Evelyn Reynolds

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    Energizing communities in Africa

    Growing up in Lagos, Nigeria, Ayomikun Ayodeji enjoyed the noisy hustle and bustle of his neighborhood. The cacophony included everything from vendors hawking water sachets and mini sausages, to commuters shouting for the next bus.

    Another common sound was the cry of “Up NEPA!” — an acronym for the Nigerian Electrical Power Authority — which Ayodeji would chant in unison with other neighborhood children when power had been restored after an outage. He remembers these moments fondly because, despite the difficulties of the frequent outages, the call also meant that people finally did have long-awaited electricity in their homes.

    “I grew up without reliable electricity, so power is something I’ve always been interested in,” says Ayodeji, who is now a senior studying chemical engineering. He hopes to use the knowledge he has gained during his time at MIT to expand energy access in his home country and elsewhere in Africa.

    Before coming to MIT, Ayodeji spent two years in Italy at United World College, where he embarked on chemistry projects, specifically focusing on dye-sensitized solar cells. He then transferred to the Institute, seeking a more technical grounding. He hoped that the knowledge gained in and out of the classroom would equip him with the tools to help combat the energy crisis in Lagos.

    “The questions that remained in the back of my mind were: How can I give back to the community I came from? How can I use the resources around me to help others?”  he says.

    This community-oriented mindset led Ayodeji to team up with a group of friends and brainstorm ideas for how they could help communities close to them. They eventually partnered with the Northeast Children’s Trust (NECT), an organization that helps children affected by the extremist group Boko Haram. Ayodeji and his friends looked at how to expand NECT’s educational program, and decided to build an offline, portable classroom server with a repository of books, animations, and activities for students at the primary and secondary education levels. The project was sponsored by Davis Projects for Peace and MIT’s PKG Center.

    Because of travel restrictions, Ayodeji was the only member of his team able to fly to Nigeria in the summer of 2019 to facilitate installing the servers. He says he wished his team could have been there, but he appreciated the opportunity to speak with the children directly, inspired by their excitement to learn and grow. The experience reaffirmed Ayodeji’s desire to pursue social impact projects, especially in Nigeria.

    “We knew we hadn’t just taken a step in providing the kids with a well-rounded education, but we also supported the center, NECT, in raising the next generation of future leaders that would guide that region to a sustainable, peaceful future,” he says.

    Ayodeji has also sought out energy-related opportunities on campus, pursuing an undergraduate research program (UROP) in the Buonassisi Lab in his sophomore year. He was tasked with testing perovskite solar cells, which have the potential to reach high efficiencies at low production costs. He characterized the cells using X-ray diffraction, studying their stability and degradation pathways. While Ayodeji enjoyed his first experience doing hands-on energy research, he found he was more curious about how energy technologies were implemented to reach various communities. “I wanted to see how things were being done in the industry,” he says.

    In the summer after his sophomore year, Ayodeji interned with Pioneer Natural Resources, an independent oil and gas company in Texas. Ayodeji worked as part of the completions projects team to assess the impact of design changes on cluster efficiency, that is, how evenly fluid is distributed along the wellbore. By using fiberoptic and photographic data to analyze perforation erosion, he discovered ways to lower costs while maintaining environmental stability during completions. The experience taught Ayodeji about the corporate side of the energy industry and enabled him to observe how approaches to alternative energy sources differ across countries, especially in the U.S. and Nigeria.

    “Some developing economies don’t have the capacity to pour resources into expanding renewable energy infrastructure at the rate that most developed economies do. While it is important to think sustainably for the long run, it is also important for us to understand that a clean energy transition is not something that can be done overnight,” he says.

    Ayodeji also employs his community-oriented mindset on campus. He is currently the vice president of the African Students’ Association (ASA), where he formerly chaired the African Learning Circle, a weekly discussion panel spotlighting key development and innovation events taking place on the African continent. He is also involved with student outreach, both within the ASA and as an international orientation student coordinator for the International Students Office.

    As a member of Cru, a Christian community on campus, Ayodeji helps lead a bible study and says the group supports him as he navigates college life. “It is a wonderful community of people I explore faith with and truly lean on when things get tough,” he says.

    After graduating, Ayodeji plans to start work at Boston Consulting Group, where he interned last summer. He expects he’ll have opportunities to engage with private equity issues and tackle energy-related cases while learning more about where the industry is headed.

    His long-term goal is to help expand renewable energy access and production across the African continent.

    “A key element of what the world needs to develop and grow is access to reliable energy. I hope to keep expanding my problem-solving toolkit so that, one day, it can be useful in electrifying communities back home,” he says. More

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    Preparing global online learners for the clean energy transition

    After a career devoted to making the electric power system more efficient and resilient, Marija Ilic came to MIT in 2018 eager not just to extend her research in new directions, but to prepare a new generation for the challenges of the clean-energy transition.

    To that end, Ilic, a senior research scientist in MIT’s Laboratory for Information and Decisions Systems (LIDS) and a senior staff member at Lincoln Laboratory in the Energy Systems Group, designed an edX course that captures her methods and vision: Principles of Modeling, Simulation, and Control for Electric Energy Systems.

