Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-991-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-991-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 May 2022
Research article |
| 11 May 2022
| 11 May 2022
Effectively using multifidelity optimization for wind turbine design
National Renewable Energy Laboratory, Boulder, CO, United States
Pietro Bortolotti
National Renewable Energy Laboratory, Boulder, CO, United States
Daniel Zalkind
National Renewable Energy Laboratory, Boulder, CO, United States
Garrett Barter
National Renewable Energy Laboratory, Boulder, CO, United States
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Short summary
Using highly accurate simulations within a design cycle is prohibitively computationally expensive. We implement and present a multifidelity optimization method and showcase its efficacy using three different case studies. We examine aerodynamic blade design, turbine controls tuning, and a wind plant layout problem. In each case, the multifidelity method finds an optimal design that performs better than those obtained using simplified models but at a lower cost than high-fidelity optimization.
Using highly accurate simulations within a design cycle is prohibitively computationally...
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