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      in Energy

      Ocean scientists measure sediment plume stirred up by deep-sea-mining vehicle

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      What will be the impact to the ocean if humans are to mine the deep sea? It’s a question that’s gaining urgency as interest in marine minerals has grown.

      The ocean’s deep-sea bed is scattered with ancient, potato-sized rocks called “polymetallic nodules” that contain nickel and cobalt — minerals that are in high demand for the manufacturing of batteries, such as for powering electric vehicles and storing renewable energy, and in response to factors such as increasing urbanization. The deep ocean contains vast quantities of mineral-laden nodules, but the impact of mining the ocean floor is both unknown and highly contested.

      Now MIT ocean scientists have shed some light on the topic, with a new study on the cloud of sediment that a collector vehicle would stir up as it picks up nodules from the seafloor.

      The study, appearing today in Science Advances, reports the results of a 2021 research cruise to a region of the Pacific Ocean known as the Clarion Clipperton Zone (CCZ), where polymetallic nodules abound. There, researchers equipped a pre-prototype collector vehicle with instruments to monitor sediment plume disturbances as the vehicle maneuvered across the seafloor, 4,500 meters below the ocean’s surface. Through a sequence of carefully conceived maneuvers. the MIT scientists used the vehicle to monitor its own sediment cloud and measure its properties.

      Their measurements showed that the vehicle created a dense plume of sediment in its wake, which spread under its own weight, in a phenomenon known in fluid dynamics as a “turbidity current.” As it gradually dispersed, the plume remained relatively low, staying within 2 meters of the seafloor, as opposed to immediately lofting higher into the water column as had been postulated.

      “It’s quite a different picture of what these plumes look like, compared to some of the conjecture,” says study co-author Thomas Peacock, professor of mechanical engineering at MIT. “Modeling efforts of deep-sea mining plumes will have to account for these processes that we identified, in order to assess their extent.”

      The study’s co-authors include lead author Carlos Muñoz-Royo, Raphael Ouillon, and Souha El Mousadik of MIT; and Matthew Alford of the Scripps Institution of Oceanography.

      Deep-sea maneuvers

      To collect polymetallic nodules, some mining companies are proposing to deploy tractor-sized vehicles to the bottom of the ocean. The vehicles would vacuum up the nodules along with some sediment along their path. The nodules and sediment would then be separated inside of the vehicle, with the nodules sent up through a riser pipe to a surface vessel, while most of the sediment would be discharged immediately behind the vehicle.

      Peacock and his group have previously studied the dynamics of the sediment plume that associated surface operation vessels may pump back into the ocean. In their current study, they focused on the opposite end of the operation, to measure the sediment cloud created by the collectors themselves.

      In April 2021, the team joined an expedition led by Global Sea Mineral Resources NV (GSR), a Belgian marine engineering contractor that is exploring the CCZ for ways to extract metal-rich nodules. A European-based science team, Mining Impacts 2, also conducted separate studies in parallel. The cruise was the first in over 40 years to test a “pre-prototype” collector vehicle in the CCZ. The machine, called Patania II, stands about 3 meters high, spans 4 meters wide, and is about one-third the size of what a commercial-scale vehicle is expected to be.

      While the contractor tested the vehicle’s nodule-collecting performance, the MIT scientists monitored the sediment cloud created in the vehicle’s wake. They did so using two maneuvers that the vehicle was programmed to take: a “selfie,” and a “drive-by.”

      Both maneuvers began in the same way, with the vehicle setting out in a straight line, all its suction systems turned on. The researchers let the vehicle drive along for 100 meters, collecting any nodules in its path. Then, in the “selfie” maneuver, they directed the vehicle to turn off its suction systems and double back around to drive through the cloud of sediment it had just created. The vehicle’s installed sensors measured the concentration of sediment during this “selfie” maneuver, allowing the scientists to monitor the cloud within minutes of the vehicle stirring it up.

      Play video

      A movie of the Patania II pre-prototype collector vehicle entering, driving through, and leaving the low-lying turbidity current plume as part of a selfie operation. For scale, the instrumentation post attached to the front of the vehicle reaches about 3m above the seabed. The movie is sped up by a factor of 20. Credit: Global Sea Mineral Resources

      For the “drive-by” maneuver, the researchers placed a sensor-laden mooring 50 to 100 meters from the vehicle’s planned tracks. As the vehicle drove along collecting nodules, it created a plume that eventually spread past the mooring after an hour or two. This “drive-by” maneuver enabled the team to monitor the sediment cloud over a longer timescale of several hours, capturing the plume evolution.

      Out of steam

      Over multiple vehicle runs, Peacock and his team were able to measure and track the evolution of the sediment plume created by the deep-sea-mining vehicle.

      “We saw that the vehicle would be driving in clear water, seeing the nodules on the seabed,” Peacock says. “And then suddenly there’s this very sharp sediment cloud coming through when the vehicle enters the plume.”

      From the selfie views, the team observed a behavior that was predicted by some of their previous modeling studies: The vehicle stirred up a heavy amount of sediment that was dense enough that, even after some mixing with the surrounding water, it generated a plume that behaved almost as a separate fluid, spreading under its own weight in what’s known as a turbidity current.

      “The turbidity current spreads under its own weight for some time, tens of minutes, but as it does so, it’s depositing sediment on the seabed and eventually running out of steam,” Peacock says. “After that, the ocean currents get stronger than the natural spreading, and the sediment transitions to being carried by the ocean currents.”

