Variable-fidelity shape optimization of dual-rotor wind turbines
ISSN: 0264-4401
Article publication date: 17 October 2018
Issue publication date: 25 October 2018
Abstract
Purpose
Dual-rotor wind turbines (DRWTs) are a novel type of wind turbines that can capture more power than their single-rotor counterparts. Because their surrounding flow fields are complex, evaluating a DRWT design requires accurate predictive simulations, which incur high computational costs. Currently, there does not exist a design optimization framework for DRWTs. Since the design optimization of DRWTs requires numerous model evaluations, the purpose of this paper is to identify computationally efficient design approaches.
Design/methodology/approach
Several algorithms are compared for the design optimization of DRWTs. The algorithms vary widely in approaches and include a direct derivative-free method, as well as three surrogate-based optimization methods, two approximation-based approaches and one variable-fidelity approach with coarse discretization low-fidelity models.
Findings
The proposed variable-fidelity method required significantly lower computational cost than the derivative-free and approximation-based methods. Large computational savings come from using the time-consuming high-fidelity simulations sparingly and performing the majority of the design space search using the fast variable-fidelity models.
Originality/value
Due the complex simulations and the large number of designable parameters, the design of DRWTs require the use of numerical optimization algorithms. This work presents a novel and efficient design optimization framework for DRWTs using computationally intensive simulations and variable-fidelity optimization techniques.
Keywords
Citation
Thelen, A., Leifsson, L., Sharma, A. and Koziel, S. (2018), "Variable-fidelity shape optimization of dual-rotor wind turbines", Engineering Computations, Vol. 35 No. 7, pp. 2514-2542. https://doi.org/10.1108/EC-12-2017-0502
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited