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Brain Stimulation is transforming neuromodulation, from TMS and DBS to closed loop devices, targeting neural circuits for addiction, depression, Parkinsons, epilepsy, and chronic pain, powered by advanced imaging, AI analytics, and the NIH BRAIN Initiative.

Key Points

Brain stimulation uses pulses to modulate neural circuits, easing symptoms in depression, Parkinsons, and epilepsy.

✅ Noninvasive TMS and invasive DBS modulate specific brain circuits

✅ Closed loop systems adapt stimulation via real time biomarker detection

✅ Emerging uses: addiction, depression, Parkinsons, epilepsy, chronic pain

In June 2015, biology professor Colleen Hanlon went to a conference on drug dependence. As she met other researchers and wandered around a glitzy Phoenix resort’s conference rooms to learn about the latest work on therapies for drug and alcohol use disorders, she realized that out of the 730 posters, there were only two on brain stimulation as a potential treatment for addiction — both from her own lab at Wake Forest School of Medicine.

Just four years later, she would lead 76 researchers on four continents in writing a consensus article about brain stimulation as an innovative tool for addiction. And in 2020, the Food and Drug Administration approved a transcranial magnetic stimulation device to help patients quit smoking, a milestone for substance use disorders.

Brain stimulation is booming. Hanlon can attend entire conferences devoted to the study of what electrical currents do—including how targeted stimulation can improve short-term memory in older adults—to the intricate networks of highways and backroads that make up the brain’s circuitry. This expanding field of research is slowly revealing truths of the brain: how it works, how it malfunctions, and how electrical impulses, precisely targeted and controlled, might be used to treat psychiatric and neurological disorders.

In the last half-dozen years, researchers have launched investigations into how different forms of neuromodulation affect addiction, depression, loss-of-control eating, tremor, chronic pain, obsessive compulsive disorder, Parkinson’s disease, epilepsy, and more. Early studies have shown subtle electrical jolts to certain brain regions could disrupt circuit abnormalities — the miscommunications — that are thought to underlie many brain diseases, and help ease symptoms that persist despite conventional treatments.

The National Institute of Health’s massive BRAIN Initiative put circuits front and center, distributing $2.4 billion to researchers since 2013 to devise and use new tools to observe interactions between brain cells and circuits. That, in turn, has kindled interest from the private sector. Among the advances that have enhanced our understanding of how distant parts of the brain talk with one another are new imaging technology and the use of machine learning, much as utilities use AI to adapt to shifting electricity demand, to interpret complex brain signals and analyze what happens when circuits go haywire.

Still, the field is in its infancy, and even therapies that have been approved for use in patients with, for example, Parkinson’s disease or epilepsy, help only a minority of patients, and in a world where electricity drives pandemic readiness expectations can outpace evidence. “If it was the Bible, it would be the first chapter of Genesis,” said Michael Okun, executive director of the Norman Fixel Institute for Neurological Diseases at University of Florida Health.

As brain stimulation evolves, researchers face daunting hurdles, and not just scientific ones. How will brain stimulation become accessible to all the patients who need it, given how expensive and invasive some treatments are? Proving to the FDA that brain stimulation works, and does so safely, is complicated and expensive. Even with a swell of scientific momentum and an influx of funding, the agency has so far cleared brain stimulation for only a handful of limited conditions. Persuading insurers to cover the treatments is another challenge altogether. And outside the lab, researchers are debating nascent issues, such as the ethics of mind control, the privacy of a person’s brain data—concerns that echo efforts to develop algorithms to prevent blackouts during rising ransomware threats—and how to best involve patients in the study of the human brain’s far-flung regions.

Neurologist Martha Morrell is optimistic about the future of brain stimulation. She remembers the shocked reactions of her colleagues in 2004 when she left full-time teaching at Stanford (she still has a faculty appointment as a clinical professor of neurology) to direct clinical trials at NeuroPace, then a young company making neurostimulator systems to potentially treat epilepsy patients.

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“When I started working on this, everybody thought I was insane,” said Morrell. Nearly 20 years in, she sees a parallel between the story of jolting the brain’s circuitry and that of early implantable cardiac devices, such as pacemakers and defibrillators, which initially “were used as a last option, where all other medications have failed.” Now, “the field of cardiology is very comfortable incorporating electrical therapy, device therapy, into routine care. And I think that’s really where we’re going with neurology as well.”

Reaching a ‘slope of enlightenment’
Parkinson’s is, in some ways, an elder in the world of modern brain stimulation, and it shows the potential as well as the limitations of the technology. Surgeons have been implanting electrodes deep in the brains of Parkinson’s patients since the late 1990s, and in people with more advanced disease since the early 2000s.

