DocumentCode :
3155640
Title :
Comparing different boundary layer schemes of WRF by simulation the low-level wind over complex terrain
Author :
Wang, Chenghai ; Jin, Shuanglong ; Hu, Ju ; Zhang, Feimin ; Feng, Shuanglei ; Liu, Chun
Author_Institution :
Key Lab. for Semi-Arid Climate Change of Minist. of Educ., Lanzhou Univ., Lanzhou, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
6183
Lastpage :
6188
Abstract :
In this paper, in order to evaluate the simulation capabilities that between the four boundary layer (BL) parameterization schemes, we employ WRF model to simulate the low-level wind of a wind farm which with a complex terrain in Xinjiang for February 2008. The results show that, four BL schemes forecast predominant wind direction and the trend of wind speed accurately but these simulation results have the upper systematic bias. It is found that the accuracy of simulation stability is an important factor in wind speed prediction by studying the distribution features of wind speed simulation errors and simulation results of atmospheric stability. The spectral analysis of wind speed time series indicates that these BL schemes can simulate the wind speed oscillations accurately. In general, there are no pronounced differences between the four different BL schemes simulation results, however, the simulation results from the QNSE are the closest to observation. We conclude that the WRF outputs can be considered for wind power prediction in Xinjiang with arid climates, scarce vegetation and complex terrain of China.
Keywords :
boundary layers; spectral analysis; time series; wind power plants; WRF model; atmospheric stability; boundary layer parameterization schemes; complex terrain; low-level wind; simulation stability; spectral analysis; wind farm; wind speed oscillations; wind speed prediction; wind speed simulation errors; wind speed time series; Atmospheric modeling; Predictive models; Simulation; Wind forecasting; Wind power generation; Wind speed; BL parameterization scheme; WRF model; simulation; spectrum analysis; wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6009632
Filename :
6009632
Link To Document :
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