challenges to make offshore wind a reality for millions of Americans.

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