In that time, it’s gone through the “hype cycle,” said Okun, the national medical adviser to the Parkinson’s Foundation since 2006. Feverish excitement and overinflated expectations have given way to reality, bringing scientists to a “slope of enlightenment,” he said. They have found deep brain stimulation to be very helpful for some patients with Parkinson’s, rendering them almost symptom-free by calming the shaking and tremors that medications couldn’t. But it doesn’t stop the progression of the disease, or resolve some of the problems patients with advanced Parkinson’s have walking, talking, and thinking.

In 2015, the same year Hanlon found only her lab’s research on brain stimulation at the addiction conference, Kevin O’Neill watched one finger on his left hand start doing something “funky.” One finger twitched, then two, then his left arm started tingling and a feeling appeared in his right leg, like it was about to shake but wouldn’t — a tremor.

“I was assuming it was anxiety,” O’Neill, 62, told STAT. He had struggled with anxiety before, and he had endured a stressful year: a separation, selling his home, starting a new job at a law firm in California’s Bay Area. But a year after his symptoms first began, O’Neill was diagnosed with Parkinson’s.

In the broader energy context, California has increasingly turned to battery storage to stabilize its strained grid.

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Doctors prescribed him pills that promote the release of dopamine, to offset the death of brain cells that produce this messenger molecule in circuits that control movement. But he took them infrequently because he worried about insomnia as a side effect. Walking became difficult — “I had to kind of think my left leg into moving” — and the labor lawyer found it hard to give presentations and travel to clients’ offices.

A former actor with an outgoing personality, he developed social anxiety and didn’t tell his bosses about his diagnosis for three years, and wouldn’t have, if not for two workdays in summer 2018 when his tremors were severe and obvious.

O’Neill’s tremors are all but gone since he began deep brain stimulation last May, though his left arm shakes when he feels tense.

It was during that period that he learned about deep brain stimulation, at a support group for Parkinson’s patients. “I thought, ‘I will never let anybody fuss with my brain. I’m not going to be a candidate for that,’” he recalled. “It felt like mad scientist science fiction. Like, are you kidding me?”

But over time, the idea became less radical, as O’Neill spoke to DBS patients and doctors and did his own research, and as his symptoms worsened. He decided to go for it. Last May, doctors at the University of California, San Francisco surgically placed three metal leads into his brain, connected by thin cords to two implants in his chest, just near the clavicles. A month later, he went into the lab and researchers turned the device on.

“That was a revelation that day,” he said. “You immediately — literally, immediately — feel the efficacy of these things. … You go from fully symptomatic to non-symptomatic in seconds.”

When his nephew pulled up to the curb to pick him up, O’Neill started dancing, and his nephew teared up. The following day, O’Neill couldn’t wait to get out of bed and go out, even if it was just to pick up his car from the repair shop.

In the year since, O’Neill’s walking has gone from “awkward and painful” to much improved, and his tremors are all but gone. When he is extra frazzled, like while renovating and moving into his new house overlooking the hills of Marin County, he feels tense and his left arm shakes and he worries the DBS is “failing,” but generally he returns to a comfortable, tremor-free baseline.

O’Neill worried about the effects of DBS wearing off but, for now, he can think “in terms of decades, instead of years or months,” he recalled his neurologist telling him. “The fact that I can put away that worry was the big thing.”

He’s just one patient, though. The brain has regions that are mostly uniform across all people. The functions of those regions also tend to be the same. But researchers suspect that how brain regions interact with one another — who mingles with whom, and what conversation they have — and how those mixes and matches cause complex diseases varies from person to person. So brain stimulation looks different for each patient.

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Each case of Parkinson’s manifests slightly differently, and that’s a bit of knowledge that applies to many other diseases, said Okun, who organized the nine-year-old Deep Brain Stimulation Think Tank, where leading researchers convene, review papers, and publish reports on the field’s progress each year.

“I think we’re all collectively coming to the realization that these diseases are not one-size-fits-all,” he said. “We have to really begin to rethink the entire infrastructure, the schema, the framework we start with.”

Brain stimulation is also used frequently to treat people with common forms of epilepsy, and has reduced the number of seizures or improved other symptoms in many patients. Researchers have also been able to collect high-quality data about what happens in the brain during a seizure — including identifying differences between epilepsy types. Still, only about 15% of patients are symptom-free after treatment, according to Robert Gross, a neurosurgery professor at Emory University in Atlanta.

“And that’s a critical difference for people with epilepsy. Because people who are symptom-free can drive,” which means they can get to a job in a place like Georgia, where there is little public transit, he said. So taking neuromodulation “from good to great,” is imperative, Gross said.

