Articles | Volume 4, issue 2
https://doi.org/10.5194/wes-4-163-2019
© Author(s) 2019. 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-4-163-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Apr 2019
Research article |
| 03 Apr 2019
| 03 Apr 2019
Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine
Aerodynamic Design Section, DTU Wind Energy, Risø Campus, Frederiksborgvej 399, 4000 Roskilde, Denmark
Frederik Zahle
Aerodynamic Design Section, DTU Wind Energy, Risø Campus, Frederiksborgvej 399, 4000 Roskilde, Denmark
Niels N. Sørensen
Aerodynamic Design Section, DTU Wind Energy, Risø Campus, Frederiksborgvej 399, 4000 Roskilde, Denmark
Joaquim R. R. A. Martins
Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Viewed
Total article views: 6,771 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Oct 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,965 | 1,731 | 75 | 6,771 | 94 | 77 |
- HTML: 4,965
- PDF: 1,731
- XML: 75
- Total: 6,771
- BibTeX: 94
- EndNote: 77
Total article views: 5,868 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,550 | 1,255 | 63 | 5,868 | 81 | 67 |
- HTML: 4,550
- PDF: 1,255
- XML: 63
- Total: 5,868
- BibTeX: 81
- EndNote: 67
Total article views: 903 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Oct 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 415 | 476 | 12 | 903 | 13 | 10 |
- HTML: 415
- PDF: 476
- XML: 12
- Total: 903
- BibTeX: 13
- EndNote: 10
Viewed (geographical distribution)
Total article views: 6,771 (including HTML, PDF, and XML)
Thereof 5,158 with geography defined
and 1,613 with unknown origin.
Total article views: 5,868 (including HTML, PDF, and XML)
Thereof 4,407 with geography defined
and 1,461 with unknown origin.
Total article views: 903 (including HTML, PDF, and XML)
Thereof 751 with geography defined
and 152 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
35 citations as recorded by crossref.
- Floating Offshore Wind Turbines: Current Status and Future Prospects M. Barooni et al. 10.3390/en16010002
- Aerodynamic design optimization: Challenges and perspectives J. Martins 10.1016/j.compfluid.2022.105391
- Aerostructural Design Optimization of Wind Turbine Blades S. Batay et al. 10.3390/pr12010022
- FastSVD-ML–ROM: A reduced-order modeling framework based on machine learning for real-time applications G. Drakoulas et al. 10.1016/j.cma.2023.116155
- Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization N. Secco et al. 10.2514/1.J059491
- An efficient geometric constraint handling method for surrogate-based aerodynamic shape optimization K. Wang et al. 10.1080/19942060.2022.2153173
- Integrated design optimization of spar floating wind turbines J. Hegseth et al. 10.1016/j.marstruc.2020.102771
- pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems N. Wu et al. 10.21105/joss.02564
- Multifidelity aerodynamic shape optimization for airfoil dynamic stall mitigation using manifold mapping V. Raul & L. Leifsson 10.1016/j.jocs.2024.102213
- Aerothermal optimization of a ribbed U-bend cooling channel using the adjoint method P. He et al. 10.1016/j.ijheatmasstransfer.2019.05.075
- Aero‐hydro‐servo‐elastic coupling of a multi‐body finite‐element solver and a multi‐fidelity vortex method N. Ramos‐García et al. 10.1002/we.2584
- Optimum aerodynamic shape design under uncertainty by utility theory and metamodeling X. Du & L. Leifsson 10.1016/j.ast.2019.105464
- Kriging-based shape optimization framework for blended-wing-body underwater glider with NURBS-based parametrization D. Zhang et al. 10.1016/j.oceaneng.2020.108212
- Blade-Resolved CFD Simulations of a Periodic Array of NREL 5 MW Rotors with and without Towers L. Ma et al. 10.3390/wind2010004
- Laminar-turbulent transition characteristics of a 3-D wind turbine rotor blade based on experiments and computations Ö. Özçakmak et al. 10.5194/wes-5-1487-2020
