Infrastructure needs $15 billion annually: study

Nighttime thermoradiative power converts outgoing infrared radiation into electricity using semiconductor photodiodes, leveraging negative illumination and sky cooling to harvest renewable energy from Earth-to-space heat flow when solar panels rest, regardless of weather.

Key Points

Nighttime thermoradiative power converts Earth's outgoing infrared heat into electricity using semiconductor diodes.

✅ Uses negative illumination to tap Earth-to-space heat flow

✅ Infrared semiconductor photodiodes generate small nighttime current

✅ Theoretical output ~4 W/m^2; lab demo reached 64 nW/m^2

There's a stark contrast between the freezing temperatures of space and the relatively balmy atmosphere of Earth, and that contrast could help generate electricity, scientists say – and alongside concepts such as space-based solar power, utilizing the same optoelectronic physics used in solar panels. The obvious difference this would have compared with solar energy is that it would work during the night time, a potential source of renewable power that could keep on going round the clock and regardless of weather conditions.

Solar panels are basically large-scale photodiodes - devices made out of a semiconducting material that converts the photons (light particles) coming from the Sun into electricity by exciting electrons in a material such as silicon, while concepts like space solar beaming could complement them during adverse weather.

In this experiment, the photodiodes work 'backwards': as photons in the form of infrared radiation - also known as heat radiation - leave the system, a small amount of energy is produced, similar to how raindrop electricity harvesting taps ambient fluxes in other experiments.

This way, the experimental system takes advantage of what researchers call the "negative illumination effect" – that is, the flow of outgoing radiation as heat escapes from Earth back into space. The setup explained in the new study uses an infrared semiconductor facing into the sky to convert this flow into electrical current.

"The vastness of the Universe is a thermodynamic resource," says one of the researchers, Shanhui Fan from Stanford University in California.

"In terms of optoelectronic physics, there is really this very beautiful symmetry between harvesting incoming radiation and harvesting outgoing radiation."

It's an interesting follow-up to a research project Fan participated in last year: a solar panel that can capture sunlight while also allowing excess heat in the form of infrared radiation to escape into space.

In the new study, this "energy harvesting from the sky" process can produce a measurable amount of electricity, the researchers have shown – though for the time being it's a long way from being efficient enough to contribute to our power grids, but advances in peer-to-peer energy sharing could still make niche deployments valuable.

In the team's experiments they were able to produce 64 nanowatts per square metre (10.8 square feet) of power – only a trickle, but an amazing proof of concept nevertheless. In theory, the right materials and conditions could produce a million times more than that, and analyses of cheap abundant electricity show how rapidly such advances compound, reaching about 4 watts per square metre.

"The amount of power that we can generate with this experiment, at the moment, is far below what the theoretical limit is," says one of the team, Masashi Ono from Stanford.

When you consider today's solar panels are able to generate up to 100-200 watts per square metre, and in China solar is cheaper than grid power across every city, this is obviously a long way behind. Even in its earliest form, though, it could be helpful for keeping low-power devices and machines running at night: not every renewable energy device needs to power up a city.

Now that the researchers have proved this can work, the challenge is to improve the performance of the experimental device. If it continues to show promise, the same idea could be applied to capture energy from waste heat given off by machinery, and results in humidity-powered generation suggest ambient sources are plentiful.

"Such a demonstration of direct power generation of a diode facing the sky has not been previously reported," explain the researchers in their published paper.

"Our results point to a pathway for energy harvesting during the night time directly using the coldness of outer space."

The research has been published in Applied Physics Letters.

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Texas Blackout Liability Ruling clarifies appellate court findings in Houston, citing deregulated energy markets, ERCOT immunity, wholesale generators, retail providers, and 2021 winter storm lawsuits over grid failures and wrongful deaths.

Key Points

Houston judges held wholesale generators owe no duty to retail customers, limiting liability for 2021 blackout lawsuits.

✅ Court cites deregulated market and lack of privity to consumers

✅ Ruling shields generators from 2021 winter storm civil suits

✅ Plaintiffs plan appeals; legislature may address liability

Nearly three years after the devastating Texas blackout of 2021, a panel of judges from the First Court of Appeals in Houston has determined that major power companies cannot be held accountable for their failure to deliver electricity during the power grid crisis that unfolded, citing Texas' deregulated energy market as the reason.