    EdX is a provider of massive open online courses produced in partnership with MIT, Harvard University, and other leading universities. Ilic’s class made its online debut in June 2021, running for 12 weeks, and it is one of an expanding set of online courses funded by the MIT Energy Initiative (MITEI) to provide global learners with a view of the shifting energy landscape.

    Ilic first taught a version of the class while a professor at Carnegie Mellon University, rolled out a second iteration at MIT just as the pandemic struck, and then revamped the class for its current online presentation. But no matter the course location, Ilic focuses on a central theme: “With the need for decarbonization, which will mean accommodating new energy sources such as solar and wind, we must rethink how we operate power systems,” she says. “This class is about how to pose and solve the kinds of problems we will face during this transformation.”

    Hot global topic

    The edX class has been designed to welcome a broad mix of students. In summer 2021, more than 2,000 signed up from 109 countries, ranging from high school students to retirees. In surveys, some said they were drawn to the class by the opportunity to advance their knowledge of modeling. Many others hoped to learn about the move to decarbonize energy systems.

    “The energy transition is a hot topic everywhere in the world, not just in the U.S.,” says teaching assistant Miroslav Kosanic. “In the class, there were veterans of the oil industry and others working in investment and finance jobs related to energy who wanted to understand the potential impacts of changes in energy systems, as well as students from different fields and professors seeking to update their curricula — all gathered into a community.”

    Kosanic, who is currently a PhD student at MIT in electrical engineering and computer science, had taken this class remotely in the spring semester of 2021, while he was still in college in Serbia. “I knew I was interested in power systems, but this course was eye-opening for me, showing how to apply control theory and to model different components of these systems,” he says. “I finished the course and thought, this is just the beginning, and I’d like to learn a lot more.” Kosanic performed so well online that Ilic recruited him to MIT, as a LIDS researcher and edX course teaching assistant, where he grades homework assignments and moderates a lively learner community forum.

    A platform for problem-solving

    The course starts with fundamental concepts in electric power systems operations and management, and it steadily adds layers of complexity, posing real-world problems along the way. Ilic explains how voltage travels from point to point across transmission lines and how grid managers modulate systems to ensure that enough, but not too much, electricity flows. “To deliver power from one location to the next one, operators must constantly make adjustments to ensure that the receiving end can handle the voltage transmitted, optimizing voltage to avoid overheating the wires,” she says.

    In her early lectures, Ilic notes the fundamental constraints of current grid operations, organized around a hierarchy of regional managers dealing with a handful of very large oil, gas, coal, and nuclear power plants, and occupied primarily with the steady delivery of megawatt-hours to far-flung customers. But historically, this top-down structure doesn’t do a good job of preventing loss of energy due to sub-optimal transmission conditions or due to outages related to extreme weather events.

    These issues promise to grow for grid operators as distributed resources such as solar and wind enter the picture, Ilic tells students. In the United States, under new rules dictated by the Federal Energy Regulatory Commission, utilities must begin to integrate the distributed, intermittent electricity produced by wind farms, solar complexes, and even by homes and cars, which flows at voltages much lower than electricity produced by large power plants.

    Finding ways to optimize existing energy systems and to accommodate low- and zero-carbon energy sources requires powerful new modes of analysis and problem-solving. This is where Ilic’s toolbox comes in: a mathematical modeling strategy and companion software that simplifies the input and output of electrical systems, no matter how large or how small. “In the last part of the course, we take up modeling different solutions to electric service in a way that is technology-agnostic, where it only matters how much a black-box energy source produces, and the rates of production and consumption,” says Ilic.

    This black-box modeling approach, which Ilic pioneered in her research, enables students to see, for instance, “what is happening with their own household consumption, and how it affects the larger system,” says Rupamathi Jaddivada PhD ’20, a co-instructor of the edX class and a postdoc in electrical engineering and computer science. “Without getting lost in details of current or voltage, or how different components work, we think about electric energy systems as dynamical components interacting with each other, at different spatial scales.” This means that with just a basic knowledge of physical laws, high school and undergraduate students can take advantage of the course “and get excited about cleaner and more reliable energy,” adds Ilic.

    What Jaddivada and Ilic describe as “zoom in, zoom out” systems thinking leverages the ubiquity of digital communications and the so-called “internet of things.” Energy devices of all scales can link directly to other devices in a network instead of just to a central operations hub, allowing for real-time adjustments in voltage, for instance, vastly improving the potential for optimizing energy flows.

    “In the course, we discuss how information exchange will be key to integrating new end-to-end energy resources and, because of this interactivity, how we can model better ways of controlling entire energy networks,” says Ilic. “It’s a big lesson of the course to show the value of information and software in enabling us to decarbonize the system and build resilience, rather than just building hardware.”

    By the end of the course, students are invited to pursue independent research projects. Some might model the impact of a new energy source on a local grid or investigate different options for reducing energy loss in transmission lines.

