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Proceedings Papers

Evaluation of Commercial Building Clusters With Energy Storage to Reduce Reliance on Electrical Utility Grids

Gregory Kaminski, Philip Odonkor

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A025, August 17–19, 2021

Paper No: DETC2021-67313

DOI: https://doi.org/10.1115/DETC2021-67313

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Topics: Commercial construction, Distributed power generation, Energy storage

Proceedings Papers

Understanding the Energy Behavior of Building Occupants Through the Chronology of Their Energy Interactions

Danielle Preziuso, Gregory Kaminski, Philip Odonkor

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A014, August 17–19, 2021

Paper No: DETC2021-69953

DOI: https://doi.org/10.1115/DETC2021-69953

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Topics: Energy consumption, Intelligent buildings, Machinery, Structures

Proceedings Papers

Designing Optimal Arbitrage Policies for Distributed Energy Systems in Building Clusters Using Reinforcement Learning

Philip Odonkor, Kemper Lewis

Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A024, August 18–21, 2019

Paper No: DETC2019-97190

DOI: https://doi.org/10.1115/DETC2019-97190

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Topics: Design, Distributed power generation

Journal Articles

Data-Driven Design of Control Strategies for Distributed Energy Systems

Philip Odonkor, Kemper Lewis

J. Mech. Des. November 2019, 141(11): 111404.

Paper No: MD-19-1150

DOI: https://doi.org/10.1115/1.4044077

Published Online: September 16, 2019

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Topics: Batteries, Design, Storage, Photovoltaic power systems, Distributed power generation

Journal Articles

Automated Design of Energy Efficient Control Strategies for Building Clusters Using Reinforcement Learning

Philip Odonkor, Kemper Lewis

J. Mech. Des. February 2019, 141(2): 021704.

Paper No: MD-18-1541

DOI: https://doi.org/10.1115/1.4041629

Published Online: December 20, 2018

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Topics: Batteries, Storage, Algorithms, Design

Proceedings Papers

Control of Shared Energy Storage Assets Within Building Clusters Using Reinforcement Learning

Philip Odonkor, Kemper Lewis

Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A028, August 26–29, 2018

Paper No: DETC2018-86094

DOI: https://doi.org/10.1115/DETC2018-86094

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Topics: Algorithms, Batteries, Energy storage

Proceedings Papers

A Distributed Intelligence Approach to Using Collaborating Unmanned Aerial Vehicles for Oil Spill Mapping

Philip Odonkor, Zachary Ball, Souma Chowdhury

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A009, August 6–9, 2017

Paper No: DETC2017-68320

DOI: https://doi.org/10.1115/DETC2017-68320

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Topics: Unmanned aerial vehicles, Probability, Dynamics (Mechanics), Image segmentation, Ocean engineering, Preferences, Teams

Proceedings Papers

Optimization of Energy Use Strategies in Building Clusters Using Pareto Bands

Philip Odonkor, Kemper Lewis

Proc. ASME. IDETC-CIE2016, Volume 2A: 42nd Design Automation Conference, V02AT03A024, August 21–24, 2016

Paper No: DETC2016-59963

DOI: https://doi.org/10.1115/DETC2016-59963

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Topics: Energy consumption, Optimization, Uncertainty, Engineering simulation, Simulation, Trains, Uncertainty analysis

Journal Articles

Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters

Philip Odonkor, Kemper Lewis, Jin Wen, Teresa Wu

J. Mech. Des. June 2016, 138(6): 061405.

Paper No: MD-15-1676

DOI: https://doi.org/10.1115/1.4033395

Published Online: May 2, 2016

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Topics: Batteries, Energy consumption, Optimization, Preferences, Stress, Structures, Temperature, Tradeoffs, Design, Ice

Proceedings Papers

Adaptive Operation Decisions in Net Zero Building Clusters

Philip Odonkor, Kemper Lewis

Proc. ASME. IDETC-CIE2015, Volume 2A: 41st Design Automation Conference, V02AT03A029, August 2–5, 2015

Paper No: DETC2015-47290

DOI: https://doi.org/10.1115/DETC2015-47290

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Topics: Energy consumption, Fluctuations (Physics), Optimization, Pareto analysis, Preferences, Structures, Tradeoffs

Proceedings Papers

Energy Optimization in Net-Zero Energy Building Clusters

Philip Odonkor, Kemper Lewis, Jin Wen, Teresa Wu

Proc. ASME. IDETC-CIE2014, Volume 2A: 40th Design Automation Conference, V02AT03A023, August 17–20, 2014

Paper No: DETC2014-34970

DOI: https://doi.org/10.1115/DETC2014-34970

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Topics: Optimization, Structures, Smart grids, Air conditioning, Cycles, Distributed power generation, Energy budget (Physics), Energy management, Energy storage, Heating

Journal citation

NARROW

Evaluation of Commercial Building Clusters With Energy Storage to Reduce Reliance on Electrical Utility Grids

Understanding the Energy Behavior of Building Occupants Through the Chronology of Their Energy Interactions

Designing Optimal Arbitrage Policies for Distributed Energy Systems in Building Clusters Using Reinforcement Learning

Data-Driven Design of Control Strategies for Distributed Energy Systems

Automated Design of Energy Efficient Control Strategies for Building Clusters Using Reinforcement Learning

Control of Shared Energy Storage Assets Within Building Clusters Using Reinforcement Learning

A Distributed Intelligence Approach to Using Collaborating Unmanned Aerial Vehicles for Oil Spill Mapping

Optimization of Energy Use Strategies in Building Clusters Using Pareto Bands

Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters

Adaptive Operation Decisions in Net Zero Building Clusters

Energy Optimization in Net-Zero Energy Building Clusters

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