Numerical modelling for wind farm operational assessment in complex terrain

被引：40

作者：

Castellani, Francesco ^{[1
]}

Astolfi, Davide ^{[1
]}

Burlando, Massimiliano ^{[2
]}

Terzi, Ludovico ^{[3
]}

机构：

[1] Univ Perugia, Dept Engn, I-06125 Perugia, Italy

[2] Univ Genoa, Dept Civil Chem & Environm Engn, I-16145 Genoa, Italy

[3] Renvico Srl, I-20124 Milan, Italy

来源：

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS | 2015年 / 147卷

关键词：

Wind energy; Wind turbines; Supervisory control and data acquisition; Computational fluid dynamics; Mass-consistent model; Performance evaluation; TURBINE WAKES; PERFORMANCE; VALIDATION;

D O I：

10.1016/j.jweia.2015.07.016

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Wind farm operation in very complex terrains generally involves complicated and severe environment for wind turbines. Strong speedups, extreme wind veer and high turbulence create a harsh environment for turbine safety and durability. A detailed analysis of the wind field can be very useful in order to isolate the most dangerous conditions and prevent exceptional loads. In this study it is investigated to what extent numerical free flow model can give reliable information on the operational behaviour of wind farms. For this reason, two wind farms, having very different features, are selected: the former is sited on a-very gentle terrain and its dynamics is mainly driven by wake interactions, while the latter is instead sited on a very complex terrain. The wind field induced by the orography is calculated with two different numerical approaches, CFD (Computational Fluid Dynamics) and mass consistent modelling. Numerical results are compared and validated against experimental measurements from anemometer met-masts and from turbines SCADA (Supervisory Control And Data Acquisition) data sets. The analysis demonstrates that wind field models can give very useful information on rotor alignment patterns and on their influence on the overall park performance. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：320 / 329

页数：10

共 23 条

[1] An overview of data for wake model evaluation in the Virtual Wakes Laboratory
Barthelmie, R. J.
Pryor, S. C.
[J]. APPLIED ENERGY, 2013, 104 : 834 - 844
[2] Meteorological Controls on Wind Turbine Wakes
Barthelmie, Rebecca J.
Hansen, Kurt S.
Pryor, Sara C.
[J]. PROCEEDINGS OF THE IEEE, 2013, 101 (04) : 1010 - 1019
[3] Burlando M., 2005, P 4 EUR AFR C WIND E, P11
[4] Burlando M, 2007, BOUND-LAY METEOROL, V125, P417, DOI [10.1007/s10546-007-9196-3, 10.1007/S10546-007-9196-3]
[5] Castellani F., 2014, P 5 INT C DEV EN ENV
[6] Castellani F., 2005, AIAA ASME WIND EN S
[7] Analysing wind farm efficiency on complex terrains
Castellani, Francesco
Astolfi, Davide
Terzi, Ludovic
Hansen, Kurt Schaldemose
Rodrigo, Javier Sanz
[J]. SCIENCE OF MAKING TORQUE FROM WIND 2014 (TORQUE 2014), 2014, 524
[8] Fleming P., 2013, Tech. Rep. NREL/CP-5000-57175
[9] Evaluation of the wind direction uncertainty and its impact on wake modeling at the Horns Rev offshore wind farm
Gaumond, M.
Rethore, P. -E.
Ott, S.
Pena, A.
Bechmann, A.
Hansen, K. S.
[J]. WIND ENERGY, 2014, 17 (08) : 1169 - 1178
[10] The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns Rev wind farm
Hansen, Kurt S.
Barthelmie, Rebecca J.
Jensen, Leo E.
Sommer, Anders
[J]. WIND ENERGY, 2012, 15 (01) : 183 - 196

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