Articles | Volume 4, issue 2
Wind Energ. Sci., 4, 163–192, 2019
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.
Wind Energ. Sci., 4, 163–192, 2019
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
Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine
Mads H. Aa. Madsen et al.
Viewed
Total article views: 5,331 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Oct 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,996 | 1,284 | 51 | 5,331 | 58 | 47 |
- HTML: 3,996
- PDF: 1,284
- XML: 51
- Total: 5,331
- BibTeX: 58
- EndNote: 47
Total article views: 4,531 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,595 | 892 | 44 | 4,531 | 49 | 42 |
- HTML: 3,595
- PDF: 892
- XML: 44
- Total: 4,531
- BibTeX: 49
- EndNote: 42
Total article views: 800 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Oct 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 401 | 392 | 7 | 800 | 9 | 5 |
- HTML: 401
- PDF: 392
- XML: 7
- Total: 800
- BibTeX: 9
- EndNote: 5
Viewed (geographical distribution)
Total article views: 3,927 (including HTML, PDF, and XML)
Thereof 3,810 with geography defined
and 117 with unknown origin.
Total article views: 3,272 (including HTML, PDF, and XML)
Thereof 3,156 with geography defined
and 116 with unknown origin.
Total article views: 655 (including HTML, PDF, and XML)
Thereof 654 with geography defined
and 1 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
19 citations as recorded by crossref.
- Aerodynamic design optimization: Challenges and perspectives J. Martins 10.1016/j.compfluid.2022.105391
- Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization N. Secco et al. 10.2514/1.J059491
- 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
- Effective adjoint approaches for computational fluid dynamics G. Kenway et al. 10.1016/j.paerosci.2019.05.002
- 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
- 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
- ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization C. Mader et al. 10.2514/1.I010796
- 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
- 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
- A Jacobian-free approximate Newton–Krylov startup strategy for RANS simulations A. Yildirim et al. 10.1016/j.jcp.2019.06.018
- Adjoint-based aerodynamic shape optimization including transition to turbulence effects G. Halila et al. 10.1016/j.ast.2020.106243
- Optimum aerodynamic shape design under uncertainty by utility theory and metamodeling X. Du & L. Leifsson 10.1016/j.ast.2019.105464
18 citations as recorded by crossref.
- Aerodynamic design optimization: Challenges and perspectives J. Martins 10.1016/j.compfluid.2022.105391
- Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization N. Secco et al. 10.2514/1.J059491
- 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
- Effective adjoint approaches for computational fluid dynamics G. Kenway et al. 10.1016/j.paerosci.2019.05.002
- 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
- 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
- ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization C. Mader et al. 10.2514/1.I010796
- 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
- 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
- A Jacobian-free approximate Newton–Krylov startup strategy for RANS simulations A. Yildirim et al. 10.1016/j.jcp.2019.06.018
- Adjoint-based aerodynamic shape optimization including transition to turbulence effects G. Halila et al. 10.1016/j.ast.2020.106243
1 citations as recorded by crossref.
Latest update: 28 Sep 2022
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...
