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[PDF] CFD-based Multidisciplinary Design Optimization of Wind Turbine ...

https://www.nlr.gov/docs/libraries/wind-docs/engineering-wkshp2022-5-1-mangan…

1 CFD-BASED MULTIDISCIPLINARY DESIGN OPTIMIZATION OF WIND TURBINE ROTORS Marco Mangano Joaquim R.R.A. Martins With contributions from: Sicheng He, Yingqian Liao, Denis-Gabriel Caprace, Anil Yildirim, Bernardo Pacini, Josh Anibal ATLANTIS project lead: Mario Garcia-Sanz (ARPA-e) Onur Bilgen (Rutgers) 6th WESE Workshop August 31, 2022 Boulder, CO 2 • The next slides cover: • High-fidelity Multidisciplinary Design Optimization (MDO) of a wind turbine rotor using MACH • A combined-fidelity approach that couples WEIS with MACH for life-cycle sizing constraints • The future of high-fidelity MDO: MPhys Today’s takeaway: High-fidelity MDO is a feasible and effective approach to support wind turbine rotor design How to make high-fidelity MDO computationally efficient?

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mdpi.com article

Aerostructural Design Optimization of Wind Turbine Blades - MDPI

https://www.mdpi.com/2227-9717/12/1/22

For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal. The optimization framework integrates DAFoam as the computational fluid dynamics (CFD) solver, TACS as the finite element method (FEM) solver, Mphys for fluid–structure coupling, and SNOPT as the optimizer within the OpenMDAO framework. The design variables in this optimization process are the blade shape and panel thickness. The remainder of this paper starts with a literature review on the aerostructural optimization of wind turbine blades in Section 2, followed by the methodology on the aerodynamic optimization, structural optimization, and fluid–structural coupling processes of the aerostructural optimization in Section 3, and the main findings are presented and discussed in Section 4.

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