Say humbug to an energy-wasting holiday season

Heathrow Airport Power Outage 2025 disrupted operations with mass flight cancellations and diversions after a grid failure, exposing infrastructure resilience gaps, crisis management flaws, and raising passenger compensation and safety oversight concerns.

Key Points

A grid failure closed Heathrow, causing mass cancellations and diversions, exposing resilience and communication lapses.

✅ Grid fire triggered airport-wide shutdown

✅ 1,400+ flights canceled or diverted

✅ Inquiry probes resilience, communication, compensation

On March 21, 2025, Heathrow Airport, Europe's busiest, suffered a catastrophic power outage, similar to another high-profile outage seen at major events, that led to the cancellation and diversion of over 1,400 flights, affecting nearly 300,000 passengers and costing airlines an estimated £100 million. The power failure, triggered by a fire at an electricity substation in west London, left Heathrow with a significant operational crisis. This disruption is even more significant considering that Heathrow is one of the most expensive airports globally, which raises concerns about its infrastructure resilience and broader electricity system resilience across Europe.

In a parliamentary committee meeting, Heathrow officials admitted that vulnerabilities in the airport’s power supply were flagged just days before the outage. Nigel Wicking, Chief Executive of the Heathrow Airline Operators' Committee (HAOC), informed MPs that concerns regarding power resilience had been raised on March 15, following disruptions caused by cable thefts impacting runway lights. Despite these warnings, the airport’s management did not address the vulnerabilities urgently, even as UK net zero policies continue to reshape infrastructure planning, which ultimately led to the disastrous outage.

The airport was closed for a day, with serious consequences for not only airlines but also the surrounding community and businesses. British Airways alone faced millions of pounds in losses, and passengers experienced significant emotional distress, missing vital life events like weddings and funerals due to flight cancellations. The committee is now questioning officials from National Grid and Scottish and Southern Electricity Networks to better understand why Heathrow’s infrastructure failed, in the context of a cleaner grid following the British carbon tax that reduced coal use, how it communicated with affected parties, and what measures will be taken to compensate impacted passengers.

Heathrow’s Chief Executive, Thomas Woldbye, defended the closure decision, stating it would have been disastrous to keep the airport open under such circumstances. He noted that continuing operations would have left tens of thousands of passengers stranded and would have posed safety risks due to the failure of fire surveillance and CCTV systems. However, Wicking, representing the airlines, pointed out that Heathrow’s lack of resilience was unacceptable given the amount spent on the airport, emphasizing the need for better infrastructure, including addressing SF6 in switchgear during upgrades, and more transparent management practices.

Looking forward, the MPs intend to investigate the airport’s emergency preparedness, why the resilience review from 2018 wasn’t shared with airlines, and whether enough preventative measures were in place amid surging data demand that could strain electricity supplies. The outcome of this inquiry could have lasting effects on how Heathrow and other major airports handle their infrastructure and crisis management systems, as drought-driven hydro challenges demonstrate the wider climate stresses on power networks.

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Shenao Power Plant Controversy intensifies as the EPA, Taipower, and New Taipei officials clash over EIA findings, a marine conservation area, fisheries, public health risks, and protests against a coal-fired plant in Rueifang.

Key Points

Dispute over coal plant EIA, marine overlap, and health risks, pitting EPA and Taipower against New Taipei and residents.

✅ EPA approved EIA changes; city cites marine conservation conflict

✅ Rueifang residents protest; 400+ signatures, wardens oppose

✅ Debate centers on fisheries, public health, and coal plant impacts

The controversy over the Shenao Power Plant heated up yesterday as Environmental Protection Administration (EPA) and New Taipei City Government officials quibbled over the project’s potential impact on a fisheries conservation area and other issues, mirroring New Hampshire hydropower clashes seen elsewhere.

State-run Taiwan Power Co (Taipower) wants to build a coal-fired plant on the site of the old Shenao plant, which was near Rueifang District’s (瑞芳) Shenao Harbor.

The company’s original plan to build a new plant on the site passed an environmental impact assessment (EIA) in 2006, similar to how NEPA rules function in the US, and the EPA on March 14 approved the firm’s environmental impact difference analysis report covering proposed changes to the project.

#google#

That decision triggered widespread controversy and protests by local residents, environmental groups and lawmakers, echoing enforcement disputes such as renewable energy pollution cases reported in Maryland.

The controversy reached a new peak after New Taipei City Mayor Eric Chu on Tuesday last week posted on Facebook that construction of wave breakers for the project would overlap with a marine conservation area that was established in November 2014.

The EPA and Taipower chose to ignore the demarcation lines of the conservation area, Chu wrote.

