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      in Energy

      First-ever Climate Grand Challenges recognizes 27 finalists

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      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 Environment

      3 Questions: What a single car can say about traffic

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      Vehicle traffic has long defied description. Once measured roughly through visual inspection and traffic cameras, new smartphone crowdsourcing tools are now quantifying traffic far more precisely. This popular method, however, also presents a problem: Accurate measurements require a lot of data and users.

      Meshkat Botshekan, an MIT PhD student in civil and environmental engineering and research assistant at the MIT Concrete Sustainability Hub, has sought to expand on crowdsourcing methods by looking into the physics of traffic. During his time as a doctoral candidate, he has helped develop Carbin, a smartphone-based roadway crowdsourcing tool created by MIT CSHub and the University of Massachusetts Dartmouth, and used its data to offer more insight into the physics of traffic — from the formation of traffic jams to the inference of traffic phase and driving behavior. Here, he explains how recent findings can allow smartphones to infer traffic properties from the measurements of a single vehicle.  

      Q: Numerous navigation apps already measure traffic. Why do we need alternatives?

      A: Traffic characteristics have always been tough to measure. In the past, visual inspection and cameras were used to produce traffic metrics. So, there’s no denying that today’s navigation tools apps offer a superior alternative. Yet even these modern tools have gaps.

      Chief among them is their dependence on spatially distributed user counts: Essentially, these apps tally up their users on road segments to estimate the density of traffic. While this approach may seem adequate, it is both vulnerable to manipulation, as demonstrated in some viral videos, and requires immense quantities of data for reliable estimates. Processing these data is so time- and resource-intensive that, despite their availability, they can’t be used to quantify traffic effectively across a whole road network. As a result, this immense quantity of traffic data isn’t actually optimal for traffic management.

      Q: How could new technologies improve how we measure traffic?

      A: New alternatives have the potential to offer two improvements over existing methods: First, they can extrapolate far more about traffic with far fewer data. Second, they can cost a fraction of the price while offering a far simpler method of data collection. Just like Waze and Google Maps, they rely on crowdsourcing data from users. Yet, they are grounded in the incorporation of high-level statistical physics into data analysis.

      For instance, the Carbin app, which we are developing in collaboration with UMass Dartmouth, applies principles of statistical physics to existing traffic models to entirely forgo the need for user counts. Instead, it can infer traffic density and driver behavior using the input of a smartphone mounted in single vehicle.

      The method at the heart of the app, which was published last fall in Physical Review E, treats vehicles like particles in a many-body system. Just as the behavior of a closed many-body system can be understood through observing the behavior of an individual particle relying on the ergodic theorem of statistical physics, we can characterize traffic through the fluctuations in speed and position of a single vehicle across a road. As a result, we can infer the behavior and density of traffic on a segment of a road.

      As far less data is required, this method is more rapid and makes data management more manageable. But most importantly, it also has the potential to make traffic data less expensive and accessible to those that need it.

      Q: Who are some of the parties that would benefit from new technologies?

      A: More accessible and sophisticated traffic data would benefit more than just drivers seeking smoother, faster routes. It would also enable state and city departments of transportation (DOTs) to make local and collective interventions that advance the critical transportation objectives of equity, safety, and sustainability.

      As a safety solution, new data collection technologies could pinpoint dangerous driving conditions on a much finer scale to inform improved traffic calming measures. And since socially vulnerable communities experience traffic violence disproportionately, these interventions would have the added benefit of addressing pressing equity concerns. 

      There would also be an environmental benefit. DOTs could mitigate vehicle emissions by identifying minute deviations in traffic flow. This would present them with more opportunities to mitigate the idling and congestion that generate excess fuel consumption.  

