Evelyn Reynolds

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    in Energy

    Can the world meet global climate targets without coordinated global action?

    Like many of its predecessors, the 2021 United Nations Climate Change Conference (COP26) in Glasgow, Scotland concluded with bold promises on international climate action aimed at keeping global warming well below 2 degrees Celsius, but few concrete plans to ensure that those promises will be kept. While it’s not too late for the Paris Agreement’s nearly 200 signatory nations to take concerted action to cap global warming at 2 C — if not 1.5 C — there is simply no guarantee that they will do so. If they fail, how much warming is the Earth likely to see in the 21st century and beyond?

    A new study by researchers at the MIT Joint Program on the Science and Policy of Global Change and the Shell Scenarios Team projects that without a globally coordinated mitigation effort to reduce greenhouse gas emissions, the planet’s average surface temperature will reach 2.8 C, much higher than the “well below 2 C” level to which the Paris Agreement aspires, but a lot lower than what many widely used “business-as-usual” scenarios project.  

    Recognizing the limitations of such scenarios, which generally assume that historical trends in energy technology choices and climate policy inaction will persist for decades to come, the researchers have designed a “Growing Pressures” scenario that accounts for mounting social, technological, business, and political pressures that are driving a transition away from fossil-fuel use and toward a low-carbon future. Such pressures have already begun to expand low-carbon technology and policy options, which, in turn, have escalated demand to utilize those options — a trend that’s expected to self-reinforce. Under this scenario, an array of future actions and policies cause renewable energy and energy storage costs to decline; fossil fuels to be phased out; electrification to proliferate; and emissions from agriculture and industry to be sharply reduced.

    Incorporating these growing pressures in the MIT Joint Program’s integrated model of Earth and human systems, the study’s co-authors project future energy use, greenhouse gas emissions, and global average surface temperatures in a world that fails to implement coordinated, global climate mitigation policies, and instead pursues piecemeal actions at mostly local and national levels.

    “Few, if any, previous studies explore scenarios of how piecemeal climate policies might plausibly unfold into the future and impact global temperature,” says MIT Joint Program research scientist Jennifer Morris, the study’s lead author. “We offer such a scenario, considering a future in which the increasingly visible impacts of climate change drive growing pressure from voters, shareholders, consumers, and investors, which in turn drives piecemeal action by governments and businesses that steer investments away from fossil fuels and toward low-carbon alternatives.”

    In the study’s central case (representing the mid-range climate response to greenhouse gas emissions), fossil fuels persist in the global energy mix through 2060 and then slowly decline toward zero by 2130; global carbon dioxide emissions reach near-zero levels by 2130 (total greenhouse gas emissions decline to near-zero by 2150); and global surface temperatures stabilize at 2.8 C by 2150, 2.5 C lower than a widely used “business-as-usual” projection. The results appear in the journal Environmental Economics and Policy Studies.

    Such a transition could bring the global energy system to near-zero emissions, but more aggressive climate action would be needed to keep global temperatures well below 2 C in alignment with the Paris Agreement.

    “While we fully support the need to decarbonize as fast as possible, it is critical to assess realistic alternative scenarios of world development,” says Joint Program Deputy Director Sergey Paltsev, a co-author of the study. “We investigate plausible actions that could bring society closer to the long-term goals of the Paris Agreement. To actually meet those goals will require an accelerated transition away from fossil energy through a combination of R&D, technology deployment, infrastructure development, policy incentives, and business practices.”

    The study was funded by government, foundation, and industrial sponsors of the MIT Joint Program, including Shell International Ltd. More

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    Using artificial intelligence to find anomalies hiding in massive datasets

    Identifying a malfunction in the nation’s power grid can be like trying to find a needle in an enormous haystack. Hundreds of thousands of interrelated sensors spread across the U.S. capture data on electric current, voltage, and other critical information in real time, often taking multiple recordings per second.

    Researchers at the MIT-IBM Watson AI Lab have devised a computationally efficient method that can automatically pinpoint anomalies in those data streams in real time. They demonstrated that their artificial intelligence method, which learns to model the interconnectedness of the power grid, is much better at detecting these glitches than some other popular techniques.

    Because the machine-learning model they developed does not require annotated data on power grid anomalies for training, it would be easier to apply in real-world situations where high-quality, labeled datasets are often hard to come by. The model is also flexible and can be applied to other situations where a vast number of interconnected sensors collect and report data, like traffic monitoring systems. It could, for example, identify traffic bottlenecks or reveal how traffic jams cascade.

    “In the case of a power grid, people have tried to capture the data using statistics and then define detection rules with domain knowledge to say that, for example, if the voltage surges by a certain percentage, then the grid operator should be alerted. Such rule-based systems, even empowered by statistical data analysis, require a lot of labor and expertise. We show that we can automate this process and also learn patterns from the data using advanced machine-learning techniques,” says senior author Jie Chen, a research staff member and manager of the MIT-IBM Watson AI Lab.

    The co-author is Enyan Dai, an MIT-IBM Watson AI Lab intern and graduate student at the Pennsylvania State University. This research will be presented at the International Conference on Learning Representations.

    Probing probabilities

    The researchers began by defining an anomaly as an event that has a low probability of occurring, like a sudden spike in voltage. They treat the power grid data as a probability distribution, so if they can estimate the probability densities, they can identify the low-density values in the dataset. Those data points which are least likely to occur correspond to anomalies.