      By the time the sediment drifted past the mooring, the researchers estimate that 92 to 98 percent of the sediment either settled back down or remained within 2 meters of the seafloor as a low-lying cloud. There is, however, no guarantee that the sediment always stays there rather than drifting further up in the water column. Recent and future studies by the research team are looking into this question, with the goal of consolidating understanding for deep-sea mining sediment plumes.

      “Our study clarifies the reality of what the initial sediment disturbance looks like when you have a certain type of nodule mining operation,” Peacock says. “The big takeaway is that there are complex processes like turbidity currents that take place when you do this kind of collection. So, any effort to model a deep-sea-mining operation’s impact will have to capture these processes.”

      “Sediment plumes produced by deep-seabed mining are a major concern with regards to environmental impact, as they will spread over potentially large areas beyond the actual site of mining and affect deep-sea life,” says Henko de Stigter, a marine geologist at the Royal Netherlands Institute for Sea Research, who was not involved in the research. “The current paper provides essential insight in the initial development of these plumes.”

      This research was supported, in part, by the National Science Foundation, ARPA-E, the 11th Hour Project, the Benioff Ocean Initiative, and Global Sea Mineral Resources. The funders had no role in any aspects of the research analysis, the research team states. More

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      Divorce is more common in albatross couples with shy males, study finds

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      The wandering albatross is the poster bird for avian monogamy. The graceful glider is known to mate for life, partnering up with the same bird to breed, season after season, between long flights at sea.

      But on rare occasions, an albatross pair will “divorce” — a term ornithologists use for instances when one partner leaves the pair for another mate while the other partner remains in the flock. Divorce rates vary widely across the avian world, and the divorce rate for wandering albatrosses is relatively low.

      Nevertheless, the giant drifters can split up. Scientists at MIT and the Woods Hole Oceanographic Institution (WHOI) have found that, at least for one particular population of wandering albatross, whether a pair will divorce boils down to one important factor: personality. 

      In a study appearing today in the journal Biology Letters, the team reports that an albatross couple’s chance of divorce is highly influenced by the male partner’s “boldness.” The bolder and more aggressive the male, the more likely the pair is to stay together. The shyer the male, the higher the chance that the pair will divorce.

      The researchers say their study is the first to link personality and divorce in a wild animal species.

      “We thought that bold males, being more aggressive, would be more likely to divorce, because they would be more likely to take the risk of switching partners to improve future reproductive outcomes,” says study senior author Stephanie Jenouvrier, an associate scientist and seabird ecologist in WHOI’s FLEDGE Lab. “Instead we find the shy divorce more because they are more likely to be forced to divorce by a more competitive intruder. We expect personality may impact divorce rates in many species, but in different ways.”

      Lead author Ruijiao Sun, a graduate student in the MIT-WHOI Joint Program and MIT’s Department of Earth, Atmospheric and Planetary Sciences, says that this new evidence of a link between personality and divorce in the wandering albatross may help scientists predict the resilience of the population.

      “The wandering albatross is a vulnerable species,” Sun says. “Understanding the effect of personality on divorce is important because it can help researchers predict the consequences for population dynamics, and implement conservation efforts.”

      The study’s co-authors include Joanie Van de Walle of WHOI, Samantha Patrick of the University of Liverpool, and Christophe Barbraud, Henri Weimerskirch, and Karine Delord of CNRS- La Rochelle University in France.

      Repeat divorcées

      The new study concentrates on a population of wandering albatross that return regularly to Possession Island in the Southern Indian Ocean to breed. This population has been the focus of a long-term study dating back to the 1950s, in which researchers have been monitoring the birds each breeding season and recording the pairings and breakups of individuals through the years.

      This particular population is skewed toward more male individuals than females because the foraging grounds of female albatrosses overlap with fishing vessels, where they are more prone to being accidentally caught in fishing lines as bycatch.  

      In earlier research, Sun analyzed data from this long-term study and picked up a curious pattern: Those individuals that divorced were more likely to do so again and again.

      “Then we wanted to know, what drives divorce, and why are some individuals divorcing more often,” Jenouvrier says. “In humans, you see this repetitive divorce pattern as well, linked to personality. And the wandering albatross is one of the rare species for which we have both demographic and personality data.”

      That personality data comes from an ongoing study that began in 2008 and is led by co-author Patrick, who has been measuring the personality of individuals among the same population of wandering albatross on Possession Island. In the study of animal behavior, personality is defined as a consistent behavioral difference displayed by an individual. Biologists mainly measure personality in animals as a gradient between shy and bold, or less to more aggressive.

      In Patrick’s study, researchers have measured boldness in albatrosses by gauging a bird’s reaction to a human approaching its nest, from a distance of about 5 meters. A bird is assigned a score depending on how it reacts (a bird that does not respond scores a zero, being the most shy, while a bird that lifts its head, and even stands up, can score higher, being the most bold).

      Patrick has made multiple personality assessments of the same individuals over multiple years. Sun and Jenouvrier wondered: Could an individual’s personality have anything to do with their chance to divorce?

      “We had seen this repetitive divorce pattern, and then talked with Sam (Patrick) to see, could this be related to personality?” Sun recalls. “We know that personality predicts divorce in human beings, and it would be intuitive to make the link between personality and divorce in wild populations.”

      Shy birds

      In their new study, the team used data from both the demographic and personality studies to see whether any patterns between the two emerged. They applied a statistical model to both datasets, to test whether the personality of individuals in an albatross pair affected the fate of that pair.