Renaissance for an ancient idea
Recent advances are bringing about what Gross sees as “almost a renaissance period” for brain stimulation, though the ideas that undergird the technology are millenia old. Neuromodulation goes back to at least ancient Egypt and Greece, when electrical shocks from a ray, called the “torpedo fish,” were recommended as a treatment for headache and gout. Over centuries, the fish zaps led to doctors burning holes into the brains of patients. Those “lesions” worked, somehow, but nobody could explain why they alleviated some patients’ symptoms, Okun said.

Perhaps the clearest predecessor to today’s technology is electroconvulsive therapy (ECT), which in a rudimentary and dangerous way began being used on patients with depression roughly 100 years ago, said Nolan Williams, director of the Brain Stimulation Lab at Stanford University.

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More modern forms of brain stimulation came about in the United States in the mid-20th century. A common, noninvasive approach is transcranial magnetic stimulation, which involves placing an electromagnetic coil on the scalp to transmit a current into the outermost layer of the brain. Vagus nerve stimulation (VNS), used to treat epilepsy, zaps a nerve that contributes to some seizures.

The most invasive option, deep brain stimulation, involves implanting in the skull a device attached to electrodes embedded in deep brain regions, such as the amygdala, that can’t be reached with other stimulation devices. In 1997, the FDA gave its first green light to deep brain stimulation as a treatment for tremor, and then for Parkinson’s in 2002 and the movement disorder dystonia in 2003.

Even as these treatments were cleared for patients, though, what was happening in the brain remained elusive. But advanced imaging tools now let researchers peer into the brain and map out networks — a recent breakthrough that researchers say has propelled the field of brain stimulation forward as much as increased funding has, paralleling broader efforts to digitize analog electrical systems across industry. Imaging of both human brains and animal models has helped researchers identify the neuroanatomy of diseases, target brain regions with more specificity, and watch what was happening after electrical stimulation.

Another key step has been the shift from open-loop stimulation — a constant stream of electricity — to closed-loop stimulation that delivers targeted, brief jolts in response to a symptom trigger. To make use of the futuristic technology, labs need people to develop artificial intelligence tools, informed by advances in machine learning for the energy transition, to interpret large data sets a brain implant is generating, and to tailor devices based on that information.

“We’ve needed to learn how to be data scientists,” Morrell said.

Affinity groups, like the NIH-funded Open Mind Consortium, have formed to fill that gap. Philip Starr, a neurosurgeon and developer of implantable brain devices at the University of California at San Francisco Health system, leads the effort to teach physicians how to program closed-loop devices, and works to create ethical standards for their use. “There’s been extraordinary innovation after 20 years of no innovation,” he said.

The BRAIN Initiative has been critical, several researchers told STAT. “It’s been a godsend to us,” Gross said. The NIH’s Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative was launched in 2013 during the Obama administration with a $50 million budget. BRAIN now spends over $500 million per year. Since its creation, BRAIN has given over 1,100 awards, according to NIH data. Part of the initiative’s purpose is to pair up researchers with medical technology companies that provide human-grade stimulation devices to the investigators. Nearly three dozen projects have been funded through the investigator-devicemaker partnership program and through one focused on new implantable devices for first-in-human use, according to Nick Langhals, who leads work on neurological disorders at the initiative.

The more BRAIN invests, the more research is spawned. “We learn more about what circuits are involved … which then feeds back into new and more innovative projects,” he said.

Many BRAIN projects are still in early stages, finishing enrollment or small feasibility studies, Langhals said. Over the next couple of years, scientists will begin to see some of the fruits of their labor, which could lead to larger clinical trials, or to companies developing more refined brain stimulation implants, Langhals said.

Money from the National Institutes of Mental Health, as well as the NIH’s Helping to End Addiction Long-term (HEAL), has similarly sweetened the appeal of brain stimulation, both for researchers and industry. “A critical mass” of companies interested in neuromodulation technology has mushroomed where, for two decades, just a handful of companies stood, Starr said.

More and more, pharmaceutical and digital health companies are looking at brain stimulation devices “as possible products for their future,” said Linda Carpenter, director of the Butler Hospital TMS Clinic and Neuromodulation Research Facility.

‘Psychiatry 3.0’
The experience with using brain stimulation to stop tremors and seizures inspired psychiatrists to begin exploring its use as a potentially powerful therapy for healing, or even getting ahead of, mental illness.

In 2008, the FDA approved TMS for patients with major depression who had tried, and not gotten relief from, drug therapy. “That kind of opened the door for all of us,” said Hanlon, a professor and researcher at the Center for Research on Substance Use and Addiction at Wake Forest School of Medicine. The last decade saw a surge of research into how TMS could be used to reset malfunctioning brain circuits involved in anxiety, depression, obsessive-compulsive disorder, and other conditions.

