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Smart Grid

Minjie Chen

Assistant Professor of Electrical and Computer Engineering and the Andlinger Center for Energy and the Environment

Location: 217 Andlinger
Phone Number: 609-258-7656
Email Address:

Research Description:

Design of power conversion and management systems to address technical challenges with large social impacts. High performance power conversion systems for a wide range of applications, including smart grid, renewable generation, energy storage, telecom, data centers, electric vehicles, and robotics.

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H. Vincent Poor

Michael Henry Strater University Professor of Electrical and Computer Engineering

Andlinger Center Associated Faculty

Location: B330 Engineering Quad B-Wing
Phone Number: 609-258-1816
Email Address:

Research Description:

Energy-efficiency in wireless networks; smart grid, Internet of Things, power system resilience

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Warren Powell

Professor of Operations Research and Financial Engineering, emeritus

Location: 230 Sherrerd Hall
Phone Number: 609-258-5373
Email Address:

Research Description:

Models for the design and control of a broad range of problems in energy systems, emphasizing problems that involve decisions and uncertainty. A major focus has been the study of high penetrations of renewables, and the design and control of energy storage systems. We are also working on models for driverless fleets of electric vehicles, uncertainty models of wind, solar and electricity prices, and the economics of energy portfolios.

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Elke U. Weber

Gerhard R. Andlinger Professor in Energy and the Environment

Professor of Psychology and Public Affairs, Princeton School of Public and International Affairs

Associate Director for Education, Andlinger Center for Energy and the Environment

Andlinger Center Executive Committee

Location: 86 Olden Street
Phone Number: 646-896-9410
Email Address:

Research Description:

Questions at the intersection of psychology, economics, engineering, and policy that address the importance and role of descriptive/behavioral models of judgment and decision-making under risk and uncertainty and for decisions with long time horizons in environmental and energy-related decision making and policy. Psychologically appropriate ways to measure and model individual, group, or cultural differences in risk taking and time discounting across domains.

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