Dozens of residents from Rueifang and other New Taipei City districts yesterday launched a protest at 9am in front of the Legislative Yuan in Taipei, amid debates similar to the Maine power line proposal in the US, where the Health, Environment and Labor Committee was scheduled to review government reports on the project.

More than 400 Rueifang residents have signed a petition against the project, including 17 of the district’s 34 borough wardens, Anti-Shenao Plant Self-Help Group director Chen Chih-chiang said.

Ruifang residents have limited access to information, and many only became aware of the construction project after the EPA’s March 14 decision attracted widespread media coverage, Chen said,

Most residents do not support the project, despite Taipower’s claims to the contrary, Chen said.

New Power Party Executive Chairman Huang Kuo-chang, who represents Rueifang and adjacent districts, said the EPA has shown an “arrogance of power” by neglecting the potential impact on public health and the local ecology of a new coal-fired power plant, even as it moves to revise coal wastewater limits elsewhere.

Huang urged residents in Taipei, Keelung, Taoyaun and Yilan County to reject the project.

If the New Taipei City Government was really concerned about the marine conservation area, it should have spoken up at earlier EIA meetings, rather than criticizing the EIA decision after it was passed, Environmental Protection Administration Deputy Minister Chan Shun-kuei told lawmakers at yesterday’s meeting.

Chan said he wondered if Chu was using the Shenao project for political gain.

However, New Taipei City Environmental Protection Department specialist Sun Chung-wei  told lawmakers that the Fisheries Agency and other experts voiced concerns about the conservation area during the first EIA committee meeting on the proposed changes to the Shenao project on June 15 last year.

Sun was invited to speak to the legislative committee by Chinese Nationalist Party (KMT) Legislator Arthur Chen.

While the New Taipei City Fisheries and Fishing Port Affairs Management Office did not present a “new” opinion during later EIA committee meetings, that did not mean it agreed to the project, Sun said.

However, Chan said that Sun was using a fallacious argument and trying to evade responsibility, as the conservation area had been demarcated by the city government.

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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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Germany Energy Price Hikes are driving electricity tariffs, gas prices, and heating costs higher as wholesale markets surge after the Ukraine invasion; households face inflationary pressure despite relief measures and a renewables levy cut.

Key Points

Germany Energy Price Hikes reflect surging power and gas tariffs from wholesale spikes, prompting relief measures.

✅ Electricity tariffs to rise 19.5% in Apr-Jun

✅ Gas tariffs up 42.3%; heating and fuel costs soar

✅ Renewables levy ends July; saves €6.6 billion yearly

Record prices for electricity and gas in Germany will continue to rise in the coming months, the dpa agency, citing estimates from the consumer portal Verivox.

According to him, electricity suppliers and local utilities, in whose area of ​​responsibility there are 13 million households, made an announcement of tariff increases in April, May and June by 19.5%. Gas tariffs increased by an average of 42.3%.

According to Verivox, electricity prices in Germany have approximately doubled over the year - a pattern seen as European electricity prices rose more than double the EU average - if previously a household with a consumption of 4,000 kWh paid 1,171 euros a year, now the amount has risen to 1,737 euros. Gas prices have risen even more, though European gas prices later returned to pre-Ukraine war levels: last year, a household with a consumption of 20,000 kWh paid 1,184 euros in annual terms, and now it is 2,787 euros. 

Energy costs for the average German household are 52 percent higher than a year ago, adding to EU inflation pressures, according to energy contract sales website Check24. In a press release, the company said the wholesale electricity price was at €122.93 per megawatt-hour in February 2022, compared to €49 this time last year, while in the United States US electricity prices climbed at the fastest pace in 41 years. In addition, electricity prices on the power exchange haven been rising rapidly since Russian troops invaded Ukraine, comparison portal Strom Report said. Costs for heating rose the most, triggered by the high gas price (105 euros per megawatt-hour on the wholesale market) and around 100 USD per barrel of oil – its highest price since 2014. Driving also became more expensive with costs for petrol up 25 percent and diesel 30 percent, Check24 said.

The German government has decided on relief measures for low-income households, including a 200 billion euro energy shield, in response to high consumer energy costs. In July, it will abolish the renewables levy on the power price, saving consumers around €6.6 billion annually. In a reform proposal released this week, the ministry for economy and climate also detailed how it will legally oblige power suppliers to reduce their power bills when the levy is abolished.

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China Solar Grid Parity signals unsubsidized industrial and commercial PV, rooftop solar, and feed-in tariff guarantees competing with grid electricity and coal power prices, driven by cost declines, policy reform, and technology advances.

Key Points

Point where PV in China meets or beats grid electricity, enabling unsubsidized industrial and commercial solar.

✅ City-level analysis shows cheaper PV than grid in 344 cities.

✅ 22% can beat coal power prices without subsidies.

