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

  • MS, Stanford University, Mechanical Engineering (2023)
  • BS, University of California, Los Angeles, Mechanical Engineering (2020)

Contact

  • Academic
    University - Student Department: Civil and Environmental Engineering Position: Graduate

Additional Info

  • Mail Code: 3030

All Publications

  • FLOWERS AEP: An Analytical Model for Wind Farm Layout Optimization WIND ENERGY Locascio, M. J., Bay, C. J., Martinez-Tossas, L. A., Bastankhah, M., Gorle, C. 2024

    View details for DOI 10.1002/we.2954

    View details for Web of Science ID 001342155600001

  • Data-driven wake model parameter estimation to analyze effects of wake superposition JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY Locascio, M. J., Gorle, C., Howland, M. F. 2023; 15 (6)

    View details for DOI 10.1063/5.0163896

    View details for Web of Science ID 001123550800001

  • FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models WIND ENERGY SCIENCE LoCascio, M. J., Bay, C. J., Bastankhah, M., Barter, G. E., Fleming, P. A., Martinez-Tossas, L. A. 2022; 7 (3): 1137-1151

    View details for DOI 10.5194/wes-7-1137-2022

    View details for Web of Science ID 000803973200001