Rhode Island power bills drop 16.5 per cent

CPEC Power Producers drive China-Pakistan energy cooperation under the Belt and Road Initiative, delivering clean, reliable electricity, investment transparency, and grid stability while countering allegations, cutting circular debt, and easing load-shedding nationwide.

Key Points

CPEC Power Producers are BRI-backed energy projects supplying clean, reliable power and stabilizing Pakistan's grid.

✅ Supply one-third of load during COVID-19 peak, ensuring reliability

✅ Reduce circular debt and mitigate nationwide load-shedding

✅ Operate under BRI with transparent, long-term investment

Chinese government has rejected the allegations against the CPEC Power Producers (CPPs) amid broader coal reduction goals in the power sector.

Chinese government has made it clear that a mammoth cooperation with Pakistan in the energy sector is continuing, aligned with its broader electricity outlook through 2060 and beyond.

A letter written by Chinese ambassador to minister of Energy Omar Ayub Khan has said that major headway has been seen in recent days in the perspective of CPEC projects, alongside China's nuclear energy development at home. But he wants to invite the attention of government of Pakistan to the recent allegations leveled against the CPEC Power Producers (CPPs).

The Chinese ambassador further said Energy is a major area of cooperation under the CPEC and the CPPs have provided large amount of clean, reliable and affordable electricity to the Pakistani consumers and have guaranteed one-third of the power load during the COVID-19 pandemic, even as China grappled with periodic power cuts domestically. However many misinformed analysis and media distortion about the CPPs have been made public to create confusion about the CPEC, amid global solar sector uncertainty influencing narratives. Therefore, the Port Qasim Electric Power Company, Huaneng Shandong Ruyi Energy Limited and the China Power Hub Generation Company Limited as leading CPPs have drafted their own reports in this regard to present the real facts about the investors and operators. The conclusion is the CPPs have contributed to overcoming of loadshedding and the reduction of the power circular debt.

Reports of the two companies have also been attached with the letter wherein it has been laid out that CPEC as a pilot project under the Belt and Road Initiative, which also includes regional nuclear energy cooperation efforts, is an important platform for China and Pakistan to build a stronger economic and development partnership.

Chinese companies have expressed strong reservations over report of different committees besides voicing protest over it. They have made it clear they are ready to present the real situation before the competent authorities and committee, and in parallel with electricity infrastructure initiatives abroad, because all the work is being carried out by Chinese companies in power sector in fair and transparent manner.

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New England oil-fired generation surges as ISO New England manages a cold snap, dual-fuel switching, and a natural gas price spike, highlighting winter reliability challenges, LNG and pipeline limits, and rising CO2 emissions.

Key Points

Reliance on oil-burning power plants during winter demand spikes when natural gas is costly or constrained.

✅ Driven by dual-fuel switching amid high natural gas prices

✅ ISO-NE winter reliability rules encourage oil stockpiles

✅ Raises CO2 emissions despite coal retirements and renewables growth

New England is relying on oil-fired generators for the most electricity since 2018 as a frigid blast boosts demand for power and natural gas prices soar across markets. 

Oil generators were producing more than 4,200 megawatts early Thursday, accounting for about a quarter of the grid’s power supply, according to ISO New England. That was the most since Jan. 6, 2018, when oil plants produced as much as 6.4 gigawatts, or 32% of the grid’s output, said Wood Mackenzie analyst Margaret Cashman.  

Oil is typically used only when demand spikes, because of higher costs and emissions concerns. Consumption has been consistently high over the past three weeks as some generators switch from gas, which has surged in price in recent months. New England generators are producing power from oil at an average rate of almost 1.8 gigawatts so far this month, the highest for January in at least five years. 

Oil’s share declined to 16% Friday morning ahead of an expected snowstorm, which was “a surprise,” Cashman said. 

“It makes me wonder if some of those generators are aiming to reserve their fuel for this weekend,” she said.

During the recent cold snap, more than a tenth of the electricity generated in New England has been produced by power plants that haven’t happened for at least 15 years.