This ruling appears likely to shield these companies from lawsuits that were filed against them in the aftermath of the blackout, leaving the families of those affected uncertain about where to seek justice.

In February 2021, a severe cold front swept over Texas, bringing extended periods of ice and snow. The extreme weather conditions increased energy demand while simultaneously reducing supply by causing power generators and the state's natural gas supply chain to freeze. This led to a blackout that left millions of Texans without power and water for nearly a week.

The state officially reported that almost 250 people lost their lives during the winter storm and subsequent blackout, although some analysts argue that this is a significant undercount and warn of blackout risks across the U.S. during severe heat as well.

In the wake of the storm, Texans affected by the energy system's failure began filing lawsuits, and lawmakers proposed a market bailout as political debate intensified. Some of these legal actions were directed against power generators whose plants either ceased to function during the storm or ran out of fuel for electricity generation.

After several years of legal proceedings, a three-judge panel was convened to evaluate the merits of these lawsuits.

This week, Chief Justice Terry Adams issued a unanimous opinion on behalf of the panel, stating, "Texas does not currently recognize a legal duty owed by wholesale power generators to retail customers to provide continuous electricity to the electric grid, and ultimately to the retail customers."

The opinion further clarified that major power generators "are now statutorily precluded by the legislature from having any direct relationship with retail customers of electricity."

This separation of power generation from transmission and retail electric sales in many parts of Texas resulted from energy market deregulation in the early 2000s, with the goal of reducing energy costs, and prompted electricity market reforms aimed at avoiding future blackouts.

Under the previous system, power companies were "vertically integrated," controlling generators, transmission lines, and selling the energy they produced directly to regional customers. However, in deregulated areas of Texas, competition was introduced, creating competing energy-generating companies and retail electric providers that purchase power wholesale and then sell it to residential consumers; meanwhile, electric cooperatives in other parts of the state remained member-owned providers.

Tré Fischer, a partner at the Jackson Walker law firm representing the power companies, explained, "One consequence of that was, because of the unbundling and the separation, you also don't have the same duties and obligations [to consumers]. The structure just doesn't allow for that direct relationship and correspondingly a direct obligation to continually supply the electricity even if there's a natural disaster or catastrophic event."

In the opinion, Justice Adams noted that when designing the Texas energy market, amid renewed interest in ways to improve electricity reliability across the grid, state lawmakers "could have codified the retail customers' asserted duty of continuous electricity on the part of wholesale power generators into law."

The recent ruling applies to five representative cases chosen by the panel out of hundreds filed after the blackout. Due to this decision, it is improbable that any of the lawsuits against power companies will succeed, according to the court's interpretation.

However, plaintiffs' attorneys have indicated their intention to appeal. They may request a review of the panel's opinion by the entire First Court of Appeals or appeal directly to the state supreme court.

The state Supreme Court had previously ruled that the Electric Reliability Council of Texas (ERCOT), the state's power grid operator, enjoys sovereign immunity and cannot be sued over the blackout.

This latest opinion raises the question of who, if anyone, can be held responsible for deaths and losses resulting from the blackout, a question left unaddressed by the court. Fischer commented, "If anything [the judges] were saying that is a question for the Texas legislature."

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Autonomous Energy Kites harness offshore wind on floating platforms, using carbon fiber wings, tethers, and rotors to generate grid electricity; an airborne wind energy solution backed by Alphabet's Makani to cut turbine costs.

Key Points

Autonomous Energy Kites are tethered craft that capture winds with rotors, generating grid power from floating platforms.

✅ Flies circles on tethers; rotors drive generators to feed the grid.

✅ Operates over deep-sea winds where fixed turbines are impractical.

✅ Lighter, less visual impact, and lower installation costs offshore.

One company's self-flying energy kite may be the answer to increasing wind power around the world, alongside emerging wave power solutions as well.

California-based Makani -- which is owned by Google's parent company, Alphabet -- is using power from the strongest winds found out in the middle of the ocean, where the offshore wind sector has huge potential, typically in spots where it's a challenge to install traditional wind turbines. Makani hopes to create electricity to power communities across the world.