✅ Soft-cost, permitting, and finance reforms speed uptake.

Solar power has become cheaper than grid electricity across China, a development that could boost the prospects of industrial and commercial solar, according to a new study.

Projects in every city analysed by the researchers could be built today without subsidy, at lower prices than those supplied by the grid, and around a fifth could also compete with the nation’s coal electricity prices.

They say grid parity – the “tipping point” at which solar generation costs the same as electricity from the grid – represents a key stage in the expansion of renewable energy sources.

While previous studies of nations such as Germany, where solar-plus-storage costs are already undercutting conventional power, and the US have concluded that solar could achieve grid parity by 2020 in most developed countries, some have suggested China would have to wait decades.

However, the new paper published in Nature Energy concludes a combination of technological advances, cost declines and government support has helped make grid parity a reality in Chinese today.

Despite these results, grid parity may not drive a surge in the uptake of solar, a leading analyst tells Carbon Brief.

Competitive pricing

China’s solar industry has rapidly expanded from a small, rural program in the 1990s to the largest in the world, with record 2016 solar growth underscoring the trend. It is both the biggest generator of solar power and the biggest installer of solar panels.

The installed capacity of solar panels in China in 2018 amounted to more than a third of the global total, with the country accounting for half the world’s solar additions that year.

Since 2000, the Chinese government has unveiled over 100 policies supporting the PV industry, and technological progress has helped make solar power less expensive. This has led to the cost of electricity from solar power dropping, as demonstrated in the chart below.

In their paper, Prof Jinyue Yan of Sweden’s Royal Institute of Technology and his colleagues explain that this “stunning” performance has been accelerated by government subsidies, but has also seen China overinvesting in what some describe as a clean energy's dirty secret of “redundant construction and overcapacity”. The authors write:

“Recently, the Chinese government has been trying to lead the PV industry onto a more sustainable and efficient development track by tightening incentive policies with China’s 531 New Policy.”

The researchers say the subsidy cuts under this policy in 2018 were a signal that the government wanted to make the industry less dependent on state support and shift its focus from scale to quality.

This, they say, has “brought the industry to a crossroads”, with discussions taking place in China about when solar electricity generation could achieve grid parity.

In their analysis, Yan and his team examined the prospects for building industrial and commercial solar projects without state support in 344 cities across China, attempting to gauge where or whether grid parity could be achieved.

The team estimated the total lifetime price of solar energy systems in all of these cities, taking into account net costs and profits, including project investments, electricity output and trading prices.

Besides establishing that installations in every city tested could supply cheaper electricity than the grid, they also compared solar to the price of coal-generated power. They found that 22% of the cities could build solar systems capable of producing electricity at cheaper prices than coal.

Embracing solar

Declining costs of solar technology, particularly crystalline silicon modules, mean the trend in China is also playing out around the world, with offshore wind cost declines reinforcing the shift. In May, the International Renewable Energy Agency (IRENA) said that by the beginning of next year, grid parity could become the global norm for the solar industry, and shifting price dynamics in Northern Europe illustrate the market impact.

Kingsmill Bond, an energy strategist at Carbon Tracker, says this is the first in-depth study he has seen looking at city-level solar costs in China, and is encouraged by this indication of solar becoming ever-more competitive, as seen in Germany's recent solar boost during the energy crisis. He tells Carbon Brief:

“The conclusion that industrial and commercial solar is cheaper than grid electricity means that the workshop of the world can embrace solar. Without subsidy and its distorting impacts, and driven by commercial gain.”

On the other hand, Jenny Chase, head of solar analysis at BloombergNEF, says the findings revealed by Yan and his team are “fairly old news” as the competitive price of rooftop solar in China has been known about for at least a year.

She notes that this does not mean there has been a huge accompanying rollout of industrial and commercial solar, and says this is partly because of the long-term thinking required for investment to be seen as worthwhile.

The lifetime of a PV system tends to be around two decades, whereas the average lifespan of a Chinese company is only around eight years, according to Chase. Furthermore, there is an even simpler explanation, as she explains to Carbon Brief:

“There’s also the fact that companies just can’t be bothered a lot of the time – there are roofs all over Europe where solar could probably save money, but people are not jumping to do it.”

According to Chase, a “much more exciting” development came earlier this year, when the Chinese government developed a policy for “subsidy-free solar”.

This involved guaranteeing the current coal-fired power price to solar plants for 20 years, creating what is essentially a low feed-in tariff and leading to what she describes as “a lot of nice, low-risk projects”.

As for the beneficial effects of grid parity, based on how things have played out in countries where it has already been achieved, Chase says it does not necessarily mean a significant uptake of solar power will follow:

“Grid parity solar is never as popular as subsidised solar, and ironically you don’t generally have a rush to build grid parity solar because you may as well wait until next year and get cheaper solar.”