    “It would be nice if they see that we don’t have to rely on hardware or large-scale solutions to bring about improved electric service and a clean and resilient grid, but instead on information technologies such as smart components exchanging data in real time, or microgrids in neighborhoods that sustain themselves even when they lose power,” says Ilic. “I hope students walk away convinced that it does make sense to rethink how we operate our basic power systems and that with systematic, physics-based modeling and IT methods we can enable better, more flexible operation in the future.”

    This article appears in the Autumn 2021 issue of Energy Futures, the magazine of the MIT Energy Initiative More

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    3 Questions: Anuradha Annaswamy on building smart infrastructures

    Much of Anuradha Annaswamy’s research hinges on uncertainty. How does cloudy weather affect a grid powered by solar energy? How do we ensure that electricity is delivered to the consumer if a grid is powered by wind and the wind does not blow? What’s the best course of action if a bird hits a plane engine on takeoff? How can you predict the behavior of a cyber attacker?

    A senior research scientist in MIT’s Department of Mechanical Engineering, Annaswamy spends most of her research time dealing with decision-making under uncertainty. Designing smart infrastructures that are resilient to uncertainty can lead to safer, more reliable systems, she says.

    Annaswamy serves as the director of MIT’s Active Adaptive Control Laboratory. A world-leading expert in adaptive control theory, she was named president of the Institute of Electrical and Electronics Engineers Control Systems Society for 2020. Her team uses adaptive control and optimization to account for various uncertainties and anomalies in autonomous systems. In particular, they are developing smart infrastructures in the energy and transportation sectors.

    Using a combination of control theory, cognitive science, economic modeling, and cyber-physical systems, Annaswamy and her team have designed intelligent systems that could someday transform the way we travel and consume energy. Their research includes a diverse range of topics such as safer autopilot systems on airplanes, the efficient dispatch of resources in electrical grids, better ride-sharing services, and price-responsive railway systems.

    In a recent interview, Annaswamy spoke about how these smart systems could help support a safer and more sustainable future.

    Q: How is your team using adaptive control to make air travel safer?

    A: We want to develop an advanced autopilot system that can safely recover the airplane in the event of a severe anomaly — such as the wing becoming damaged mid-flight, or a bird flying into the engine. In the airplane, you have a pilot and autopilot to make decisions. We’re asking: How do you combine those two decision-makers?

    The answer we landed on was developing a shared pilot-autopilot control architecture. We collaborated with David Woods, an expert in cognitive engineering at The Ohio State University, to develop an intelligent system that takes the pilot’s behavior into account. For example, all humans have something known as “capacity for maneuver” and “graceful command degradation” that inform how we react in the face of adversity. Using mathematical models of pilot behavior, we proposed a shared control architecture where the pilot and the autopilot work together to make an intelligent decision on how to react in the face of uncertainties. In this system, the pilot reports the anomaly to an adaptive autopilot system that ensures resilient flight control.

    Q: How does your research on adaptive control fit into the concept of smart cities?

    A: Smart cities are an interesting way we can use intelligent systems to promote sustainability. Our team is looking at ride-sharing services in particular. Services like Uber and Lyft have provided new transportation options, but their impact on the carbon footprint has to be considered. We’re looking at developing a system where the number of passenger-miles per unit of energy is maximized through something called “shared mobility on demand services.” Using the alternating minimization approach, we’ve developed an algorithm that can determine the optimal route for multiple passengers traveling to various destinations.

    As with the pilot-autopilot dynamic, human behavior is at play here. In sociology there is an interesting concept of behavioral dynamics known as Prospect Theory. If we give passengers options with regards to which route their shared ride service will take, we are empowering them with free will to accept or reject a route. Prospect Theory shows that if you can use pricing as an incentive, people are much more loss-averse so they would be willing to walk a bit extra or wait a few minutes longer to join a low-cost ride with an optimized route. If everyone utilized a system like this, the carbon footprint of ride-sharing services could decrease substantially.

    Q: What other ways are you using intelligent systems to promote sustainability?

    A: Renewable energy and sustainability are huge drivers for our research. To enable a world where all of our energy is coming from renewable sources like solar or wind, we need to develop a smart grid that can account for the fact that the sun isn’t always shining and wind isn’t always blowing. These uncertainties are the biggest hurdles to achieving an all-renewable grid. Of course, there are many technologies being developed for batteries that can help store renewable energy, but we are taking a different approach.

    We have created algorithms that can optimally schedule distributed energy resources within the grid — this includes making decisions on when to use onsite generators, how to operate storage devices, and when to call upon demand response technologies, all in response to the economics of using such resources and their physical constraints. If we can develop an interconnected smart grid where, for example, the air conditioning setting in a house is set to 72 degrees instead of 69 degrees automatically when demand is high, there could be a substantial savings in energy usage without impacting human comfort. In one of our studies, we applied a distributed proximal atomic coordination algorithm to the grid in Tokyo to demonstrate how this intelligent system could account for the uncertainties present in a grid powered by renewable resources. More

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    MIT Energy Initiative launches the Future Energy Systems Center

    The MIT Energy Initiative (MITEI) has launched a new research consortium — the Future Energy Systems Center — to address the climate crisis and the role energy systems can play in solving it. This integrated effort engages researchers from across all of MIT to help the global community reach its goal of net-zero carbon emissions. The center examines the accelerating energy transition and collaborates with industrial leaders to reform the world’s energy systems. The center is part of “Fast Forward: MIT’s Climate Action Plan for the Decade,” MIT’s multi-pronged effort announced last year to address the climate crisis.