    Estimating those probabilities is no easy task, especially since each sample captures multiple time series, and each time series is a set of multidimensional data points recorded over time. Plus, the sensors that capture all that data are conditional on one another, meaning they are connected in a certain configuration and one sensor can sometimes impact others.

    To learn the complex conditional probability distribution of the data, the researchers used a special type of deep-learning model called a normalizing flow, which is particularly effective at estimating the probability density of a sample.

    They augmented that normalizing flow model using a type of graph, known as a Bayesian network, which can learn the complex, causal relationship structure between different sensors. This graph structure enables the researchers to see patterns in the data and estimate anomalies more accurately, Chen explains.

    “The sensors are interacting with each other, and they have causal relationships and depend on each other. So, we have to be able to inject this dependency information into the way that we compute the probabilities,” he says.

    This Bayesian network factorizes, or breaks down, the joint probability of the multiple time series data into less complex, conditional probabilities that are much easier to parameterize, learn, and evaluate. This allows the researchers to estimate the likelihood of observing certain sensor readings, and to identify those readings that have a low probability of occurring, meaning they are anomalies.

    Their method is especially powerful because this complex graph structure does not need to be defined in advance — the model can learn the graph on its own, in an unsupervised manner.

    A powerful technique

    They tested this framework by seeing how well it could identify anomalies in power grid data, traffic data, and water system data. The datasets they used for testing contained anomalies that had been identified by humans, so the researchers were able to compare the anomalies their model identified with real glitches in each system.

    Their model outperformed all the baselines by detecting a higher percentage of true anomalies in each dataset.

    “For the baselines, a lot of them don’t incorporate graph structure. That perfectly corroborates our hypothesis. Figuring out the dependency relationships between the different nodes in the graph is definitely helping us,” Chen says.

    Their methodology is also flexible. Armed with a large, unlabeled dataset, they can tune the model to make effective anomaly predictions in other situations, like traffic patterns.

    Once the model is deployed, it would continue to learn from a steady stream of new sensor data, adapting to possible drift of the data distribution and maintaining accuracy over time, says Chen.

    Though this particular project is close to its end, he looks forward to applying the lessons he learned to other areas of deep-learning research, particularly on graphs.

    Chen and his colleagues could use this approach to develop models that map other complex, conditional relationships. They also want to explore how they can efficiently learn these models when the graphs become enormous, perhaps with millions or billions of interconnected nodes. And rather than finding anomalies, they could also use this approach to improve the accuracy of forecasts based on datasets or streamline other classification techniques.

    This work was funded by the MIT-IBM Watson AI Lab and the U.S. Department of Energy. More

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    Tuning in to invisible waves on the JET tokamak

    Research scientist Alex Tinguely is readjusting to Cambridge and Boston.

    As a postdoc with the Plasma Science and Fusion Center (PSFC), the MIT graduate spent the last two years in Oxford, England, a city he recalls can be traversed entirely “in the time it takes to walk from MIT to Harvard.” With its ancient stone walls, cathedrals, cobblestone streets, and winding paths, that small city was his home base for a big project: JET, a tokamak that is currently the largest operating magnetic fusion energy experiment in the world.

    Located at the Culham Center for Fusion Energy (CCFE), part of the U.K. Atomic Energy Authority, this key research center of the European Fusion Program has recently announced historic success. Using a 50-50 deuterium-tritium fuel mixture for the first time since 1997, JET established a fusion power record of 10 megawatts output over five seconds. It produced 59 megajoules of fusion energy, more than doubling the 22 megajoule record it set in 1997. As a member of the JET Team, Tinguely has overseen the measurement and instrumentation systems (diagnostics) contributed by the MIT group.

    A lucky chance

    The postdoctoral opportunity arose just as Tinguely was graduating with a PhD in physics from MIT. Managed by Professor Miklos Porkolab as the principal investigator for over 20 years, this postdoctoral program has prepared multiple young researchers for careers in fusion facilities around the world. The collaborative research provided Tinguely the chance to work on a fusion device that would be adding tritium to the usual deuterium fuel.

    Fusion, the process that fuels the sun and other stars, could provide a long-term source of carbon-free power on Earth, if it can be harnessed. For decades researchers have tried to create an artificial star in a doughnut-shaped bottle, or “tokamak,” using magnetic fields to keep the turbulent plasma fuel confined and away from the walls of its container long enough for fusion to occur.

    In his graduate student days at MIT, Tinguely worked on the PSFC’s Alcator C-Mod tokamak, now decommissioned, which, like most magnetic fusion devices, used deuterium to create the plasmas for experiments. JET, since beginning operation in 1983, has done the same, later joining a small number of facilities that added tritium, a radioactive isotope of hydrogen. While this addition increases the amount of fusion, it also creates much more radiation and activation.

    Tinguely considers himself fortunate to have been placed at JET.

    “There aren’t that many operating tokamaks in the U.S. right now,” says Tinguely, “not to mention one that would be running deuterium-tritium (DT), which hasn’t been run for over 20 years, and which would be making some really important measurements. I got a very lucky spot where I was an MIT postdoc, but I lived in Oxford, working on a very international project.”