“We’re certainly entering into what a lot of people are calling psychiatry 3.0,” Stanford’s Williams said. “Whereas the first iteration was Freud and all that business, the second one was the psychopharmacology boom, and this third one is this bit around circuits and stimulation.”

Drugs alleviate some patients’ symptoms while simultaneously failing to help many others, but psychopharmacology clearly showed “there’s definitely a biology to this problem,” Williams said — a biology that in some cases may be more amenable to a brain stimulation.

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The exact mechanics of what happens between cells when brain circuits … well, short-circuit, is unclear. Researchers are getting closer to finding biomarkers that warn of an incoming depressive episode, or wave of anxiety, or loss of impulse control. Those brain signatures could be different for every patient. If researchers can find molecular biomarkers for psychiatric disorders — and find ways to preempt those symptoms by shocking particular brain regions — that would reshape the field, Williams said.

Not only would disease-specific markers help clinicians diagnose people, but they could help chip away at the stigma that paints mental illness as a personal or moral failing instead of a disease. That’s what happened for epilepsy in the 1960s, when scientific findings nudged the general public toward a deeper understanding of why seizures happen, and it’s “the same trajectory” Williams said he sees for depression.

His research at the Stanford lab also includes work on suicide, and obsessive-compulsive disorder, which the FDA said in 2018 could be treated using noninvasive TMS. Williams considers brain stimulation, with its instantaneity, to be a potential breakthrough for urgent psychiatric situations. Doctors know what to do when a patient is rushed into the emergency room with a heart attack or a stroke, but there is no immediate treatment for psychiatric emergencies, he said. Williams wonders: What if, in the future, a suicidal patient could receive TMS in the emergency room and be quickly pulled out of their depressive mental spiral?

Researchers are also actively investigating the brain biology of addiction. In August 2020, the FDA approved TMS for smoking cessation, the first such OK for a substance use disorder, which is “really exciting,” Hanlon said. Although there is some nuance when comparing substance use disorders, a primal mechanism generally defines addiction: the eternal competition between “top-down” executive control functions and “bottom-up” cravings. It’s the same process that is at work when one is deciding whether to eat another cookie or abstain — just exacerbated.

Hanlon is trying to figure out if the stop and go circuits are in the same place for all people, and whether neuromodulation should be used to strengthen top-down control or weaken bottom-up cravings. Just as brain stimulation can be used to disrupt cellular misfiring, it could also be a tool for reinforcing helpful brain functions, or for giving the addicted brain what it wants in order to curb substance use.

Evidence suggests many people with schizophrenia smoke cigarettes (a leading cause of early death for this population) because nicotine reduces the “hyperconnectivity” that characterizes the brains of people with the disease, said Heather Ward, a research fellow at Boston’s Beth Israel Deaconess Medical Center. She suspects TMS could mimic that effect, and therefore reduce cravings and some symptoms of the disease, and she hopes to prove that in a pilot study that is now enrolling patients.

If the scientific evidence proves out, clinicians say brain stimulation could be used alongside behavioral therapy and drug-based therapy to treat substance use disorders. “In the end, we’re going to need all three to help people stay sober,” Hanlon said. “We’re adding another tool to the physician’s toolbox.”

Decoding the mysteries of pain
Afavorable outcome to the ongoing research, one that would fling the doors to brain stimulation wide open for patients with myriad disorders, is far from guaranteed. Chronic pain researchers know that firsthand.

Chronic pain, among the most mysterious and hard-to-study medical phenomena, was the first use for which the FDA approved deep brain stimulation, said Prasad Shirvalkar, an assistant professor of anesthesiology at UCSF. But when studies didn’t pan out after a year, the FDA retracted its approval.

Shirvalkar is working with Starr and neurosurgeon Edward Chang on a profoundly complex problem: “decoding pain in the brain states, which has never been done,” as Starr told STAT.

Part of the difficulty of studying pain is that there is no objective way to measure it. Much of what we know about pain is from rudimentary surveys that ask patients to rate how much they’re hurting, on a scale from zero to 10.

Using implantable brain stimulation devices, the researchers ask patients for a 0-to-10 rating of their pain while recording up-and-down cycles of activity in the brain. They then use machine learning to compare the two streams of information and see what brain activity correlates with a patient’s subjective pain experience. Implantable devices let researchers collect data over weeks and months, instead of basing findings on small snippets of information, allowing for a much richer analysis.

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Smart Street Lighting NY delivers Syracuse-wide LED retrofits with smart controls, Wi-Fi, and sensors, saving $3.3 million annually and cutting nearly 8,500 tons of greenhouse gases, improving energy efficiency, safety, and maintenance.

