State of the art in the optimisation of wind turbine performance using CFD

Alireza Shourangiz-Haghighi, Mohammad Amin Haghnegahdar, Lin Wang, Marco Mussetta, Athanasios Kolios, Martin Lander

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)413–431
Number of pages19
JournalArchives of Computational Methods in Engineering
Early online date14 Jan 2019
Publication statusPublished - Apr 2020


  • wind energy
  • wind turbine
  • Computational Fluid Dynamics (CFD)


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