Burning oil for electricity was standard practice throughout the region for decades. It was once our most common fuel for power and as recently as 2000, fully 19% of the six-state region’s electricity came from burning oil, according to ISO-New England, more than any other source except nuclear power at the time.

Since then, however, natural gas has gotten so cheap that most oil-fired plants have been shut or converted to burn gas, to the point that just 1% of New England’s electricity came from oil in 2018, whereas about half our power came from natural gas generation regionally during that period. This is good because natural gas produces less pollution, both particulates and greenhouse gasses, although exactly how much less is a matter of debate.

But as you probably know, there’s a problem: Natural gas is also used for heating, which gets first dibs. Prolonged cold snaps require so much gas to keep us warm, a challenge echoed in Ontario’s electricity system as supply tightens, that there might not be enough for power plants – at least, not at prices they’re willing to pay.

After we came close to rolling brownouts during the polar vortex in the 2017-18 winter because gas-fired power plants cut back so much, ISO-NE, which has oversight of the power grid, established “winter reliability” rules. The most important change was to pay power plants to become dual-fuel, meaning they can switch quickly between natural gas and oil, and to stockpile oil for winter cold snaps.

We’re seeing that practice in action right now, as many dual-fuel plants have switched away from gas to oil, just as was intended.

That switch is part of the reason EPA says the region’s carbon emissions have gone up in the pandemic, from 22 million tons of CO2 in 2019 to 24 million tons in 2021. That reverses a long trend caused partly by closing of coal plants and partly by growing solar and offshore wind capacity: New England power generation produced 36 million tons of CO2 a decade ago.

So if we admit that a return to oil burning is bad, and it is, what can we do in future winters? There are many possibilities, including tapping more clean imports such as Canadian hydropower to diversify supply.

The most obvious solution is to import more natural gas, especially from fracked fields in New York state and Pennsylvania. But efforts to build pipelines to do that have been shot down a couple of times and seem unlikely to go forward and importing more gas via ocean tanker in the form of liquefied natural gas (LNG) is also an option, but hits limits in terms of port facilities.

Aside from NIMBY concerns, the problem with building pipelines or ports to import more gas is that pipelines and ports are very expensive. Once they’re built they create a financial incentive to keep using natural gas for decades to justify the expense, similar to moves such as Ontario’s new gas plants that lock in generation. That makes it much harder for New England to decarbonize and potentially leaves ratepayers on the hook for a boatload of stranded costs.

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Quinone-mediated fuel cell uses a bio-inspired organic shuttle to carry electrons and protons to a nearby cobalt catalyst, improving hydrogen conversion, cutting platinum dependence, and raising efficiency while lowering costs for clean electricity.

Key Points

An affordable, bio-inspired fuel cell using an organic quinone shuttle and cobalt catalyst to move electrons efficiently

✅ Organic quinone shuttles electrons to a separate cobalt catalyst

✅ Reduces platinum use, lowering cost of hydrogen power

✅ Bio-inspired design aims to boost efficiency and durability

Fuel cells have long been viewed as a promising power source. But most fuel cells are too expensive, inefficient, or both. In a new approach, inspired by biology, a team has designed a fuel cell using cheaper materials and an organic compound that shuttles electrons and protons.

Fuel cells have long been viewed as a promising power source. These devices, invented in the 1830s, generate electricity directly from chemicals, such as hydrogen and oxygen, and produce only water vapor as emissions. But most fuel cells are too expensive, inefficient, or both.

In a new approach, inspired by biology and published today (Oct. 3, 2018) in the journal Joule, a University of Wisconsin-Madison team has designed a fuel cell using cheaper materials and an organic compound that shuttles electrons and protons.

In a traditional fuel cell, the electrons and protons from hydrogen are transported from one electrode to another, where they combine with oxygen to produce water. This process converts chemical energy into electricity. To generate a meaningful amount of charge in a short enough amount of time, a catalyst is needed to accelerate the reactions.

Right now, the best catalyst on the market is platinum -- but it comes with a high price tag, and while advances like low-cost heat-to-electric materials show promise, they address different conversion pathways. This makes fuel cells expensive and is one reason why there are only a few thousand vehicles running on hydrogen fuel currently on U.S. roads.