      They found that for females, personality had little to do with whether the birds divorced. But in males, the pattern was clear: Those that were identified as shy were more likely to divorce, while bolder males stayed with their partner.

      “Divorce does not happen very often,” Jenouvrier says. “But we found that the shyer a bird is, the more likely they are to divorce.”

      But why? In their study, the team puts forth an explanation, which ecologists call “forced divorce.” They point out that, in this particular population of wandering albatross, males far outnumber females and therefore are more likely to compete with each other for mates. Males that are already partnered up, therefore, may be faced with a third “intruder” — a male who is competing for a place in the pair.

      “When there is a third intruder that competes, shy birds could step away and give away their mates, where bolder individuals are aggressive and will guard their partner and secure their partnership,” Sun explains. “That’s why shyer individuals may have higher divorce rates.”

      The team is planning to extend their work to examine how the personality of individuals can affect how the larger population changes and evolves. 

      “Now we’re talking about a connection between personality and divorce at the individual level,” Sun says. “But we want to understand the impact at the population level.”

      This research was supported, in part, by the National Science Foundation. More

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      in Energy

      Computing for the health of the planet

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      The health of the planet is one of the most important challenges facing humankind today. From climate change to unsafe levels of air and water pollution to coastal and agricultural land erosion, a number of serious challenges threaten human and ecosystem health.

      Ensuring the health and safety of our planet necessitates approaches that connect scientific, engineering, social, economic, and political aspects. New computational methods can play a critical role by providing data-driven models and solutions for cleaner air, usable water, resilient food, efficient transportation systems, better-preserved biodiversity, and sustainable sources of energy.

      The MIT Schwarzman College of Computing is committed to hiring multiple new faculty in computing for climate and the environment, as part of MIT’s plan to recruit 20 climate-focused faculty under its climate action plan. This year the college undertook searches with several departments in the schools of Engineering and Science for shared faculty in computing for health of the planet, one of the six strategic areas of inquiry identified in an MIT-wide planning process to help focus shared hiring efforts. The college also undertook searches for core computing faculty in the Department of Electrical Engineering and Computer Science (EECS).

      The searches are part of an ongoing effort by the MIT Schwarzman College of Computing to hire 50 new faculty — 25 shared with other academic departments and 25 in computer science and artificial intelligence and decision-making. The goal is to build capacity at MIT to help more deeply infuse computing and other disciplines in departments.

      Four interdisciplinary scholars were hired in these searches. They will join the MIT faculty in the coming year to engage in research and teaching that will advance physical understanding of low-carbon energy solutions, Earth-climate modeling, biodiversity monitoring and conservation, and agricultural management through high-performance computing, transformational numerical methods, and machine-learning techniques.

      “By coordinating hiring efforts with multiple departments and schools, we were able to attract a cohort of exceptional scholars in this area to MIT. Each of them is developing and using advanced computational methods and tools to help find solutions for a range of climate and environmental issues,” says Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing and the Henry Warren Ellis Professor of Electrical Engineering and Computer Science. “They will also help strengthen cross-departmental ties in computing across an important, critical area for MIT and the world.”

      “These strategic hires in the area of computing for climate and the environment are an incredible opportunity for the college to deepen its academic offerings and create new opportunity for collaboration across MIT,” says Anantha P. Chandrakasan, dean of the MIT School of Engineering and the Vannevar Bush Professor of Electrical Engineering and Computer Science. “The college plays a pivotal role in MIT’s overarching effort to hire climate-focused faculty — introducing the critical role of computing to address the health of the planet through innovative research and curriculum.”

      The four new faculty members are:

      Sara Beery will join MIT as an assistant professor in the Faculty of Artificial Intelligence and Decision-Making in EECS in September 2023. Beery received her PhD in computing and mathematical sciences at Caltech in 2022, where she was advised by Pietro Perona. Her research focuses on building computer vision methods that enable global-scale environmental and biodiversity monitoring across data modalities, tackling real-world challenges including strong spatiotemporal correlations, imperfect data quality, fine-grained categories, and long-tailed distributions. She partners with nongovernmental organizations and government agencies to deploy her methods in the wild worldwide and works toward increasing the diversity and accessibility of academic research in artificial intelligence through interdisciplinary capacity building and education.

      Priya Donti will join MIT as an assistant professor in the faculties of Electrical Engineering and Artificial Intelligence and Decision-Making in EECS in academic year 2023-24. Donti recently finished her PhD in the Computer Science Department and the Department of Engineering and Public Policy at Carnegie Mellon University, co-advised by Zico Kolter and Inês Azevedo. Her work focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Specifically, her research explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning models. Donti is also co-founder and chair of Climate Change AI, a nonprofit initiative to catalyze impactful work at the intersection of climate change and machine learning that is currently running through the Cornell Tech Runway Startup Postdoc Program.

      Ericmoore Jossou will join MIT as an assistant professor in a shared position between the Department of Nuclear Science and Engineering and the faculty of electrical engineering in EECS in July 2023. He is currently an assistant scientist at the Brookhaven National Laboratory, a U.S. Department of Energy-affiliated lab that conducts research in nuclear and high energy physics, energy science and technology, environmental and bioscience, nanoscience, and national security. His research at MIT will focus on understanding the processing-structure-properties correlation of materials for nuclear energy applications through advanced experiments, multiscale simulations, and data science. Jossou obtained his PhD in mechanical engineering in 2019 from the University of Saskatchewan.

