TY - GEN
T1 - An on-site measurement coupled CFD based approach for wind resource assessment over complex terrains
AU - Tang, Xiao Yu
AU - Stoevesandt, Bernhard
AU - Fan, Bo
AU - Li, Siliang
AU - Yang, Qinmin
AU - Tayjasanant, Thavatchai
AU - Sun, Youxian
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/10
Y1 - 2018/7/10
N2 - Wind resource assessment, especially for regions with complex terrain, is one of the most essential topics for wind energy development. In this paper, a novel method based on on-site measurement coupled to computational fluid dynamics (CFD) simulations is proposed to reproduce the spatial variability of wind speed distribution over the region with complex terrain. The on-site measurement data of wind speeds are adopted in the data fusion for wind speed distribution estimation and reproduction, combined with the simulation results of CFD. Next, a case study on wind resource assessment for a wind farm in complex terrain, located in Hebei Province, China was done. One year wind measurements with anemometers on three different sites were performed adopting the proposed approach. A cross-validation of the results of the proposed method against on-site wind speed measurement data indicates a good agreement. The results show that the approach proposed have reproduced a wind resource map with high resolution and the wind speed estimations for one spot within the wind farm are with a root-mean-square error of 0.399 m/s, which is qualified for wind farm planning in complex terrain.
AB - Wind resource assessment, especially for regions with complex terrain, is one of the most essential topics for wind energy development. In this paper, a novel method based on on-site measurement coupled to computational fluid dynamics (CFD) simulations is proposed to reproduce the spatial variability of wind speed distribution over the region with complex terrain. The on-site measurement data of wind speeds are adopted in the data fusion for wind speed distribution estimation and reproduction, combined with the simulation results of CFD. Next, a case study on wind resource assessment for a wind farm in complex terrain, located in Hebei Province, China was done. One year wind measurements with anemometers on three different sites were performed adopting the proposed approach. A cross-validation of the results of the proposed method against on-site wind speed measurement data indicates a good agreement. The results show that the approach proposed have reproduced a wind resource map with high resolution and the wind speed estimations for one spot within the wind farm are with a root-mean-square error of 0.399 m/s, which is qualified for wind farm planning in complex terrain.
KW - Computational fluid dynamics (CFD)
KW - complex terrain
KW - on-site measurement validation
KW - wind energy
KW - wind resource assessment
UR - https://www.scopus.com/pages/publications/85050741219
U2 - 10.1109/I2MTC.2018.8409651
DO - 10.1109/I2MTC.2018.8409651
M3 - 会议稿件
AN - SCOPUS:85050741219
T3 - I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings
SP - 1
EP - 6
BT - I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018
Y2 - 14 May 2018 through 17 May 2018
ER -