MICRO SITE SELECTION OF OFFSHORE WIND FARMS BASED ON REFINED SUPERIMPOSED WAKE MODEL

Huang Lingling; Chen Hao; Liu Yang

doi:10.19912/j.0254-0096.tynxb.2023-2093

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (4) : 477-484. DOI: 10.19912/j.0254-0096.tynxb.2023-2093

MICRO SITE SELECTION OF OFFSHORE WIND FARMS BASED ON REFINED SUPERIMPOSED WAKE MODEL

Huang Lingling¹, Chen Hao², Liu Yang¹

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Abstract

The conventional analytical model of the wake superposition can not calculate accurately the wind speed losses between the wind turbines while the high-precision CFD simulation takes a long computation time. They are both not quite suitable for the micro site selection for the wind turbines. In this paper, an improved wake superposition model based on the laws of conservation of mass and momentum is proposed and its superiorities of the computing precision and efficiency are verified by comparing with the simulation results of FAST.Farm. Moreover, a micro-site selection optimization model aiming at minimizing the life-cycle cost is also presented and the solution is obtained by the adaptive tunicate swarm algorithm. The effectiveness and superiority of the proposed algorithm is demonstrated by a case study of an offshore wind farm.

Key words

offshore wind farm / wakes / micro-siting selection / FAST.Farm simulation / tunicate swarm algorithm

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Huang Lingling, Chen Hao, Liu Yang. MICRO SITE SELECTION OF OFFSHORE WIND FARMS BASED ON REFINED SUPERIMPOSED WAKE MODEL[J]. Acta Energiae Solaris Sinica. 2025, 46(4): 477-484 https://doi.org/10.19912/j.0254-0096.tynxb.2023-2093

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