A Review of An Optimal Large-Scale Offshore Wind Turbine Farm Layout Techniques

S. A.  Onazi, P. U. Okorie, A. S. Abubakar

Abstract

The growth of every nation, be it social or economic development, depends largely on its energy sector. Renewable energy sources such as solar, wind, tidal, geothermal, biogas, etc. are growing significantly faster as an alternative source to conventional sources and are playing a vital role in society. The availability of offshore wind energy will promote substantial growth in wind turbine energy (WTE) for society and strengthen technologies. This paper investigates the use of optimization algorithms for siting wind farm energy (WFE). 6 (six) optimization techniques were reviewed and presented. So, it becomes pertinent to optimally place (WTE) in a large-scale offshore WF by formulating the necessary objective function consisting of wake effect and component costs with WF layout. This study presents a WF model that makes use of the arithmetic optimization algorithm (AOA) techniques to optimally place wind turbines in WFs and compares them to the other techniques.

Keywords: wind turbine, farm layout, wake effect, SAO, AOA, GA, PSO, artificial fish swarm algorithm

How to cite this article: S. A.  Onazi, P. U. Okorie, A. S. Abubakar, A Review of An Optimal Large-Scale Offshore Wind Turbine Farm Layout Techniques, Journal of Materials Engineering, Structures and Computation. 1(1) 2022 pp. 21-39

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