Solar Power Plant in Western China Is Successfully Connected

Air-gen Protein Nanowire Generator delivers clean energy by harvesting ambient humidity via Geobacter-derived conductive nanowires, generating continuous hydrovoltaic electricity through moisture gradients, electrodes, and proton diffusion for sustainable, low-waste power in diverse climates.

Key Points

A device using Geobacter protein nanowires to harvest humidity, producing continuous DC power via proton diffusion.

✅ 7 micrometer film between electrodes adsorbs water vapor.

✅ Output: ~0.5 V, 17 uA/cm2; stack units to scale power.

✅ Geobacter optimized via engineered E. coli for mass nanowires.

They found it buried in the muddy shores of the Potomac River more than three decades ago: a strange "sediment organism" that could do things nobody had ever seen before in bacteria.

This unusual microbe, belonging to the Geobacter genus, was first noted for its ability to produce magnetite in the absence of oxygen, but with time scientists found it could make other things too, like bacterial nanowires that conduct electricity.

For years, researchers have been trying to figure out ways to usefully exploit that natural gift, and they might have just hit pay-dirt with a device they're calling the Air-gen. According to the team, their device can create electricity out of… well, almost nothing, similar to power from falling snow reported elsewhere.

"We are literally making electricity out of thin air," says electrical engineer Jun Yao from the University of Massachusetts Amherst. "The Air-gen generates clean energy 24/7."

The claim may sound like an overstatement, but a new study by Yao and his team describes how the air-powered generator can indeed create electricity with nothing but the presence of air around it. It's all thanks to the electrically conductive protein nanowires produced by Geobacter (G. sulfurreducens, in this instance).

The Air-gen consists of a thin film of the protein nanowires measuring just 7 micrometres thick, positioned between two electrodes, referencing advances in near light-speed conduction in materials science, but also exposed to the air.

Because of that exposure, the nanowire film is able to adsorb water vapour that exists in the atmosphere, offering a contrast to legacy hydropower models, enabling the device to generate a continuous electrical current conducted between the two electrodes.

The team says the charge is likely created by a moisture gradient that creates a diffusion of protons in the nanowire material.

"This charge diffusion is expected to induce a counterbalancing electrical field or potential analogous to the resting membrane potential in biological systems," the authors explain in their study.

"A maintained moisture gradient, which is fundamentally different to anything seen in previous systems, explains the continuous voltage output from our nanowire device."

The discovery was made almost by accident, when Yao noticed devices he was experimenting with were conducting electricity seemingly all by themselves.

"I saw that when the nanowires were contacted with electrodes in a specific way the devices generated a current," Yao says.

"I found that exposure to atmospheric humidity was essential and that protein nanowires adsorbed water, producing a voltage gradient across the device."

Previous research has demonstrated hydrovoltaic power generation using other kinds of nanomaterials – such as graphene-based systems now under study – but those attempts have largely produced only short bursts of electricity, lasting perhaps only seconds.

By contrast, the Air-gen produces a sustained voltage of around 0.5 volts, with a current density of about 17 microamperes per square centimetre, and complementary fuel cell solutions can help keep batteries energized, with a current density of about 17 microamperes per square centimetre. That's not much energy, but the team says that connecting multiple devices could generate enough power to charge small devices like smartphones and other personal electronics – concepts akin to virtual power plants that aggregate distributed resources – all with no waste, and using nothing but ambient humidity (even in regions as dry as the Sahara Desert).

"The ultimate goal is to make large-scale systems," Yao says, explaining that future efforts could use the technology to power homes via nanowire incorporated into wall paint, supported by energy storage for microgrids to balance supply and demand.

"Once we get to an industrial scale for wire production, I fully expect that we can make large systems that will make a major contribution to sustainable energy production."

If there is a hold-up to realising this seemingly incredible potential, it's the limited amount of nanowire G. sulfurreducens produces.

Related research by one of the team – microbiologist Derek Lovley, who first identified Geobacter microbes back in the 1980s – could have a fix for that: genetically engineering other bugs, like E. coli, to perform the same trick in massive supplies.

"We turned E. coli into a protein nanowire factory," Lovley says.

"With this new scalable process, protein nanowire supply will no longer be a bottleneck to developing these applications."

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Pickering Nuclear False Alert Investigation probes Ontario's emergency alert system after a provincewide cellphone, radio, and TV warning, assessing human error, Pelmorex safeguards, Emergency Management Ontario oversight, and communication delays.

Key Points

An Ontario probe into the erroneous Pickering nuclear alert, focusing on human error, system safeguards, and oversight.

✅ Human error during routine testing suspected

✅ Pelmorex safeguards and EMO protocols under review

✅ Two-hour all-clear delay prompts communication fixes

An investigation into a mistaken Pickering alert warning of an incident at the Pickering Nuclear Generating Station will be completed fairly quickly, Ontario's solicitor general said.

Sylvia Jones tapped the chief of Emergency Management Ontario to investigate how the alert warning of an unspecified problem at the facility was sent in error to cellphones, radios and TVs across the province at about 7:30 a.m. Sunday.

"It's very important for me, for the people of Ontario, to know exactly what happened on Sunday morning," said Jones. "Having said that, I do not anticipate this is going to be a long, drawn-out investigation. I want to know what happened and equally important, I want some recommendations on insurances and changes we can make to the system to make sure it doesn't happen again."

Initial observations suggest human error was responsible for the alert that was sent out during routine tests of the emergency alert, Jones said.

"This has never happened in the history of the tests that they do every day, twice a day, but I do want to know exactly all of the issues related to it, whether it was one human error or whether it was a series of things."

Martin Belanger, the director of public alerting for Pelmorex, a company that operates the alert system, said there are a number of safeguards built in, including having two separate platforms for training and live alerts.

"The software has some steps and some features built in to minimize that risk and to make sure that users will be able to know whether or not they're sending an alert through the...training platform or whether they're accessing the live system in the case of a real emergency," he said.

Only authorized users have access to the system and the province manages that, Belanger said. Once in the live system, features make the user aware of which platform they are using, with various prompts and messages requiring the user's confirmation. There is a final step that also requires the user to confirm their intent of issuing an alert to cellphones, radio and TVs, Belanger said.

On Sunday, a follow-up alert was sent to cellphones nearly two hours after the original notification, and similar grid alerts in Alberta underscore timing and public expectations.

NDP energy critic Peter Tabuns is critical of that delay, noting that ongoing utility scam warnings can further erode public trust.

"That's a long time for people to be waiting to find out what's really going on," he said. "If people lose confidence in this system, the ability to use it when there is a real emergency will be impaired. That's dangerous."

Treasury Board President Peter Bethlenfalvy, who represents the riding of Pickering-Uxbridge, said getting that alert Sunday morning was "a shock to the system," and he too wants the investigation to address the reason for the all-clear delay.

"We all have a lot of questions," he said. "I think the public has every right to know exactly what went on and we feel exactly the same way."

People in the community know the facility is safe, Bethlenfalvy said.

"We have some of the safest nuclear assets in the world -- the safest -- at 60 per cent of Ontario's electricity," he said.

A poll released Monday found that 82 per cent of Canadians are concerned about spills from nuclear reactors contaminating drinking water and 77 per cent are concerned about neighbourhood safety and security risks for those living close to nuclear plants. Oraclepoll Research surveyed 2,094 people across the country on behalf of Friends of the Earth between Jan. 2 and 12, the day of the false alert. The have a margin of error of plus or minus 2.1 per cent, 19 times out of 20.

The wording of Sunday's alert caused much initial confusion, and events like a power outage in London show how morning disruptions can amplify concern, warning residents within 10 kilometres of the plant of "an incident," though there was no "abnormal" release of radioactivity and residents didn't need to take protective steps, but emergency crews were responding.

In the event of a real emergency, the wording would be different, Jones said.

"There are a number of different alerts that are already prepared and are ready to go," she said. "We have the ability to localize it to the communities that are impacted, but because this was a test, it went provincewide."

Jones said she expects the results of the probe to be made public.

The Pickering nuclear plant has been operating since 1971, and had been scheduled to be decommissioned this year, but the former Liberal government -- and the current Progressive Conservative government -- committed to keeping it open until 2024. Decommissioning is now set to start in 2028.

It operates six CANDU reactors, generates 14 per cent of Ontario's electricity and is responsible for 4,500 jobs across the region, according to OPG, and OPG's credit rating remains stable.

During the COVID-19 pandemic, Hydro One employees supported the Province of Ontario in the fight against COVID-19.

The Green party is calling on the province to use this opportunity to review its nuclear emergency response plan, including pandemic staffing contingencies, last updated in 2017 and subject to review every five years.

Toronto Mayor John Tory praised Ontario for swiftly launching an investigation, but said communication between city and provincial officials wasn't what it should have been under the circumstances.

"It was a poor showing and I think everybody involved knows that," he said. "We've got to make sure it's not repeated."

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Gulf Power renewable energy contract underscores a Florida PSC-approved power purchase from Bay County's municipal solid waste plant, delivering 13.65 MW at a fixed price, boosting fuel diversity, lowering landfill waste, and saving customers money.

