Midwest governors see clean energy cooperation need

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."

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Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

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SDG&E Ramona Microgrid delivers renewable energy and battery storage for wildfire mitigation, grid resilience, and PSPS support, powering the Cal Fire Air Attack Base with a 500 kW, 2,000 kWh lithium-ion system during outages.

Key Points

A renewable, battery-backed microgrid powering Ramona's Air Attack Base, boosting wildfire response and PSPS resilience.

✅ 500 kW, 2,000 kWh lithium-ion storage replaces diesel

✅ Keeps Cal Fire and USFS aircraft operations powered

✅ Supports PSPS continuity and rural water reliability

It figures to be another dry year — with the potential to spark wildfires in the region. But San Diego Gas & Electric just completed a renewable energy upgrade to a microgrid in Ramona that will help firefighters and reduce the effects of power shutoffs to backcountry residents.

The microgrid will provide backup power to the Ramona Air Attack Base, helping keep the lights on during outages, home to Cal Fire and the U.S. Forest Service's fleet of aircrafts that can quickly douse fires before they get out of hand.

"It gives us peace of mind to have backup power for a critical facility like the Ramona Air Attack Base, especially given the fact that fire season in California has become year-round," Cal Fire/San Diego County Fire Chief Tony Mecham said in a statement.

The air attack base serves as a hub for fixed-wing aircraft assigned to put out fires. Cal Fire staffs the base throughout the year with one two airtankers and one tactical aircraft. The base also houses the Forest Service's Bell 205 A++ helicopter and crew to protect the Cleveland National Forest. Aircraft for both CalFire and the Forest Service can also be mobilized to help fight fires throughout the state.

This summer, the Ramona microgrid won't have to rely on diesel generation. Instead, the facility next to the town's airport will be powered by a 500 kilowatt and 2,000 kilowatt-hour lithium-ion battery storage system that won't generate any greenhouse gas emissions.

"What's great about it, besides that it's a renewable resource, is that it's a permanent installation," said Jonathan Woldemariam, SDG&E's director of wildfire mitigation and vegetation management. "In other words, we don't have to roll a portable generator out there. It's something that can be leveraged right there because it's already installed and ready to go."

Microgrids have taken on a larger profile across the state because they can operate independently of the larger electric grid, where repairing California's grid is an ongoing challenge, thus allowing small areas or communities to keep the power flowing for hours at a time during emergencies.

That can be crucial in wildfire-prone areas affected by Public Safety Power Shutoffs, or PSPS, the practice in which investor-owned utilities in California de-energize electrical power lines in a defined area when conditions are dry and windy in order to reduce the risk of a power line falling and igniting a wildfire, while power grid upgrades move forward statewide.

Rural and backcountry communities are particularly hard hit when the power is pre-emptively cut off because many homes rely on water from wells powered by electricity for their homes, horses and livestock.

In addition to Ramona, SDG&E has established microgrids in three other areas in High Fire Threat Districts:

The microgrids in Butterfield Ranch and Shelter Valley run on diesel power but the utility plans to complete solar and battery storage systems for each locale by the end of next year, as other regions develop new microgrid rules to guide deployment.

SDG&E has a fifth microgrid in operation — in Borrego Springs, which in 2013 became the first utility-scale microgrid in the country. It provides grid resiliency to the roughly 2,700 residents of the desert town and serves as a model for integrated microgrid projects elsewhere in delivering local electricity. While the Borrego Springs microgrid is not located in a High Fire Threat District, "when and if any power is turned off, especially the power transmission feed that goes to Borrego, we can support the customers using the microgrid out there," Woldemariam said.

Microgrid costs can be higher than conventional energy systems, even as projected energy storage revenue grows over the next decade, and the costs of the SDG&E projects are passed on to ratepayers. As per California Public Utilities Commission rules, the financial details for each of microgrid are kept confidential for at least three years.

