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BEGIN:VEVENT
DTSTAMP:20260908T100053
DTSTART;TZID=America/Detroit:20260917T153000
DTEND;TZID=America/Detroit:20260917T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Managing the emission and absorption of thermal radiation in large scale energy technologies
DESCRIPTION:Abstract: \nThermal radiation and thermal storage can play crucial roles in alleviating the intensifying pressure on energy systems caused by surging electricity demand\, extreme weather\, and supply-chain constraints. This talk will focus on the development of advanced\, scalable materials for managing thermal radiation and their integration with thermal storage systems. Hot and cold thermal storage is a scalable\, low-cost solution that is maturing rapidly and seeing growing global adoption. To charge and discharge these storage systems\, we have developed materials that control solar and thermal radiation while overcoming fundamental challenges in broadband spectral control\, scalability\, and material stability in harsh environments.\n\nBiography: \nAndrej Lenert is an Associate Professor of Chemical Engineering at the University of Michigan\, where he leads the Lab for Efficient and Enduring Energy Systems (LE3) which conducts research on materials and devices that convert light (photons) into valuable products such as electricity\, high-grade heat\, and sustainable chemicals. He is a pioneer in the fields of thermal photonics and thermophotovoltaics (TPVs). His research group at UM established thin-film back-reflector TPV cells\, now widely used in the manufacture of high performance TPV systems. Dr. Lenert guided the development of air-bridge TPVs from invention to technology and co-founded Heat2Power to see their translation into the market. His inventions include bifacial and multi-terminal TPVs\, aerogel solar collectors\, and high-albedo radiative coolers. Prior to UM and H2P\, he received his PhD at MIT in 2014 where he focused on the development of nanophotonic solar TPV devices which made the MIT Technology Review 2017 list of 10 Breakthrough Technologies.\n\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147937-21902572@events.umich.edu
URL:https://events.umich.edu/event/147937
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260819T094150
DTSTART;TZID=America/Detroit:20260924T153000
DTEND;TZID=America/Detroit:20260924T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Cutting Costs or Cutting Corners: Asset Reallocation in Oil and Gas Production
DESCRIPTION:Cutting Costs or Cutting Corners: Asset Reallocation in Oil and Gas Production\nwith Sarah Armitage and Judson Boomhower\n\nAbstract:\nReallocation of assets across firms can lead to efficiency gains\, but it can also lead to distortions via rent-seeking. We examine the link between asset reallocation and rent-seeking enabled by differences in the expected cost of environmental liabilities. Focusing on the US oil and gas industry\, we develop a conceptual framework that incorporates both firm specialization in well types and the judgment-proof problem\, by which undercapitalized firms can avoid environmental liabilities. We then build a novel dataset with hundreds of thousands of well transfers over 1992 to 2023\, showing that oil and gas wells are transferred frequently\, particularly as they age and their revenues decline. Moreover\, low-value wells are especially likely to be transferred to low-value firms. Transferred wells produce similar amounts in later years\, but are less likely to be plugged -- thus posing greater environmental risk. We conclude with policy implications related to well plugging\, bonding requirements\, and decarbonization. \n\nBiography:\nCatie Hausman is a Professor in the Gerald R. Ford School of Public Policy at the University of Michigan and a Research Associate at the National Bureau of Economic Research. She is an environmental and energy economist. Some of her recent areas of research include electricity transmission policy\; the natural gas sector's role in methane leaks\; the economic damages from climate change\; and inequality in pollution exposure.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147943-21902578@events.umich.edu
URL:https://events.umich.edu/event/147943
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260819T123151
DTSTART;TZID=America/Detroit:20261001T153000
DTEND;TZID=America/Detroit:20261001T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Prioritization of technology development and scale-up pathways for sustainable (bio)energy systems
DESCRIPTION:Abstract:\nThe pursuit of clean\, equitable\, renewable fuels has become a catalyst for research and development. Yet a critical challenge in transitioning fuel supply chains is the vast landscape of possible technology development pathways and the lack of transparent\, consistent frameworks to target research and investment. This presentation will introduce quantitative sustainable design (QSD)\, a framework for prioritizing research\, development\, and deployment pathways for emerging technologies. QSD integrates process design and simulation\, techno-economic analysis\, and life cycle assessment under uncertainty to identify the factors governing sustainability\, quantify performance gaps\, establish actionable research targets\, and guide technology and system design. Examples from the Center for Advanced Bioenergy and Bioproducts Innovation will illustrate how QSD can inform the conversion of perennial grasses (including Miscanthus\, switchgrass\, and sugarcane) and agricultural residues into biofuels and bioproducts\, with particular attention to sustainable aviation fuel. By connecting process-scale analyses with broader infrastructure and spatial models\, we also evaluate where and how these technologies could be deployed\, including opportunities to integrate low-carbon fuel production with existing infrastructure and strategically site bioenergy facilities. Together\, these examples demonstrate how transparent\, systems-level analysis can direct innovation and investment toward energy solutions that are technically feasible\, financially viable\, environmentally beneficial\, and responsive to broader societal goals.