Key Points

A fixed-price PPA for 13.65 MW from Bay County's waste-to-energy plant, approved by Florida PSC to cut costs.

✅ Fixed-price purchase; pay only for energy produced.

✅ 13.65 MW from Bay County waste-to-energy facility.

✅ Cuts landfill waste and natural gas dependency.

The Florida Public Service Commission (PSC) approved Tuesday a contract under which Gulf Power Company will purchase all the electricity generated by the Bay County Resource Recovery Facility, a municipal solid waste plant, similar to SaskPower-Manitoba Hydro deal structures seen elsewhere, over the next six years.

“Gulf’s renewable energy purchase promotes Florida’s fuel diversity, further reducing our dependency on natural gas,” PSC Chairperson Julie Brown said. “This renewable energy option also reduces landfill waste, saves customers money, and serves the public interest.”

The contract provides for Gulf to acquire the Panama City facility’s 13.65 megawatts of renewable generation for its customers beginning in July 2017. Gulf will pay a fixed price, aligned with approaches in Alberta's clean electricity RFP programs, and only pays for the energy produced. The contract is expected to save approximately $250,000 and provides security for customers, a contrast to overruns at the Kemper power plant project, because if the plant does not supply energy, Gulf does not have to provide payment.

This contract is the third renewable energy contract between Gulf and Bay County, at a time when the Southern California plant closures may be postponed, continuing agreements approved in 2008 and 2014. In making the decision, the PSC considered Gulf’s need for power and developments such as the Turkey Point license renewal process, as well as the contract’s cost-effectiveness, payment provisions, and performance guarantees, as required by rule.

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AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

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Iceland Bitcoin Mining Energy Shortage highlights surging cryptocurrency and blockchain data center electricity demand, as hydroelectric and geothermal power strain to cool servers, stabilize grid, and meet rapid mining farm growth amid Arctic-friendly conditions.

Key Points

Crypto mining data centers in Iceland are outpacing renewable power, straining the grid and exceeding residential electricity demand.

✅ Hydroelectric and geothermal capacity nearing allocation limits

✅ Cooling-friendly climate draws energy-hungry mining farms

✅ Grid planning and regulation lag rapid data center growth

The value of bitcoin may have stumbled in recent months, but in Iceland it has known only one direction so far: upward. The stunning success of cryptocurrencies around the globe has had a more unexpected repercussion on the island of 340,000 people: It could soon result in an energy shortage in the middle of the Atlantic Ocean.

As Iceland has become one of the world's prime locations for energy-hungry cryptocurrency servers — something analysts describe as a 21st-century gold-rush equivalent — the industry’s electricity demands have skyrocketed, too. For the first time, they now exceed Icelanders’ own private energy consumption, and energy producers fear that they won’t be able to keep up with rising demand if Iceland continues to attract new companies bidding on the success of cryptocurrencies, a concern echoed by policy moves like Russia's proposed mining ban amid electricity deficits.

Companies have flooded Iceland with requests to open new data centers to “mine” cryptocurrencies in recent months, even as concerns mount that the country may have to slow down investments amid an increasingly stretched electricity generation capacity, a dynamic seen in BC Hydro's suspension of new crypto connections in Canada.

“There was a lot of talk about data centers in Iceland about five years ago, but it was a slow start,” Johann Snorri Sigurbergsson, a spokesman for Icelandic energy producer HS Orka, told The Washington Post. “But six months ago, interest suddenly began to spike. And over the last three months, we have received about one call per day from foreign companies interested in setting up projects here.”

“If all these projects are realized, we won’t have enough energy for it,” Sigurbergsson said.

Every cryptocurrency in the world relies on a “blockchain” platform, which is needed to trade with digital currencies. Tracking and verifying a transaction on such a platform is like solving a puzzle because networks are often decentralized, and there is no single authority in charge of monitoring payments. As a result, a transaction involves an immense number of mathematical calculations, which in turn occupy vast computer server capacity. And that requires a lot of electricity, as analyses of bitcoin's energy use indicate worldwide.

The bitcoin rush may have come as a surprise to locals in sleepy Icelandic towns that are suddenly bustling with cryptocurrency technicians, but there’s a simple explanation. “The economics of bitcoin mining mean that most miners need access to reliable and very cheap power on the order of 2 or 3 cents per kilowatt hour. As a result, a lot are located near sources of hydro power, where it’s cheap,” Sam Hartnett, an associate at the nonprofit energy research and consulting group Rocky Mountain Institute, told the Washington Post.