    Strumming magnetic field lines

    The measurements that interest Tinguely are of low-frequency electromagnetic waves in tokamak plasmas. Tinguely uses an antenna diagnostic developed by MIT, EPFL Swiss Plasma Center, and CCFE to probe the so-called Alfvén eigenmodes when they are stable, before the energetic alpha particles produced by DT fusion plasmas can drive them toward instability.

    What makes MIT’s “Alfvén Eigenmode Active Diagnostic” essential is that without it researchers cannot see, or measure, stable eigenmodes. Unstable modes show up clearly as magnetic fluctuations in the data, but stable waves are invisible without prompting from the antenna. These measurements help researchers understand the physics of Alfvén waves and their potential for degrading fusion performance, providing insights that will be increasingly important for future DT fusion devices.

    Tinguely likens the diagnostic to fingers on guitar strings.

    “The magnetic field lines in the tokamak are like guitar strings. If you have nothing to give energy to the strings — or give energy to the waves of the magnetic field lines — they just sit there, they don’t do anything. The energetic plasma particles can essentially ‘play the guitar strings,’ strum the magnetic field lines of the plasma, and that’s when you can see the waves in your plasma. But if the energetic particle drive of the waves is not strong enough you won’t see them, so you need to come along and ‘pluck the strings’ with our antenna. And that’s how you learn some information about the waves.”

    Much of Tinguely’s experience on JET took place during the Covid-19 pandemic, when off-site operation and analysis were the norm. However, because the MIT diagnostic needed to be physically turned on and off, someone from Tinguely’s team needed to be on site twice a day, a routine that became even less convenient when tritium was introduced.

    “When you have deuterium and tritium, you produce a lot of neutrons. So, some of the buildings became off-limits during operation, which meant they had to be turned on really early in the morning, like 6:30 a.m., and then turned off very late at night, around 10:30 p.m.”

    Looking to the future

    Now a research scientist at the PSFC, Tinguely continues to work at JET remotely. He sometimes wishes he could again ride that train from Oxford to Culham — which he fondly remembers for its clean, comfortable efficiency — to see work colleagues and to visit local friends. The life he created for himself in England included practice and performance with the 125-year-old Oxford Bach Choir, as well as weekly dinner service at The Gatehouse, a facility that offers free support for the local homeless and low-income communities.

    “Being back is exciting too,” he says. “It’s fun to see how things have changed, how people and projects have grown, what new opportunities have arrived.”

    He refers specifically to a project that is beginning to take up more of his time: SPARC, the tokamak the PSFC supports in collaboration with Commonwealth Fusion Systems. Designed to use deuterium-tritium to make net fusion gains, SPARC will be able to use the latest research on JET to advantage. Tinguely is already exploring how his expertise with Alfvén eigenmodes can support the experiment.

    “I actually had an opportunity to do my PhD — or DPhil as they would call it — at Oxford University, but I went to MIT for grad school instead,” Tinguely reveals. “So, this is almost like closure, in a sense. I got to have my Oxford experience in the end, just in a different way, and have the MIT experience too.”

    He adds, “And I see myself being here at MIT for some time.” More

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    in Energy

    More sensitive X-ray imaging

    Scintillators are materials that emit light when bombarded with high-energy particles or X-rays. In medical or dental X-ray systems, they convert incoming X-ray radiation into visible light that can then be captured using film or photosensors. They’re also used for night-vision systems and for research, such as in particle detectors or electron microscopes.

    Researchers at MIT have now shown how one could improve the efficiency of scintillators by at least tenfold, and perhaps even a hundredfold, by changing the material’s surface to create certain nanoscale configurations, such as arrays of wave-like ridges. While past attempts to develop more efficient scintillators have focused on finding new materials, the new approach could in principle work with any of the existing materials.

    Though it will require more time and effort to integrate their scintillators into existing X-ray machines, the team believes that this method might lead to improvements in medical diagnostic X-rays or CT scans, to reduce dose exposure and improve image quality. In other applications, such as X-ray inspection of manufactured parts for quality control, the new scintillators could enable inspections with higher accuracy or at faster speeds.

    The findings are described today in the journal Science, in a paper by MIT doctoral students Charles Roques-Carmes and Nicholas Rivera; MIT professors Marin Soljacic, Steven Johnson, and John Joannopoulos; and 10 others.

    While scintillators have been in use for some 70 years, much of the research in the field has focused on developing new materials that produce brighter or faster light emissions. The new approach instead applies advances in nanotechnology to existing materials. By creating patterns in scintillator materials at a length scale comparable to the wavelengths of the light being emitted, the team found that it was possible to dramatically change the material’s optical properties.

    To make what they coined “nanophotonic scintillators,” Roques-Carmes says, “you can directly make patterns inside the scintillators, or you can glue on another material that would have holes on the nanoscale. The specifics depend on the exact structure and material.” For this research, the team took a scintillator and made holes spaced apart by roughly one optical wavelength, or about 500 nanometers (billionths of a meter).

    “The key to what we’re doing is a general theory and framework we have developed,” Rivera says. This allows the researchers to calculate the scintillation levels that would be produced by any arbitrary configuration of nanophotonic structures. The scintillation process itself involves a series of steps, making it complicated to unravel. The framework the team developed involves integrating three different types of physics, Roques-Carmes says. Using this system they have found a good match between their predictions and the results of their subsequent experiments.