- RANS-Based Aerodynamic Shape Optimization of a Wing Considering Propeller–Wing Interaction S. Chauhan & J. Martins 10.2514/1.C035991
- Data-driven modal parameterization for robust aerodynamic shape optimization of wind turbine blades J. Li et al. 10.1016/j.renene.2024.120115
- Development of a second-order dynamic stall model N. Adema et al. 10.5194/wes-5-577-2020
- Invertible Neural Networks for Airfoil Design A. Glaws et al. 10.2514/1.J060866
- Adjoint-based aerodynamic shape optimization including transition to turbulence effects G. Halila et al. 10.1016/j.ast.2020.106243
- pyGeo: A geometry package for multidisciplinary design optimization H. Hajdik et al. 10.21105/joss.05319
- Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
- Convergence enhancement of SIMPLE-like steady-state RANS solvers applied to airfoil and cylinder flows A. Dicholkar et al. 10.1016/j.jweia.2021.104863
- Aerodynamic shape optimization of wind turbine rotor blades using the continuous adjoint method M. Farhikhteh et al. 10.1007/s11081-023-09868-y
- Effective adjoint approaches for computational fluid dynamics G. Kenway et al. 10.1016/j.paerosci.2019.05.002
- Numerical study of ice-induced loads and dynamic response analysis for floating offshore wind turbines M. Barooni et al. 10.1016/j.marstruc.2022.103300
- On the Contribution of Wall Distance Fields to the Adjoint of a RANS Model M. Ugolotti et al. 10.1080/10618562.2023.2176487
- Numerical Simulations of the NREL Phase VI Wind Turbine with Low-Amplitude Sinusoidal Pitch A. Akbarzadeh & I. Borazjani 10.3390/fluids8070201
- On the importance of the root-to-hub adapter effects on HAWT performance: A CFD-BEM numerical investigation S. Mauro et al. 10.1016/j.energy.2023.127456
- Design optimization methodology of small horizontal axis wind turbine blades using a hybrid CFD/BEM/GA approach C. Rodriguez & C. Celis 10.1007/s40430-022-03561-4
- CFD-based curved tip shape design for wind turbine blades M. Madsen et al. 10.5194/wes-7-1471-2022
- ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization C. Mader et al. 10.2514/1.I010796
- Adjoint-Based High-Fidelity Concurrent Aerodynamic Design Optimization of Wind Turbine S. Batay et al. 10.3390/fluids8030085
- A Jacobian-free approximate Newton–Krylov startup strategy for RANS simulations A. Yildirim et al. 10.1016/j.jcp.2019.06.018
- Optimum aerodynamic shape design under uncertainty by utility theory and metamodeling X. Du & L. Leifsson 10.1016/j.ast.2019.105464
34 citations as recorded by crossref.
- Floating Offshore Wind Turbines: Current Status and Future Prospects M. Barooni et al. 10.3390/en16010002
- Aerodynamic design optimization: Challenges and perspectives J. Martins 10.1016/j.compfluid.2022.105391
- Aerostructural Design Optimization of Wind Turbine Blades S. Batay et al. 10.3390/pr12010022
- FastSVD-ML–ROM: A reduced-order modeling framework based on machine learning for real-time applications G. Drakoulas et al. 10.1016/j.cma.2023.116155
- Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization N. Secco et al. 10.2514/1.J059491
- An efficient geometric constraint handling method for surrogate-based aerodynamic shape optimization K. Wang et al. 10.1080/19942060.2022.2153173
- Integrated design optimization of spar floating wind turbines J. Hegseth et al. 10.1016/j.marstruc.2020.102771
- pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems N. Wu et al. 10.21105/joss.02564
- Multifidelity aerodynamic shape optimization for airfoil dynamic stall mitigation using manifold mapping V. Raul & L. Leifsson 10.1016/j.jocs.2024.102213
- Aerothermal optimization of a ribbed U-bend cooling channel using the adjoint method P. He et al. 10.1016/j.ijheatmasstransfer.2019.05.075
