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Transcranial electrical stimulation synchronizes brain waves to bolster working memory, aligning neural oscillations across the prefrontal and temporal cortex. This noninvasive brain stimulation may counter cognitive aging by restoring network coupling and improving short-term recall.

Key Points

Transcranial electrical stimulation applies scalp currents to synchronize brain waves, briefly enhancing working memory.

✅ Synchronizes prefrontal-temporal networks to restore coupling

✅ Noninvasive tES/tACS protocols show rapid, reversible gains

✅ Effects lasted under an hour; durability remains to be tested

To read this sentence, you hold the words in your mind for a few seconds until you reach the period. As you do, neurons in your brain fire in coordinated bursts, generating electrical waves that let you hold information for as long as it is needed, much as novel devices can generate electricity from falling snow under specific conditions. But as we age, these brain waves start to get out of sync, causing short-term memory to falter. A new study finds that jolting specific brain areas with a periodic burst of electricity might reverse the deficit—temporarily, at least.

The work makes “a strong case” for the idea that out-of-sync brain waves in specific regions can drive cognitive aging, says Vincent Clark, a neuroscientist at the University of New Mexico in Albuquerque, who was not involved in the research. He adds that the brain stimulation approach in the study may result in a new electrical therapy for age-related deficits in working memory.

Working memory is “the sketchpad of the mind,” allowing us to hold information in our minds over a period of seconds. This short-term memory is critical to accomplishing everyday tasks such as planning and counting, says Robert Reinhart, a neuroscientist at Boston University who led the study. Scientists think that when we use this type of memory, millions of neurons in different brain areas communicate through coupled bursts of activity, a form of electrical conduction that coordinates timing across networks. “Cells that fire together, wire together,” Reinhart says.

But despite its critical role, working memory is a fragile cognitive resource that declines with age, Reinhart says. Previous studies had suggested that reduced working-memory performance in the elderly is linked to uncoupled activity in different brain areas. So Reinhart and his team set out to test whether recoupling brain waves in older adults could boost the brain’s ability to temporarily store information, a systems-level coordination challenge akin to efforts to use AI for energy savings on modern power grids.

To do so, the researchers used jolts of weak electrical current to synchronize waves in the prefrontal and temporal cortex—two brain areas critical for cognition, a targeted approach not unlike how grids use batteries to stabilize power during strain—and applied the current to the scalps of 42 healthy people in their 60s and 70s who showed no signs of decline in mental ability. Before their brains were zapped, participants looked at a series of images: an everyday object, followed briefly by a blank screen, and then either an identical or a modified version of the same object. The goal was to spot whether the two images were different.

Then the participants took the test again, while their brains were stimulated with a current. After about 25 minutes of applying electricity, participants were on average more accurate at identifying changes in the images than they were before the stimulation. Following stimulation, their performance in the test was indistinguishable from that of a group of 42 people in their 20s. And the waves in the prefrontal and temporal cortex, which had previously been out of sync in most of the participants, started to fire in sync, the researchers report today in Nature Neuroscience, a synchronization imperative reminiscent of safeguards that prevent power blackouts on threatened grids. No such effects occurred in a second group of older people who received jolts of current that didn’t synchronize waves in the prefrontal and temporal cortex.

By using bursts of current to knock brain waves out of sync, the researchers also modulated the brain chatter in healthy people in their 20s, making them slower and less accurate at spotting differences in the image test.

“This is a very nice and clear demonstration of how functional connections underlie memory in younger adults and how alterations … can lead to memory reductions in older adults,” says Cheryl Grady, a cognitive neuroscientist at the Rotman Research Institute at Baycrest in Toronto, Canada. It’s also the first time that transcranial stimulation has been shown to restore working memory in older people, says Michael O’Sullivan, a neuroscientist at the University of Queensland in Brisbane, Australia, though electricity in medicine extends far beyond neurostimulation.

But whether brain zapping could turbocharge the cognitive abilities of seniors or help improve the memories of people with diseases like Alzheimer’s is still unclear: In the study, the positive effects on working memory lasted for just under an hour—though Reinhart says that’s as far as they recorded in the experiment. The team didn’t see the improvements decline toward the end, so he suspects that the cognitive boost may last for longer. Still, researchers say much more work has to be done to better understand how the stimulation works.