SDG&E's microgrids are part of the utility's larger plan to reduce wildfire risk that SDG&E files with the utilities commission. In its wildfire plan for 2020 through 2022, SDG&E expected to spend $1.89 billion on mitigation measures.

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Texas After-Labor Day School Start could ease ERCOT's power grid strain by shifting peak demand, lowering air-conditioning loads in schools, improving grid reliability, reducing electricity costs, and curbing emissions during extreme heat the summer months.

Key Points

A proposed calendar shift to start school after Labor Day to lower ERCOT peak demand, costs, and grid risk.

✅ Cuts school HVAC loads during peak summer heat

✅ Lowers costly peaker plant use and electricity rates

✅ Requires calendar changes, testing and activities shifts

As Texas faces increasing demands on its power grid, a new proposal is gaining traction: starting the school year after Labor Day. This idea, reported by the Dallas News, suggests that delaying the start of the academic year could help alleviate some of the pressure on the state’s electricity grid during the peak summer months, potentially leading to both grid stability and financial savings. Here’s an in-depth look at how this proposed change could impact Texas’s energy landscape and education system.

The Context of Power Grid Strain

Texas's power grid, operated by the Electric Reliability Council of Texas (ERCOT), has faced significant challenges in recent years. Extreme weather events, record-breaking temperatures, and high energy demand have strained the grid, and some analyses argue that climate change, not demand is the biggest challenge today, leading to concerns about reliability and stability. The summer months are particularly taxing, as the demand for air conditioning surges, often pushing the grid to its limits.

In this context, the idea of adjusting the school calendar to start after Labor Day has been proposed as a potential strategy to help manage electricity demand. By delaying the start of school, proponents argue that it could reduce the load on the power grid during peak usage periods, thereby easing some of the stress on energy resources.

Potential Benefits for the Power Grid

The concept of delaying the school year is rooted in the potential benefits for the power grid. During the hottest months of summer, the demand for electricity often spikes as families use air conditioning to stay cool, and utilities warn to prepare for blackouts as summer takes hold. School buildings, typically large and energy-intensive facilities, contribute significantly to this demand when they are in operation.

Starting school later could help reduce this peak demand, as schools would be closed during the hottest months when the grid is under the most pressure. This reduction in demand could help prevent grid overloads and reduce the risk of power outages, at a time when longer, more frequent outages are afflicting the U.S. power grid, ultimately contributing to a more stable and reliable electricity supply.

Additionally, a decrease in peak demand could help lower electricity costs. Power plants, particularly those that are less efficient and more expensive to operate, are often brought online during periods of high demand. By reducing the peak load, the state could potentially minimize the need for these costly power sources, leading to lower overall energy costs.

Financial and Environmental Considerations

The financial implications of starting school after Labor Day extend beyond just the power grid. By reducing energy consumption during peak periods, the state could see significant savings on electricity costs. This, in turn, could lead to lower utility bills for schools, businesses, and residents alike, a meaningful relief as millions risk electricity shut-offs during summer heat.

Moreover, reducing the demand for electricity from fossil fuel sources can have positive environmental impacts. Lower peak demand may reduce the reliance on less environmentally friendly energy sources, and aligns with calls to invest in a smarter electricity infrastructure nationwide, thereby decreasing greenhouse gas emissions and contributing to overall environmental sustainability.

Challenges and Trade-offs

While the proposal offers potential benefits, it also comes with challenges and trade-offs. Adjusting the school calendar would require significant changes to the academic schedule, potentially affecting extracurricular activities, summer programs, and family plans, and comparisons to California's reliability challenges underscore the complexity. Additionally, there could be resistance from various stakeholders, including parents, educators, and students, who are accustomed to the current school calendar.

There are also logistical considerations to address, such as how a delayed start might impact standardized testing schedules and the academic calendar for higher education institutions. These factors would need to be carefully evaluated to ensure that the proposed changes do not adversely affect educational outcomes or create unintended consequences.

