Chris Bay
20182024

Research Activity per Year

Overview

Personal Profile

Chris Bay has expertise in the design of control and optimization algorithms, with specific applications to wind plants, building energy systems, and the grid. Bay 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

Postdoctoral Researcher, NREL (2018–Present)

Postdoctoral Researcher, Colorado School of Mines (2017–2018)

Postdoctoral 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

Fingerprint

Dive into the research topics where Chris Bay is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and Top Research Areas From the Past 5 Years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or