期刊
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
卷 60, 期 -, 页码 752-769出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2016.01.113
关键词
Wind turbine; Wake modelling; Wake models benchmark
资金
- International Collaborative Energy Technology R&D Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) from the Ministry of Trade, Industry & Energy, Republic of Korea [20138520021140]
Wind turbine wakes are one of the most important aspects in wind power meteorology because they decrease the power production and increase the loading of downstream wind turbines. Therefore, there is a continuous need to find a 'good' wake model to properly plan wind power plant-level control strategies, predict the performance and understand the fatigue loads of turbines. In this paper, six widely used approaches of wake modelling (Jensen, Larsen, Dynamic Wake Meandering, Fuga and, Ellipsys3D LES and RANS together with their interpretations) that were developed at Technical University of Denmark, are described and the model subcomponents are analysed. The models are evaluated using data from the Sexbierum (onshore) and the Lillgrund (offshore) wind farms to understand how to best utilize them. The paper provides a comprehensive conceptual background to wake modelling combined with the overview of the state-of-the-art models including their implementations on operating wind farms. (C) 2016 The Authors. Published by Elsevier Ltd.
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