Policy proposals

In their paper, Yan and his team lay out policy changes they think would help provide an economic incentive, in combination with grid parity, to encourage the uptake of solar power systems.

Technology costs may have fallen for smaller solar projects of the type being deployed on the rooftops of businesses, but they note that the so-called “soft costs” – including installation and maintenance – tend to be “very impactful”.

Specifically, they say aspects such as financing, land acquisition and grid accommodation, which make up over half the total cost, could be cut down:

“Labour costs are not significant [in China] because of the relatively low wages of direct labour and related installation overhead. Customer acquisition has largely been achieved in China by the mature market, with customers’ familiarity with PV systems, and with the perception that PV systems are a reliable technology. However, policymakers should consider strengthening the targeted policies on the following soft costs.”

Among the measures they suggest are new financing schemes, an effort to “streamline” the complicated procedures and taxes involved, and more geographically targeted government policies, alongside innovations like peer-to-peer energy sharing that can improve utilization.

As their analysis showed the price of solar electricity had fallen further in some cities than others, the researchers recommend targeting future subsidies at the cities that are performing less well – keeping costs to a minimum while still providing support when it is most needed.

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SaskPower 10% Electricity Rebate promises one-year bill relief for households, farms, businesses, hospitals, schools, and universities in Saskatchewan, boosting affordability amid COVID-19, offsetting rate hikes, and countering carbon tax impacts under Scott Moe's plan.

Key Points

One-year 10% SaskPower rebate lowering bills for residents, farms, and institutions, funded by general revenue.

✅ Applies automatically to all customers for 12 months from Dec 2020.

✅ Average savings: $215 residential; $845 farm; broad sector coverage.

✅ Cost $261.6M, paid from the general revenue fund; separate from carbon tax.

Saskatchewan Party leader Scott Moe says SaskPower customers can expect a one-year, 10 per cent rebate on electricity if they are elected government.

Moe said the pledge aims to make life more affordable for people, including through lower electricity rates initiatives seen in other provinces. The rate would apply to everyone, including residential customers, farmers, businesses, hospitals, schools and universities.

The plan, which would cost government $261.6 million, expects to save the average residential customer $215 over the course of the year and the average farm customer $845.  

“This is a very equitable way to ensure that we are not only providing that opportunity for those dollars to go back into our economy and foster the economic recovery that we are working towards here, in Saskatchewan, across Canada and around the globe, but it also speaks to the affordability for our Saskatchewan families, reducing the dollars a day off to pay for their for their power bill,” Moe said.

The rebate would be applied automatically to all SaskPower bills for 12 months, starting in December 2020. 

Moe said residential customers who are net metering and generating their own power, such as solar power, would receive a $215 rebate over the 12-month period, which is the equivalent of the average residential rebate.

The $261.6 million in costs would be covered by the government’s general revenue fund.   

The Saskatchewan NDP said the proposed reduction is "a big change in direction from the Sask. Party’s long history of making life more expensive for Saskatchewan families." and recently took aim at a SaskPower rate hike approval as part of that critique.

Trent Wotherspoon, NDP candidate for Regina Rosemont and former finance critic, called the pledge criticized the one year time frame and said Saskatchewan people need long term, reliable affordability, noting that the Ontario-Quebec hydro deal has not reduced hydro bills for consumers. Something, he said, is reflected in the NDP plan.

“We've already brought about announcements that bring about affordability, such as the break on SGI auto insurance that'll happen, year after year after year, affordable childcare which has been already announced and committed to things like a decent minimum wage instead of having the lowest minimum wage in Canada,” Wotherspoon said.

The NDP pointed out SaskPower bills have increased by 57 per cent since 2007 for families with an average household income of $75,000, while Nova Scotia's 14% rate hike was recently approved by its regulator.

It said the average bill for such household was $901 in 2007-08 and is now $1,418 in 2019-20, while in neighbouring provinces Manitoba rate increases of 2.5 per cent annually have also been proposed for three years.

"This is on top of the PST increases that the Sask. Party put on everyday families – costing them more than $700 a year," the NDP said.

Moe took aim at the federal Liberal government’s carbon tax, citing concerns that electricity prices could soar under national policies.

He said if the Saskatchewan government wins its court fight against Ottawa, all SaskPower customers can expect to save an additional $150 million per year, and he questioned the federal 2035 net-zero electricity grid target in that context.

“As it stands right now, the Trudeau government plans to raise the carbon tax from $30 to $40 a tonne on Jan. 1,” Moe said. “Trudeau plans to raise taxes and your SaskPower bill, in the middle of a pandemic.  The Saskatchewan Party will give you a break by cutting your power bill.”

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