      Sherrie Wang will join MIT as an assistant professor in a shared position between the Department of Mechanical Engineering and the Institute for Data, Systems, and Society in academic year 2023-24. Wang is currently a Ciriacy-Wantrup Postdoctoral Fellow at the University of California at Berkeley, hosted by Solomon Hsiang and the Global Policy Lab. She develops machine learning for Earth observation data. Her primary application areas are improving agricultural management and forecasting climate phenomena. She obtained her PhD in computational and mathematical engineering from Stanford University in 2021, where she was advised by David Lobell. More

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      SMART Innovation Center awarded five-year NRF grant for new deep tech ventures

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      The Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore has announced a five-year grant awarded to the SMART Innovation Center (SMART IC) by the National Research Foundation Singapore (NRF) as part of its Research, Innovation and Enterprise 2025 Plan. The SMART IC plays a key role in accelerating innovation and entrepreneurship in Singapore and will channel the grant toward refining and commercializing developments in the field of deep technologies through financial support and training.

      Singapore has recently expanded its innovation ecosystem to hone deep technologies to solve complex problems in areas of pivotal importance. While there has been increased support for deep tech here, with investments in deep tech startups surging from $324 million in 2020 to $861 million in 2021, startups of this nature tend to take a longer time to scale, get acquired, or get publicly listed due to increased time, labor, and capital needed. By providing researchers with financial and strategic support from the early stages of their research and development, the SMART IC hopes to accelerate this process and help bring new and disruptive technologies to the market.

      “SMART’s Innovation Center prides itself as being one of the key drivers of research and innovation, by identifying and nurturing emerging technologies and accelerating them towards commercialization,” says Howard Califano, director of SMART IC. “With the support of the NRF, we look forward to another five years of further growing the ecosystem by ensuring an environment where research — and research funds — are properly directed to what the market and society need. This is how we will be able to solve problems faster and more efficiently, and ensure that value is generated from scientific research.”

      Set up in 2009 by MIT and funded by the NRF, the SMART IC furthers SMART’s goals by nurturing promising and innovative technologies that faculty and research teams in Singapore are working on. Some emerging technologies include, but are not limited to, biotechnology, biomedical devices, information technology, new materials, nanotechnology, and energy innovations.

      Having trained over 300 postdocs since its inception, the SMART IC has supported the launch of 55 companies that have created over 3,300 jobs. Some of these companies were spearheaded by SMART’s interdisciplinary research groups, including biotech companies Theonys and Thrixen, autonomous vehicle software company nuTonomy, and integrated circuit company New Silicon. During the RIE 2020 period, 66 Ignition Grants and 69 Innovation Grants were awarded to SMART’s researchers, as well as faculty at other Singapore universities and research institutes.

      The following four programs are open to researchers from education and research facilities, as well as institutes of higher learning, in Singapore:

      Innovation Grant 2.0: The enhanced SMART Innovation Center’s flagship program, the Innovation Grant 2.0, is a gated three-phase program focused on enabling scientist-entrepreneurs to launch a successful venture, with training and intense monitoring across all phases. This grant program can provide up to $800,000 Singaporean dollars and is open to all areas of deep technology (engineering, artificial intelligence, biomedical, new materials, etc). The first grant call for the Innovation Grant 2.0 is open through Oct. 15. Researchers, scientists, and engineers at Singapore’s public institutions of higher learning, research centers, public hospitals, and medical research centers — especially those working on disruptive technologies with commercial potential — are invited to apply for the Innovation Grant 2.0.

      I2START Grant: In collaboration with SMART, the National Health Innovation Center Singapore, and Enterprise Singapore, this novel integrated program will develop master classes on venture building, with a focus on medical devices, diagnostics, and medical technologies. The grant amount is up to S$1,350,000. Applications are accepted throughout the year.

      STDR Stream 2: The Singapore Therapeutics Development Review (STDR) program is jointly operated by SMART, the Agency for Science, Technology and Research (A*STAR), and the Experimental Drug Development Center. The grant is available in two phases, a pre-pilot phase of S$100,000 and a Pilot phase of S$830,000, with a potential combined total of up to S$930,000. The next STDR Pre-Pilot grant call will open on Sept. 15.

      Central Gap Fund: The SMART IC is an Innovation and Enterprise Office under the NRF’s Central Gap Fund. This program helps projects that have already received an Innovation 2.0, STDR Stream 2, or I2START Grant but require additional funding to bridge to seed or Series A funding, with possible funding of up to S$5 million. Applications are accepted throughout the year.

      The SMART IC will also continue developing robust entrepreneurship mentorship programs and regular industry events to encourage closer collaboration among faculty innovators and the business community.

      “SMART, through the Innovation Center, is honored to be able to help researchers take these revolutionary technologies to the marketplace, where they can contribute to the economy and society. The projects we fund are commercialized in Singapore, ensuring that the local economy is the first to benefit,” says Eugene Fitzgerald, chief executive officer and director of SMART, and professor of materials science and engineering at MIT.

      SMART was established by MIT and the NRF in 2007 and serves as an intellectual and innovation hub for cutting-edge research of interest to both parties. SMART is the first entity in the Campus for Research Excellence and Technological Enterprise. SMART currently comprises an Innovation Center and five Interdisciplinary Research Groups: Antimicrobial Resistance, Critical Analytics for Manufacturing Personalized-Medicine, Disruptive and Sustainable Technologies for Agricultural Precision, Future Urban Mobility, and Low Energy Electronic Systems.

