Offshore wind turbines are mega structures that span a critical section of the lowest part of atmospheric boundary layer while experiencing significant wind shear. A detailed knowledge of the wind field through a wind farm as part of the atmospheric boundary layer is essential to design efficient farm layouts and estimate power production for grid integration. To address these needs, we present a micro-scale wind prediction model based on a large-eddy simulation paradigm. We consider actuator disk models with and without rotation to simulate the influence of turbines on the wind field and apply our computational capability to the well-known Horns Rev offshore wind farm in Denmark to estimate power production. Instead of using manufacturers power curve to estimate power production, we propose an alternative approach based on the control volume analysis of kinetic energy conservation around turbines.
机构:
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai,200092, China
Department of Civil and Environmental Engineering, The University of Western Ontario, London,N6A 5B9, CanadaState Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai,200092, China
Zhang, Ziyu
Huang, Peng
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机构:
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai,200092, ChinaState Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai,200092, China
Huang, Peng
Cao, Shuyang
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机构:
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai,200092, ChinaState Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai,200092, China
Cao, Shuyang
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences,
2024,
51
(09):
: 111
-
121
机构:
Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
Li, Yunliang
Li, Zhaobin
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机构:
Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
Li, Zhaobin
Zhou, Zhideng
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机构:
Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
Zhou, Zhideng
Yang, Xiaolei
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机构:
Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China