Research Output per Year
Research Output per Year
Overview
Personal Profile
John Jasa is a senior researcher in the Wind Hybrid Systems group at NREL. His work involves systems engineering, computational modeling, and tool development to optimize how to create and operate next-generation hybrid energy systems. Jasa works on projects that investigate using renewables to efficiently produce electricity, hydrogen, steel, and usable iron. He previously worked at NREL in the Offshore Wind group developing and applying systems engineering tools (WISDEM, WEIS) to optimize wind turbine designs. Prior to joining NREL, he worked at NASA as a multidisciplinary design engineer focused on hybrid aircraft optimization and open-source tool development. Jasa is particularly interested in the intersection of energy justice and systems engineering to help create a more equitable and green future.
Research Interests
Hybrids systems engineering
Multidisciplinary design optimization
Open-source tool development
Energy justice
Education/Academic Qualification
PhD, Aerospace Engineering, University of Michigan
Master, Aerospace Engineering, University of Michigan
Bachelor, Mechanical Engineering, University of Nebraska
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Collaborations and Top Research Areas From the Past 5 Years
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A Comparison of Eight Optimization Methods Applied to a Wind Farm Layout Optimization Problem
Thomas, J., Baker, N., Malisani, P., Quaeghebeur, E., Sanchez Perez-Moreno, S., Jasa, J., Bay, C., Tilli, F., Bieniek, D., Robinson, N., Stanley, A., Holt, W. & Ning, A., 2023, In: Wind Energy Science. 8, 5, p. 865-891 27 p.Research output: Contribution to journal › Article › peer-review
12 Scopus Citations -
A Comparison of Eight Optimization Methods Applied to a Wind Farm Layout Optimization Problem
Thomas, J., Baker, N., Malisani, P., Quaeghebeur, E., Sanchez Perez-Moreno, S., Jasa, J., Bay, C., Tilli, F., Bieniek, D., Robinson, N., Stanley, A., Holt, W. & Ning, A., 2022, In: Wind Energy Science Discussions. 43 p.Research output: Contribution to journal › Article
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Effectively Using Multifidelity Optimization for Wind Turbine Design
Jasa, J., Bortolotti, P., Zalkind, D. & Barter, G., 2022, In: Wind Energy Science. 7, 3, p. 991-1006 16 p.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus Citations -
Efficient Loads Surrogates for Waked Turbines in an Array
Shaler, K., Jasa, J. & Barter, G., 2 Jun 2022, In: Journal of Physics: Conference Series. 2265, 3, 12 p., Article No. 032095.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus Citations -
Enabling Innovation in Wind Turbine Design Using Artificial Intelligence
Vijayakumar, G., Glaws, A., Lee, B., Jung, Y. S., Baeder, J., Doronina, O., Grey, Z., Jasa, J., Marepally, K., King, R. & Ananthan, S., 2022Research output: NREL › Poster