      As we’ve seen, these three challenges have become increasingly acute, especially in urban areas. Yet, the data needed to address them exists already — and is being gathered by smartphones and telematics devices all over the world. So, to ensure a safer, more sustainable road network, it will be crucial to incorporate these data collection methods into our decision-making. More

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      in Energy

      Investors awaken to the risks of climate change

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      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

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      in Environment

      Students dive into research with the MIT Climate and Sustainability Consortium

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      Throughout the fall 2021 semester, the MIT Climate and Sustainability Consortium (MCSC) supported several research projects with a climate-and-sustainability topic related to the consortium, through the MIT Undergraduate Research Opportunities Program (UROP). These students, who represent a range of disciplines, had the opportunity to work with MCSC Impact Fellows on topics related directly to the ongoing work and collaborations with MCSC member companies and the broader MIT community, from carbon capture to value-chain resilience to biodegradables. Many of these students are continuing their work this spring semester.

      Hannah Spilman, who is studying chemical engineering, worked with postdoc Glen Junor, an MCSC Impact Fellow, to investigate carbon capture, utilization, and storage (CCUS), with the goal of facilitating CCUS on a gigaton scale, a much larger capacity than what currently exists. “Scientists agree CCUS will be an important tool in combating climate change, but the largest CCUS facility only captures CO2 on a megaton scale, and very few facilities are actually operating,” explains Spilman. 

      Throughout her UROP, she worked on analyzing the currently deployed technology in the CCUS field, using National Carbon Capture Center post-combustion project reports to synthesize the results and outline those technologies. Examining projects like the RTI-NAS experiment, which showcased innovation with carbon capture technology, was especially helpful. “We must first understand where we are, and as we continue to conduct analyses, we will be able to understand the field’s current state and path forward,” she concludes.

      Fellow chemical engineering students Claire Kim and Alfonso Restrepo are working with postdoc and MCSC Impact Fellow Xiangkun (Elvis) Cao, also on investigating CCUS technology. Kim’s focus is on life cycle assessment (LCA), while Restrepo’s focus is on techno-economic assessment (TEA). They have been working together to use the two tools to evaluate multiple CCUS technologies. While LCA and TEA are not new tools themselves, their application in CCUS has not been comprehensively defined and described. “CCUS can play an important role in the flexible, low-carbon energy systems,” says Kim, which was part of the motivation behind her project choice.

      Through TEA, Restrepo has been investigating how various startups and larger companies are incorporating CCUS technology in their processes. “In order to reduce CO2 emissions before it’s too late to act, there is a strong need for resources that effectively evaluate CCUS technology, to understand the effectiveness and viability of emerging technology for future implementation,” he explains. For their next steps, Kim and Restrepo will apply LCA and TEA to the analysis of a specific capture (for example, direct ocean capture) or conversion (for example, CO2-to-fuel conversion) process​ in CCUS.

      Cameron Dougal, a first-year student, and James Santoro, studying management, both worked with postdoc and MCSC Impact Fellow Paloma Gonzalez-Rojas on biodegradable materials. Dougal explored biodegradable packaging film in urban systems. “I have had a longstanding interest in sustainability, with a newer interest in urban planning and design, which motivated me to work on this project,” Dougal says. “Bio-based plastics are a promising step for the future.”

      Dougal spent time conducting internet and print research, as well as speaking with faculty on their relevant work. From these efforts, Dougal has identified important historical context for the current recycling landscape — as well as key case studies and cities around the world to explore further. In addition to conducting more research, Dougal plans to create a summary and statistic sheet.

      Santoro dove into the production angle, working on evaluating the economic viability of the startups that are creating biodegradable materials. “Non-renewable plastics (created with fossil fuels) continue to pollute and irreparably damage our environment,” he says. “As we look for innovative solutions, a key question to answer is how can we determine a more effective way to evaluate the economic viability and probability of success for new startups and technologies creating biodegradable plastics?” The project aims to develop an effective framework to begin to answer this.

      At this point, Santoro has been understanding the overall ecosystem, understanding how these biodegradable materials are developed, and analyzing the economics side of things. He plans to have conversations with company founders, investors, and experts, and identify major challenges for biodegradable technology startups in creating high performance products with attractive unit economics. There is also still a lot to research about new technologies and trends in the industry, the profitability of different products, as well as specific individual companies doing this type of work.

      Tess Buchanan, who is studying materials science and engineering, is working with Katharina Fransen and Sarah Av-Ron, MIT graduate students in the Department of Chemical Engineering, and principal investigator Professor Bradley Olsen, to also explore biodegradables by looking into their development from biomass “This is critical work, given the current plastics sustainability crisis, and the potential of bio-based polymers,” Buchanan says.

      The objective of the project is to explore new sustainable polymers through a biodegradation assay using clear zone growth analysis to yield degradation rates. For next steps, Buchanan is diving into synthesis expansion and using machine learning to understand the relationship between biodegradation and polymer chemistry.

      Kezia Hector, studying chemical engineering, and Tamsin Nottage, a first-year student, working with postdoc and MCSC Impact Fellow Sydney Sroka, explored advancing and establishing sustainable solutions for value chain resilience. Hector’s focus was understanding how wildfires can affect supply chains, specifically identifying sources of economic loss. She reviewed academic literature and news articles, and looked at the Amazon, California, Siberia, and Washington, finding that wildfires cause millions of dollars in damage every year and impact supply chains by cutting off or slowing down freight activity. She will continue to identify ways to make supply chains more resilient and sustainable.

      Nottage focused on the economic impact of typhoons, closely studying Typhoon Mangkhut, a powerful and catastrophic tropical cyclone that caused extensive damages of $593 million in Guam, the Philippines, and South China in September 2018. “As a Bahamian, I’ve witnessed the ferocity of hurricanes and challenges of rebuilding after them,” says Nottage. “I used this project to identify the tropical cyclones that caused the most extensive damage for further investigation.”She compiled the causes of damage and their costs to inform targets of supply chain resiliency reform (shipping, building materials, power supply, etc.). As a next step, Nottage will focus on modeling extreme events like Mangkunt to develop frameworks that companies can learn from and utilize to build more sustainable supply chains in the future.

      Ellie Vaserman, a first-year student working with postdoc and MCSC Impact Fellow Poushali Maji, also explored a topic related to value chains: unlocking circularity across the entire value chain through quality improvement, inclusive policy, and behavior to improve materials recovery. Specifically, her objectives have been to learn more about methods of chemolysis and the viability of their products, to compare methods of chemical recycling of polyethylene terephthalate (PET) using quantitative metrics, and to design qualitative visuals to make the steps in PET chemical recycling processes more understandable.

      To do so, she conducted a literature review to identify main methods of chemolysis that are utilized in the field (and collect data about these methods) and created graphics for some of the more common processes. Moving forward, she hopes to compare the processes using other metrics and research the energy intensity of the monomer purification processes.

      The work of these students, as well as many others, continued over MIT’s Independent Activities Period in January. More

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      in Environment

      Reducing methane emissions at landfills

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      The second-largest driver of global warming is methane, a greenhouse gas 28 times more potent than carbon dioxide. Landfills are a major source of methane, which is created when organic material decomposes underground.

      Now a startup that began at MIT is aiming to significantly reduce methane emissions from landfills with a system that requires no extra land, roads, or electric lines to work. The company, Loci Controls, has developed a solar-powered system that optimizes the collection of methane from landfills so more of it can be converted into natural gas.

      At the center of Loci’s (pronounced “low-sigh”) system is a lunchbox-sized device that attaches to methane collection wells, which vacuum the methane up to the surface for processing. The optimal vacuum force changes with factors like atmospheric pressure and temperature. Loci’s system monitors those factors and adjusts the vacuum force at each well far more frequently than is possible with field technicians making manual adjustments.

      “We expect to reduce methane emissions more than any other company in the world over the next five years,” Loci Controls CEO Peter Quigley ’85 says. The company was founded by Melinda Hale Sims SM ’09, PhD ’12 and Andrew Campanella ’05, SM ’13.