      The SMART IC was set up by MIT and the NRF in 2009. It identifies and nurtures a broad range of emerging technologies including but not limited to biotechnology, biomedical devices, information technology, new materials, nanotechnology, and energy innovations, and accelerates them toward commercialization. The SMART IC runs a rigorous grant system that identifies and funds promising projects to help them de-risk their technologies, conduct proof-of-concept experiments, and determine go-to-market strategies. It also prides itself on robust entrepreneurship boot camps and mentorship, and frequent industry events to encourage closer collaboration among faculty innovators and the business community. SMART’s Innovation grant program is the only scheme that is open to all institutes of higher learning and research institutes across Singapore. More

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      in Energy

      3Q: How MIT is working to reduce carbon emissions on our campus

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      Fast Forward: MIT’s Climate Action Plan for the Decade, launched in May 2021, charges MIT to eliminate its direct carbon emissions by 2050. Setting an interim goal of net zero emissions by 2026 is an important step to getting there. Joe Higgins, vice president for campus services and stewardship, speaks here about the coordinated, multi-team effort underway to address the Institute’s carbon-reduction goals, the challenges and opportunities in getting there, and creating a blueprint for a carbon-free campus in 2050.

      Q: The Fast Forward plan laid out specific goals for MIT to address its own carbon footprint. What has been the strategy to tackle these priorities?

      A: The launch of the Fast Forward Climate Action Plan empowered teams at MIT to expand the scope of our carbon reduction tasks beyond the work we’ve been doing to date. The on-campus activities called for in the plan range from substantially expanding our electric vehicle infrastructure on campus, to increasing our rooftop solar installations, to setting impact goals for food, water, and waste systems. Another strategy utilizes artificial intelligence to further reduce energy consumption and emissions from our buildings. When fully implemented, these systems will adjust a building’s temperature setpoints throughout the day while maintaining occupant comfort, and will use occupancy data, weather forecasts, and carbon intensity projections from the grid to make more efficient use of energy. 

      We have tremendous momentum right now thanks to the progress made over the past decade by our teams — which include planners, designers, engineers, construction managers, and sustainability and operations experts. Since 2014, our efforts to advance energy efficiency and incorporate renewable energy have reduced net emissions on campus by 20% (from a 2014 baseline) despite significant campus growth. One of our current goals is to further reduce energy use in high-intensity research buildings — 20 of our campus buildings consume more than 50% of our energy. To reduce energy usage in these buildings we have major energy retrofit projects in design or in planning for buildings 32, 46, 68, 76, E14, and E25, and we expect this work will reduce overall MIT emissions by an additional 10 to 15%.

      Q: The Fast Forward plan acknowledges the challenges we face in our efforts to reach our campus emission reduction goals, in part due to the current state of New England’s electrical grid. How does MIT’s district energy system factor into our approach? 

      A: MIT’s district energy system is a network of underground pipes and power lines that moves energy from the Central Utilities Plant (CUP) around to the vast majority of Institute buildings to provide electricity, heating, and air conditioning. Using a closed-loop, central-source system like this enables MIT to operate more efficiently by using less energy to heat and cool its buildings and labs, and by maintaining better load control to accommodate seasonal variations in peak demand.

      When the new MIT campus was built in Cambridge in 1916, it included a centralized state-of-the-art steam and electrical power plant that would service the campus buildings. This central district energy approach allowed MIT to avoid having individual furnaces in each building and to easily incorporate progressively cleaner fuel sources campus-wide over the years. After starting with coal as a primary energy source, MIT transitioned to fuel oil, then to natural gas, and then to cogeneration in 1995 — and each step has made the campus more energy efficient. Our continuous investment in a centralized infrastructure has facilitated our ability to improve energy efficiency while adding capacity; as new technologies become available, we can implement them across the entire campus. Our district energy system is very adaptable to seasonal variations in demand for cooling, heating and electricity, and builds upon decades of centralized investments in energy-efficient infrastructure.

      This past year, MIT completed a major upgrade of the district energy system whereby the majority of buildings on campus now benefit from the most advanced cogeneration technology for combined heating, cooling, and power delivery. This system generates electrical power that produces 15 to 25% less carbon than the current New England grid. We also have the ability to export power during times when the grid is most stressed, which contributes to the resiliency of local energy systems. On the flip side, any time the grid is a cleaner option, MIT is able to import a higher amount of electricity from the utility by distributing this energy through our centralized system. In fact, it’s important to note that we have the ability to import 100% of our electrical energy from the grid as it becomes cleaner. We anticipate that this will happen as the next major wave of technology innovation unfolds and the abundance of offshore wind and other renewable resources increases as anticipated by the end of this decade. As the grid gets greener, our adaptable district energy system will bring us closer to meeting our decarbonization goals.

      MIT’s ability to adapt its system and use new technologies is crucial right now as we work in collaboration with faculty, students, industry experts, peer institutions, and the cities of Cambridge and Boston to evaluate various strategies, opportunities, and constraints. In terms of evolving into a next-generation district energy system, we are reviewing options such as electric steam boilers and industrial-scale heat pumps, thermal batteries, geothermal exchange, micro-reactors, bio-based fuels, and green hydrogen produced from renewable energy. We are preparing to incorporate the most beneficial technologies into a blueprint that will get us to our 2050 goal.

      Q: What is MIT doing in the near term to reach the carbon-reduction goals of the climate action plan?