Clark is optimistic. “No pill yet developed can produce these sorts of effects safely and reliably,” he says. “Helping people is the ultimate goal of all of our research, and it’s encouraging to see that progress is being made.”

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California Wildfire Smoke Impact on Solar reduces photovoltaic output, as particulate pollution, soot, and haze dim sunlight and foul panels, cutting utility-scale generation and grid reliability across CAISO during peak demand and heatwaves.

Key Points

How smoke and soot cut solar irradiance and foul panels, slashing PV generation and straining CAISO grid operations.

✅ Smoke blocks sunlight; soot deposition reduces panel efficiency.

✅ CAISO reported ~30% drop versus July during peak smoke.

✅ Longer fire seasons threaten solar reliability and capacity planning.

Smoke from California’s unprecedented wildfires was so bad that it cut a significant chunk of solar power production in the state, even as U.S. solar generation rose in 2022 nationwide. Solar power generation dropped off by nearly a third in early September as wildfires darkened the skies with smoke, according to the US Energy Information Administration.

Those fires create thick smoke, laden with particles that block sunlight both when they’re in the air and when they settle onto solar panels. In the first two weeks of September, soot and smoke caused solar-powered electricity generation to fall 30 percent compared to the July average, according to the California Independent System Operator (CAISO), which oversees nearly all utility-scale solar energy in California, where wind and solar curtailments have been rising amid grid constraints. It was a 13.4 percent decrease from the same period last year, even though solar capacity in the state has grown about 5 percent since September 2019.

California depends on solar installations for nearly 20 percent of its electricity generation, and has more solar capacity than the next five US states trailing it combined as it works to manage its solar boom sustainably. It will need even more renewable power to meet its goal of 100 percent clean electricity generation by 2045, building on a recent near-100% renewable milestone that underscored the transition. The state’s emphasis on solar power is part of its long-term efforts to avoid more devastating effects of climate change. But in the short term, California’s renewables are already grappling with rising temperatures.

Two records were smashed early this September that contributed to the loss of solar power. California surpassed 2 million acres burned in a single fire season for the first time (1.7 million more acres have burned since then). And on September 15th, small particle pollution reached the highest levels recorded since 2000, according to the California Air Resources Board. Winds that stoked the flames also drove pollution from the largest fires in Northern California to Southern California, where there are more solar farms.

Smaller residential and commercial solar systems were affected, too, and solar panels during grid blackouts typically shut off for safety, although smoke was the primary issue here. “A lot of my systems were producing zero power,” Steve Pariani, founder of the solar installation company Solar Pro Energy Systems, told the San Mateo Daily Journal in September.

As the planet heats up, California’s fire seasons have grown longer, and blazes are tearing through more land than ever before, while grid operators are also seeing rising curtailments as they integrate more renewables. For both utilities and smaller solar efforts, wildfire smoke will continue to darken solar energy’s otherwise bright future, even as it becomes the No. 3 renewable source in the U.S. by generation.

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Ontario Teachers SSEN Transmission Investment advances UK renewable energy, with a 25% minority stake in SSE plc's electricity transmission network, backing offshore wind, grid expansion, and Net Zero 2050 goals across Scotland and UK.

Key Points

A 25% stake by Ontario Teachers in SSE's SSEN Transmission to fund UK grid upgrades and accelerate renewables.

✅ £1,465m cash for 25% minority stake in SSEN Transmission

✅ Supports offshore wind, grid expansion, and Net Zero targets

✅ Partnering SSE plc to deliver clean, affordable power in the UK

Ontario Teachers’ Pension Plan Board (‘Ontario Teachers’) has reached an agreement with Scotland-based energy provider SSE plc (‘SSE’) to acquire a 25% minority stake in its electricity transmission network business, SSEN Transmission, to provide clean, affordable renewable energy to millions of homes and businesses across the UK, reflecting how clean-energy generation powers both the economy and the environment.

The transaction is based on an effective economic date of 31 March 2022, and total cash proceeds of £1,465m for the 25% stake are expected at completion. The transaction is expected to complete shortly.