      The reason for Quigley’s optimism is the high concentration of landfill methane emissions. Most landfill emissions in the U.S. come from about 1,000 large dumps. Increasing collection of methane at those sites could make a significant dent in the country’s overall emissions.

      In one landfill where Loci’s system was installed, for instance, the company says it increased methane sales at an annual rate of 180,000 metric tons of carbon dioxide equivalent. That’s about the same as removing 40,000 cars from the road for a year.

      Loci’s system is currently installed on wells in 15 different landfills. Quigley says only about 70 of the 1,000 big landfills in the U.S. sell gas profitably. Most of the others burn the gas. But Loci’s team believes increasing public and regulatory pressure will help expands its potential customer base.

      Uncovering a major problem

      The idea for Loci came from a revelation by Sims’ father, serial entrepreneur Michael Hale SM ’85, PhD ’89. The elder Hale was working in wastewater management when he was contacted by a landfill in New York that wanted help using its excess methane gas.

      “He realized if he could help that particular landfill with the problem, it would apply to almost any landfill,” Sims says.

      At the time, Sims was pursuing her PhD in mechanical engineering at MIT and minoring in entrepreneurship.

      Her father didn’t have time to work on the project, but Sims began exploring technology solutions to improve methane capture at landfills in her business classes. The work was unrelated to her PhD, but her advisor, David Hardt, the Ralph E. and Eloise F. Cross Professor in Manufacturing at MIT, was understanding. (Hardt had also served as PhD advisor for Sim’s father, who was, after all, the person to blame for Sim’s new side project.)

      Sims partnered with Andrew Campanella, then a master’s student focused on electrical engineering, and the two went through the delta v summer accelerator program hosted by the Martin Trust Center for MIT Entrepreneurship.

      Quigley was retired but serving on multiple visiting committees at MIT when he began mentoring Loci’s founders. He’d spent his career commercializing reinforced plastic through two companies, one in the high-performance sporting goods industry and the other in oil field services.

      “What captured my imagination was the emissions-reduction opportunity,” Quigley says.

      Methane is generated in landfills when organic waste decomposes. Some landfill operators capture the methane by drilling hundreds of collection wells. The vacuum pressure of those wells needs to be adjusted to maximize the amount of methane collected, but Quigley says technicians can only make those adjustments manually about once a month.

      Loci’s devices monitor gas composition, temperature, and environmental factors like barometric pressure to optimize vacuum power every hour. The data the controllers collect is aggregated in an analytics platform for technicians to monitor remotely. That data can also be used to pinpoint well failure events, such as flooding during rain, and otherwise improve operations to increase the amount of methane captured.

      “We can adjust the valves automatically, but we also have data that allows on-site operators to identify and remedy problems much more quickly,” Quigley explains.

      Furthering a high-impact mission

      Methane capture at landfills is becoming more urgent as improvements in detection technologies are revealing discrepancies between methane emission estimates and reality in the industry. A new airborne methane sensor deployed by NASA, for instance, found that California landfills have been leaking methane at rates as much as six times greater than estimates from the U.S. Environmental Protection Agency. The difference has major implications for the Earth’s atmosphere.

      A reckoning will have to occur to motivate more waste management companies to start collecting methane and to optimize methane capture. That could come in the form of new collection standards or an increased emphasis on methane collection from investors. (Funds controlled by billionaires Bill Gates and Larry Fink are major investors in waste management companies.)

      For now, Loci’s team, including co-founder and current senior advisor Sims, believes it’s on the road to making a meaningful impact under current market conditions.

      “When I was in grad school, the majority of the focus on emissions was on CO2,” Sims says. “I think methane is a really high-impact place to be focused, and I think it’s been underestimated how valuable it could be to apply technology to the industry.” More

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      in Energy

      Energizing communities in Africa

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      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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      in Energy

      Preparing global online learners for the clean energy transition

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      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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      in Energy

      3 Questions: Anuradha Annaswamy on building smart infrastructures

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      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