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On the design of potential turbine positions for physics-informed optimization of wind farm layout

文献类型：期刊论文

作者Wu, Chutian2,3; Yang, Xiaolei1,3; Zhu, Yaxin2
刊名RENEWABLE ENERGY
出版日期2021-02-01
卷号164页码:1108-1120
ISSN号0960-1481
关键词Wind farm layout optimization Physics-informed Potential turbine positions Jensen wake model Genetic algorithm
DOI10.1016/j.renene.2020.10.060
通讯作者Yang, Xiaolei(xyang@imech.ac.cn)
英文摘要Wind farm layout optimization is a critical step in the design of a wind energy project. In the literature, the potential turbine positions employed in the layout optimization are often obtained by discretizing the field using a Cartesian mesh. In this work, physical understanding is proposed to incorporate in the design of potential turbine positions. Specifically, the known knowledge, that a staggered arrangement is more efficient for extracting energy from wind than an aligned arrangement, is employed and implemented using the staggered mesh approach, the unstructured mesh approach and the sunflower mesh approach. Different mesh approaches are tested using two cases, i.e. case I, unidirectional uniform wind, and case II, uniform wind with variable wind direction. The optimal layout obtained from the staggered mesh approach performs the best for case I. For case II, the farm performance from different layouts is similar. The performance of the layouts under off-design conditions is also tested for case I. For all considered cases, the optimal layout obtained from the sunflower approach shows an overall good performance. (c) 2020 Elsevier Ltd. All rights reserved.
资助项目NSFC Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics[11988102]
WOS研究方向Science & Technology - Other Topics ; Energy & Fuels
语种英语
WOS记录号WOS:000595554900011
资助机构NSFC Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics
源URL[http://dspace.imech.ac.cn/handle/311007/85577]  
专题力学研究所_非线性力学国家重点实验室
通讯作者Yang, Xiaolei
作者单位1.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
2.Huazhong Univ Sci & Technol, Dept Mech, Wuhan 430074, Peoples R China
3.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Chutian,Yang, Xiaolei,Zhu, Yaxin. On the design of potential turbine positions for physics-informed optimization of wind farm layout[J]. RENEWABLE ENERGY,2021,164:1108-1120.
APA Wu, Chutian,Yang, Xiaolei,&Zhu, Yaxin.(2021).On the design of potential turbine positions for physics-informed optimization of wind farm layout.RENEWABLE ENERGY,164,1108-1120.
MLA Wu, Chutian,et al."On the design of potential turbine positions for physics-informed optimization of wind farm layout".RENEWABLE ENERGY 164(2021):1108-1120.

入库方式： OAI收割

来源：力学研究所

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