    The Future Energy Systems Center investigates the emerging technology, policy, demographics, and economics reshaping the landscape of energy supply and demand. The center conducts integrative analysis of the entire energy system — a holistic approach essential to understanding the cross-sectorial impact of the energy transition.

    “We must act quickly to get to net-zero greenhouse gas emissions. At the same time, we have a billion people around the world with inadequate access, or no access, to electricity — and we need to deliver it to them,” says MITEI Director Robert C. Armstrong, the Chevron Professor of Chemical Engineering. “The Future Energy Systems Center combines MIT’s deep knowledge of energy science and technology with advanced tools for systems analysis to examine how advances in technology and system economics may respond to various policy scenarios.”  

    The overarching focus of the center is integrative analysis of the entire energy system, providing insights into the complex multi-sectorial transformations needed to alter the three major energy-consuming sectors of the economy — transportation, industry, and buildings — in conjunction with three major decarbonization-enabling technologies — electricity, energy storage and low-carbon fuels, and carbon management. “Deep decarbonization of our energy system requires an economy-wide perspective on the technology options, energy flows, materials flows, life-cycle emissions, costs, policies, and socioeconomics consequences,” says Randall Field, the center’s executive director. “A systems approach is essential in enabling cross-disciplinary teams to work collaboratively together to address the existential crisis of climate change.”

    Through techno-economic and systems-oriented research, the center analyzes these important interactions. For example:

    •  Increased reliance on variable renewable energy, such as wind and solar, and greater electrification of transportation, industry, and buildings will require expansion of demand management and other solutions for balancing of electricity supply and demand across these areas.

    •  Likewise, balancing supply and demand will require deploying grid-scale energy storage and converting the electricity to low-carbon fuels (hydrogen and liquid fuels), which can in turn play a vital role in the energy transition for hard-to-decarbonize segments of transportation, industry, and buildings.

    •  Carbon management (carbon dioxide capture from industry point sources and from air and oceans; utilization/conversion to valuable products; transport; storage) will also play a critical role in decarbonizing industry, electricity, and fuels — both as carbon-mitigation and negative-carbon solutions.

    As a member-supported research consortium, the center collaborates with industrial experts and leaders — from both energy’s consumer and supplier sides — to gain insights to help researchers anticipate challenges and opportunities of deploying technology at the scale needed to achieve decarbonization. “The Future Energy Systems Center gives us a powerful way to engage with industry to accelerate the energy transition,” says Armstrong. “Working together, we can better understand how our current technology toolbox can be more effectively put to use now to reduce emissions, and what new technologies and policies will ultimately be needed to reach net-zero.”

    A steering committee, made up of 11 MIT professors and led by Armstrong, selects projects to create a research program with high impact on decarbonization, while leveraging MIT strengths and addressing interests of center members in pragmatic and scalable solutions. “MIT — through our recently released climate action plan — is committed to moving with urgency and speed to help wring carbon dioxide emissions out the global economy to resolve the growing climate crisis,” says Armstrong. “We have no time to waste.”

    The center members to date are: AECI, Analog Devices, Chevron, ConocoPhillips, Copec, Dominion, Duke Energy, Enerjisa, Eneva, Eni, Equinor, Eversource, Exelon, ExxonMobil, Ferrovial, Iberdrola, IHI, National Grid, Raizen, Repsol, Rio Tinto, Shell, Tata Power, Toyota Research Institute, and Washington Gas. More

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    Bringing climate reporting to local newsrooms

    Last summer, Nora Hertel, a reporter for the St. Cloud Times in central Minnesota, visited a farm just northeast of the Twin Cities run by the Native American-led nonprofit Dream of Wild Health. The farm raises a mix of vegetables and flowering plants, and has a particular focus on cultivating rare heirloom varieties. It’s also dealing with severely depleted soil, inherited from previous owners who grew corn on the same land. Hertel had come to learn about the techniques the farm was using to restore its soil, many of which were traditional parts of Indigenous farming practice, including planting cover crops over the winter and incorporating burnt wood and manure into the earth.

    The trip was part of a multi-part reporting project that Hertel undertook as an inaugural fellow in a new program from the MIT Environmental Solutions Initiative (ESI). The ESI Journalism Fellowship was created to help local reporters around the United States connect climate change science and solutions with issues that are already of importance to their audiences — particularly in areas where many people are still unclear or unsure about climate change. For Hertel, that meant visiting 10 farms and forest lands across Minnesota to understand how natural climate solutions are taking shape in her state. The practices she saw at the Dream of Wild Health farm not only helped to restore soil, but also helped slow climate change by taking carbon dioxide out of the air and storing it in soils and plants.

