Michael LoCascio
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2022
Bio
Michael's work focuses on wind energy at the intersection of computational fluid dynamics, controls, and optimization. He is interested in wake modeling, wind farm layout optimization, and large eddy simulations of wind farm flows. He is currently working on a low-cost model for the annual energy production of wind farms. Michael is also a graduate researcher at the National Wind Technology Center, a research facility of the National Renewable Energy Laboratory. He received his Master of Science in Mechanical Engineering from Stanford in 2023 and his Bachelor of Science in Mechanical Engineering from UCLA in 2020.
Education & Certifications
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MS, Stanford University, Mechanical Engineering (2023)
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BS, University of California, Los Angeles, Mechanical Engineering (2020)
All Publications
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FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models
WIND ENERGY SCIENCE
2022; 7 (3): 1137-1151
View details for DOI 10.5194/wes-7-1137-2022
View details for Web of Science ID 000803973200001