Shannon Stahl, the UW-Madison professor of chemistry who led the study in collaboration with Thatcher Root, a professor of chemical and biological engineering, says less expensive metals can be used as catalysts in current fuel cells, but only if used in large quantities. "The problem is, when you attach too much of a catalyst to an electrode, the material becomes less effective," he says, "leading to a loss of energy efficiency."

The team's solution was to pack a lower-cost metal, cobalt, into a reactor nearby, where the larger quantity of material doesn't interfere with its performance. The team then devised a strategy to shuttle electrons and protons back and forth from this reactor to the fuel cell.

The right vehicle for this transport proved to be an organic compound, called a quinone, that can carry two electrons and protons at a time. In the team's design, a quinone picks up these particles at the fuel cell electrode, transports them to the nearby reactor filled with an inexpensive cobalt catalyst, and then returns to the fuel cell to pick up more "passengers."

Many quinones degrade into a tar-like substance after only a few round trips. Stahl's lab, however, designed an ultra-stable quinone derivative. By modifying its structure, the team drastically slowed down the deterioration of the quinone. In fact, the compounds they assembled last up to 5,000 hours -- a more than 100-fold increase in lifetime compared to previous quinone structures.

"While it isn't the final solution, our concept introduces a new approach to address the problems in this field," says Stahl. He notes that the energy output of his new design produces about 20 percent of what is possible in hydrogen fuel cells currently on the market. On the other hand, the system is about 100 times more effective than biofuel cells that use related organic shuttles.

The next step for Stahl and his team is to bump up the performance of the quinone mediators, allowing them to shuttle electrons more effectively and produce more power. This advance would allow their design to match the performance of conventional fuel cells, but with a lower price tag.

"The ultimate goal for this project is to give industry carbon-free options for creating electricity, including thermoelectric materials that harvest waste heat," says Colin Anson, a postdoctoral researcher in the Stahl lab and publication co-author. "The objective is to find out what industry needs and create a fuel cell that fills that hole."

This step in the development of a cheaper alternative could eventually be a boon for companies like Amazon and Home Depot that already use hydrogen fuel cells to drive forklifts in their warehouses.

"In spite of major obstacles, the hydrogen economy, with efforts such as storing electricity in pipelines in Europe, seems to be growing," adds Stahl, "one step at a time."

Financial support for this project was provided by the Center for Molecular Electrocatalysis, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, and by the Wisconsin Alumni Research Foundation (WARF) through the WARF Accelerator Program.

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UK Energy Networks Coronavirus Contingency outlines ESO's lockdown electricity demand forecast, reduced industrial and commercial load, rising domestic use, Ofgem guidance needs, grid resilience, control rooms, mutual aid, and backup centers.

Key Points

A coordinated plan with ESO forecasts, safeguards, and mutual aid to keep power and gas services during a lockdown.

✅ ESO forecasts lower industrial use, higher domestic demand

✅ Control rooms protected; backup sites and cross-trained staff

✅ Mutual aid and Ofgem coordination bolster grid resilience

National Grid ESO is predicting a reduction in electricity demand, consistent with residential use trends observed during the pandemic, in the case of the coronavirus spread prompting a lockdown across the country.

Its analysis shows the reduction in commercial and industrial use would outweigh an upsurge in domestic demand, mirroring Ontario demand data seen as people stayed home, according to similar analyses.

The prediction was included in an update from the Energy Networks Association (ENA), in which it sought to reassure the public that contingency plans are in place, reflecting utility disaster planning across electric and gas networks, to ensure services are unaffected by the coronavirus spread.

The body, which represents the UK's electricity and gas network companies, said "robust measures" had been put in place to protect control rooms and contact centres, similar to staff lockdown protocols considered by other system operators, to maintain resilience. To provide additional resilience, engineers have been trained across multiple disciplines and backup centres exist should operations need to be moved if, for example, deep cleaning is required, the ENA said.