Looking Ahead

The idea of starting Texas schools after Labor Day represents an innovative approach to addressing the challenges facing the state’s power grid. By potentially reducing peak demand and lowering energy costs, and alongside efforts to connect Texas's grid to the rest of the nation, this proposal could contribute to greater grid stability and financial savings. However, careful consideration and planning will be essential to navigate the complexities of altering the school calendar and to ensure that the benefits outweigh the challenges.

As Texas continues to explore solutions for managing its power grid and energy resources, the proposal to shift the school year schedule provides an intriguing possibility. It reflects a broader trend of seeking creative and multifaceted approaches to balancing energy demand, environmental sustainability, and public needs.

In conclusion, starting schools after Labor Day could offer tangible benefits for Texas’s power grid and financial well-being. As discussions on this proposal advance, it will be important to weigh all factors and engage stakeholders to ensure a successful and equitable implementation.

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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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Taiwan Power Blackout disrupts Taipei and commercial hubs after a Taoyuan natural gas plant error, triggering nationwide outage, grid failure, elevator rescues, power rationing, and the economic minister's resignation, as CPC Corporation restores supply.

Key Points

A nationwide Taiwan outage from human error at a Taoyuan gas plant, triggering rationing and a minister's resignation.

✅ Human error disrupted natural gas supply at Taoyuan plant

✅ 6.68 million users affected; grid failure across cities

✅ Minister Lee resigned; President Tsai ordered a review

Taiwan's economic minister resigned after power was knocked out in many parts of Taiwan, with regional parallels such as China power cuts highlighting grid vulnerabilities, including capital Taipei's business and high-end shopping district, due to an apparent "human error" at a key power plant.

Economic Affairs minister Lee Chih-kung tendered his resignation verbally to Premier Lin Chuan, United Daily News reported, citing a Cabinet spokesman. Lin accepted the resignation, the spokesman said according to the daily.

As many as 6.68 million households and commercial units saw their power supply cut or disrupted on Tuesday after "human error" disrupted natural gas supply at a power plant in northern Taiwan's Taoyuan, the semi-official Central News Agency reported, citing the government-controlled oil company CPC Corporation as saying.

The company added that power at the plant, Taiwan's biggest natural gas power plant, resumed two minutes later.

In New Taipei City, there were at least 27,000 reported cases of people being stuck in lifts. Photos in social media also showed huge crowds stranded in lift lobby in Taipei's iconic 101-storey Taipei 101 building.

Power rationing was implemented beginning 6pm, and, as seen in the National Grid short supply warning in other markets, such steps aim to stabilize supply, Central News Agency said. Power supply was gradually being restored beginning at about 9:40pm. news reports said.

President Tsai Ing-wen apologised for the blackout, noting parallels with Japan's near-blackouts that underscored grid resilience, and said that she has ordered all relevant departments to produce clear report in the shortest time possible.

"Electricity is not just a problem about people's livelihoods but also a national security issue. A comprehensive review must be carried out to find out how the electric power system can be so easily paralysed by human error," said Ms Tsai in a Facebook post.

Taiwan has been at risk of a power shortage after a recent typhoon knocked down a power transmission tower in Hualien county along the eastern coast of Taiwan, rather than a demand-driven slowdown like the China power demand drop during pandemic factory shutdowns. This reduced the electricity supply by 1.3million kilowatts, or about 4 per cent of the operating reserve.

That was followed by the breakdown of a power generator at Taiwan's largest power plant, which further reduced the operating reserve by 1.5 per cent.

The situation is worsened by the ongoing heatwave that has hit Taiwan, with temperatures soaring to 38 degrees Celsius over the past week.

As a result, the government had imposed the rationing of electricity, and, highlighting how regional strains such as China's power woes can ripple into global markets, switched off all air-conditioning in many of its Taipei offices, a move that drew some public backlash.

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