Measures such as Ontario's 2021 electricity rate reductions have aimed to ease costs for businesses, informing broader discussions on affordability.

SSEN Transmission, which operates under its licenced entity, Scottish Hydro Electric Transmission plc, transports electricity generated from renewable resources – including onshore and offshore wind and hydro – from the north of Scotland across more than a quarter of the UK land mass amid scrutiny of UK electricity and gas networks profits under the regulatory regime. The investment by Ontario Teachers’ will help support the UK Government’s Net Zero 2050 targets, including the delivery of 50GW of offshore wind capacity by 2030.

Charles Thomazi, Senior Managing Director, Head of EMEA Infrastructure & Natural Resources, from Ontario Teachers’ said, noting that in Canada decisions like the OEB decision on Hydro One's T&D rates guide utility planning:

“SSEN Transmission is one of Europe’s fastest growing transmission networks. Its network stretches across some of the most challenging terrain in Scotland – from the North Sea and across the Highlands – to deliver safe, reliable, renewable energy to demand centres across the UK.

We’re delighted to partner again with SSE and are committed to supporting the growth of its network and the vital role it plays in the UK’s green energy revolution.”

Investor views on regulated utilities can diverge, as illustrated by analyses of Hydro One's investment outlook that weigh uncertainties and risk factors.

Rob McDonald, Managing Director of SSEN Transmission, said:

“With the north of Scotland home to the UK’s greatest resources of renewable electricity we have a critical role to play in helping deliver the UK and Scottish Governments net zero commitments.  Our investments will also be key to securing the UK’s future energy independence through enabling the deployment of homegrown, affordable, low carbon power.

“With significant growth forecast in transmission, bringing in Ontario Teachers’ as a minority stake partner will help fund our ambitious investment plans as we continue to deliver a network for net zero emissions across the north of Scotland.” 

Ontario Teachers’ Infrastructure & Natural Resources group invests in electricity infrastructure worldwide to accelerate the energy transition with current investments including Caruna, Finland’s largest electricity distributor, Evoltz, a leading electricity transmission platform in Brazil, and Spark Infrastructure, which invests in essential energy infrastructure in Australia to serve over 5 million homes and businesses.

In Ontario, distribution consolidation has included the sale of Peterborough Distribution to Hydro One for $105 million, illustrating ongoing sector realignment.

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Medicine Hat Smart Grid AI modernizes electricity distribution with automation, sensors, and demand response, enhancing energy efficiency and renewable integration while using predictive analytics and real-time data to reduce consumption and optimize grid operations.

Key Points

An initiative using smart grid tech and AI to optimize energy use, cut waste, and improve renewable integration.

✅ Predictive analytics forecast demand to balance load and prevent outages.

✅ Automation, sensors, and meters enable dynamic, resilient distribution.

✅ Integrates solar and wind with demand response to cut emissions.

The city of Medicine Hat, Alberta, is taking bold steps toward enhancing its energy infrastructure and reducing electricity consumption with the help of innovative technology. Recently, several grant winners have been selected to improve the city's electricity grid distribution and leverage artificial intelligence (AI) to adapt to electricity demands while optimizing energy use. These projects promise to not only streamline energy delivery but also contribute to more sustainable practices by reducing energy waste.

Advancing the Electricity Grid

Medicine Hat’s electricity grid is undergoing a significant transformation, thanks to a new set of initiatives funded by government grants that advance a smarter electricity infrastructure vision for the region. The city has long been known for its commitment to sustainable energy practices, and these new projects are part of that legacy. The winners of the grants aim to modernize the city’s electricity grid to make it more resilient, efficient, and adaptable to the changing demands of the future, aligning with macrogrid strategies adopted nationally.

At the core of these upgrades is the integration of smart grid technologies. A smart grid is a more advanced version of the traditional power grid, incorporating digital communications and real-time data to optimize the delivery and use of electricity. By connecting sensors, meters, and control systems across the grid, along with the integration of AI data centers where appropriate, the grid can detect and respond to changes in demand, adjust to faults or outages, and even integrate renewable energy sources more efficiently.

