Chris Bay
20182024

Research Activity per Year

Overview

Personal Profile

Chris has expertise in the design of control and optimization algorithms, with specific applications to wind plants, building energy systems, and the grid. Chris is also a core developer of FLORIS, the steady-state flow modeling tool developed by NREL. Since joining NREL, he has researched topics such as distributed optimal control for wind plants, wind turbine layout optimization, and model predictive control of energy systems. He is currently focused on wind plant control, hybrid system optimization, and resilient energy systems. 

Research Interests

Optimization and control

Wind energy

Buildings

Professional Experience

Post-doctoral Researcher, NREL (2018–Present)

Post-doctoral Researcher, Colorado School of Mines (2017–2018)

Post-doctoral Researcher, University of Colorado Boulder (2017–2018) 

Education/Academic Qualification

PhD, Mechanical Engineering, Texas A&M University

Master, Mechanical Engineering, University of Colorado Boulder

Bachelor, Mechanical Engineering, University of Colorado Boulder

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Collaborations and Top Research Areas From the Past 5 Years

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