Key Points

A NYPA-backed program replacing streetlights with LED and controls to cut costs and emissions across New York by 2025.

✅ Syracuse replaced 17,500 fixtures with LED and smart controls.

✅ Saves $3.3M yearly; cuts 8,500 tons CO2e; improves safety.

✅ NYPA financing and maintenance support enable Smart City sensors.

Governor Andrew M. Cuomo today announced the completed installation of energy-efficient LED streetlights throughout the City of Syracuse as part of the Governor's Smart Street Lighting NY program. Syracuse, through a partnership with the New York Power Authority, replaced all of its streetlights with the most comprehensive set of innovative Smart City technologies in the state, saving the city $3.3 million annually and reducing greenhouse gas emissions by nearly 8,500 tons a year--the equivalent of taking more than 1,660 cars off the road. New York has now replaced more than 100,000 of its streetlights with LED fixtures, reflecting broader state renewable ambitions across the country, a significant milestone in the Governor's goal to replace at least 500,000 streetlights with LED technology by 2025 under Smart Street Lighting NY.

Today's announcement directly supports the goals of the Climate Leadership and Community Protection Act, the most aggressive climate change law in the nation, through the increased use of energy efficiency, exemplified by Seattle City Light's program that helps customers reduce bills, to annually reduce electricity demand by three percent--equivalent to 1.8 million New York households--by 2025.

"As we move further into the 21st century, it's critical we make the investments necessary for building smarter, more sustainable communities and that's exactly what we are doing in Syracuse," Governor Cuomo said. "Not only is the Smart Street Lighting NY program reducing the city's carbon footprint, but millions of taxpayer dollars will be saved thanks to a reduction in utility costs. Climate change is not going away and it is these types of smart, forward-thinking programs which will help communities build towards the future."

The more than $16 million cutting-edge initiative, implemented by NYPA, includes the replacement of approximately 17,500 streetlights throughout the city with SMART, LED fixtures, improving lighting quality and neighborhood safety while saving energy and maintenance costs. The city's streetlights are now outfitted with SMART controls that provide programmed dimming ability, energy metering, fault monitoring, and additional tools for emergency services through on-demand lighting levels.

"The completion of the replacement of LED streetlights in Syracuse is part of our overall efforts to upgrade more than 100,000 streetlights across the state," Lieutenant Governor Kathy Hochul said. "The new lights will save the city $3.3 million annually, helping to reduce cost for energy and maintenance and reducing greenhouse gas emissions. These new light fixtures will also help to improve safety and provide additional tools for emergency services. The conversion of streetlights statewide to high-tech LED fixtures will help local governments and taxpayers save money, while increasing efficiency and safety as we work to build back better and stronger for the future."

NYPA provided Syracuse with a $500,000 Smart Cities grant for the project. The city utilized the additional funding to support special features on the streetlights that demonstrate the latest in Smart City technologies, focused on digital connectivity, environmental monitoring and public safety. These features are expected to be fully implemented in early 2021.

Connectivity: The city is planning to deploy exterior Wi-Fi at community centers and public spaces, including in neighborhoods in need of expanded digital network services.

Environmental Monitoring: Ice and snow detection systems that assist city officials in pinpointing streets covered in ice or snow and require attention to prevent accidents and improve safety. The sensors provide data that can tell the city where salt trucks and plows are most needed instead of directing trucks to drive pre-determined routes. Flood reporting and monitoring systems will also be installed.

Public Safety and Property Protection: Illegal dumping and vandalism detection sensors will be installed at strategic locations to help mitigate these disturbances. Vacant house monitoring will also be deployed by the city. The system can monitor for potential fires, detect motion and provide temperature and humidity readings of vacant homes. Trash bin sensors will be installed at various locations throughout the city that will detect when a trash bin is full and alert local officials for pick-up.

NYPA President and CEO Gil C. Quiniones said, "Syracuse is truly a pioneer in its exploration of using SMART technologies to improve public services and the Power Authority was thrilled to partner with the city on this innovative initiative. Helping our customers bring their streetlights into the future further advances NYPA's reputation as a first-mover in the energy-sector."

New York State Public Service Commission Chair John B. Rhodes said, "Governor Cuomo signed legislation making it easier for municipalities to purchase and upgrade their street lighting systems. With smart projects like these, cities such as Syracuse can install state-of-the-art, energy efficient lights and take control over their energy use, lower costs to taxpayers and protect the environment."