    The experiments showed a tenfold improvement in emission from the treated scintillator. “So, this is something that might translate into applications for medical imaging, which are optical photon-starved, meaning the conversion of X-rays to optical light limits the image quality. [In medical imaging,] you do not want to irradiate your patients with too much of the X-rays, especially for routine screening, and especially for young patients as well,” Roques-Carmes says.

    “We believe that this will open a new field of research in nanophotonics,” he adds. “You can use a lot of the existing work and research that has been done in the field of nanophotonics to improve significantly on existing materials that scintillate.”

    “The research presented in this paper is hugely significant,” says Rajiv Gupta, chief of neuroradiology at Massachusetts General Hospital and an associate professor at Harvard Medical School, who was not associated with this work. “Nearly all detectors used in the $100 billion [medical X-ray] industry are indirect detectors,” which is the type of detector the new findings apply to, he says. “Everything that I use in my clinical practice today is based on this principle. This paper improves the efficiency of this process by 10 times. If this claim is even partially true, say the improvement is two times instead of 10 times, it would be transformative for the field!”

    Soljacic says that while their experiments proved a tenfold improvement in emission could be achieved in particular systems, by further fine-tuning the design of the nanoscale patterning, “we also show that you can get up to 100 times [improvement] in certain scintillator systems, and we believe we also have a path toward making it even better,” he says.

    Soljacic points out that in other areas of nanophotonics, a field that deals with how light interacts with materials that are structured at the nanometer scale, the development of computational simulations has enabled rapid, substantial improvements, for example in the development of solar cells and LEDs. The new models this team developed for scintillating materials could facilitate similar leaps in this technology, he says.

    Nanophotonics techniques “give you the ultimate power of tailoring and enhancing the behavior of light,” Soljacic says. “But until now, this promise, this ability to do this with scintillation was unreachable because modeling the scintillation was very challenging. Now, this work for the first time opens up this field of scintillation, fully opens it, for the application of nanophotonics techniques.” More generally, the team believes that the combination of nanophotonic and scintillators might ultimately enable higher resolution, reduced X-ray dose, and energy-resolved X-ray imaging.

    This work is “very original and excellent,” says Eli Yablonovitch, a professor of Electrical Engineering and Computer Sciences at the University of California at Berkeley, who was not associated with this research. “New scintillator concepts are very important in medical imaging and in basic research.”

    Yablonovitch adds that while the concept still needs to be proven in a practical device, he says that, “After years of research on photonic crystals in optical communication and other fields, it’s long overdue that photonic crystals should be applied to scintillators, which are of great practical importance yet have been overlooked” until this work.

    The research team included Ali Ghorashi, Steven Kooi, Yi Yang, Zin Lin, Justin Beroz, Aviram Massuda, Jamison Sloan, and Nicolas Romeo at MIT; Yang Yu at Raith America, Inc.; and Ido Kaminer at Technion in Israel. The work was supported, in part, by the U.S. Army Research Office and the U.S. Army Research Laboratory through the Institute for Soldier Nanotechnologies, by the Air Force Office of Scientific Research, and by a Mathworks Engineering Fellowship. More

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    New power sources

    In the mid-1990s, a few energy activists in Massachusetts had a vision: What if citizens had choice about the energy they consumed? Instead of being force-fed electricity sources selected by a utility company, what if cities, towns, and groups of individuals could purchase power that was cleaner and cheaper?

    The small group of activists — including a journalist, the head of a small nonprofit, a local county official, and a legislative aide — drafted model legislation along these lines that reached the state Senate in 1995. The measure stalled out. In 1997, they tried again. Massachusetts legislators were busy passing a bill to reform the state power industry in other ways, and this time the activists got their low-profile policy idea included in it — as a provision so marginal it only got a brief mention in The Boston Globe’s coverage of the bill.

    Today, this idea, often known as Community Choice Aggregation (CCA), is used by roughly 36 million people in the U.S., or 11 percent of the population. Local residents, as a bloc, purchase energy with certain specifications attached, and over 1,800 communities have adopted CCA in six states, with others testing CCA pilot programs. From such modest beginnings, CCA has become a big deal.

    “It started small, then had a profound impact,” says David Hsu, an associate professor at MIT who studies energy policy issues. Indeed, the trajectory of CCA is so striking that Hsu has researched its origins, combing through a variety of archival sources and interviewing the principals. He has now written a journal article examining the lessons and implications of this episode.

    Hsu’s paper, “Straight out of Cape Cod: The origin of community choice aggregation and its spread to other states,” appears in advance online form in the journal Energy Research and Social Science, and in the April print edition of the publication.

    “I wanted to show people that a small idea could take off into something big,” Hsu says. “For me that’s a really hopeful democratic story, where people could do something without feeling they had to take on a whole giant system that wouldn’t immediately respond to only one person.”

    Local control

    Aggregating consumers to purchase energy was not a novelty in the 1990s. Companies within many industries have long joined forces to gain purchasing power for energy. And Rhode Island tried a form of CCA slightly earlier than Massachusetts did.

    However, it is the Massachusetts model that has been adopted widely: Cities or towns can require power purchases from, say, renewable sources, while individual citizens can opt out of those agreements. More state funding (for things like efficiency improvements) is redirected to cities and towns as well.

    In both ways, CCA policies provide more local control over energy delivery. They have been adopted in California, Illinois, New Jersey, New York, and Ohio. Meanwhile, Maryland, New Hampshire, and Virginia have recently passed similar legislation (also known as municipal or government aggregation, or community choice energy).

