Adjoint-Based High-Fidelity Aeroelastic Optimization of Wind Turbine Blade for Load Stress Minimization

Anderson, Evan M.; Bhuiyan, Faisal H.; Mavriplis, Dimitri J.; Fertig, Ray S.

doi:10.2514/6.2018-1241

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…As previously mentioned, structural considerations are crucial in wind turbine design. Anderson et al (2018) partially addressed this issue by coupling the NSU3D RANS solver with the AStrO structural finite element solver through a fluid-structure interface to converge on realistic, steadystate loads on the SWiFT RWT. They used Abaqus to make a finite element model with shell elements.…”

Section: High-fidelity Cfd-based Optimization Using the Adjoint Methodsmentioning

confidence: 99%

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Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine

Madsen¹,

Zahle²,

Sørensen³

et al. 2019

Wind Energ. Sci.

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Abstract. The wind energy industry relies heavily on computational fluid dynamics (CFD) to analyze new turbine designs. To utilize CFD earlier in the design process, where lower-fidelity methods such as blade element momentum (BEM) are more common, requires the development of new tools. Tools that utilize numerical optimization are particularly valuable because they reduce the reliance on design by trial and error. We present the first comprehensive 3-D CFD adjoint-based shape optimization of a modern 10 MW offshore wind turbine. The optimization problem is aligned with a case study from International Energy Agency (IEA) Wind Task 37, making it possible to compare our findings with the BEM results from this case study and therefore allowing us to determine the value of design optimization based on high-fidelity models. The comparison shows that the overall design trends suggested by the two models do agree, and that it is particularly valuable to consult the high-fidelity model in areas such as root and tip where BEM is inaccurate. In addition, we compare two different CFD solvers to quantify the effect of modeling compressibility and to estimate the accuracy of the chosen grid resolution and order of convergence of the solver. Meshes up to 14×106 cells are used in the optimization whereby flow details are resolved. The present work shows that it is now possible to successfully optimize modern wind turbines aerodynamically under normal operating conditions using Reynolds-averaged Navier–Stokes (RANS) models. The key benefit of a 3-D RANS approach is that it is possible to optimize the blade planform and cross-sectional shape simultaneously, thus tailoring the shape to the actual 3-D flow over the rotor. This work does not address evaluation of extreme loads used for structural sizing, where BEM-based methods have proven very accurate, and therefore will likely remain the method of choice.

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Section: High-fidelity Cfd-based Optimization Using the Adjoint Methodsmentioning

confidence: 99%

“…Simply upscaling the turbine leads to an increase in swept area, which in turn extracts more energy. However, a naive upscaling does not capture the complexity of the problem (Ashuri, 2012).…”

Section: Introductionmentioning

confidence: 99%

Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine

Madsen¹,

Zahle²,

Sørensen³

et al. 2019

Wind Energ. Sci.

View full text Add to dashboard Cite

show abstract

“…Finally, at the end of this short literature overview we allow a side note to briefly mention the recent work by Anderson et al (2018) who couple the high-fidelity NSU3D flow solver and the high-fidelity AStrO structural finite element solver through (Nadarajah, 2003) there are evidently two parameterization options: i) mesh points (seemingly the preferred approach by Nadarajah) and ii) Hicks-Henne functions. Since the latter do not require gradient smoothing and since Ritlop and Nadarajah do indeed smooth gradients we assume that they use the actual surface mesh points as design variables.…”

Section: High-fidelity Optimization Using the Adjoint Methodsmentioning

confidence: 99%

Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine

Madsen¹,

Zahle²,

Sørensen³

et al. 2018

Preprint

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Abstract. The wind energy industry relies heavily on CFD to analyze new turbine designs. To utilize CFD further upstream the design process where lower fidelity methods such as BEM are more common, requires the development of new tools. Tools that utilize numerical optimization are particularly valuable because they reduce the reliance on design by trial and error. We present the first comprehensive 3D CFD adjoint-based shape optimization of a modern 10&thisp;MW offshore wind turbine. The optimization problem is aligned with a case study from IEA Wind Task 37, making it possible to compare our findings with the BEM results from this case study, allowing us to determine the value of design optimization based on high-fidelity models. The comparison shows, that the overall design trends suggested by the two models do agree, and that it is particularly valuable to consult the high-fidelity model in areas such as root and tip where BEM is inaccurate. In addition, we compare two different CFD solvers to quantify the effect of modeling compressibility and to estimate the accuracy of the chosen grid resolution and order of convergence of the solver. Meshes up to 14 · 106 cells are used in the optimization whereby flow details are resolved. The present work shows that it is now possible to successfully optimize modern wind turbines aerodynamically under normal operating conditions using RANS models. The key benefit of a 3D RANS approach is that it is possible to optimize the blade planform and cross-sectional shape simultaneously, thus tailoring the shape to the actual 3D flow over the rotor, which is particularly important near the root and tip of the blade. This work does not address evaluation of extreme loads used for structural sizing, where BEM-based methods have proven very accurate, and therefore will likely remain the method of choice.

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Development and Validation of a High-Fidelity Aero-Thermo-Elastic Analysis Capability

Kamali

Mavriplis

Anderson

2020

AIAA Scitech 2020 Forum

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Adjoint-Based High-Fidelity Aeroelastic Optimization of Wind Turbine Blade for Load Stress Minimization

Cited by 4 publications

References 16 publications

Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine

Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine

Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine

Development and Validation of a High-Fidelity Aero-Thermo-Elastic Analysis Capability

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