    “There is enthusiasm for natural climate solutions,” Hertel says, but these practices can be expensive and difficult to adopt. She wanted to explain the benefits and the hurdles, especially for farmers and land managers considering new agricultural techniques.

    Hertel produced six news pieces for the St. Cloud Times as part of her project, as well as a six-episode podcast series and two videos. To conclude the series, she ran a public event where 130 attendees — including conventional farmers, regenerative farmers, state senators, the St. Cloud mayor, and other community stakeholders — gathered outside in the 40-degree Fahrenheit cold to discuss carbon markets in Minnesota. The stories were republished in 12 additional outlets, including USA Today, Associated Press, Yahoo News, and US News & World Report. 

    “I had been hoping to write about cover crops and carbon markets for about two years before I pitched my project to ESI,” says Hertel. “I hadn’t been able to take the time and resources with all my other responsibilities. Joining the fellowship allowed me to focus on those topics and dive in deep to understand how much is uncertain and changing in the field right now.”

    Supporting local climate reporting

    In today’s news landscape, local coverage is dwindling, which has major effects on the ways people hear about climate change. At times, the only in-depth climate coverage available is covered by specialty or national publications, which can miss the opportunity to understand the nuances of the communities they are parachuting into.

    “Climate change is or will impact all of us, but many Americans don’t see it as relevant to their lives,” says Laur Hesse Fisher, program director at the ESI, who created and manages the fellowship program. “We’re working to help change that.”

    In this first year of the fellowship, five local journalists were selected from around the country to pursue long-form or serial climate-focused reporting. Fellows received funding and stipends to help them dedicate extra time and resources to their projects. They gathered virtually for workshops and were connected with MIT experts in a variety of relevant fields: scientists such as Adam Schlosser, senior research scientist and deputy director for science research at the MIT Joint Program on the Science and Policy of Global Change; economists and policy experts such as Joshua Hodge, executive director of the MIT Center for Energy and Environmental Policy Research (CEEPR); and journalism experts from the MIT Knight Science Journalism Program.

    Fellows were also given full access to MIT’s extensive library databases and geographic data visualization tools, along with tools focused specifically on climate science and policy like the MIT Socio-Environmental Triage platform and CEEPR’s working papers. All these resources aimed to give the journalism fellows the backing they needed to undertake ambitious projects on climate issues their audiences might otherwise never have known were playing out right in their backyards.

    Stories around the country

    The result was five distinct reporting projects spread across the United States.

    ESI Fellow Tristan Baurick is an environment reporter for the Times Picayune | New Orleans Advocate, Louisiana’s largest newspaper. His multi-part series, “Wind of Change: How the Gulf of Mexico could be the next offshore wind powerhouse,” ran on the front page of the Thanksgiving print edition of the paper. It explores how the state’s offshore oil companies are pivoting to support the emerging wind energy industry, as well as the outcomes of the U.S.’s first offshore wind farm in Rhode Island, which Baurick visited on an extended reporting trip. The series looks at the history of Louisiana, which, despite being a hub for wind engineering technology production, has seen most of that technology exported. “The project relied on experts from the oil and gas industry to introduce the idea of offshore wind energy and the opportunities it could offer the region,” says Baurick. “This approach made readers who are skeptical of climate change and renewable energy let their guard down and consider these topics with a more open mind.”

    Oregon-based environmental journalist Alex Schwartz explored water rights and climate change within the Klamath River Basin for the Herald & News. The result was a five-part digital series that examines the many stakeholders, including Indigenous groups, farmers, fishers, and park managers, who depend on the Klamath River for water even as the region enters a period of extended climate change-induced drought. “The fellowship provided me with financial resources to be able to execute a project at this scale,” says Schwartz. “We never would have been able to take the time off and travel throughout the basin without the support of the fellowship.”

    Melba Newsome is a North Carolina-based independent reporter. Her two-part series for NC Health News focuses on Smithfield’s Foods, whose hog houses continue to have lasting health and environmental implications for majority Black communities in the southeastern part of the state. The series, which has been republished by Indy Weekly, the Daily Yonder, and others, interviews residents and activists to untangle a history of legal battles, neglect, and accusations of environmental racism — while noting that sea-level rise has made the region increasingly vulnerable to dangerous releases of waste from its growing factory farms.

    The final project supported by the fellowship came from Wyoming, famous for its vast outdoors and coal industry. In his three-part series for WyoFile, journalist Dustin Bleizeffer — whose beat shifted from education to energy and climate in part as a result of his fellowship — spoke to local residents to capture their personal experiences of warming temperatures and changing landscapes. “[Of] the people I interviewed and featured in my reporting … all but one are climate skeptics, but they spoke in detail about climate changes they’ve observed, and very eloquently described their concerns,” says Bleizeffer. “I’m still receiving comments and enthusiasm to keep the conversation going.” He also looked at how two Wyoming counties, Gillette and Campbell, are faring through the coal industry’s decline. His series provided a boost to efforts by grassroots organizations and conservation groups that are trying to open “the climate conversation” in the state.