Mayor Ben Walsh said, "Governor Cuomo and the New York Power Authority have helped power Syracuse to the front of the pack of cities in the U.S., leveraging SMART LED lighting to save money and make life better for our residents. Because of our progress, even in the midst of a global pandemic, the Syracuse Surge, our strategy for inclusive growth in the New Economy, continues to move forward. Syracuse and all of New York State are well positioned to lead the nation and the world because of NYPA's support and the Governor's leadership."

To date, NYPA has installed more than 50,000 LED streetlights statewide, with more than 115,000 lighting replacements currently implemented. Some of the cities and towns that have already converted to LED lights, in collaboration with NYPA, include Albany, Rochester, and White Plains. In addition, the Public Service Commission, whose ongoing retail energy markets review informs consumer protections, in conjunction with investor-owned utilities around the state, has facilitated the installation of more than 50,000 additional LED lights.

The NYPA Board of Trustees, in support of the Smart Street Lighting NY program, authorized at its September meeting the expenditure of $150 million over the next five years to secure the services of Candela Systems in Hawthorne, D&M Contracting in Elmsford and E-J Electric T&D in Wallingford, Connecticut, while in other regions, city officials take a clean energy message to Georgia Power and the PSC to spur utility action. All three firms will work on behalf of NYPA to continue to implement LED lighting replacements throughout New York State to meet the Governor's goal of 500,000 LED streetlights installed by 2025.

Smart Street Lighting NY: Energy Efficient and Economically Advantageous

NYPA is working with cities, towns, villages and counties throughout New York to fully manage and implement a customer's transition to LED streetlight technology. NYPA provides upfront financing for the project, and during emergencies, New York's utility disconnection moratorium helps protect customers while payments to NYPA are made in the years following from the cost-savings created by the reduced energy use of the LED streetlights, which are 50 to 65 percent more efficient than alternative street lighting options.

Through this statewide street lighting program, NYPA's government customers are provided a wide-array of lighting options to help meet their individual needs, including specifications on the lights to incorporate SMART technology, which can be used for dozens of other functions, such as cameras and other safety features, weather sensors, Wi-Fi and energy meters.

To further advance the Governor's effort to replace existing New York street lighting, in 2019, NYPA launched a new maintenance service to provide routine and on-call maintenance services for LED street lighting fixtures installed by NYPA throughout the state, and during the COVID-19 response, New York and New Jersey suspended utility shut-offs to protect customers and maintain essential services. The new service is available to municipalities that have engaged NYPA to implement a LED street lighting conversion and have elected to install an asset management controls system on their street lighting system, reducing the number of failures and repairs needed after installation is complete.

To learn more about the Smart Street Lighting NY program, visit the program webpage on NYPA's website.

New York State's Nation-Leading Climate Plan

Governor Cuomo's nation-leading climate plan is the most aggressive climate and clean energy initiative in the nation, calling for an orderly and just transition to clean energy that creates jobs and continues fostering a green economy as New York State builds back better as it recovers from the COVID-19 pandemic. Enshrined into law through the CLCPA, New York is on a path to reach its mandated goals of economy wide carbon neutrality and achieving a zero-carbon emissions electricity sector by 2040, similar to Ontario's clean electricity regulations that advance decarbonization, faster than any other state. It builds on New York's unprecedented ramp-up of clean energy including a $3.9 billion investment in 67 large-scale renewable projects across the state, the creation of more than 150,000 jobs in New York's clean energy sector, a commitment to develop over 9,000 megawatts of offshore wind by 2035, and 1,800 percent growth in the distributed solar sector since 2011. New York's Climate Action Council is working on a scoping plan to build on this progress and reduce greenhouse gas emissions by 85 percent from 1990 levels by 2050, while ensuring that at least 40 percent of the benefits of clean energy investments benefit disadvantaged communities, and advancing progress towards the state's 2025 energy efficiency target of reducing on-site energy consumption by 185 TBtus.

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Bruce Power Unit 6 refurbishment replaces major reactor components, shifting supply to hydroelectric and natural gas, sustaining Ontario jobs, extending plant life to 2064, and managing radioactive waste along Lake Huron, on-time and on-budget.

Key Points

A 4-year, $2.1B reactor overhaul within a 13-year, $13B program to extend plant life to 2064 and support Ontario jobs.

✅ Unit 6 offline 4 years; capacity shift to hydro and gas

✅ Part of 13-year, $13B program; extends life to 2064

✅ Creates jobs; manages radioactive waste at Lake Huron

The world’s largest nuclear fleet, became a little smaller Monday morning. Bruce Power has began the process to take Unit 6 offline to begin a $2.1 billion project, supported by manufacturing contracts with key suppliers, to replace all the major components of the reactor.

The reactor, which produces enough electricity to power 750,000 homes and reflects higher output after upgrades across the site, will be out of service for the next four years.