Despite a growing number of wind farms in the United States and the potential of this energy source, lessons from the U.K. underscore how to scale, yet only 6% of the world's electricity comes from wind due to the the difficulty of setting up and maintaining turbines, according to the World Wind Energy Association.

When the company's co-founders, who were fond of kiteboarding, realized deep-sea winds were largely untapped, they sought to make that energy more accessible. So they built an autonomous kite, which looks like an airplane tethered to a base, to install on a floating platform in water, as part of broader efforts to harness oceans and rivers for power across regions. Tests are currently underway off the coast of Norway.

"There are many areas around the world that really don't have a good resource for renewable power but do have offshore wind resources," Makani CEO Fort Felker told Rachel Crane, CNN's innovation correspondent. "Our lightweight kites create the possibility that we could tap that resource very economically and bring renewable power to hundreds of millions of people."

This technology is more cost-efficient than a traditional wind turbine, which is a lot more labor intensive and would require lots of machinery and installation.

The lightweight kite, which is made of carbon fiber, has an 85-foot wingspan. The kite launches from a base station and is constrained by a 1,400-foot tether as it flies autonomously in circles with guidance from computers. Crosswinds spin the kite's eight rotors to move a generator that produces electricity that's sent back to the grid through the tether.

The kites are still in the prototype phase and aren't flown constantly right now as researchers continue to develop the technology. But Makani hopes the kites will one day fly 24/7 all year round. When the wind is down, the kite will return to the platform and automatically pick back up when it resumes.

Chief engineer Dr. Paula Echeverri said the computer system is key for understanding the state of the kite in real time, from collecting data about how fast it's moving to charting its trajectory.

Echeverri said tests have been helpful in establishing what some of the challenges of the system are, and the team has made adjustments to get it ready for commercial use. Earlier this year, the team successfully completed a first round of autonomous flights.

Working in deeper water provides an additional benefit over traditional wind turbines, according to Felker. By being farther offshore, the technology is less visible from land, and the growth of offshore wind in the U.K. shows how coastal communities can adapt. Wind turbines can be obtrusive and impact natural life in the surrounding area. These kites may be more attractive to areas that wish to preserve their scenic coastlines and views.

It's also desirable for regions that face constraints related to installing conventional turbines -- such as island nations, where World Bank support is helping developing countries accelerate wind adoption, which have extremely high prices for electricity because they have to import expensive fossil fuels that they then burn to generate electricity.

Makani isn't alone in trying to bring novelty to wind energy. Several others companies such as Altaeros Energies and Vortex Bladeless are experimenting with kites of their own or other types of wind-capture methods, such as underwater kites that generate electricity, a huge oscillating pole that generates energy and a blimp tethered to the ground that gathers winds at higher altitudes.

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Hitachi UK Nuclear Project Freeze reflects Horizon Nuclear Power's suspended Anglesey plant amid Brexit uncertainty, investor funding gaps, rising safety regulation costs, and a 300 billion yen write-down, impacting Britain's low-carbon electricity plans.

Key Points

Hitachi halted Horizon's Anglesey nuclear plant over funding and Brexit risks, recording a 300 billion yen write-down.

✅ 3 trillion yen UK nuclear project funding stalled

✅ 300 billion yen impairment wipes Horizon asset value

✅ Brexit, safety rules raised costs and investor risk

Japan’s Hitachi Ltd said on Thursday it has decided to freeze a 3 trillion yen ($28 billion) British nuclear power project and will consequently book a write down of 300 billion yen.

The suspension comes as Hitachi’s Horizon Nuclear Power failed to find private investors for its plans to build a plant in Anglesey, Wales, where local economic concerns have been raised, which promised to provide about 6 percent of Britain’s electricity.

“We’ve made the decision to freeze the project from the economic standpoint as a private company,” Hitachi said in a statement.

Hitachi had called on the British government to boost financial support for the project to appease investor anxiety, but turmoil over the country’s impending exit from the European Union limited the government’s capacity to compile plans, people close to the matter previously said.

Hitachi had called on the British government to boost financial support for the project to appease investor anxiety, but turmoil over the country’s impending exit from the European Union and setbacks at Hinkley Point C limited the government’s capacity to compile plans, people close to the matter previously said.

