Japan Wind looks to triple market share

Carbon Nanotube Solvent Electricity enables wire-free electrochemistry as organic solvents like acetonitrile pull electrons, powering alcohol oxidation and packed bed reactors, energy harvesting, and micro- and nanoscale robots via redox-driven current.

Key Points

Solvent-driven electron extraction from carbon nanotube particles generates current for electrochemistry.

✅ 0.7 V per particle via solvent-induced electron flow

✅ Packed bed reactors drive alcohol oxidation without wires

✅ Scalable for micro- and nanoscale robots; energy harvesting

MIT engineers have discovered a new way of generating electricity, alongside advances in renewable power at night that broaden what's possible, using tiny carbon particles that can create a current simply by interacting with liquid surrounding them.

The liquid, an organic solvent, draws electrons out of the particles, generating a current, unlike devices based on a cheap thermoelectric material that rely on heat, that could be used to drive chemical reactions or to power micro- or nanoscale robots, the researchers say.

"This mechanism is new, and this way of generating energy is completely new," says Michael Strano, the Carbon P. Dubbs Professor of Chemical Engineering at MIT. "This technology is intriguing because all you have to do is flow a solvent through a bed of these particles. This allows you to do electrochemistry, but with no wires."

In a new study describing this phenomenon, the researchers showed that they could use this electric current to drive a reaction known as alcohol oxidation—an organic chemical reaction that is important in the chemical industry.

Strano is the senior author of the paper, which appears today in Nature Communications. The lead authors of the study are MIT graduate student Albert Tianxiang Liu and former MIT researcher Yuichiro Kunai. Other authors include former graduate student Anton Cottrill, postdocs Amir Kaplan and Hyunah Kim, graduate student Ge Zhang, and recent MIT graduates Rafid Mollah and Yannick Eatmon.

Unique properties
The new discovery grew out of Strano's research on carbon nanotubes—hollow tubes made of a lattice of carbon atoms, which have unique electrical properties. In 2010, Strano demonstrated, for the first time, that carbon nanotubes can generate "thermopower waves." When a carbon nanotube is coated with layer of fuel, moving pulses of heat, or thermopower waves, travel along the tube, creating an electrical current that exemplifies turning thermal energy into electricity in nanoscale systems.

That work led Strano and his students to uncover a related feature of carbon nanotubes. They found that when part of a nanotube is coated with a Teflon-like polymer, it creates an asymmetry, distinct from conventional thermoelectric materials approaches, that makes it possible for electrons to flow from the coated to the uncoated part of the tube, generating an electrical current. Those electrons can be drawn out by submerging the particles in a solvent that is hungry for electrons.

To harness this special capability, the researchers created electricity-generating particles by grinding up carbon nanotubes and forming them into a sheet of paper-like material. One side of each sheet was coated with a Teflon-like polymer, and the researchers then cut out small particles, which can be any shape or size. For this study, they made particles that were 250 microns by 250 microns.

When these particles are submerged in an organic solvent such as acetonitrile, the solvent adheres to the uncoated surface of the particles and begins pulling electrons out of them.

"The solvent takes electrons away, and the system tries to equilibrate by moving electrons," Strano says. "There's no sophisticated battery chemistry inside. It's just a particle and you put it into solvent and it starts generating an electric field."

Particle power
The current version of the particles can generate about 0.7 volts of electricity per particle. In this study, the researchers also showed that they can form arrays of hundreds of particles in a small test tube. This "packed bed" reactor, unlike thin-film waste-heat harvesters for electronics, generates enough energy to power a chemical reaction called an alcohol oxidation, in which an alcohol is converted to an aldehyde or a ketone. Usually, this reaction is not performed using electrochemistry because it would require too much external current.

"Because the packed bed reactor is compact, it has more flexibility in terms of applications than a large electrochemical reactor," Zhang says. "The particles can be made very small, and they don't require any external wires in order to drive the electrochemical reaction."

In future work, Strano hopes to use this kind of energy generation to build polymers using only carbon dioxide as a starting material. In a related project, he has already created polymers that can regenerate themselves using carbon dioxide as a building material, in a process powered by solar energy and informed by devices that generate electricity at night as a complement. This work is inspired by carbon fixation, the set of chemical reactions that plants use to build sugars from carbon dioxide, using energy from the sun.