      A: In the near term, we are exploring several options, including enabling large-scale renewable energy projects and investing in verified carbon offset projects that reduce, avoid, or sequester carbon. In 2016, MIT joined a power purchase agreement (PPA) partnership that enabled the construction of a 650-acre solar farm in North Carolina and resulted in the early retirement of a nearby coal plant. We’ve documented a huge emissions savings from this, and we’re exploring how to do something similar on a much larger scale with a broader group of partners. As we seek out collaborative opportunities that enable the development of new renewable energy sources, we hope to provide a model for other institutions and organizations, as the original PPA did. Because PPAs accelerate the de-carbonization of regional electricity grids, they can have an enormous and far-reaching impact. We see these partnerships as an important component of achieving net zero emissions on campus as well as accelerating the de-carbonization of regional power grids — a transformation that must take place to reach zero emissions by 2050.

      Other near-term initiatives include enabling community solar power projects in Massachusetts to support the state’s renewable energy goals and provide opportunities for more property owners (municipalities, businesses, homeowners, etc.) to purchase affordable renewable energy. MIT is engaged with three of these projects; one of them is in operation today in Middleton, and the two others are scheduled to be built soon on Cape Cod.

      We’re joining the commonwealth and its cities, its organizations and utility providers on an unprecedented journey — the global transition to a clean energy system. Along the way, everything is going to change as technologies and the grid continue to evolve. Our focus is on both the near term and the future, as we plan a path into the next energy era. More

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      MIT accelerates efforts on path to carbon reduction goals

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      Under its “Fast Forward” climate action plan, which was announced in May 2021, MIT has set a goal of eliminating direct emissions from its campus by 2050. An important near-term milestone will be achieving net-zero emissions by 2026. Many other colleges and universities have set similar targets. What does it take to achieve such a dramatic reduction?

      Since 2014, when MIT launched a five-year plan for action on climate change, net campus emissions have been cut by 20 percent. To meet the 2026 target, and ultimately achieve zero direct emissions by 2050, the Institute is making its campus buildings dramatically more energy efficient, transitioning to electric vehicles (EVs), and enabling large-scale renewable energy projects, among other strategies.

      “This is an ‘all-in’ moment for MIT, and we’re taking comprehensive steps to address our carbon footprint,” says Glen Shor, executive vice president and treasurer. “Reducing our emissions to zero will be challenging, but it’s the right aspiration.”

      “As an energy-intensive campus in an urban setting, our ability to achieve this goal will, in part, depend on the capacity of the local power grid to support the electrification of buildings and transportation, and how ‘green’ that grid electricity will become over time,” says Joe Higgins, MIT’s vice president for campus services and stewardship. “It will also require breakthrough technology improvements and new public policies to drive their adoption. Many of those tech breakthroughs are being developed by our own faculty, and our teams are planning scenarios in anticipation of their arrival.”

      Working toward an energy-efficient campus

      The on-campus reductions have come primarily from a major upgrade to MIT’s Central Utilities Plant, which provides electricity, heating, and cooling for about 80 percent of all Institute buildings. The upgraded plant, which uses advanced cogeneration technology, became fully operational at the end of 2021 and is meeting campus energy needs at greater efficiency and lower carbon intensity (on average 15 to 25 percent cleaner) compared to the regional electricity grid. Carbon reductions from the increased efficiency provided by the enhanced plant are projected to counter the added greenhouse gas emissions caused by recently completed and planned construction and operation of new buildings on campus, especially energy-intensive laboratory buildings.

      Energy from the plant is delivered to campus buildings through MIT’s district energy system, a network of underground pipes and power lines providing electricity, heating, and air conditioning. With this adaptable system, MIT can introduce new technologies as they become available to increase the system’s energy efficiency. The system enables MIT to export power when the regional grid is under stress and to import electricity from the power grid as it becomes cleaner, likely over the next decade as the availability of offshore wind and renewable resources increases. “At the same time, we are reviewing additional technology options such as industrial-scale heat pumps, thermal batteries, geothermal exchange, microreactors, bio-based fuels, and green hydrogen produced from renewable energy,” Higgins says.

      Along with upgrades to the plant, MIT is gradually converting existing steam-based heating systems into more efficient hot-water systems. This long-term project to lower campus emissions requires replacing the vast network of existing steam pipes and infrastructure, and will be phased in as systems need to be replaced. Currently MIT has four buildings that are on a hot-water system, with five more buildings transitioning to hot water by the fall of 2022.  

      Minimizing emissions by implementing meaningful building efficiency standards has been an ongoing strategy in MIT’s climate mitigation efforts. In 2016, MIT made a commitment that all new campus construction and major renovation projects must earn at least Leadership in Energy and Environmental Design (LEED) Gold certification. To date, 24 spaces and buildings at MIT have earned a LEED designation, a performance-based rating system of a building’s environmental attributes associated with its design, construction, operations, and management.

      Current efficiency efforts focus on reducing energy in the 20 buildings that account for more than 50 percent of MIT’s energy usage. One such project under construction aims to improve energy efficiency in Building 46, which houses the Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory and is the biggest energy user on the campus because of its large size and high concentration of lab spaces. Interventions include optimizing ventilation systems that will significantly reduce energy use while improving occupant comfort, and working with labs to implement programs such as fume hood hibernation and equipment adjustments. For example, raising ultralow freezer set points by 10 degrees can reduce their energy consumption by as much as 40 percent. Together, these measures are projected to yield a 35 percent reduction in emissions for Building 46, which would contribute to reducing campus-level emissions by 2 percent.