Hitachi had banked on a group of Japanese investors and the British government each taking a one-third stake in the equity portion of the project, the people said. The project would be financed one-third by equity and rest by debt.

The nuclear writedown wipes off the Horizon unit’s asset value, which stood at 296 billion yen as of September-end.

Hitachi stopped short of scrapping the northern Wales project. The company will continue to discuss with the British government on nuclear power, it said.

However, industry sources said hurdles to proceed with the project are high considering tighter safety regulations since a meltdown at Japan’s Fukushima nuclear power plant in 2011 drove up costs, even as Europe’s nuclear decline strains energy planning.

Analysts and investors viewed the suspension as an effective withdrawal and saw the decision as a positive step that has removed uncertainties for the Japanese conglomerate.

Hitachi bought Horizon in 2012 for 696 million pounds ($1.12 billion), fromE.ON and RWE as the German utilities decided to sell their joint venture following Germany’s nuclear exit after the Fukushima accident.

Hitachi’s latest decision further dims Japan’s export prospects, even as some peers pursue UK offshore wind investments to diversify.

Toshiba Corp last year scrapped its British NuGen project after its US reactor unit Westinghouse went bankrupt, while Westinghouse in China reported no major impact, and it failed to sell NuGen to South Korea’s KEPCO.

Mitsubishi Heavy Industries Ltd has effectively abandoned its Sinop nuclear project in Turkey, a person involved in the project previously told Reuters, as cost estimates had nearly doubled to around 5 trillion yen.

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Ontario EV Battery Storage ROI leverages V2B, V2G, two-way charging, demand response, and second-life batteries to monetize peak pricing, cut GHG emissions, and unlock up to $38,000 in lifetime value for commuters and buildings.

Key Points

The economic return from V2B/V2G two-way charging and second-life storage using EV batteries within Ontario's grid.

✅ Monetize peak pricing via workplace V2B discharging

✅ Earn up to $8,400 per EV over vehicle life

✅ Reduce gas generation and GHGs with demand response

The payback that usually comes to mind when people buy an electric vehicle is to drive an emissions-free, low-maintenance, better-performing mode of transportation.

On top of that, you can now add $38,000.

That, according to a new report from Ontario electric vehicle education and advocacy nonprofit, Plug‘n Drive, is the potential lifetime return for an electric car driven as a commuter vehicle while also being used as an electricity storage option amid an energy storage crunch in Ontario’s electricity system.

“EVs contain large batteries that store electric energy,” says the report. “Besides driving the car, [those] batteries have two other potentially useful applications: mobile storage via vehicle-to-grid while they are installed in the vehicle, and second-life storage after the vehicle batteries are retired.”

Pricing and demand differentials
The study, prepared by the research firm Strategic Policy Economics, modeled a two-stage scenario calculating the total benefits from both mobile and second-life storage when taking advantage of differences in daytime and nighttime electricity pricing and demand.

If done systematically and at scale, the combined benefits to EV owners, building operators and the electricity system in Ontario could reach $129 million per year by 2035, according to the report. Along with the financial gains, the province would also cut GHG emissions by up to 67.2 kilotons annually.

The math might sound complicated, but the concepts are simple. All it requires is for drivers to charge their batteries with low-cost electricity overnight at home, then plug them into two-way EV charging stations at work and discharge their stored electricity for use by the building by day when buying power from the grid is more expensive.

“Workplace buildings could avoid high daytime prices by purchasing electricity from EVs parked onsite and enjoy savings as a result,” says the report.

Based on average commuting distances, EVs in this scenario could make half their storage capacity available for discharge. Drivers would be paid out of the building’s savings, effectively selling electricity back to the grid and earning up to $8,400 over the life of their vehicle.

According to the report, Ontario could have as many as 18,555 vehicles participating in mobile storage by 2030. At this level, the daily electricity demand would be reduced by 565 MWh. This, in turn, would reduce demand for natural gas-fired electricity generation, a fossil-fuel electricity source, avoiding the expense of gas purchases while reducing GHG emissions.

The second-life storage opportunity begins when the vehicle lifespan ends. “EV batteries will still have over 80% of their storage capacity after being driven for 13 years and providing mobile storage,” the report states. “Those-second life batteries could provide a low-cost energy storage solution for the electricity grid and enhance grid stability over time.”