One of the key aspects of the grant-funded projects involves automating the grid. Automation allows for the dynamic adjustment of power distribution in response to changes in demand or supply, reducing the risk of blackouts or inefficiencies. For instance, if an area of the city experiences a surge in energy use, the grid can automatically reroute power from less-used areas or adjust the distribution to avoid overloading circuits. This kind of dynamic response is crucial for maintaining a stable and reliable electricity supply.

Moreover, the enhanced grid will be able to better incorporate renewable energy sources such as solar and wind power, reflecting British Columbia's clean-energy shift as well, which are increasingly important in Alberta’s energy mix. By utilizing a more flexible and responsive grid, Medicine Hat can make the most of renewable energy when it is available, reducing reliance on non-renewable sources.

Using AI to Reduce Energy Consumption

While improving the grid infrastructure is an essential first step, the real innovation comes in the form of using artificial intelligence (AI) to reduce energy consumption. Several of the grant winners are focused on developing AI-driven solutions that can predict energy demand patterns, optimize energy use in real-time, and encourage consumers to reduce unnecessary energy consumption.

AI can be used to analyze vast amounts of data from across the electricity grid, such as weather forecasts, historical energy usage, and real-time consumption data. This analysis can then be used to make predictions about future energy needs. For example, AI can predict when the demand for electricity will peak, allowing the grid operators to adjust supply ahead of time, ensuring a more efficient distribution of power. By predicting high-demand periods, AI can also assist in optimizing the use of renewable energy sources, ensuring that solar and wind power are utilized when they are most abundant.

In addition to grid management, AI can help consumers save energy by making smarter decisions about how and when to use electricity. For instance, AI-powered smart home devices can learn household routines and adjust heating, cooling, and appliance usage to reduce energy consumption without compromising comfort. By using data to optimize energy use, these technologies not only reduce costs for consumers but also decrease overall demand on the grid, leading to a more sustainable energy system.

The AI initiatives are also expected to assist businesses in reducing their carbon footprints. By using AI to monitor and optimize energy use, industrial and commercial enterprises can cut down on waste and reduce energy-related operational costs, while anticipating digital load growth signaled by an Alberta data centre agreement in the province. This has the potential to make Medicine Hat a more energy-efficient city, benefiting both residents and businesses alike.

A Sustainable Future

The integration of smart grid technology and AI-driven solutions is positioning Medicine Hat as a leader in sustainable energy practices. The city’s approach is focused not only on improving energy efficiency and reducing waste but also on making electricity consumption more manageable and adaptable in a rapidly changing world. These innovations are a crucial part of Medicine Hat's long-term strategy to reduce carbon emissions and meet climate goals while ensuring reliable and affordable energy for its residents.

In addition to the immediate benefits of these projects, the broader impact is likely to influence other municipalities across Canada, including insights from Toronto's electricity planning for rapid growth, and beyond. As the technology matures and proves successful, it could set a benchmark for other cities looking to modernize their energy grids and adopt sustainable, AI-driven solutions.

By investing in these forward-thinking technologies, Medicine Hat is not only future-proofing its energy infrastructure but also taking decisive steps toward a greener, more energy-efficient future. The collaboration between local government, technology providers, and the community marks a significant milestone in the city’s commitment to innovation and sustainability.

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US SF6 Emissions Decline as NOAA analysis and EPA mitigation show progress, with atmospheric measurements and Greenhouse Gas Reporting verifying reductions from the electric power grid; sulfur hexafluoride's extreme global warming potential underscores inventory improvements.

Key Points

A documented drop in US sulfur hexafluoride emissions, confirmed by NOAA atmospheric data and EPA reporting reforms.

✅ NOAA towers and aircraft show 2007-2018 decline

✅ EPA reporting and utility mitigation narrowed inventory gaps

✅ Winter leaks and servicing signal further reduction options

A new NOAA analysis shows U.S. emissions of the super-potent greenhouse gas sulfur hexafluoride (SF6) have declined between 2007-2018, likely due to successful mitigation efforts by the Environmental Protection Agency (EPA) and the electric power industry, with attention to SF6 in the power industry across global markets. 