    Lessons for climate conversations

    All five fellows joined ESI for a wrap-up event on Nov. 4, Connecting with Americans on Climate Change, which both showcased their work and gave them the opportunity to publicly discuss ways to engage Americans across the political spectrum on climate change.

    The event was joined by sociologist Arlie Russell Hochschild, author of the bestselling “Strangers in Their Own Land: Anger and Mourning on the American Right,” who had earlier joined the fellows in one of their workshops to offer her own experience engaging with people who feel ill-served by the national media. Her book, which followed members of the Tea Party in Louisiana for five years, illustrates the importance of deep listening to bridging America’s social and political divides. Hochschild applied this insight to climate change in talking with the fellows and event attendees about strategies to understand and respond to local perspectives on what is often framed as a contentious political issue. “Sociology gives us forgiveness; [it] gets blame and guilt out of the picture,” said Hochschild.

    That was an insight echoed by several of the journalism fellows. “I think rural people feel blamed a lot for every problem,” said Schwartz. “If we were to take the carbon footprint of the Klamath River Basin, it would be minuscule compared to any corporation, right? … We have to create that safety net for our communities to be able to bear the brunt of these cascading disasters that are already occurring and are just going to get worse in the future. Focusing on the adaptation side was really helpful in terms of just getting people to talk about climate change.”

    Other fellows had their own strategies for opening conversations about climate change — and by responding to their audiences’ concerns, they did see opportunities for change in their reporting. In Wyoming, Bleizeffer talked about the need to retain young people in the state, and about changes to landscapes residents loved. Newsome emphasized that people need to see climate change as not someone else’s problem — for her audience, it illustrated and exacerbated injustices they were already feeling.

    And Hertel, speaking of the conventional farmers, everyday people, and local government officials featured in her series, left event attendees with one more insight about effective climate reporting. “Don’t expect people to change on a dime,” she said. “You must bring people [along] on the journey.”

    ESI will be opening journalism fellowship applications for its second cohort later this year. Experienced reporters are encouraged to apply. If you are interested in supporting this fellowship or are curious about opportunities for partnerships, please contact Laur Hesse Fisher. More

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    Pricing carbon, valuing people

    In November, inflation hit a 39-year high in the United States. The consumer price index was up 6.8 percent from the previous year due to major increases in the cost of rent, food, motor vehicles, gasoline, and other common household expenses. While inflation impacts the entire country, its effects are not felt equally. At greatest risk are low- and middle-income Americans who may lack sufficient financial reserves to absorb such economic shocks.

    Meanwhile, scientists, economists, and activists across the political spectrum continue to advocate for another potential systemic economic change that many fear will also put lower-income Americans at risk: the imposition of a national carbon price, fee, or tax. Framed by proponents as the most efficient and cost-effective way to reduce greenhouse gas emissions and meet climate targets, a carbon penalty would incentivize producers and consumers to shift expenditures away from carbon-intensive products and services (e.g., coal or natural gas-generated electricity) and toward low-carbon alternatives (e.g., 100 percent renewable electricity). But if not implemented in a way that takes differences in household income into account, this policy strategy, like inflation, could place an unequal and untenable economic burden on low- and middle-income Americans.         

    To garner support from policymakers, carbon-penalty proponents have advocated for policies that recycle revenues from carbon penalties to all or lower-income taxpayers in the form of payroll tax reductions or lump-sum payments. And yet some of these proposed policies run the risk of reducing the overall efficiency of the U.S. economy, which would lower the nation’s GDP and impede its economic growth.

    Which begs the question: Is there a sweet spot at which a national carbon-penalty revenue-recycling policy can both avoid inflicting economic harm on lower-income Americans at the household level and degrading economic efficiency at the national level?

    In search of that sweet spot, researchers at the MIT Joint Program on the Science and Policy of Global Change assess the economic impacts of four different carbon-penalty revenue-recycling policies: direct rebates from revenues to households via lump-sum transfers; indirect refunding of revenues to households via a proportional reduction in payroll taxes; direct rebates from revenues to households, but only for low- and middle-income groups, with remaining revenues recycled via a proportional reduction in payroll taxes; and direct, higher rebates for poor households, with remaining revenues recycled via a proportional reduction in payroll taxes.

    To perform the assessment, the Joint Program researchers integrate a U.S. economic model (MIT U.S. Regional Energy Policy) with a dataset (Bureau of Labor Statistics’ Consumer Expenditure Survey) providing consumption patterns and other socioeconomic characteristics for 15,000 U.S. households. Using the combined model, they evaluate the distributional impacts and potential trade-offs between economic equity and efficiency of all four carbon-penalty revenue-recycling policies.