\n\nBiography:\nDr. Jeremy Guest is the Department Head and David C. Crawford Faculty Scholar in the Department of Civil & Environmental Engineering at the University of Illinois Urbana-Champaign. He also holds an appointment (by courtesy) as a Professor in the Department of Chemical and Biomolecular Engineering. The core goal of Professor Guest’s research group is to advance circular bioeconomies for a more sustainable and just future. His team supports this vision by developing computational models to prioritize research\, development\, and deployment pathways for new technologies that achieve resource recovery from wastewaters and the conversion of plants to products\, food\, and fuels. Professor Guest’s formal training includes a B.S. and M.S. in civil engineering from Bucknell University and Virginia Tech\, respectively\, and a Ph.D. in environmental engineering from the University of Michigan.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147944-21902579@events.umich.edu
URL:https://events.umich.edu/event/147944
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260828T114233
DTSTART;TZID=America/Detroit:20261008T153000
DTEND;TZID=America/Detroit:20261008T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - PCM based thermal storage in district energy systems: leveraging thermal demand response needs controls
DESCRIPTION:Abstract:\nThermal energy storage (TES) utilizes well established technologies to provide efficient and flexible solutions in heating and cooling applications in buildings. In particular\, TES units that utilize phase change materials (PCM) are known for their higher energy density and relatively constant temperature during phase change. Coupling PCM based TES systems with ground source heat pumps enables both capital and operational savings with optimal charging and discharging of the TES system. This talk will present two case studies installed at Smith College: a single building with TES and ground source heat pumps as well as a district scaled multi-building solution. The work presents the technical and economic potential of a novel\, tunable PCM-based TES system to highlight reductions in carbon emissions\, hot water demand\, water and electricity consumption possibly when TES systems are well integrated in a thermal demand response strategy. With load shifting and dynamic pricing in the utility market\, thermal demand response begins to follow the same technical hurdles observed with battery state-of-charge estimation in order to develop model predictive control strategies to achieve target decarbonization goals. Here\, we present the case for why you should care about thermal demand response in electricity grids of the future.\n\nBiography:\nDenise McKahn currently serves as the Associate Provost at Smith College where she manages the academic budget of the college\, leads teaching focused faculty recruitment and hiring\, and oversees the Clark Science Center\, Campus School\, and Lewis Global Studies Center. As faculty in engineering at Smith\, Prof. McKahn has taught all courses in energy\, mass and heat transfer areas\, including hybrid power system design. As a cross-disciplinary engineer who has studied environmental\, mechanical\, electrical and chemical engineering through both research and formal coursework\, she is dedicated to the development of renewably derived fuel and electricity generation and storage technologies through the design\, modeling and control of dynamic and complex systems. Prof. McKahn obtained her B.S. in Environmental Resources Engineering from Cal Poly Humboldt (HSU) and her M.S. in mechanical engineering and Ph.D. in environmental engineering from the University of Michigan\, Ann Arbor.\n\n\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147945-21902580@events.umich.edu
URL:https://events.umich.edu/event/147945
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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DTSTAMP:20260831T134101
DTSTART;TZID=America/Detroit:20261015T153000
DTEND;TZID=America/Detroit:20261015T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Elucidating phase-change heat transfer mechanisms and their role in developing next generation energy systems