Top financial regulators briefed a Senate panel on Feb. 6 about their work with cryptocurrencies like Bitcoin, and the risks to potential investors. (Reuters)

Located in the middle of the Atlantic Ocean and famous for its hot springs and mighty rivers, Iceland produces about 80 percent of its energy in hydroelectric power stations, compared with about 6 percent in the United States, and innovations such as underwater kites illustrate novel ways to harness marine energy. That and the cold climate make it a perfect location for new data-mining centers filled with servers in danger of overheating.

Those conditions have attracted scores of foreign companies to the remote location, including Germany's Genesis Mining, which moved to Iceland about three years ago. More have followed suit since then or are in the process of moving. 

While some analysts are already sensing a possible new revenue source for the country that is so far mostly known abroad as a tourist haven and low-budget airline hub, others are more concerned by a phenomenon that has so far mostly alarmed analysts because of its possible financial unsustainability, alongside issues such as clean energy's dirty secret that complicate the picture. Some predictions have concluded that cryptocurrency computer operations may account for “all of the world’s energy by 2020” or may already account for the equivalent of Denmark's energy needs. Those predictions are probably too alarmist, though. 

Most analysts agree that the real energy-consumption figure is likely smaller, and several experts recently told the Washington Post that bitcoin — currently the world's biggest cryptocurrency — used no more than 0.14 percent of the world’s generated electricity, as of last December. Even though global consumption may not be as significant as some have claimed, it still presents a worrisome drain for a tiny country such as Iceland, where consumption suddenly began to spike with almost no warning — and continues to grow fast.

Some networks are considering or have already pushed through changes to their protocols, designed to reduce energy use. But implementing such changes for the leading currency, bitcoin, won't be as easy because it is inherently decentralized. The companies that provide the vast amounts of computing power needed for these transactions earn a small share, comparable to a processing fee or a reward.

They are the source of the Icelandic bitcoin miners’ income — a revenue source that many Icelanders are still not quite sure what to make of, especially if the lights start flickering.

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Ottawa Electricity Consumption Drop reflects COVID-19 impacts, with Hydro Ottawa and IESO reporting 10-12% lower demand, delayed morning peaks, and shifted weekend peak to 4 p.m., alongside provincial time-of-use rate relief.

Key Points

A 10-12% decline in Ottawa's electricity demand during COVID-19, with later morning peaks and weekend peak at 4 p.m.

✅ Weekday demand down 11%; weekends down 10% vs April 2019.

✅ Morning peak delayed about 4 hours; 6 a.m. usage down 17%.

✅ Weekend peak moved from 7 p.m. to 4 p.m.; rate relief ongoing.

Ottawa residents may be spending more time at home, with residential electricity use up even as the city’s overall energy use has dropped during the COVID-19 pandemic.

Hydro Ottawa says there was a 10-to-11 per cent drop in electricity consumption in April, with the biggest decline in electricity usage happening early in the morning, a pattern echoed by BC Hydro findings in its province.

Statistics provided to CTV News Ottawa show average hourly energy consumption in the City of Ottawa dropped 11 per cent during weekdays, mirroring Manitoba Hydro trends reported during the pandemic, and a 10 per cent decline in electricity consumption on weekends.

The drop in energy consumption came as many businesses in Ottawa closed their doors due to the COVID-19 measures and physical distancing guidelines.

“Based on our internal analysis, when comparing April 2020 to April 2019, Hydro Ottawa observed a lower, flatter rise in energy use in the morning, with peak demand delayed by approximately four hours.” Hydro Ottawa said in a statement to CTV News Ottawa.

“Morning routines appear to have the largest difference in energy consumption, most likely as a result of a collective slower pace to start the day as people are staying home.”

Hydro Ottawa says overall, there was an 11 per cent average hourly reduction in energy use on weekdays in April 2020, compared to April 2019. The biggest difference was the 6 a.m. hour, with a 17 per cent decrease.

On weekends, the average electricity usage dropped 10 per cent in April, compared to April 2019. The biggest difference was between 7 a.m. and 8 a.m., with a 13 per cent drop in hydro usage.

Hydro Ottawa says weekday peak continues to be at 4 p.m., while on weekends the peak has shifted from 7 p.m. before the pandemic to 4 p.m. now, though Hydro One has not cut peak rates for self-isolating customers.

The Independent Electricity System Operator says across Ontario, there has been a 10 to 12 per cent drop in energy consumption during the pandemic, a trend reflected in province-wide demand data that is the equivalent to half the demand of Toronto.

The Ontario Government has provided emergency electricity rate relief during the COVID-19 pandemic. Residential and small business consumers on time-of-use pricing, and later ultra-low overnight options, will continue to pay one price no matter what time of day the electricity is consumed until the end of May.

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