    The researchers find that household rebates have progressive impacts on consumers’ financial well-being, with the greatest benefits going to the lowest-income households, while policies centered on improving the efficiency of the economy (e.g., payroll tax reductions) have slightly regressive household-level financial impacts. In a nutshell, the trade-off is between rebates that provide more equity and less economic efficiency versus tax cuts that deliver the opposite result. The latter two policy options, which combine rebates to lower-income households with payroll tax reductions, result in an optimal blend of sufficiently progressive financial results at the household level and economy efficiency at the national level. Results of the study are published in the journal Energy Economics.

    “We have determined that only a portion of carbon-tax revenues is needed to compensate low-income households and thus reduce inequality, while the rest can be used to improve the economy by reducing payroll or other distortionary taxes,” says Xaquin García-Muros, lead author of the study, a postdoc at the MIT Joint Program who is affiliated with the Basque Centre for Climate Change in Spain. “Therefore, we can eliminate potential trade-offs between efficiency and equity, and promote a just and efficient energy transition.”

    “If climate policies increase the gap between rich and poor households or reduce the affordability of energy services, then these policies might be rejected by the public and, as a result, attempts to decarbonize the economy will be less efficient,” says Joint Program Deputy Director Sergey Paltsev, a co-author of the study. “Our findings provide guidance to decision-makers to advance more well-designed policies that deliver economic benefits to the nation as a whole.” 

    The study’s novel integration of a national economic model with household microdata creates a new and powerful platform to further investigate key differences among households that can help inform policies aimed at a just transition to a low-carbon economy. More

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    Overcoming a bottleneck in carbon dioxide conversion

    If researchers could find a way to chemically convert carbon dioxide into fuels or other products, they might make a major dent in greenhouse gas emissions. But many such processes that have seemed promising in the lab haven’t performed as expected in scaled-up formats that would be suitable for use with a power plant or other emissions sources.

    Now, researchers at MIT have identified, quantified, and modeled a major reason for poor performance in such conversion systems. The culprit turns out to be a local depletion of the carbon dioxide gas right next to the electrodes being used to catalyze the conversion. The problem can be alleviated, the team found, by simply pulsing the current off and on at specific intervals, allowing time for the gas to build back up to the needed levels next to the electrode.

    The findings, which could spur progress on developing a variety of materials and designs for electrochemical carbon dioxide conversion systems, were published today in the journal Langmuir, in a paper by MIT postdoc Álvaro Moreno Soto, graduate student Jack Lake, and professor of mechanical engineering Kripa Varanasi.

    “Carbon dioxide mitigation is, I think, one of the important challenges of our time,” Varanasi says. While much of the research in the area has focused on carbon capture and sequestration, in which the gas is pumped into some kind of deep underground reservoir or converted to an inert solid such as limestone, another promising avenue has been converting the gas into other carbon compounds such as methane or ethanol, to be used as fuel, or ethylene, which serves as a precursor to useful polymers.

    There are several ways to do such conversions, including electrochemical, thermocatalytic, photothermal, or photochemical processes. “Each of these has problems or challenges,” Varanasi says. The thermal processes require very high temperature, and they don’t produce very high-value chemical products, which is a challenge with the light-activated processes as well, he says. “Efficiency is always at play, always an issue.”

    The team has focused on the electrochemical approaches, with a goal of getting “higher-C products” — compounds that contain more carbon atoms and tend to be higher-value fuels because of their energy per weight or volume. In these reactions, the biggest challenge has been curbing competing reactions that can take place at the same time, especially the splitting of water molecules into oxygen and hydrogen.

    The reactions take place as a stream of liquid electrolyte with the carbon dioxide dissolved in it passes over a metal catalytic surface that is electrically charged. But as the carbon dioxide gets converted, it leaves behind a region in the electrolyte stream where it has essentially been used up, and so the reaction within this depleted zone turns toward water splitting instead. This unwanted reaction uses up energy and greatly reduces the overall efficiency of the conversion process, the researchers found.

    “There’s a number of groups working on this, and a number of catalysts that are out there,” Varanasi says. “In all of these, I think the hydrogen co-evolution becomes a bottleneck.”

    One way of counteracting this depletion, they found, can be achieved by a pulsed system — a cycle of simply turning off the voltage, stopping the reaction and giving the carbon dioxide time to spread back into the depleted zone and reach usable levels again, and then resuming the reaction.

    Often, the researchers say, groups have found promising catalyst materials but haven’t run their lab tests long enough to observe these depletion effects, and thus have been frustrated in trying to scale up their systems. Furthermore, the concentration of carbon dioxide next to the catalyst dictates the products that are made. Hence, depletion can also change the mix of products that are produced and can make the process unreliable. “If you want to be able to make a system that works at industrial scale, you need to be able to run things over a long period of time,” Varanasi says, “and you need to not have these kinds of effects that reduce the efficiency or reliability of the process.”

    The team studied three different catalyst materials, including copper, and “we really focused on making sure that we understood and can quantify the depletion effects,” Lake says. In the process they were able to develop a simple and reliable way of monitoring the efficiency of the conversion process as it happens, by measuring the changing pH levels, a measure of acidity, in the system’s electrolyte.