DESCRIPTION:Abstract: \nLiquid–vapor phase change is one of the most effective ways to absorb and reject thermal energy\, yet many of the mechanisms governing phase-change heat transfer remain poorly understood. In this talk\, I will discuss our recent advances in optical diagnostics that have enabled us to directly probe the physics of boiling heat transfer. We find that bubbles substantially enhance single-phase liquid heat transfer by increasing turbulence within the liquid\, enabling a simple model that predicts the boiling curve from optical measurements alone - without machine learning. I will also discuss our measurements of microlayer evaporation\, where a new spatial-temporal analysis technique enables accurate determination of microlayer thickness and accommodation coefficient\, and motivates a boundary-layer-based scaling law for the initial microlayer thickness. Together\, these studies demonstrate how advanced optical measurements can reveal previously inaccessible heat-transfer mechanisms and translate them into predictive models that provide a foundation for designing next generation thermal energy systems.\n\nBiography:\nMatt Hughes is an Assistant Professor in the Department of Mechanical Engineering at University of Michigan and currently an editor of the journals Applied Thermal Engineering and AI Thermal Fluids. He was previously a Research Scientist in the Department of Nuclear Science and Engineering at Massachusetts Institute of Technology.  His research focuses on the fundamentals of multi-phase flow and heat transfer\, autonomous operation of thermal hydraulic systems and experiments\, and advanced thermal system design.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:150369-21909103@events.umich.edu
URL:https://events.umich.edu/event/150369
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260826T143701
DTSTART;TZID=America/Detroit:20261022T153000
DTEND;TZID=America/Detroit:20261022T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Nuclear Energy’s Next Act: Innovation\, Federal Support and the Role of Modeling and Simulation
DESCRIPTION:Abstract:\nThe U.S. nuclear industry is entering a new chapter\, driven by rising energy demand\, renewed public interest\, and unprecedented federal support. This talk will explore the forces behind today’s nuclear momentum\, including efforts to deploy advanced reactors\, strengthen domestic nuclear capabilities\, and sustain the performance of the existing reactor fleet. It will also highlight the growing role of modeling and simulation in this evolving landscape. As innovative reactor concepts move from idea to deployment\, predictive tools are increasingly essential for understanding system behavior\, guiding design and licensing\, and evaluating technologies for which experimental data remain limited. Together\, public investment\, industry innovation\, and advanced computational tools are helping shape nuclear energy’s next act.\n\nBiography:\nDr. Emily Shemon is a nuclear engineer at the Department of Energy’s Argonne National Laboratory. She serves on the extended leadership team of the DOE’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program where she manages development\, validation\, and deployment of multiphysics tools for nuclear reactor analysis. She currently leads technical teams that develop high fidelity meshing software as well as fast reactor technology modeling capabilities. She co-leads the National Reactor Innovation Center’s Virtual Test Bed efforts\, which supports industry adoption of advanced modeling and simulation through the open sharing of models. Dr. Shemon also has a background in high-performance computing and is on staff at Argonne’s Leadership Computing Facility. She is a graduate of the University of Michigan’s Department of Nuclear Engineering & Radiological Sciences where she received a Ph.D. in 2011.\n\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147947-21902582@events.umich.edu
URL:https://events.umich.edu/event/147947
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260831T134020
DTSTART;TZID=America/Detroit:20261029T153000
DTEND;TZID=America/Detroit:20261029T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Planning optimization approaches for power systems under wildfire-related decision-dependent uncertainty
DESCRIPTION:Abstract: \nThe interaction between power systems and wildfires can be dangerous and costly. Distribution grids can be liable for the outbreak of wildfires during extreme weather. In wildfire-prone areas\, investment planning should consider the impact of operational actions on wildfire-related uncertainties affecting line failure likelihood. To address this planning exercise\, we propose two decision-dependent uncertainty (DDU) aware  frameworks  to optimize the combination of upgrades to improve the system’s ability to deal with wildfires. The first one is two-stage distributionally robust planning optimization problem with DDU\, where the first stage determines optimal switching actions and line investments\, and the second stage evaluates the worst-case expected operational cost under a DDU framework designed to account for the endogenous impact of power-flow levels and hardening investment decisions in the line failure probabilities. The second one is a multi-horizon planning framework that integrates these timescales within a single distributionally robust stochastic optimization model to capture both long-term and short-term uncertainties. We develop an exact decomposition algorithm that produces coordinated investment and operational policies across both horizons.\n\nBiography:\nAlexandre Moreira is a research scientist in the Energy Technologies Area at Lawrence Berkeley National Laboratory. His research applies mathematical programming techniques to critical questions in power systems planning\, operations\, and economics\, with a particular focus on novel methodologies for transmission expansion planning that account for reliability and resilience. At Berkeley Lab\, he leads and collaborates on projects that develop foundational modeling frameworks and tools to (i) formulate risk-based optimization and decision-making models to propose transparent\, well-informed \"cost vs. risk\" tradeoffs for infrastructure planning\, and (ii) support the valuation of emerging technologies. He holds BSc and MSc degrees from PUC-Rio\, Brazil\, and a PhD from Imperial College London.\n\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147948-21902584@events.umich.edu