Networks also have industry-wide mutual aid arrangements, similar to grid response measures outlined in the U.S., for people and the equipment needed to keep gas and electricity flowing.

ENA chief executive, David Smith, said, echoing system reliability assurances from other markets: "The UK's electricity and gas network is one of the most reliable in the world and network operators are working with the authorities to ensure that their contingency plans are reviewed and delivered in accordance with the latest expert advice. We are following this advice closely and reassuring customers that energy networks are continuing to operate as normal for the public."

Utility Week spoke to a senior figure at one of the networks who reiterated the robust measures in place to keep the lights on, even as grid alerts elsewhere highlight the importance of contingency planning. However, they pleaded for more clarity from Ofgem and government on how its workers will be treated if the coronavirus spread becomes a pandemic in the UK.

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Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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U.S. Tariffs on Chinese EVs and Solar Cells target trade imbalances, subsidies, and intellectual property risks, bolstering domestic manufacturing, supply chains, and national security across clean energy, automotive technology, and renewable markets.

Key Points

Policy measures raising duties on Chinese EVs and solar cells to protect U.S. industry, IP, and national security.

✅ Raises duties to counter subsidies and IP risks

✅ Supports domestic EV and solar manufacturing jobs

✅ May reshape supply chains, prices, and trade flows

In a significant move aimed at bolstering domestic industries and addressing trade imbalances, the Biden administration has announced higher tariffs on Chinese-made electric cars and solar cells. This decision marks a strategic shift in U.S. trade policy, with market observers noting EV tariffs alongside industrial and financial implications across sectors today.

Tariffs on Electric Cars

The imposition of tariffs on Chinese electric cars comes amidst growing competition in the global electric vehicle (EV) market. U.S. automakers and policymakers have raised concerns about unfair trade practices, subsidies, and market access barriers faced by American EV manufacturers in China amid escalating trade tensions with key partners. The tariffs aim to level the playing field and protect U.S. interests in the burgeoning electric vehicle sector.

Impact on Solar Cells

Similarly, higher tariffs on Chinese solar cells address concerns regarding intellectual property theft, subsidies, and market distortions in the solar energy industry, where tariff threats have influenced investment signals across North American markets.

The U.S. solar sector, a key player in renewable energy development, has called for measures to safeguard fair competition and promote domestic manufacturing of solar technologies.

Economic and Political Implications

The tariff hikes underscore broader economic tensions between the United States and China, spanning trade, technology, and geopolitical issues. While aimed at protecting American industries, these tariffs could lead to retaliatory measures from China and impact global supply chains, particularly in renewable energy and automotive sectors, as North American electricity exports at risk add to uncertainty across markets.

Industry and Market Responses

Industry stakeholders have responded with mixed reactions to the tariff announcements. U.S. automakers and solar manufacturers supportive of the tariffs argue they will help level the playing field and encourage domestic production. However, critics warn of potential energy price spikes for consumers, supply chain disruptions, and unintended consequences for global clean energy goals.

Strategic Considerations

The Biden administration's tariff policy reflects a broader strategy to promote economic resilience, innovation, and national security in critical industries, even as cross-border electricity exports become flashpoints in trade policy debates today.

Efforts to strengthen domestic supply chains, invest in renewable energy infrastructure, and foster international partnerships remain central to U.S. economic competitiveness and climate objectives.

Future Outlook

Looking ahead, navigating U.S.-China trade relations will continue to be a complex challenge for policymakers. Balancing economic interests, diplomatic engagements, and environmental priorities, alongside regional public support for tariffs, will shape future trade policy decisions affecting electric vehicles, renewable energy, and technology sectors globally.

Conclusion

The Biden administration's decision to impose higher tariffs on Chinese electric cars and solar cells represents a strategic response to economic and geopolitical dynamics reshaping global markets. While aimed at protecting American industries and promoting fair trade practices, the tariffs signal a commitment to fostering competitiveness, innovation, and sustainability in critical sectors of the economy. As these measures unfold, stakeholders will monitor their impact on industry dynamics, supply chain resilience, and international trade relations in the evolving landscape of global commerce.

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