At the same time, significant disparities that existed previously between NOAA’s estimates, which are based on atmospheric measurements, and EPA’s estimates, which are based on a combination of reported emissions and industrial activity, have narrowed following the establishment of the EPA's Greenhouse Gas Reporting Program. The findings, published in the journal Atmospheric Chemistry and Physics, also suggest how additional emissions reductions might be achieved. 

SF6 is most commonly used as an electrical insulator in high-voltage equipment that transmits and distributes electricity, and its emissions have been increasing worldwide as electric power systems expand, even as regions hit milestones like California clean energy surpluses in recent years. Smaller amounts of SF6 are used in semiconductor manufacturing and in magnesium production. 

SF6 traps 25,000 times more heat than carbon dioxide over a 100-year time scale for equal amounts of emissions, and while CO2 emissions flatlined in 2019 globally, that comparison underscores the potency of SF6. That means a relatively small amount of the gas can have a significant impact on climate warming. Because of its extremely large global warming potential and long atmospheric lifetime, SF6 emissions will influence Earth’s climate for thousands of years.

In this study, researchers from NOAA’s Global Monitoring Laboratory, as record greenhouse gas concentrations drive demand for better data, working with colleagues at EPA, CIRES, and the University of Maryland, estimated U.S. SF6 emissions for the first time from atmospheric measurements collected at a network of tall towers and aircraft in NOAA’s Global Greenhouse Gas Reference Network. The researchers provided an estimate of SF6 emissions independent from the EPA’s estimate, which is based on reported SF6 emissions for some industrial facilities and on estimated SF6 emissions for others.

“We observed differences between our atmospheric estimates and the EPA’s activity-based estimates,” said study lead author Lei Hu, a Global Monitoring Laboratory researcher who was a CIRES scientist at the time of the study. “But by closely collaborating with the EPA, we were able to identify processes potentially responsible for a significant portion of this difference, highlighting ways to improve emission inventories and suggesting additional emission mitigation opportunities, such as forthcoming EPA carbon capture rules for power plants, in the future.” 

In the 1990s, the EPA launched voluntary partnerships with the electric power, where power-sector carbon emissions are falling as generation shifts, magnesium, and semiconductor industries to reduce SF6 emissions after the United States recognized that its emissions were significant. In 2011, large SF6 -emitting facilities were required to begin tracking and reporting their emissions under the EPA Greenhouse Gas Reporting Program. 

Hu and her colleagues documented a decline of about 60 percent in U.S. SF6 emissions between 2007-2018, amid global declines in coal-fired power in some years—equivalent to a reduction of between 6 and 20 million metric tons of CO2 emissions during that time period—likely due in part to the voluntary emission reduction partnerships and the EPA reporting requirement. A more modest declining trend has also been reported in the EPA’s national inventories submitted annually under the United Nations Framework Convention on Climate Change. 

Examining the differences between the NOAA and EPA independent estimates, the researchers found that the EPA’s past inventory analyses likely underestimated SF6 emissions from electrical power transmission and distribution facilities, and from a single SF6 production plant in Illinois. According to Hu, the research collaboration has likely improved the accuracy of the EPA inventories. The 2023 draft of the EPA’s U.S. Greenhouse Gas Emissions and Sinks: 1990-2021 used the results of this study to support revisions to its estimates of SF6 emissions from electrical transmission and distribution. 

The collaboration may also lead to improvements in the atmosphere-based estimates, helping NOAA identify how to expand or rework its network to better capture emitting industries or areas with significant emissions, according to Steve Montzka, senior scientist at GML and one of the paper’s authors.

Hu and her colleagues also found a seasonal variation in SF6 emissions from the atmosphere-based analysis, with higher emissions in winter than in summer. Industry representatives identified increased servicing of electrical power equipment in the southern states and leakage from aging brittle sealing materials in the equipment in northern states during winter as likely explanations for the enhanced wintertime emissions—findings that suggest opportunities for further emissions reductions.

“This is a great example of the future of greenhouse gas emission tracking, where inventory compilers and atmospheric scientists work together to better understand emissions and shed light on ways to further reduce them,” said Montzka.

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American-Made Solar Prize Round 3 accelerates DOE-backed solar innovation, empowering entrepreneurs and domestic manufacturing with photovoltaics and grid integration support via National Laboratories, incubators, and investors to validate products, secure funding, and deploy backup power.