URL:https://events.umich.edu/event/147948
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260827T104817
DTSTART;TZID=America/Detroit:20261105T153000
DTEND;TZID=America/Detroit:20261105T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Decision Making for Sustainability Using the Objective Reduction Community Algorithm (ORCA)
DESCRIPTION:Abstract: \nMany objective optimization problems (MaOPs)\, defined here as problems with four or more objectives\, inherently arise when designing and operating sustainable process and energy systems. Nonetheless\, MaOPs remain a particularly difficult and understudied problem class owing to challenges in both scalably generating solutions (in the form of a Pareto frontier) and interpreting the solutions we do get. This talk begins by providing a tutorial overview of methods commonly used to generate Pareto frontiers for multi-objective (defined as two or more objectives) optimization problems\, alongside a discussion of why these approaches tend not to scale well when increasing the number of objectives. Then\, I present the Objective Reduction Community Algorithm (ORCA)\, our group’s novel approach for reducing the objective dimensionality of MaOP’s to a manageable two or three a priori to solving the problem. At a high level\, this approach identifies which objectives are likely to be pointing to similar decisions\, embeds this information into a graph\, and uses community detection to partition this graph to give groupings of objectives which are correlated within groups\, but competing between groups. Three case studies are presented which demonstrate the power and efficacy of this approach for sustainable decision making. In the first\, the correlation of planetary boundary objectives within a large scale sustainable fuel supply chain is assessed. The second case study considers changes in objective correlation due to intermittency in objective parameters\, and assesses the correlation between cost and emissions driven industrial demand response for two different electrified chemical processes. The third case study utilizes an extension of ORCA to nonlinear MaOP’s\, showcasing its utility on a commonly used set of benchmark problems with known objective correlations\, the DZLT5 problems\, as well as on a design problem for a carbon capture\, utilization\, and storage network. I conclude by providing some perspective on future applications of our approach to problems of distributed model predictive control and aligned agentic AI systems.\n\nBiography:\nAndrew Allman is currently an assistant professor in the Department of Chemical Engineering at the University of Michigan\, and has been in this position since fall 2020. Andrew is an alumnus of the University of Minnesota Department of Chemical Engineering and Materials Science\, where he obtained his Ph.D. with Prodromos Daoutidis in 2018 and subsequently worked in a post-doctoral position with Qi Zhang from graduation until joining Michigan. His awards include receiving the NSF CAREER Award in 2023\, and the CAST Director’s Student Presentation Award in 2018. His recent research at Michigan has focused on solving many-objective optimization problems\, assessing the operation and control of modular chemical production systems\, embedding machine-learned classifier models to enhance moving horizon decision making\, and solving structure detection problems for networks with constraints or uncertainty for distributed optimization.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147950-21902585@events.umich.edu
URL:https://events.umich.edu/event/147950
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260902T114523
DTSTART;TZID=America/Detroit:20261112T153000
DTEND;TZID=America/Detroit:20261112T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Battery SoX Intelligence: Millivolts Unlocking Gigawatt-hours
DESCRIPTION:Abstract: \nScaling grid storage with repurposed EV batteries requires precise degradation tracking. For LFP\, a flat open-circuit voltage curve obscures cell aging. This presentation demonstrates how monitoring millivolt-level behaviors extracts gigawatt-hours of latent capacity. By combining physics-informed models with electrochemical state estimation\, we resolve LFP and graphite phase-transitions. Operational data shows how these voltage signatures drive predictive aging forecasts and anomaly detection\, unlocking safe operation beyond industry-standard warranties. \n\nBiography:\nDr. Kandler Smith is Technical Fellow for Energy Storage Modeling at Moment Energy\, a second-use battery energy storage company. He previously worked for 19 years at U.S. DOE’s National Renewable Energy Laboratory as Team Lead for Electrochemical Modeling & Data Sciences\, developing multi-physics models of battery performance\, lifetime\, safety and technoeconomics. He holds a PhD in mechanical engineering from Penn State University (2006) where his research focused on electrochemical modeling\, estimation and control of lithium-ion batteries.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147951-21902586@events.umich.edu