In its place, hydroelectric power and natural gas will be utilized more.

Taking Unit 6 offline is just the “official” beginning of a 13-year, $13-billion project to refurbish six of Bruce Power’s eight nuclear reactors, as Ontario advances the Pickering B refurbishment as well on its grid.

Work to extend the life of the nuclear plant started in 2016, and the company recently marked an operating record while supporting pandemic response, but the longest and hardest part of the project - the major component replacement - begins now.

“The Unit 6 project marks the next big step in a long campaign to revitalize this site,” says Mike Rencheck, Bruce Power’s president and CEO.

The overall project is expected to last until 2033, and mirrors life extensions at Pickering supporting Ontario’s zero-carbon goals, but will extend the life of the nuclear plant until 2064.

Extending the life of the Bruce Power nuclear plant will sustain 22,000 jobs in Ontario and add $4 billion a year in economic activity to the province, say Bruce Power officials.

About 2,000 skilled tradespeople will be required for each of the six reactor refurbishments - 4,200 people already work at the sprawling nuclear plant near Kincardine.

It will also mean tons of radioactive nuclear waste will be created that is currently stored in buildings on the Bruce Power site, along the shores of Lake Huron.

Bruce Power restarted two reactors back in 2012, and in later years doubled a PPE donation to support regional health partners. That project was $2-billion over-budget, and three years behind schedule.

Bruce Power officials say this refurbishment project is currently on-time and on-budget.

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FERC Transmission Rule accelerates grid modernization and interregional high-voltage lines, enabling renewable energy integration, load balancing, and reliability to advance net-zero goals while strengthening resilience, capacity expansion, and decarbonization across U.S. regional transmission organizations.

Key Points

A federal policy mandating interregional grid planning and cost sharing to expand high-voltage lines for renewables.

✅ Expands interregional high-voltage transmission capacity

✅ Improves reliability, resilience, and load balancing

✅ Aligns cost allocation and long-term planning for renewables

On May 13th, 2024, the US took a monumental step towards its clean energy goals. The Federal Energy Regulatory Commission (FERC) approved a long-awaited rule designed to significantly expand the transmission of renewable energy across the nation's power grid, a US grid overhaul that many advocates say was overdue. This decision aligns with President Biden's ambitious plan to achieve net-zero carbon emissions by 2050, with renewable energy playing a central role.

The new rule tackles a critical bottleneck hindering the widespread adoption of renewables – transmission infrastructure. Unlike traditional power plants like coal or natural gas that run constantly, solar and wind power generation fluctuates with weather conditions. This variability poses a challenge for the existing grid, which is not designed to efficiently handle large-scale integration of these intermittent sources, helping explain why the grid isn't 100% renewable today.

The FERC rule aims to address this by promoting the construction of new, high-voltage transmission lines, particularly those connecting different regions, where grid limitations in the Pacific Northwest have highlighted the need for better interregional transfers. This improved connectivity would allow for a more strategic distribution of renewable energy. Imagine solar energy harnessed in the sun-drenched Southwest being transmitted eastward to meet peak demand during hot summer days on the Atlantic Coast.

The benefits of this expanded transmission network are multifaceted. First, it unlocks the full potential of renewable resources by allowing for their efficient utilization across the country, a trend consistent with wind and solar surpassing coal in U.S. generation. Abundant wind power in the Midwest could be utilized on the West Coast, while surplus solar energy from the South could supplement demand in the Northeast.

Second, a more robust grid with a higher capacity for renewables reduces reliance on fossil fuel-based power plants and complements other ways to meet decarbonization goals across sectors. This translates to cleaner air and a significant reduction in greenhouse gas emissions, contributing to the fight against climate change.

Third, a modernized grid with improved long-distance transmission bolsters the nation's energy security. Extreme weather events, a growing concern due to climate change, can disrupt energy production in specific regions. This interconnected grid would provide a buffer, ensuring a more reliable and resilient power supply and helping put regions on the road to 100% renewables even during adverse weather conditions.

The FERC's decision is a win for environmental groups and the renewable energy industry. They see it as a critical step towards a cleaner energy future and a significant driver of job creation in the construction and maintenance of new transmission lines. However, concerns have been raised by some stakeholders, particularly investor-owned utilities. They worry about the potential cost burden associated with building these expansive new lines, and recent reports of stalled grid spending underscore those concerns and the need for efficient cost allocation mechanisms. Striking a balance between efficiency, affordability, and environmental responsibility will be crucial for the successful implementation of this policy.

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California Blackouts expose grid reliability risks as PG&E deenergizes lines during high winds. Mandated solar and wind displace dispatchable natural gas, straining ISO load balancing, transmission maintenance, and battery storage planning amid escalating wildfire liability.