- Aero‐hydro‐servo‐elastic coupling of a multi‐body finite‐element solver and a multi‐fidelity vortex method N. Ramos‐García et al. 10.1002/we.2584
- Optimum aerodynamic shape design under uncertainty by utility theory and metamodeling X. Du & L. Leifsson 10.1016/j.ast.2019.105464
- Kriging-based shape optimization framework for blended-wing-body underwater glider with NURBS-based parametrization D. Zhang et al. 10.1016/j.oceaneng.2020.108212
- Blade-Resolved CFD Simulations of a Periodic Array of NREL 5 MW Rotors with and without Towers L. Ma et al. 10.3390/wind2010004
- Laminar-turbulent transition characteristics of a 3-D wind turbine rotor blade based on experiments and computations Ö. Özçakmak et al. 10.5194/wes-5-1487-2020
- RANS-Based Aerodynamic Shape Optimization of a Wing Considering Propeller–Wing Interaction S. Chauhan & J. Martins 10.2514/1.C035991
- Data-driven modal parameterization for robust aerodynamic shape optimization of wind turbine blades J. Li et al. 10.1016/j.renene.2024.120115
- Development of a second-order dynamic stall model N. Adema et al. 10.5194/wes-5-577-2020
- Invertible Neural Networks for Airfoil Design A. Glaws et al. 10.2514/1.J060866
- Adjoint-based aerodynamic shape optimization including transition to turbulence effects G. Halila et al. 10.1016/j.ast.2020.106243
- pyGeo: A geometry package for multidisciplinary design optimization H. Hajdik et al. 10.21105/joss.05319
- Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
- Convergence enhancement of SIMPLE-like steady-state RANS solvers applied to airfoil and cylinder flows A. Dicholkar et al. 10.1016/j.jweia.2021.104863
- Aerodynamic shape optimization of wind turbine rotor blades using the continuous adjoint method M. Farhikhteh et al. 10.1007/s11081-023-09868-y
- Effective adjoint approaches for computational fluid dynamics G. Kenway et al. 10.1016/j.paerosci.2019.05.002
- Numerical study of ice-induced loads and dynamic response analysis for floating offshore wind turbines M. Barooni et al. 10.1016/j.marstruc.2022.103300
- On the Contribution of Wall Distance Fields to the Adjoint of a RANS Model M. Ugolotti et al. 10.1080/10618562.2023.2176487
- Numerical Simulations of the NREL Phase VI Wind Turbine with Low-Amplitude Sinusoidal Pitch A. Akbarzadeh & I. Borazjani 10.3390/fluids8070201
- On the importance of the root-to-hub adapter effects on HAWT performance: A CFD-BEM numerical investigation S. Mauro et al. 10.1016/j.energy.2023.127456
- Design optimization methodology of small horizontal axis wind turbine blades using a hybrid CFD/BEM/GA approach C. Rodriguez & C. Celis 10.1007/s40430-022-03561-4
- CFD-based curved tip shape design for wind turbine blades M. Madsen et al. 10.5194/wes-7-1471-2022
- ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization C. Mader et al. 10.2514/1.I010796
- Adjoint-Based High-Fidelity Concurrent Aerodynamic Design Optimization of Wind Turbine S. Batay et al. 10.3390/fluids8030085
- A Jacobian-free approximate Newton–Krylov startup strategy for RANS simulations A. Yildirim et al. 10.1016/j.jcp.2019.06.018
1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 24 Apr 2024
Short summary
The wind energy industry relies heavily on CFD to analyze new designs. This paper investigates a way to utilize CFD further upstream the design process where lower-fidelity methods are used. We present the first comprehensive 3-D CFD adjoint-based shape optimization of a 10 MW modern offshore wind turbine. The present work shows that, with the right tools, we can model the entire geometry, including the root, and optimize modern wind turbine rotors at the cost of a few hundred CFD evaluations.
The wind energy industry relies heavily on CFD to analyze new designs. This paper investigates a...
Altmetrics
Final-revised paper
Preprint