URL:https://events.umich.edu/event/147951
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260831T101241
DTSTART;TZID=America/Detroit:20261119T153000
DTEND;TZID=America/Detroit:20261119T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - AI-Based Analytics and Energy Modeling Frameworks for Characterizing Urban Energy Systems
DESCRIPTION:Abstract: \nUrban energy systems are growing in complexity as they respond to the challenges of planning location-specific energy transitions. However\, current modeling approaches often fail to capture the physical\, behavioral\, and systemic diversity required for effective localized planning and decision-making.\n\nIn this talk\, I will present integrated frameworks that combine bottom-up physics-based modeling with AI-driven analytics for characterizing urban energy systems. I will first show how the URBANopt platform has developed capabilities that enable coordinated analysis and co-design across buildings\, DERs\, and the grid. I will then discuss an AI-driven capabilities that automates input generation and supports dynamic scenario exploration.\n\nThese capabilities transform urban energy system planning by reducing the labor required for model generation\, scaling scenario exploration\, and improving accuracy for localized analysis. Together\, they form a scalable and adaptable framework that provides stakeholders with actionable insights for planning reliable and efficient energy transitions.\n\nBiography:\nDr. Rawad El Kontar is a Senior Research Engineer at the U.S. Department of Energy’s National Laboratory of the Rockies (NLR). He is the lead developer of URBANopt\, DOE’s open-source urban energy modeling platform\, and the creator of the Urban Systems Generator\, an AI-driven framework that automates building-level data completion and scenario generation for city-scale energy modeling. With a multidisciplinary background spanning architecture\, building science\, and data science\, Rawad develops analytics and software platforms that integrate machine learning\, AI\, and energy simulation to accelerate the co-design and optimization of buildings\, distributed energy resources (DERs)\, and grid systems. His work supports stakeholders in advancing reliable and efficient energy.\n\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147953-21902590@events.umich.edu
URL:https://events.umich.edu/event/147953
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260908T100142
DTSTART;TZID=America/Detroit:20261203T153000
DTEND;TZID=America/Detroit:20261203T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series -  Hierarchy and Imperfect Competition in Power Markets afflicted by Uncertainty
DESCRIPTION:Abstract:\nModels for horizontal and hierarchical competition in power markets have been a source of significant interest over the last several decades. Yet less is known above computing equilibria in such settings particularly in the face of uncertainty. In this talk\, we discuss  flexible modeling paradigms for capturing Nash and Stackleberg equilibria in such settings. We briefly discuss computational methods for rigorous computation of equilibria in such settings. Time permitting\, we pose some open questions in this setting. \n\nBiography:\nUday V. Shanbhag is currently the Katta G. Murty Collegiate Professor and  has been at the department of Industrial and Operations Engineering at the University of Michigan at Ann Arbor since Fall\, 2024. From January 2017 to June 2024\, he held the Gary and Sheila Chaired Professorsip in the department of Industrial and Manufacturing Engineering (IME) at the Pennsylvania State University\, having been a tenured associate professor until 2016\, since arriving in Fall 2012. Prior to being at Penn. State\, from 2006–2012\, he was first an assistant professor\, and subsequently a tenured associate professor (for approx. 10 days)\, in the department of Industrial and Enterprise Systems engineering (ISE) at the University of Illinois at Urbana-Champaign (UIUC). He serves on the editorial boards of the SIAM Journal of Optimization\, the Mathematics of Operations Research\, Computational Optimization and its Applications\, and the Journal of Optimization Theory and Applications. Uday V. Shanbhag has a Ph.D. from Stanford University's department of Management Science and Engineering (2006)\, with a concentration in operations research and was associated with the Systems Optimization Laboratory when at Stanford. He also holds masters (1998) and undergraduate (1993) degrees from the Massachusetts Institute of Technology (MIT)\, Cambridge (in Operations Research) and the Indian Institute of Technology (IIT)\, Bombay\, respectively.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147954-21902598@events.umich.edu
URL:https://events.umich.edu/event/147954
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Materials Science,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences,Sustainability
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260819T123609
DTSTART;TZID=America/Detroit:20261217T153000
DTEND;TZID=America/Detroit:20261217T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series
DESCRIPTION:Abstract:\nBiography:\n\n\n\n\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:150530-21909567@events.umich.edu
URL:https://events.umich.edu/event/150530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free
LOCATION:
CONTACT:
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