CFD wind turbines wake assessment in complex topography
被引:45
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作者:
Nedjari, Hafida Daaou
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机构:
Ctr Dev Energies Renouvelables, CDER BP 62,Route Observat, Algiers 16340, Algeria
USTHB, Fac Phys, Thermodynam & Energet Syst Lab, BP 32 El Alia, Bab Ezzouar Algiers 16111, AlgeriaCtr Dev Energies Renouvelables, CDER BP 62,Route Observat, Algiers 16340, Algeria
Nedjari, Hafida Daaou
[1
,2
]
Guerri, Ouahiba
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机构:
Ctr Dev Energies Renouvelables, CDER BP 62,Route Observat, Algiers 16340, AlgeriaCtr Dev Energies Renouvelables, CDER BP 62,Route Observat, Algiers 16340, Algeria
Guerri, Ouahiba
[1
]
Saighi, Mohamed
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机构:
USTHB, Fac Phys, Thermodynam & Energet Syst Lab, BP 32 El Alia, Bab Ezzouar Algiers 16111, AlgeriaCtr Dev Energies Renouvelables, CDER BP 62,Route Observat, Algiers 16340, Algeria
Saighi, Mohamed
[2
]
机构:
[1] Ctr Dev Energies Renouvelables, CDER BP 62,Route Observat, Algiers 16340, Algeria
[2] USTHB, Fac Phys, Thermodynam & Energet Syst Lab, BP 32 El Alia, Bab Ezzouar Algiers 16111, Algeria
The purpose of this work is to numerically study the wind turbine wake evolution in farm over both complex and flat terrain. The nonlinear, aerodynamic interaction between the rotor wake and the wind farm terrain is modeled using the Hybrid method combining CFD (Computational Fluid dynamics) with the actuator disk model. The rotor defined as a function of the wind speed and the thrust coefficient is applied through a source term added in Navier-Stokes equations within (RANS) decomposition. The framework is structured and resolved via an Open Source Computational fluid dynamics program based on the finite volume method. The interactions between atmospheric upwind boundary layer, downwind wake and ground effects are evaluated considering different wind farm configurations: First, simulations are conducted for flat terrain by varying the wind turbine hub height. The soil effects on the wake evolution are estimated by means of the size length of the eddy areas of low speed recorded behind the rotor. In the second configuration concerning the complex terrain, the proposed hybrid method is adapted to the local wind field significantly disturbed by the topography singularities. The flow field obtained at the hub level is then analyzed and used to define the corresponding actuator disk model. This approach is applied to a small region located in north of Algeria. However, the accuracy and performance of the proposed model to predict the near wake and the far wake are demonstrated by a comparison with wake measurement over flat terrain and are in good agreement with experimental data. Results obtained in all cases gives interesting information involved in wind farm layout. (C) 2017 Elsevier Ltd. All rights reserved.
机构:
Inst Tecnol Aeronaut, Div Aeronaut Engn, BR-1222890 Sao Jose Dos Campos, SP, BrazilInst Tecnol Aeronaut, Div Aeronaut Engn, BR-1222890 Sao Jose Dos Campos, SP, Brazil
Garcia-Ribeiro, Daniel
Malatesta, Vinicius
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Inst Tecnol Aeronaut, Div Aeronaut Engn, BR-1222890 Sao Jose Dos Campos, SP, BrazilInst Tecnol Aeronaut, Div Aeronaut Engn, BR-1222890 Sao Jose Dos Campos, SP, Brazil
Malatesta, Vinicius
Moura, Rodrigo C.
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Inst Tecnol Aeronaut, Div Aeronaut Engn, BR-1222890 Sao Jose Dos Campos, SP, BrazilInst Tecnol Aeronaut, Div Aeronaut Engn, BR-1222890 Sao Jose Dos Campos, SP, Brazil
Moura, Rodrigo C.
Ceron-Munoz, Hernan D.
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机构:
Univ Sao Paulo, Dept Aeronaut Engn, BR-13566590 Sao Carlos, SP, BrazilInst Tecnol Aeronaut, Div Aeronaut Engn, BR-1222890 Sao Jose Dos Campos, SP, Brazil
机构:
Northeast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Zhang, Lidong
Feng, Zhengcong
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机构:
Northeast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Feng, Zhengcong
Song, Changpeng
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机构:
Northeast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Song, Changpeng
Tian, Wenxin
论文数: 0引用数: 0
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机构:
Natl Environm Protect Res Inst Elect Power Co Ltd, State Environm Protect Key Lab Atmospher Phys Mode, Nanjing 210031, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Tian, Wenxin
Hu, Tianyu
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机构:
UNIV MANCHESTER, Sch Engn, MANCHESTER M13 9PL, EnglandNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Hu, Tianyu
Guo, Yuanjun
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机构:
Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518172, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Guo, Yuanjun
Yang, Zhile
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机构:
Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518172, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Yang, Zhile
Zhao, Xiuyong
论文数: 0引用数: 0
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机构:
Natl Environm Protect Res Inst Elect Power Co Ltd, State Environm Protect Key Lab Atmospher Phys Mode, Nanjing 210031, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Zhao, Xiuyong
Feng, Jiangzhe
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机构:
Longyuan Beijing New Energy Engn Technol Co Ltd, Beijing 100032, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Feng, Jiangzhe
Ren, Huaihui
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机构:
Longyuan Beijing New Energy Engn Technol Co Ltd, Beijing 100032, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Ren, Huaihui
Wang, Qiaozi
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机构:
Longyuan Beijing New Energy Engn Technol Co Ltd, Beijing 100032, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
Wang, Qiaozi
Zhang, Duanmei
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h-index: 0
机构:
Changchun Inst Technol, Coll Jilin Emergency Management, Changchun 130021, Peoples R ChinaNortheast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
机构:
North China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
North China Elect Power Univ, Hebei Key Lab Low Carbon & High Efficiency Power G, Baoding 071003, Hebei, Peoples R China
North China Elect Power Univ, Baoding Key Lab Low Carbon & High Efficiency Power, Baoding 071003, Hebei, Peoples R ChinaNorth China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
Gao, Xiaoxia
Zhou, Kuncheng
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机构:
North China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R ChinaNorth China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
Zhou, Kuncheng
Liu, Runze
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机构:
North China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R ChinaNorth China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
Liu, Runze
Ma, Wanli
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机构:
North China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R ChinaNorth China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
Ma, Wanli
Gong, Xiaoyu
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机构:
North China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R ChinaNorth China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
Gong, Xiaoyu
Zhu, Xiaoxun
论文数: 0引用数: 0
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机构:
North China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
North China Elect Power Univ, Hebei Key Lab Low Carbon & High Efficiency Power G, Baoding 071003, Hebei, Peoples R China
North China Elect Power Univ, Baoding Key Lab Low Carbon & High Efficiency Power, Baoding 071003, Hebei, Peoples R ChinaNorth China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
Zhu, Xiaoxun
Wang, Yu
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机构:
North China Elect Power Univ Baoding, Sch Elect & Elect Engn, Baoding, Peoples R ChinaNorth China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
Wang, Yu
Zhao, Fei
论文数: 0引用数: 0
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机构:
North China Elect Power Univ Baoding, Sch Elect & Elect Engn, Baoding, Peoples R ChinaNorth China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China