Key Points

California grid shutoffs stem from wildfire risk, renewables, and deferred transmission maintenance under mandates.

✅ PG&E deenergizes lines to reduce wildfire ignition during high winds.

✅ Mandated solar and wind displace dispatchable gas, raising balancing costs.

✅ Storage, reliability pricing, and grid upgrades are needed to stabilize supply.

California is again facing widespread blackouts this season. Politicians are scrambling to assign blame to Pacific Gas & Electric (PG&E) a heavily regulated utility that can only do what the politically appointed regulators say it can do. In recent years this has meant building a bunch of solar and wind projects, while decommissioning reliable sources of power and scrimping on power line maintenance and upgrades.

The blackouts are connected with the legal liability from old and improperly maintained power lines being blamed for sparking fires—in hopes that deenergizing the grid during high winds reduces the likelihood of fires. 

How did the land of Silicon Valley and Hollywood come to have developing world electricity?

California’s Democratic majority, from Gov. Gavin Newsom to the solidly progressive legislature, to the regulators they appoint, have demanded huge increases in renewable energy. Renewable electricity targets have been pushed up, and policymakers are weighing a revamp of electricity rates to clean the grid, with the state expected to reach a goal of 33% of its power from renewable sources, mostly solar and wind, by next year, and 60% of its electricity from renewables by 2030.

In 2018, 31% of the electricity Californians purchased at the retail level came from approved renewables. But when rooftop solar is added to the mix, about 34% of California’s electricity came from renewables in 2018. Solar photovoltaic (PV) systems installed “behind-the-meter” (BTM) displace utility-supplied generation, but still affect the grid at large, as electricity must be generated at the moment it is consumed. PV installations in California grew 20% from 2017 to 2018, benefiting from the state’s Self-Generation Incentive Program that offers hefty rebates through 2025, as well as a 30% federal tax credit.

Increasingly large amounts of periodic, renewable power comes at a price—the more there is, the more difficult it is to keep the power grid stable and energized. Since electricity must be consumed the instant it is generated, and because wind and solar produce what they will whenever they do, the rest of the grid’s power producers—mostly natural gas plants—have to make up any differences between supply and immediate demand. This load balancing is vital, because without it, the grid will crash and widespread blackouts will ensue.

California often produces a surplus of mandated solar and wind power, generated for 5 to 8 cents per kilowatt hour. This power displaces dispatchable power from natural gas, coal and nuclear plants, resulting in reliable power plants spending less time online and driving up electricity prices as the plants operate for fewer hours of the day. Subsidized and mandated solar power, along with a law passed in California in 2006 (SB 1638) that bans the renewal of coal-fired power contracts, has placed enormous economic pressure on the Western region’s coal power plants—among them, the nation’s largest, Navajo Generating Station. As these plants go off line, the Western power grid will become increasingly unstable. Eventually, the states that share their electric power in the Western Interconnect may have to act to either subsidize dispatchable power or place a value on reliability—something that was taken for granted in the growth of the America’s electrical system and its regulatory scheme.

California law regarding electricity explicitly states that “a violation of the Public Utilities Act is a crime” and that it is “…the intent of the Legislature to provide for the evolution of the ISO (California’s Independent System Operator—the entity that manages California’s grid) into a regional organization to promote the development of regional electricity transmission markets in the western states.” In other words, California expects to dictate how the Western grid operates.

One last note as to what drives much of California’s energy policy: politics. California State Senator Kevin de León (the author served with him in the State Assembly) drafted SB 350, the Clean Energy and Pollution Reduction Act. It became law in 2015. Sen. de León followed up with SB 100 in 2018, signed into law weeks before the 2018 election. SB 100 increased California’s renewable portfolio standard to 60% by 2030 and further requires all the state’s electricity to come from carbon-free sources by 2045, a capstone of the state’s climate policies that factor into the blackout debate.  

Sen. de León used his environmental credentials to burnish his run for the U.S. Senate against Sen. Dianne Feinstein, eventually capturing the endorsements of the California Democratic Party and billionaire environmentalist Tom Steyer, now running for president. Feinstein and de León advanced to the general in California’s jungle primary, where Feinstein won reelection 54.2% to 45.8%.

De León may have lost his race for the U.S. Senate, but his legacy will live on in increasingly unaffordable electricity and blackouts, not only in California, but in the rest of the Western United States—unless federal or state regulators begin to place a value on reliability. This could be done by requiring utility scale renewable power providers to guarantee dispatchable power, as policymakers try to avert a looming shortage of firm capacity, either through purchase agreements with thermal power plants or through the installation of giant and costly battery farms or other energy storage means.

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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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