      Over the past decade, in addition to whole building intervention programs, the campus has taken targeted measures in over 100 campus buildings to add building insulation, replace old, inefficient windows, transition to energy-efficient lighting and mechanical systems, optimize lab ventilation systems, and install solar panels on solar-ready rooftops on campus — and will increase the capacity of renewable energy installations on campus by a minimum of 400 percent by 2026. These smaller scale contributions to overall emissions reductions are essential steps in a comprehensive campus effort.

      Electrification of buildings and vehicles

      With an eye to designing for “the next energy era,” says Higgins, MIT is looking to large-scale electrification of its buildings and district energy systems to reduce building use-associated emissions. Currently under renovation, the Metropolitan Storage Warehouse — which will house the MIT School of Architecture and Planning (SA+P) and the newly established MIT Morningside Academy for Design — will be the first building on campus to undergo this transformation by using electric heat pumps as its main heating and supplemental cooling source. The project team, consisting of campus engineering and construction teams as well as the designers, is working with SA+P faculty to design this innovative electrification project. The solution will move excess heat from the district energy infrastructure and nearby facilities to supply the heat pump system, creating a solution that uses less energy — resulting in fewer carbon emissions. 

      Next to building energy use, emissions from on-campus vehicles are a key target for reduction; one of the goals in the “Fast Forward” plan is the electrification of on-campus vehicles. This includes the expansion of electric vehicle charging stations, and work has begun on the promised 200 percent expansion of the number of stations on campus, from 120 to 360. Sites are being evaluated to make sure that all members of the MIT community have easy access to these facilities.

      The electrification also includes working toward replacing existing MIT-owned vehicles, from shuttle buses and vans to pickup trucks and passenger cars, as well as grounds maintenance equipment. Shu Yang Zhang, a junior in the Department of Materials Science and Engineering, is part of an Office of Sustainability student research team that carried out an evaluation of the options available for each type of vehicle and compared both their lifecycle costs and emissions.

      Zhang says the team examined “the specifics of the vehicles that we own, looking at key measures such as fuel economy and cargo capacity,” and determined what alternatives exist in each category. The team carried out a study of the costs for replacing existing vehicles with EVs on the market now, versus buying new gas vehicles or leaving the existing ones in place. They produced a set of specific recommendations about fleet vehicle replacement and charging infrastructure installation on campus that supports both commuters and an MIT EV fleet in the future. According to their estimates, Zhang says, “the costs should be not drastically different” in the long run for the new electric vehicles.

      Strength in numbers

      While a panoply of measures has contributed to the successful offsetting of emissions so far, the biggest single contributor was MIT’s creation of an innovative, collaborative power purchase agreement (PPA) that enabled the construction of a large solar farm in North Carolina, which in turn contributed to the early retirement of a large coal-fired power plant in that region. MIT is committed to buying 73 percent of the power generated by the new facility, which is equivalent to approximately 40 percent of the Institute’s electricity use.

      That PPA, which was a collaboration between three institutions, provided a template that has already been emulated by other institutions, in many cases enabling smaller organizations to take part in such a plan and achieve greater offsets of their carbon emissions than might have been possible acting on their own. Now, MIT is actively pursuing new, larger variations on that plan, which may include a wider variety of organizational participants, perhaps including local governments as well as institutions and nonprofits. The hope is that, as was the case with the original PPA, such collaborations could provide a model that other institutions and organizations may adopt as well.

      Strategic portfolio agreements like the PPA will help achieve net zero emissions on campus while accelerating the decarbonization of regional electricity grids — a transformation critical to achieving net zero emissions, alongside all the work that continues to reduce the direct emissions from the campus itself.

      “PPAs play an important role in MIT’s net zero strategy and have an immediate and significant impact in decarbonization of regional power grids by enabling renewable energy projects,” says Paul L. Joskow, the Elizabeth and James Killian Professor of Economics. “Many well-known U.S. companies and organizations that are seeking to enable and purchase CO2-free electricity have turned to long-term PPAs selected through a competitive procurement process to help to meet their voluntary internal decarbonization commitments. While there are still challenges regarding organizational procurements — including proper carbon emissions mitigation accounting, optimal contract design, and efficient integration into wholesale electricity markets — we are optimistic that MIT’s efforts and partnerships will contribute to resolving some of these issues.”

      Addressing indirect sources of emissions

      MIT’s examination of emissions is not limited to the campus itself but also the indirect sources associated with the Institute’s operations, research, and education. Of these indirect emissions, the three major ones are business travel, purchased goods and services, and construction of buildings, which are collectively larger than the total direct emissions from campus.

      The strategic sourcing team in the Office of the Vice President for Finance has been working to develop opportunities and guidelines for making it easier to purchase sustainable products, for everything from office paper to electronics to lab equipment. Jeremy Gregory, executive director of MIT’s Climate and Sustainability Consortium, notes that MIT’s characteristic independent spirit resists placing limits on what products researchers can buy, but, he says, “we have opportunities to centralize some of our efforts and empower our community to choose low-impact alternatives when making procurement decisions.”

      The path forward

      The process of identifying and implementing MIT’s carbon reductions will be supported, in part, by the Carbon Footprint Working Group, which was launched by the Climate Nucleus, a new body MIT created to manage the implementation of the “Fast Forward” climate plan. The nucleus includes a broad representation from MIT’s departments, labs, and centers that are working on climate change issues. “We’ve created this internal structure in an effort to integrate operational expertise with faculty and student research innovations,” says Director of Sustainability Julie Newman.