In the longer term, this approach could also be used to power micro- or nanoscale robots. Strano's lab has already begun building robots at that scale, which could one day be used as diagnostic or environmental sensors. The idea of being able to scavenge energy from the environment, including approaches that produce electricity 'out of thin air' in ambient conditions, to power these kinds of robots is appealing, he says.

"It means you don't have to put the energy storage on board," he says. "What we like about this mechanism is that you can take the energy, at least in part, from the environment."

Related News

• Electricity Forum News

• Power Generation News

Daimler Electric Strategy drives EV adoption with global battery factories, Mercedes-Benz electrified models, battery cells procurement, and major investments spanning vans, buses, trucks, and production capacity across Europe, Asia, and the USA.

Key Points

Daimler Electric Strategy is a multi-billion EV roadmap for batteries, factories, and 130 electrified Mercedes models.

✅ Eight battery factories across three continents

✅ EUR 10B for EV lineup; EUR 20B for battery cells

✅ 130 electrified variants plus vans, buses, trucks

Throughout 2018, we all witnessed the unprecedented volume of promises for a better future made by the giants of the auto industry. All say they've committed billions so that, within a decade, combustion engines will be on their way out.

The most active of all companies when talking about promises is Volkswagen, which, amid German plant closures, time and time again has said it will do this or that and completely change the meaning of car in the coming years. But there are other planning the same thing, possibly with even vaster resources.

Planning to end the year on a high note, Daimler detailed its plan for the electric future once again on Tuesday, this time making no secret of its gigantic size and scope.

As announced before, Daimler plans to build electric cars, but also manufacture electric batteries for its own and others’ use, and has launched a US energy storage company to support this strategy. These batteries will eventually be produced by Daimler in eight factories on three continents.

Batteries are already rolling off the lines in Kamenz, and a second facility will begin doing so next year. Two more factories will be built in Stuttgart-Untertürkheim, one at the company’s Sindelfingen site, and one each at the sites in Beijing (China), Bangkok (Thailand) and Tuscaloosa (USA).

In all, one billion EUR will be invested in the expansion of the global battery production network, but that is nothing compared to the 10 billion to be poured into the expansion of the Mercedes-Benz car fleet.

On top of that, 20 billion EUR will go towards the purchase of battery cells from producers all around the world, echoing other automakers' battery sourcing strategies worldwide over the next 12 years.

“After investing billions of euros in the development of the electric fleet and the expansion of our global battery network, we are now taking the next step,” said in a statement Dieter Zetsche, Daimler chairman of the board.

“With the purchase of battery cells for more than 20 billion euros, we are systematically pushing forward with the transformation into the electric future of our company.”

By 2022, the carmaker plans to launch 130 electrified variants of its cars, as cheaper, more powerful batteries become available, adding to them electric vans, buses and trucks. That pretty much means all the models and variants sold by Daimler globally will be at least partially powered by electricity.

Related News

• Electricity Forum News

• EV Infrastructure News

Ontario Electricity Demand 2020 shows a rare decline amid COVID-19, with higher residential peak load, lower commercial usage, hot-weather air conditioning, nuclear baseload constraints, and smart meter data shaping grid operations and forecasting.

Key Points

It refers to 2020 power use in Ontario: overall demand fell, while residential peaks rose and commercial loads dropped.

✅ Peak load shifted to homes; commercial usage declined.

✅ Hot summers raised peaks; overall annual demand still fell.

✅ Smart meters aid forecasting; grid must balance nuclear baseload.

Demand for electricity in Ontario last year fell to levels rarely seen in decades amid shifts in usage patterns caused by pandemic measures, with Ottawa’s electricity consumption dropping notably, new data show.

The decline came despite a hot summer that had people rushing to crank up the air conditioning at home, the province’s power management agency said, even as the government offered electricity relief to families and small businesses.

“We do have this very interesting shift in who’s using the energy,” said Chuck Farmer, senior director of power system planning with the Independent Electricity System Operator.

“Residential users are using more electricity at home than we thought they would and the commercial consumers are using less.”

The onset of the pandemic last March prompted stay-home orders, businesses to close, and a shuttering of live sports, entertainment and dining out. Social distancing and ongoing restrictions, even as the first wave ebbed and some measures eased, nevertheless persisted and kept many people home as summer took hold and morphed into winter, while the province prepared to extend disconnect moratoriums for residential customers.

