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.
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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Cited
14 citations as recorded by crossref.
- Control Co-Design Studies for a 22 MW Semisubmersible Floating Wind Turbine Platform D. Zalkind & P. Bortolotti 10.1088/1742-6596/2767/8/082020
- Structural Design Optimization of Tidal Current Turbine Blades Based on Structural Safety Factors H. Jeong & C. Yang 10.1109/ACCESS.2024.3514102
- A low-fidelity model for the dynamic analysis of full-lattice wind support structures M. Vergassola et al. 10.1016/j.marstruc.2023.103506
- SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes P. Saves et al. 10.1016/j.advengsoft.2023.103571
- Aerodynamic Design of Wind Turbine Blades Using Multi-Fidelity Analysis and Surrogate Models R. Cardamone et al. 10.3390/ijtpp10030016
- An optimization framework for wind farm layout design using CFD-based Kriging model Z. Wang et al. 10.1016/j.oceaneng.2023.116644
- Stiffness-proportional foundation damping to linearise soil-monopile interaction models for wind turbines A. Tombari et al. 10.1016/j.soildyn.2025.109387
- Multiobjective Optimization of Composite Wind Turbine Blade M. Jureczko & M. Mrówka 10.3390/ma15134649
- Control co-design of a floating offshore wind turbine N. Abbas et al. 10.1016/j.apenergy.2023.122036
- A multi-fidelity framework for power prediction of wind farm under yaw misalignment Y. Tu et al. 10.1016/j.apenergy.2024.124600
- Non-myopic multipoint multifidelity Bayesian framework for multidisciplinary design F. Di Fiore & L. Mainini 10.1038/s41598-023-48757-3
- Land-based wind turbines with flexible rail-transportable blades – Part 1: Conceptual design and aeroservoelastic performance P. Bortolotti et al. 10.5194/wes-6-1277-2021
- Effectively using multifidelity optimization for wind turbine design J. Jasa et al. 10.5194/wes-7-991-2022
- Harnessing Offshore Wind Energy along the Mexican Coastline in the Gulf of Mexico—An Exploratory Study including Sustainability Criteria G. Hernández Galvez et al. 10.3390/su14105877
11 citations as recorded by crossref.
- Control Co-Design Studies for a 22 MW Semisubmersible Floating Wind Turbine Platform D. Zalkind & P. Bortolotti 10.1088/1742-6596/2767/8/082020
- Structural Design Optimization of Tidal Current Turbine Blades Based on Structural Safety Factors H. Jeong & C. Yang 10.1109/ACCESS.2024.3514102
- A low-fidelity model for the dynamic analysis of full-lattice wind support structures M. Vergassola et al. 10.1016/j.marstruc.2023.103506
- SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes P. Saves et al. 10.1016/j.advengsoft.2023.103571
- Aerodynamic Design of Wind Turbine Blades Using Multi-Fidelity Analysis and Surrogate Models R. Cardamone et al. 10.3390/ijtpp10030016
- An optimization framework for wind farm layout design using CFD-based Kriging model Z. Wang et al. 10.1016/j.oceaneng.2023.116644
- Stiffness-proportional foundation damping to linearise soil-monopile interaction models for wind turbines A. Tombari et al. 10.1016/j.soildyn.2025.109387
- Multiobjective Optimization of Composite Wind Turbine Blade M. Jureczko & M. Mrówka 10.3390/ma15134649
- Control co-design of a floating offshore wind turbine N. Abbas et al. 10.1016/j.apenergy.2023.122036
- A multi-fidelity framework for power prediction of wind farm under yaw misalignment Y. Tu et al. 10.1016/j.apenergy.2024.124600
- Non-myopic multipoint multifidelity Bayesian framework for multidisciplinary design F. Di Fiore & L. Mainini 10.1038/s41598-023-48757-3
3 citations as recorded by crossref.
- Land-based wind turbines with flexible rail-transportable blades – Part 1: Conceptual design and aeroservoelastic performance P. Bortolotti et al. 10.5194/wes-6-1277-2021
- Effectively using multifidelity optimization for wind turbine design J. Jasa et al. 10.5194/wes-7-991-2022
- Harnessing Offshore Wind Energy along the Mexican Coastline in the Gulf of Mexico—An Exploratory Study including Sustainability Criteria G. Hernández Galvez et al. 10.3390/su14105877
Latest update: 01 Aug 2025
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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