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State of the Art in the Optimisation of Wind Turbine Performance Using CFD

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Abstract

Wind energy has received increasing attention in recent years due to its sustainability and geographically wide availability. The efficiency of wind energy utilisation highly depends on the performance of wind turbines, which convert the kinetic energy in wind into electrical energy. In order to optimise wind turbine performance and reduce the cost of next-generation wind turbines, it is crucial to have a view of the state of the art in the key aspects on the performance optimisation of wind turbines using Computational Fluid Dynamics (CFD), which has attracted enormous interest in the development of next-generation wind turbines in recent years. This paper presents a comprehensive review of the state-of-the-art progress on optimisation of wind turbine performance using CFD, reviewing the objective functions to judge the performance of wind turbine, CFD approaches applied in the simulation of wind turbines and optimisation algorithms for wind turbine performance. This paper has been written for both researchers new to this research area by summarising underlying theory whilst presenting a comprehensive review on the up-to-date studies, and experts in the field of study by collecting a comprehensive list of related references where the details of computational methods that have been employed lately can be obtained.

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, Shiraz University of Technology, Modarres Boulevard, Shiraz, 13876-71557, Iran

    Alireza Shourangiz-Haghighi

  2. Department of Mechanical and Materials Engineering, Queen’s University, Kingston, ON, K7L 3N6, Canada

    Mohammad Amin Haghnegahdar

  3. School of Mechanical, Aerospace and Automotive Engineering, Coventry University, Coventry, CV1 5FB, UK

    Lin Wang

  4. Dipartimento di Energia, Politecnico di Milano, Via La Masa 34, 20156, Milano, Italy

    Marco Mussetta

  5. Centre for Offshore Renewable Energy Engineering School of Water, Energy and Environment, Cranfield University, Cranfield, MK43 0AL, UK

    Athanasios Kolios & Martin Lander

  6. Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, Henry Dyer Building, 100 Montrose Street, Glasgow, G4 0LZ, UK

    Athanasios Kolios

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  1. Alireza Shourangiz-Haghighi
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Shourangiz-Haghighi, A., Haghnegahdar, M.A., Wang, L. et al. State of the Art in the Optimisation of Wind Turbine Performance Using CFD. Arch Computat Methods Eng 27, 413–431 (2020). https://doi.org/10.1007/s11831-019-09316-0

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