System operator data show peak electricity demand rose during a hot summer spell to 24,446 megawatts _ the highest since 2013. Overall, however, Ontario electricity demand last year was the second lowest since 1988, the operator said.

In all, Ontario used 132.2 terawatt-hours of power in 2020, a decline of 2.9 per cent from 2019.

With more people at home during the lockdown, winter residential peak demand has climbed 13 per cent above pre-pandemic levels, even as Hydro One made no cut in peak rates for self-isolating customers, while summer peak usage was up 19 per cent.

“The peaks are getting higher than we would normally expect them to be and this was caused by residential customers _ they’re home when you wouldn’t expect them to be home,” Farmer said.

Matching supply and demand _ a key task of the system operator _ is critical to meeting peak usage and ensuring a stable grid, and the operator has contingency plans with some key staff locked down at work sites to maintain operations during COVID-19, because electricity cannot be stored easily. It is also difficult to quickly raise or lower the output from nuclear-powered generators, which account for the bulk of electricity in the province, as demand fluctuates.

READ MORE: Ontario government extends off-peak electricity rates to Feb. 22

Life patterns have long impacted overall usage. For example, demand used to typically climb around 10 p.m. each night as people tuned into national television newscasts. Livestreaming has flattened that bump, while more energy-efficient lighting led to a drop in provincial demand over the holiday season.

The pandemic has now prompted further intra-day shifts in usage. Fewer people are getting up in the morning and powering up at home before powering down and rushing off to work or school. The summer saw more use of air conditioners earlier than normal after-work patterns.

Weather has always been a key driver of demand for power, accounting for example for the record 27,005 megawatts of usage set on a brutally hot Aug. 1, 2006. Similarly, a mild winter and summer led to an overall power usage drop in 2017.

Still, the profound social changes prompted by the COVID-19 pandemic _ and whether some will be permanent _ have complicated demand forecasting.

“Work patterns used to be much more predictable,” the agency said. “The pandemic has now added another element of variability for electricity demand forecasting.”

Some employees sent home to work have returned to their offices and other workplaces, and many others are likely do so once the pandemic recedes. However, some larger companies have indicated that working from home will be long term.

“Companies like Facebook and Shopify have already stated their intention to make work from home a more permanent arrangement,” the operator said. “This is something our near-term forecasters would take into account when preparing for daily operation of the grid.”

Aggregated data from better smart meters, which show power usage throughout the day, is one method of improving forecasting accuracy, the operator said.

Related News

• Electricity Forum News

• Utility Operations News

IAEA Nuclear Security Mission in China reviews regulatory frameworks, physical protection, and compliance at nuclear power plants, endorsing CAEA efforts, IPPAS guidance, and capacity building to strengthen safeguards, risk management, and global cooperation.

Key Points

An IAEA advisory visit assessing China's nuclear security, physical protection, and regulatory frameworks.

✅ Reviews laws, regulations, and physical protection measures

✅ Endorses CAEA, COE, and IPPAS-aligned best practices

✅ Recommends accelerated rulemaking for expanding reactors

The International Atomic Energy Agency commended China's efforts and accomplishments in nuclear security after conducting its first nuclear security advisory mission to the nation, according to the China Atomic Energy Authority.

The two-week International Physical Protection Advisory Service mission, from Aug 28to Saturday, reviewed the legislative and regulatory framework for nuclear security as well as the physical protection of nuclear material and facilities, including worker safety protocols during health emergencies.

An eight-member expert team led by Joseph Sandoval of the United States' Sandia National Laboratories visited Fangjiashan Nuclear Power Plant, part of the Qinshan Nuclear Power Station in Zhejiang province, to examine security arrangements and observe physical protection measures, where recognized safety culture practices can reinforce performance.

The experts also met with officials from several Chinese government bodies involved in nuclear security such as the China Atomic Energy Authority, National Nuclear Safety Administration and Ministry of Public Security.

The international agency has carried out 78 of the protection missions in 48 member states since 1995. This was the first in China, it said.

The China Atomic Energy Authority said on Tuesday that a report by the experts highly approves of the Chinese government's continuous efforts to strengthen nuclear safety, to boost the sustainable development of the nuclear power industry and to help establish a global nuclear security system.

The report identifies the positive roles played by the State Nuclear Security Technology Center and its subsidiary, the Center of Excellence on Nuclear Security, in enhancing China's nuclear security capability and supporting regional and global cooperation in the field, such as bilateral cooperation agreements that advance research and standards, officials at the China Atomic Energy Authority said.

"A strong commitment to nuclear security is a must for any state that uses nuclear power for electricity generation and that is planning to significantly expand this capacity by constructing new power reactors," said Muhammad Khaliq, head of the international agency's nuclear security of materials and facilities section. "China'sexample in applying IAEA nuclear security guidance and using IAEA advisory services demonstrates its strong commitment to nuclear security and its enhancement worldwide."

The report notes that along with the rapid growth of China's nuclear power sector, challenges have emerged when it comes to the country's nuclear security mechanism and management, as highlighted by grid reliability warnings during pandemics in other markets.

It suggests that the Chinese government accelerate the making of laws and regulations to better govern this sector.

Deng Ge, director of the State Nuclear Security Technology Center, said the IAEAmission would help China strengthen its nuclear security since the nation could learn from other countries' successful experience, including on-site staffing measures to maintain critical operations, and find out its weaknesses for rectification.

Deng added that the mission's report can help the international community understand China's contributions to the global nuclear security system and also offer China's best practices to other nations.

Related News

• Electricity Forum News

• Power Generation News

EPA Power Plant Emissions Rule proposes strict greenhouse gas limits for coal and gas units, leveraging carbon capture (CCS) under the Clean Air Act to cut CO2 and accelerate decarbonization of the U.S. grid.

Key Points

A proposed EPA rule setting CO2 limits for coal and gas plants, using CCS to cut power-sector greenhouse gases.

✅ Applies to existing and new coal and large gas units

✅ Targets near-zero CO2 by 2038 via CCS or retirement

✅ Cites grid, health, and climate benefits; faces legal challenges

The Biden administration has proposed new limits on greenhouse gas emissions from coal- and gas-fired power plants, its most ambitious effort yet to roll back planet-warming pollution from the nation’s second-largest contributor to climate change.

A rule announced by the Environmental Protection Agency could force power plants to capture smokestack emissions using a technology that has long been promised but is not used widely in the United States, and arrives amid changes stemming from the NEPA rewrite that affect project reviews.

“This administration is committed to meeting the urgency of the climate crisis and taking the necessary actions required,″ said EPA Administrator Michael Regan.

The plan would not only “improve air quality nationwide, but it will bring substantial health benefits to communities all across the country, especially our front-line communities ... that have unjustly borne the burden of pollution for decades,” Regan said in a speech at the University of Maryland.

President Joe Biden, whose climate agenda includes a clean electricity standard as a key pillar, called the plan “a major step forward in the climate crisis and protecting public health.”

If finalized, the proposed regulation would mark the first time the federal government has restricted carbon dioxide emissions from existing power plants, following a Trump-era replacement of Obama’s power plant overhaul, which generate about 25% of U.S. greenhouse gas pollution, second only to the transportation sector. The rule also would apply to future electric plants and would avoid up to 617 million metric tons of carbon dioxide through 2042, equivalent to annual emissions of 137 million passenger vehicles, the EPA said.

Almost all coal plants — along with large, frequently used gas-fired plants — would have to cut or capture nearly all their carbon dioxide emissions by 2038, the EPA said, a timeline that echoed concerns raised during proposed electricity pricing changes in the prior administration. Plants that cannot meet the new standards would be forced to retire.

The plan is likely to be challenged by industry groups and Republican-leaning states, much like litigation over the Affordable Clean Energy rule unfolded in recent years. They have accused the Democratic administration of overreach on environmental regulations and warn of a pending reliability crisis for the electric grid. The power plant rule is one of at least a half-dozen EPA rules limiting power plant emissions and wastewater treatment rules.

“It’s truly an onslaught” of government regulation “designed to shut down the coal fleet prematurely,″ said Rich Nolan, president and CEO of the National Mining Association.

Regan denied that the power plant rule was aimed at shutting down the coal sector, but acknowledged — even after the end to the 'war on coal' rhetoric — “We will see some coal retirements.”

Related News

• Electricity Forum News

• Energy Policy News

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.

Related News

• Electricity Forum News

• Grid Technologies News