    For cities and towns, Hsu says, “Maybe you don’t own outright the whole energy system, but let’s take away one particular function of the utility, which is procurement.”

    That vision motivated a handful of Massachusetts activists and policy experts in the 1990s, including journalist Scott Ridley, who co-wrote a 1986 book, “Power Struggle,” with the University of Massachusetts historian Richard Rudolph and had spent years thinking about ways to reconfigure the energy system; Matt Patrick, chair of a local nonprofit focused on energy efficiency; Rob O’Leary, a local official in Barnstable County, on Cape Cod; and Paul Fenn, a staff aide to the state senator who chaired the legislature’s energy committee.

    “It started with these political activists,” Hsu says.

    Hsu’s research emphasizes several lessons to be learned from the fact the legislation first failed in 1995, before unexpectedly passing in 1997. Ridley remained an author and public figure; Patrick and O’Leary would each eventually be elected to the state legislature, but only after 2000; and Fenn had left his staff position by 1995 and worked with the group long-distance from California (where he became a long-term advocate about the issue). Thus, at the time CCA passed in 1997, none of its main advocates held an insider position in state politics. How did it succeed?

    Lessons of the legislation

    In the first place, Hsu believes, a legislative process resembles what the political theorist John Kingdon has called a “multiple streams framework,” in which “many elements of the policymaking process are separate, meandering, and uncertain.” Legislation isn’t entirely controlled by big donors or other interest groups, and “policy entrepreneurs” can find success in unpredictable windows of opportunity.

    “It’s the most true-to-life theory,” says Hsu.  

    Second, Hsu emphasizes, finding allies is crucial. In the case of CCA, that came about in a few ways. Many towns in Massachusetts have a town-level legislature known as Town Meeting; the activists got those bodies in about 20 towns to pass nonbinding resolutions in favor of community choice. O’Leary helped create a regional county commission in Barnstable County, while Patrick crafted an energy plan for it. High electricity rates were affecting all of Cape Cod at the time, so community choice also served as an economic benefit for Cape Cod’s working-class service-industry employees. The activists also found that adding an opt-out clause to the 1997 version appealed to legislators, who would support CCA if their constituents were not all bound to it.

    “You really have to stick with it, and you have to look for coalition partners,” Hsu says. “It’s fun to hear them [the activists] talk about going to Town Meetings, and how they tried to build grassroots support. If you look for allies, you can get things done. [I hope] the people can see [themselves] in other people’s activism even if they’re not exactly the same as you are.”

    By 1997, the CCA legislation had more geographic support, was understood as both an economic and environmental benefit for voters, and would not force membership upon anyone. The activists, while giving media interviews, and holding conferences, had found additional traction in the principle of citizen choice.

    “It’s interesting to me how the rhetoric of [citizen] choice and the rhetoric of democracy proves to be effective,” Hsu says. “Legislators feel like they have to give everyone some choice. And it expresses a collective desire for a choice that the utilities take away by being monopolies.”

    He adds: “We need to set out principles that shape systems, rather than just taking the system as a given and trying to justify principles that are 150 years old.”

    One last element in CCA passage was good timing. The governor and legislature in Massachusetts were already seeking a “grand bargain” to restructure electricity delivery and loosen the grip of utilities; the CCA fit in as part of this larger reform movement. Still, CCA adoption has been gradual; about one-third of Massachusetts towns with CCA have only adopted it within the last five years.

    CCA’s growth does not mean it’s invulnerable to repeal or utility-funded opposition efforts — “In California there’s been pretty intense pushback,” Hsu notes. Still, Hsu concludes, the fact that a handful of activists could start a national energy-policy movement is a useful reminder that everyone’s actions can make a difference.

    “It wasn’t like they went charging through a barricade, they just found a way around it,” Hsu says. “I want my students to know you can organize and rethink the future. It takes some commitment and work over a long time.” More

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    Nurturing human communities and natural ecosystems

    When she was in 7th grade, Heidi Li and the five other members of the Oyster Gardening Club cultivated hundreds of oysters to help repopulate the Chesapeake Bay. On the day they released the oysters into the bay, the event attracted TV journalists and local officials, including the governor. The attention opened the young Li’s eyes to the ways that a seemingly small effort in her local community could have a real-world impact.

    “I got to see firsthand how we can make change at a grassroots level and how that impacts where we are,” she says.

    Growing up in Howard County, Maryland, Li was constantly surrounded by nature. Her family made frequent trips to the Chesapeake Bay, as it reminded them of her parent’s home in Shandong, China. Li worked to bridge the cultural gap between parents, who grew up in China, and their children, who grew up in the U.S., and attended Chinese school every Sunday for 12 years. These experiences instilled in her a community-oriented mindset, which Li brought with her to MIT, where she now majors in materials science and engineering.

    During her first year, Li pursued a microbiology research project through the Undergraduate Research Opportunities Program (UROP) in the Department of Civil and Environmental Engineering. She studied microbes in aquatic environments, analyzing how the cleanliness of water impacted immunity and behavioral changes of the marine bacteria.

    The experience led her to consider the ways environmental policy affected sustainability efforts. She began applying the problem to energy, asking herself questions such as, “How can you take this specific economic principle and apply it to energy? What has energy policy looked like in the past and how can we tailor that to apply to our current energy system?”