Key Points

A DOE challenge fast-tracking solar innovation to market readiness, boosting US manufacturing and grid integration.

✅ $50,000 awards to 20 teams for prototype validation

✅ Access to National Labs, incubators, investors, and mentors

✅ Focus on PV advances and grid integration solutions

The U.S. Department of Energy (DOE) announced the 20 competitors who have been invited to advance to the next phase of the American-Made Solar Prize Round 3, a competition designed to incentivize the nation’s entrepreneurs to strengthen American leadership in solar energy innovation and domestic manufacturing, a key front in the clean energy race today.

The American-Made Solar Prize is designed to help more American entrepreneurs thrive in the competitive global energy market. Each round of the prize brings new technologies to pre-commercial readiness in less than a year, ensuring new ideas enter the marketplace. As part of the competition, teams will have access to a network of DOE National Laboratories, technology incubators and accelerators, and related DOE efforts like next-generation building upgrades, venture capital firms, angel investors, and industry. This American-Made Network will help these competitors raise private funding, validate early-stage products, or test technologies in the field.

Each team will receive a $50,000 cash prize and become eligible to compete in the next phase of the competition. Through a rigorous evaluation process, teams were chosen based on the novelty of their ideas and how their solutions address a critical need of the solar industry. The teams were selected from 120 submissions and represent 11 states. These projects will tackle challenges related to new solar applications, like farming, as well as show how solar can be used to provide backup power when the grid goes down, aided by increasingly affordable batteries now reaching scale. Nine teams will advance solar photovoltaic technologies, and 11 will address challenges related to how solar integrates with the grid. The projects are as follows:

Photovoltaics:

• Durable Antireflective and Self-Cleaning Glass (Pittsburgh, PA)
• Pursuit Solar - More Power, Less Hassle (Denver, NC)
• PV WaRD (San Diego, CA)
• Remotely Deployed Solar Arrays (Charlottesville, VA)
• Robotics Changing the Landscape for Solar Farms (San Antonio, TX)
• TrackerSled (Chicago, IL)
• Transparent Polymer Barrier Films for PV (Bristol, PA)
• Solar for Snow (Duluth, MN)
• SolarWall Power Tower (Buffalo, NY)

Systems Integration:

• Affordable Local Solar Storage via Utility Virtual Power Plants (Parker, TX)
• Allbrand Solar Monitor (Detroit, MI)
• Beyond Monitoring – Next Gen Software and Hardware (Atlanta, GA)
• Democratizing Solar with Artificial Intelligence Energy Management (Houston, TX)
• Embedded, Multi-Function Maximum Power Point Tracker for Smart Modules (Las Vegas, NV)
• Evergrid: Keep Solar Flowing When the Grid Is Down (Livermore, CA)
• Inverter Health Scan (San Jose, CA)
• JuiceBox: Integrated Solar Electricity for Americans Transitioning out of Homelessness and Recovering from Natural Disasters (Claremont, CA)
• Low-Cost Parallel-Connected DC Power Optimizer (Blacksburg, VA)
• Powerfly: A Plug-and-Play Solar Monitoring Device (Berkeley, CA)
• Simple-Assembly Storage Kit (San Antonio, TX)

Read the descriptions of the projects to see how they contribute to efforts to improve solar and wind power worldwide.

Over the next six months, these teams will fast-track their efforts to identify, develop, and test disruptive solutions amid record solar and storage growth projected nationwide. During a national demonstration day at Solar Power International in September 2020, a panel of judges will select two final winners who will receive a $500,000 prize. Learn more at the American-Made Solar Prize webpage.

The American-Made Challenges incentivize the nation's entrepreneurs to strengthen American leadership in energy innovation and domestic manufacturing. These new challenges seek to lower the barriers U.S.-based innovators face in reaching manufacturing scale by accelerating the cycles of learning from years to weeks while helping to create partnerships that connect entrepreneurs to the private sector and the network of DOE’s National Laboratories across the nation, alongside recent wind energy awards that complement solar innovation.

Go here to learn how this work aligns with a tenfold solar expansion being discussed nationally.

https://www.energy.gov/eere/solar/solar-energy-technologies-office

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