    In their tests, they used more sophisticated analytical tools to characterize reaction products, including gas chromatography for analysis of the gaseous products, and nuclear magnetic resonance characterization for the system’s liquid products. But their analysis showed that the simple pH measurement of the electrolyte next to the electrode during operation could provide a sufficient measure of the efficiency of the reaction as it progressed.

    This ability to easily monitor the reaction in real-time could ultimately lead to a system optimized by machine-learning methods, controlling the production rate of the desired compounds through continuous feedback, Moreno Soto says.

    Now that the process is understood and quantified, other approaches to mitigating the carbon dioxide depletion might be developed, the researchers say, and could easily be tested using their methods.

    This work shows, Lake says, that “no matter what your catalyst material is” in such an electrocatalytic system, “you’ll be affected by this problem.” And now, by using the model they developed, it’s possible to determine exactly what kind of time window needs to be evaluated to get an accurate sense of the material’s overall efficiency and what kind of system operations could maximize its effectiveness.

    The research was supported by Shell, through the MIT Energy Initiative. More

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    Seeing the plasma edge of fusion experiments in new ways with artificial intelligence

    To make fusion energy a viable resource for the world’s energy grid, researchers need to understand the turbulent motion of plasmas: a mix of ions and electrons swirling around in reactor vessels. The plasma particles, following magnetic field lines in toroidal chambers known as tokamaks, must be confined long enough for fusion devices to produce significant gains in net energy, a challenge when the hot edge of the plasma (over 1 million degrees Celsius) is just centimeters away from the much cooler solid walls of the vessel.

    Abhilash Mathews, a PhD candidate in the Department of Nuclear Science and Engineering working at MIT’s Plasma Science and Fusion Center (PSFC), believes this plasma edge to be a particularly rich source of unanswered questions. A turbulent boundary, it is central to understanding plasma confinement, fueling, and the potentially damaging heat fluxes that can strike material surfaces — factors that impact fusion reactor designs.

    To better understand edge conditions, scientists focus on modeling turbulence at this boundary using numerical simulations that will help predict the plasma’s behavior. However, “first principles” simulations of this region are among the most challenging and time-consuming computations in fusion research. Progress could be accelerated if researchers could develop “reduced” computer models that run much faster, but with quantified levels of accuracy.

    For decades, tokamak physicists have regularly used a reduced “two-fluid theory” rather than higher-fidelity models to simulate boundary plasmas in experiment, despite uncertainty about accuracy. In a pair of recent publications, Mathews begins directly testing the accuracy of this reduced plasma turbulence model in a new way: he combines physics with machine learning.

    “A successful theory is supposed to predict what you’re going to observe,” explains Mathews, “for example, the temperature, the density, the electric potential, the flows. And it’s the relationships between these variables that fundamentally define a turbulence theory. What our work essentially examines is the dynamic relationship between two of these variables: the turbulent electric field and the electron pressure.”

    In the first paper, published in Physical Review E, Mathews employs a novel deep-learning technique that uses artificial neural networks to build representations of the equations governing the reduced fluid theory. With this framework, he demonstrates a way to compute the turbulent electric field from an electron pressure fluctuation in the plasma consistent with the reduced fluid theory. Models commonly used to relate the electric field to pressure break down when applied to turbulent plasmas, but this one is robust even to noisy pressure measurements.

    In the second paper, published in Physics of Plasmas, Mathews further investigates this connection, contrasting it against higher-fidelity turbulence simulations. This first-of-its-kind comparison of turbulence across models has previously been difficult — if not impossible — to evaluate precisely. Mathews finds that in plasmas relevant to existing fusion devices, the reduced fluid model’s predicted turbulent fields are consistent with high-fidelity calculations. In this sense, the reduced turbulence theory works. But to fully validate it, “one should check every connection between every variable,” says Mathews.

    Mathews’ advisor, Principal Research Scientist Jerry Hughes, notes that plasma turbulence is notoriously difficult to simulate, more so than the familiar turbulence seen in air and water. “This work shows that, under the right set of conditions, physics-informed machine-learning techniques can paint a very full picture of the rapidly fluctuating edge plasma, beginning from a limited set of observations. I’m excited to see how we can apply this to new experiments, in which we essentially never observe every quantity we want.”

    These physics-informed deep-learning methods pave new ways in testing old theories and expanding what can be observed from new experiments. David Hatch, a research scientist at the Institute for Fusion Studies at the University of Texas at Austin, believes these applications are the start of a promising new technique.

    “Abhi’s work is a major achievement with the potential for broad application,” he says. “For example, given limited diagnostic measurements of a specific plasma quantity, physics-informed machine learning could infer additional plasma quantities in a nearby domain, thereby augmenting the information provided by a given diagnostic. The technique also opens new strategies for model validation.”

    Mathews sees exciting research ahead.

    “Translating these techniques into fusion experiments for real edge plasmas is one goal we have in sight, and work is currently underway,” he says. “But this is just the beginning.”

    Mathews was supported in this work by the Manson Benedict Fellowship, Natural Sciences and Engineering Research Council of Canada, and U.S. Department of Energy Office of Science under the Fusion Energy Sciences program.​ More