    To explore the intersection of policy and energy, Li participated in the Roosevelt Project, through the Center of Energy and Environmental Policy Research, during the summer after her junior year. The project used case studies targeting specific communities in vulnerable areas to propose methods for a more sustainable future. Li focused on Pittsburgh, Pennsylvania, evaluating the efficiency of an energy transition from natural gas and fossil fuels to carbon-capture, which would mean redistributing the carbon dioxide produced by the coal industry. After traveling to Pittsburgh and interviewing stakeholders in the area, Li watched as local community leaders created physical places for citizens to share their ideas and opinions on the energy transition

    “I watched community leaders create a safe space for people from the surrounding town to share their ideas for entrepreneurship. I saw how important community is and how to create change at a grassroots level,” she says.

    In the summer of 2021, Li pursued an internship through the energy consulting firm Wood Mackenzie, where she looked at technologies that could potentially help with the energy transition from fossil fuels to renewable energy. Her job was to make sure the technology could be implemented efficiently and cost-effectively, optimizing the resources available to the surrounding area. The project allowed Li to engage with industry-based efforts to chart and analyze the technological advancements for various decarbonization scenarios. She hopes to continue looking at both the local, community-based, and external, industry-based, inputs on how economic policy would affect stakeholders.

    On campus, Li is the current president of the Sustainable Energy Alliance (SEA), where she aims to make students more conscious about climate change and their impact on the environment. During summer of her sophomore year, Li chaired a sustainability hackathon for over 200 high school students, where she designed and led the “Protecting Climate Refugees” and “Tackling Environmental Injustice” challenges to inspire students to think about humanitarian efforts for protecting frontline communities.

    “The whole goal of this is to empower students to think about solutions for themselves. Empowering students is really important to show them they can make change and inspire hope in themselves and the people around them,” she says.

    Li also hosted and produced “Open SEAcrets,” a podcast designed to engage MIT students with topics surrounding energy sustainability and provide them with the opportunity to share their opinions on the subject. She sees the podcast as a platform to raise awareness about energy, climate change, and environmental policy, while also inspiring a sense of community with listeners.

    When she is not in the classroom or the lab, Li relaxes by playing volleyball. She joined the Volleyball Club during her first year at MIT, though she has been playing since she was 12. The sport allows her to not only relieve stress, but also have conversations with both undergrads and graduate students, who bring different their backgrounds, interests, and experiences to conversations. The sport has also taught Li about teamwork, trust, and the importance of community in ways that her other experience doesn’t.

    Looking ahead, Li is currently working on a UROP project, called Climate Action Through Education (CATE), that designs climate change curriculum for K-12 grades and aims to show how climate change and energy are integral to peoples’ daily lives. Seeing the energy transition as an interdisciplinary problem, she wants to educate students about the problems of climate change and sustainability using perspectives from math, science, history, and psychology to name a few areas.

    But above all, Li wants to empower younger generations to develop solution-minded approaches to environmentalism. She hopes to give local communities a voice in policy implementation, with the end goal of a more sustainable future for all.

    “Finding a community you really thrive in will allow you to push yourself and be the best version of yourself you can be. I want to take this mindset and create spaces for people and establish and instill this sense of community,” she says. More

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    First-ever Climate Grand Challenges recognizes 27 finalists

    All-carbon buildings, climate-resilient crops, and new tools to improve the prediction of extreme weather events are just a few of the 27 bold, interdisciplinary research projects selected as finalists from a field of almost 100 proposals in the first MIT Climate Grand Challenges competition. Each of the finalist teams received $100,000 to develop a comprehensive research and innovation plan.

    A subset of the finalists will make up a portfolio of multiyear projects that will receive additional funding and other support to develop high-impact, science-based mitigation and adaptation solutions on an accelerated basis. These flagship projects, which will be announced later this spring, will augment the work of the many MIT units already pursuing climate-related research activities.

    “Climate change poses a suite of challenges of immense urgency, complexity and scale. At MIT, we are bringing our particular strengths to bear through our community — a rare concentration of ingenuity and determination, rooted in a vibrant innovation ecosystem,” President L. Rafael Reif says. “Through MIT’s Climate Grand Challenges, we are engaging hundreds of our brilliant faculty and researchers in the search for solutions with enormous potential for impact.”

    The Climate Grand Challenges launched in July 2020 with the goal of mobilizing the entire MIT research community around developing solutions to some of the most complex unsolved problems in emissions reduction, climate change adaptation and resilience, risk forecasting, carbon removal, and understanding the human impacts of climate change.

    An event in April will showcase the flagship projects, bringing together public and private sector partners with the MIT teams to begin assembling the necessary resources for developing, implementing, and scaling these solutions rapidly.

    A whole-of-MIT effort

    Part of a wide array of major climate programs outlined last year in “Fast Forward: MIT’s Climate Action Plan for the Decade,” the Climate Grand Challenges focuses on problems where progress depends on the application of forefront knowledge in the physical, life, and social sciences and the advancement of cutting-edge technologies.

    “We don’t have the luxury of time in responding to the intensifying climate crisis,” says Vice President for Research Maria Zuber, who oversees the implementation of MIT’s climate action plan. “The Climate Grand Challenges are about marshaling the wide and deep knowledge and methods of the MIT community around transformative research that can help accelerate our collective response to climate change.”