Some of the savings could be shared with EV owners in the form of a rebate worth up to 20 per cent of the batteries’ initial cost.

Call to action
The report concludes with a call to action for EV advocates to press policy makers and other stakeholders to take actions on building codes, the federal Clean Fuel Standard and other business models in order to maximize the benefits of using EV batteries for the electricity system in this way, even as growing adoption could challenge power grids in some regions.

“EVs are often approached as an environmental solution to climate change,” says Cara Clairman, Plug’n Drive president and CEO. “While this is true, there are significant economic opportunities that are often overlooked.”

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AI Energy Consumption strains corporate electricity bills as data centers and HPC workloads run nonstop, driving carbon emissions. Efficiency upgrades, renewable energy, and algorithm optimization help control costs and enhance sustainability across industries.

Key Points

AI Energy Consumption is the power used by AI compute and data centers, impacting costs and sustainability.

✅ Optimize cooling, hardware, and workloads to cut kWh per inference

✅ Integrate on-site solar, wind, or PPAs to offset data center power

✅ Tune models and algorithms to reduce compute and latency

Artificial Intelligence (AI) is revolutionizing industries with its promise of increased efficiency and productivity. However, as businesses integrate AI technologies into their operations, there's a significant and often overlooked impact: the strain on corporate electricity bills.

AI's Growing Energy Demand

The adoption of AI entails the deployment of high-performance computing systems, data centers, and sophisticated algorithms that require substantial energy consumption. These systems operate around the clock, processing massive amounts of data and performing complex computations, and, much like the impact on utilities seen with major EV rollouts, contributing to a notable increase in electricity usage for businesses.

Industries Affected

Various sectors, including finance, healthcare, manufacturing, and technology, rely on AI-driven applications for tasks ranging from data analysis and predictive modeling to customer service automation and supply chain optimization, while manufacturing is influenced by ongoing electric motor market growth that increases electrified processes.

Cost Implications

The rise in electricity consumption due to AI deployments translates into higher operational costs for businesses. Corporate entities must budget accordingly for increased electricity bills, which can impact profit margins and financial planning, especially in regions experiencing electricity price volatility in Europe amid market reforms. Managing these costs effectively becomes crucial to maintaining competitiveness and sustainability in the marketplace.

Sustainability Challenges

The environmental impact of heightened electricity consumption cannot be overlooked. Increased energy demand from AI technologies contributes to carbon emissions and environmental footprints, alongside rising e-mobility demand forecasts that pressure grids, posing challenges for businesses striving to meet sustainability goals and regulatory requirements.

Mitigation Strategies

To address the escalating electricity bills associated with AI, businesses are exploring various mitigation strategies:

1. Energy Efficiency Measures: Implementing energy-efficient practices, such as optimizing data center cooling systems, upgrading to energy-efficient hardware, and adopting smart energy management solutions, can help reduce electricity consumption.

2. Renewable Energy Integration: Investing in renewable energy sources like solar or wind power and energy storage solutions to enhance flexibility can offset electricity costs and align with corporate sustainability initiatives.

3. Algorithm Optimization: Fine-tuning AI algorithms to improve computational efficiency and reduce processing times can lower energy demands without compromising performance.

4. Cost-Benefit Analysis: Conducting thorough cost-benefit analyses of AI deployments to assess energy consumption against operational benefits and potential rate impacts, informed by cases where EV adoption can benefit customers in broader electricity markets, helps businesses make informed decisions and prioritize energy-saving initiatives.

Future Outlook

As AI continues to evolve and permeate more aspects of business operations, the demand for electricity will likely intensify and may coincide with broader EV demand projections that increase grid loads. Balancing the benefits of AI-driven innovation with the challenges of increased energy consumption requires proactive energy management strategies and investments in sustainable technologies.

Conclusion

The integration of AI technologies presents significant opportunities for businesses to enhance productivity and competitiveness. However, the corresponding surge in electricity bills underscores the importance of proactive energy management and sustainability practices. By adopting energy-efficient measures, leveraging renewable energy sources, and optimizing AI deployments, businesses can mitigate cost impacts, reduce environmental footprints, and foster long-term operational resilience in an increasingly AI-driven economy.

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