      Whatever measures end up being adopted to reduce energy and associated emissions, their results will be made available continuously to members of the MIT community in real-time, through a campus data gateway, Newman says — a degree of transparency that is exceptional in higher education. “If you’re interested in supporting all these efforts and following this,” she says, “you can track the progress via Energize MIT,” a set of online visualizations that display various measures of MIT’s energy usage and greenhouse gas emissions over time. More

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      in Environment

      From bridges to DNA: civil engineering across disciplines

      by

      How is DNA like a bridge? This question is not a riddle or logic game, it is a concern of Johannes Kalliauer’s doctoral thesis.

      As a student at TU Wien in Austria, Kalliauer was faced with a monumental task: combining approaches from civil engineering and theoretical physics to better understand the forces that act on DNA.

      Kalliauer, now a postdoc at the MIT Concrete Sustainability Hub, says he modeled DNA as though it were a beam, using molecular dynamics principles to understand its structural properties.

      “The mechanics of very small objects, like DNA helices, and large ones, like bridges, are quite similar. Each may be understood in terms of Newtonian mechanics. Forces and moments act on each system, subjecting each to deformations like twisting, stretching, and warping,” says Kalliauer.

      As a 2020 article from TU Wien noted, Kalliauer observed a counterintuitive behavior when examining DNA at an atomic level. Unlike a typical spring which becomes less coiled as it is stretched, DNA was observed to become more wound as its length was increased. 

      In situations like these where conventional logic appears to break down, Kalliauer relies on the intuition he has gained as an engineer.

      “To understand this strange behavior in DNA, I turned to a fundamental approach: I examined what was the same about DNA and macroscopic structures and what was different. Civil engineers use methods and calculations which have been developed over centuries and which are very similar to the ones I employed for my thesis,” Kalliauer explains. 

      As Kalliauer continues, “Structural engineering is an incredibly versatile discipline. If you understand it, you can understand atomistic objects like DNA strands and very large ones like galaxies. As a researcher, I rely on it to help me bring new viewpoints to fields like biology. Other civil engineers can and should do the same.”

      Kalliauer, who grew up in a small town in Austria, has spent his life applying unconventional approaches like this across disciplines. “I grew up in a math family. While none of us were engineers, my parents instilled an appreciation for the discipline in me and my two older sisters.”

      After middle school, Kalliauer attended a technical school for civil engineering, where he discovered a fascination for mechanics. He also worked on a construction site to gain practical experience and see engineering applied in a real-world context.

      Kalliauer studied out of interest intensely, working upwards of 100 hours per week to better understand coursework in university. “I asked teachers and professors many questions, often challenging their ideas. Above everything else, I needed to understand things for myself. Doing well on exams was a secondary concern.”

      In university, he studied topics ranging from car crash testing to concrete hinges to biology. As a new member of the CSHub, he is studying how floods may be modeled with the statistical physics-based model provided by lattice density functional theory.

      In doing this, he builds on the work of past and present CSHub researchers like Elli Vartziotis and Katerina Boukin. 

      “It’s important to me that this research has a real impact in the world. I hope my approach to engineering can help researchers and stakeholders understand how floods propagate in urban contexts, so that we may make cities more resilient,” he says. More

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      in Energy

      Stranded assets could exact steep costs on fossil energy producers and investors

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      A 2021 study in the journal Nature found that in order to avert the worst impacts of climate change, most of the world’s known fossil fuel reserves must remain untapped. According to the study, 90 percent of coal and nearly 60 percent of oil and natural gas must be kept in the ground in order to maintain a 50 percent chance that global warming will not exceed 1.5 degrees Celsius above preindustrial levels.

      As the world transitions away from greenhouse-gas-emitting activities to keep global warming well below 2 C (and ideally 1.5 C) in alignment with the Paris Agreement on climate change, fossil fuel companies and their investors face growing financial risks (known as transition risks), including the prospect of ending up with massive stranded assets. This ongoing transition is likely to significantly scale back fossil fuel extraction and coal-fired power plant operations, exacting steep costs — most notably asset value losses — on fossil-energy producers and shareholders.

      Now, a new study in the journal Climate Change Economics led by researchers at the MIT Joint Program on the Science and Policy of Global Change estimates the current global asset value of untapped fossil fuels through 2050 under four increasingly ambitious climate-policy scenarios. The least-ambitious scenario (“Paris Forever”) assumes that initial Paris Agreement greenhouse gas emissions-reduction pledges are upheld in perpetuity; the most stringent scenario (“Net Zero 2050”) adds coordinated international policy instruments aimed at achieving global net-zero emissions by 2050.

      Powered by the MIT Joint Program’s model of the world economy with detailed representation of the energy sector and energy industry assets over time, the study finds that the global net present value of untapped fossil fuel output through 2050 relative to a reference “No Policy” scenario ranges from $21.5 trillion (Paris Forever) to $30.6 trillion (Net Zero 2050). The estimated global net present value of stranded assets in coal power generation through 2050 ranges from $1.3 to $2.3 trillion.

      “The more stringent the climate policy, the greater the volume of untapped fossil fuels, and hence the higher the potential asset value loss for fossil-fuel owners and investors,” says Henry Chen, a research scientist at the MIT Joint Program and the study’s lead author.

      The global economy-wide analysis presented in the study provides a more fine-grained assessment of stranded assets than those performed in previous studies. Firms and financial institutions may combine the MIT analysis with details on their own investment portfolios to assess their exposure to climate-related transition risk. More