    If successful, the solutions will have tangible effects, changing the way people live and work. Examples of these new approaches range from developing cost-competitive long-term energy-storage systems to using drone technologies and artificial intelligence to study the role of the deep ocean in the climate crisis. Many projects also aim to increase the humanistic understanding of these phenomena, recognizing that technological advances alone will not address the widespread impacts of climate change, and a comparable behavioral and cultural shift is needed to stave off future threats.

    “To achieve net-zero emissions later this century we must deploy the tools and technologies we already have,” says Richard Lester, associate provost for international activities. “But we’re still far from having everything needed to get there in ways that are equitable and affordable. Nor do we have the solutions in hand that will allow communities — especially the most vulnerable ones — to adapt to the disruptions that will occur even if the world does get to net-zero. Climate Grand Challenges is creating a new opportunity for the MIT research community to attack some of these hard, unsolved problems, and to engage with partners in industry, government, and the nonprofit sector to accelerate the whole cycle of activities needed to implement solutions at scale.” 

    Selecting the finalist projects

    A 24-person faculty committee convened by Lester and Zuber with members from all five of MIT’s schools and the MIT Schwarzman College of Computing led the planning and initial call for ideas. A smaller group of committee members was charged with evaluating nearly 100 letters of interest, representing 90 percent of MIT departments and ​​involving almost 400 MIT faculty members and senior researchers as well as colleagues from other research institutions.

    “Effectively confronting the climate emergency requires risk taking and sustained investment over a period of many decades,” says Anantha Chandrakasan, dean of the School of Engineering. “We have a responsibility to use our incredible resources and expertise to tackle some of the most challenging problems in climate mitigation and adaptation, and the opportunity to make major advances globally.”

    Lester and Zuber charged a second faculty committee with organizing a rigorous and thorough evaluation of the plans developed by the 27 finalist teams. Drawing on an extensive review process involving international panels of prominent experts, MIT will announce a small group of flagship Grand Challenge projects in April. 

    Each of the 27 finalist teams is addressing one of four broad Grand Challenge problems:

    Building equity and fairness into climate solutions

    Policy innovation and experimentation for effective and equitable climate solutions, led by Abhijit Banerjee, Iqbal Dhaliwal, and Claire Walsh
    Protecting and enhancing natural carbon sinks – Natural Climate and Community Solutions (NCCS), led by John Fernandez, Daniela Rus, and Joann de Zegher
    Reducing group-based disparities in climate adaptation, led by Evan Lieberman, Danielle Wood, and Siqi Zheng
    Reinventing climate change adaptation – The Climate Resilience Early Warning System (CREWSnet), led by John Aldridge and Elfatih Eltahir
    The Deep Listening Project: Communication infrastructure for collaborative adaptation, led by Eric Gordon, Yihyun Lim, and James Paradis
    The Equitable Resilience Framework, led by Janelle Knox-Hayes

    Decarbonizing complex industries and processes

    Carbon >Building, led by Mark Goulthorpe
    Center for Electrification and Decarbonization of Industry, led by Yet-Ming Chiang and Bilge Yildiz
    Decarbonizing and strengthening the global energy infrastructure using nuclear batteries, led by Jacopo Buongiorno
    Emissions reduction through innovation in the textile industry, led by Yuly Fuentes-Medel and Greg Rutledge
    Rapid decarbonization of freight mobility, led by Yossi Sheffi and Matthias Winkenbach
    Revolutionizing agriculture with low-emissions, resilient crops, led by Christopher Voigt
    Solar fuels as a vector for climate change mitigation, led by Yuriy Román-Leshkov and Yogesh Surendranath
    The MIT Low-Carbon Co-Design Institute, led by Audun Botterud, Dharik Mallapragada, and Robert Stoner
    Tough to Decarbonize Transportation, led by Steven Barrett and William Green

    Removing, managing, and storing greenhouse gases

    Demonstrating safe, globally distributed geological CO2 storage at scale, led by Bradford Hager, Howard Herzog, and Ruben Juanes
    Deploying versatile carbon capture technologies and storage at scale, led by Betar Gallant, Bradford Hager, and T. Alan Hatton
    Directed Evolution of Biological Carbon Fixation Working Group at MIT (DEBC-MIT), led by Edward Boyden and Matthew Shoulders
    Managing sources and sinks of carbon in terrestrial and coastal ecosystems, led by Charles Harvey, Tami Lieberman, and Heidi Nepf
    Strategies to Reduce Atmospheric Methane, led by Desiree Plata

    The Advanced Carbon Mineralization Initiative, led by Edward Boyden, Matěj Peč, and Yogesh Surendranath

    Using data and science to forecast climate-related risk

    Bringing computation to the climate challenge, led by Noelle Eckley Selin and Raffaele Ferrari
    Ocean vital signs, led by Christopher Hill and Ryan Woosley
    Preparing for a new world of weather and climate extremes, led by Kerry Emanuel, Miho Mazereeuw, and Paul O’Gorman
    Quantifying and managing the risks of sea-level rise, led by Brent Minchew
    Stratospheric Airborne Climate Observatory System to initiate a climate risk forecasting revolution, led by R. John Hansman and Brent Minchew
    The future of coasts – Changing flood risk for coastal communities in the developing world, led by Dara Entekhabi, Miho Mazereeuw, and Danielle Wood

    To learn more about the MIT Climate Grand Challenges, visit climategrandchallenges.mit.edu. More

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    in Energy

    Investors awaken to the risks of climate change

    Poppy Allonby, a senior financial executive and the former managing director of BlackRock, has been analyzing the link between climate change and investing for more than two decades. “For a lot of that, it was quite lonely,” Allonby said during her December address at the MIT Energy Initiative Fall Colloquium. “There weren’t that many other people looking at this field. And over the last three or four years, that’s completely changed.”

