DocumentCode :
690728
Title :
Offshore wind resouce assessment based on WRF model
Author :
Yang Ping ; Zou Shu ; Chen Nan ; Xu Zhirong
Author_Institution :
Nat.-Local Joint Eng. Lab. for Wind Power Control & Integration Technol., Guangzhou, China
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
1
Lastpage :
7
Abstract :
In order to avoid investment risks of offshore wind farms, offshore wind resources is necessary to conduct a detailed assessment. At the current lack of offshore wind resource assessment data and formulas in the sea applicability is not clear, this paper discusses a numerical weather WRF model for offshore wind resource assessment methodology. The assessment summarized here consists of three steps:(1)through the WRF data get wind speed sequence and wind speed probability distribution, (2) through the measured data get from the wind tower correct formula used for onshore wind resource assessment, then extrapolated to sea, (3)a detailed assessment include the wind power density and annual generation capacity. In this paper, a practical example with the use of new methods and evaluation methods based on wind tower data were compared and found that the results of the evaluation are given no significant difference. Finally, the conclusion are: In the absence of measured data in the case, based on the WRF model for offshore wind resources can be effectively evaluated.
Keywords :
extrapolation; offshore installations; poles and towers; probability; wind power plants; annual generation capacity; extrapolation; investment risk avoidance; numerical weather WRF model; offshore wind farm; offshore wind resource assessment data; onshore wind resource assessment; wind power density; wind speed probability distribution; wind speed sequence; wind tower correct formula; Poles and towers; Sea measurements; Wind farms; Wind forecasting; Wind power generation; Wind speed; Offshore wind resource assessment; WRF model; numerical weather prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
Type :
conf
DOI :
10.1109/APPEEC.2013.6837231
Filename :
6837231
Link To Document :
بازگشت