    Increasingly, Allonby said, investors are opening their eyes to the long-term risks of climate change — risks that threaten not only the planet, but also their portfolios. And as more institutional investors come to see climate change as a threat to their beneficiaries, they are taking action to fight it. Still, she cautioned that much more work remains to be done.

    “Various investors are at very different stages in considering climate change,” Allonby said. “Once they realize this is something they need to think about … they need to do a risk assessment, then develop a strategy.” 

    “When you look at different institutions,” she said, “some are just at the very beginning of this journey.”

    A changing landscape

    Although there is a compelling moral case to be made for taking steps to mitigate climate change, Allonby noted that institutional investors such as pension funds are bound by a fiduciary duty to their beneficiaries. That is to say, they are obligated to put their client or member interests ahead of their own.

    “I talk about fiduciary duty, because one of the things that has really changed in the investment space is that more and more investors are beginning to see climate change and climate risk as [impacting] their fiduciary duty,” said Allonby. “That has been a shift. In my mind, it makes total sense. If you’re a long-term investor … and you’re thinking about beneficiaries that need assets over the next 10 or 20 years, and thinking about risks that might materialize — and climate change, in particular — then that makes a lot of sense. But that is not where we were five or 10 years ago.”

    Allonby spent more than 20 years at the multinational investment management corporation BlackRock. For 17 of those years, she was a senior portfolio manager responsible for managing multibillion-dollar funds investing globally in companies across the traditional energy sector, and also those involved in sustainable energy and mitigating climate change. Most recently, she was head of the corporation’s Global Product Group on several continents, where she provided oversight for nearly $1 trillion assets and played a critical role in developing BlackRock’s sustainable product strategy.

    “Where I like to think the finance industry is heading is integration,” she said. “This means thinking holistically about pretty much every decision you make as an investor, and thinking about how climate risk is going to impact that investment. That is a sea change in the mentality around how people invest.”

    Divestment versus engagement

    For many years, activists have pushed for institutions — including MIT — to divest from fossil fuel companies. By keeping fossil fuel companies out of their portfolios, these activists argue, institutions and individuals can exert social, political, and economic pressure on these corporations and help to accelerate the shift to renewable energy.

    However, Allonby argued instead for ongoing engagement with fossil fuel companies, reasoning that this better positions investors to push for change. “My personal view with divesting from oil and gas companies is, that’s not very effective,” Allonby said. “I think there might be examples where you have very specific companies which you don’t think will be involved in the transition [to net zero], and [divestment] might make sense. Or if you’ve got an institutional investor where it is imperative that their investment is entirely aligned with their values — so, certain charities — it might make sense. But if you really care about change, I think you need to keep a seat at the table.”

    In a way, Allonby said, divesting from fossil fuel companies lets leaders at those organizations off the hook, reducing the pressure on them to make meaningful changes to their operations. “Imagine a company that is incredibly polluting and not sustainable, and they have shareholders that are not happy, but they don’t do anything, and those shareholders decide to divest,” she said. “What happens as a result of that, potentially, is the company goes, ‘Oh, that was easy! I didn’t have to do anything, and [the activists] have gone away.’ And potentially, those assets end up being owned by people who care less. So that is a risk, when you think about divestment.”

    Challenges and opportunities         

    Allonby outlined several challenges with climate-focused investing, but also noted a number of opportunities — both for investors looking to make money, and those looking to make a change.

    Among the challenges: For one, some investors simply still need to be convinced that climate change is a problem they should be working to solve. Also, Allonby said, there is a lack both of a formalized methodology and of specialized investment products for climate-focused investing, although she noted that both of these areas are improving. Finally, she said, it remains a challenge to encourage investors to direct capital toward clean-energy projects in developing countries. 

    Investors can both set themselves up for financial success and mitigate climate change, Allonby said, through savvy investments in either distressed or underpriced assets. “If you can buy assets that are discounted or cheaper because people have real concerns about their environmental footprint, then you can work with those companies to improve it and therefore reduce the risk and improve the valuation,” she said.

    Allonby, pointing to the high cost of waterfront property in areas that are vulnerable to rising sea levels, also suggested that the long-term risks of climate change have not been fully priced into many assets. “My view is that we haven’t really gotten our arms around that,” she said. “From a purely investment perspective, that’s also an opportunity.”

    Additionally, Allonby noted the recent rise of ESG funds, which invest with environmental, social, and corporate governance guidelines in mind. Some of these funds, she noted, have outperformed the larger market over the past several years.

    “When we talk about climate change, one has a range of emotions,” Allonby said. “Sometimes it can feel like we’re not making enough progress. And one of the nice things about being here at MIT is that whenever I’m here, I always feel hopeful about the future, and quite hopeful about all of the technologies and work that you are doing to transition energy systems and move things forward. When you look at what’s happening in the financial services sector, there’s still a huge amount to do, but it’s also quite a hopeful story.” More