DocumentCode :
3160599
Title :
Study on the wind energy resources assessment in wind power generation
Author :
Dai Ting ; Song Bin ; Shu Sheng-wen
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
6804
Lastpage :
6807
Abstract :
The wind energy resources assessment refers to a way to confirm the possibility of establishing a wind electric field based on the observation data on wind speed and direction through wind test station, as well as the data analysis and process for related data got from the local meteorological office long-range observation. At present, there has no universal wind energy analytic software for wind electric field in the domestic market, either few correlated software exist in the global market. And the RisoWASP (Wind Atlas Analysis and Application Program) developed by Denmark Laboratory is a common use for wind energy resources assessment. This article analyzed both the advantages and disadvantages of the RisoWASP software and some powerful software in china, and together with the comprehensive reference to the advantages of other assessment software, it concluded with a relative completed assessment for wind energy resources. In addition, with a view to such characteristics as a large data process and graphic making work in the wind energy resources assessment, this article put forward a concept to develop a new wind energy resources assessment software based on both the VB and ORACLE, which results from the wind energy resources analysis according to such integrated advantages as friendly interface of VB development software, strong diagram service and data.
Keywords :
data analysis; electric fields; globalisation; power engineering computing; power markets; wind power; wind power plants; ORACLE; VB development software; data analysis; domestic market; global market; wind electric field; wind energy resources assessment; wind power generation; wind test station; Electric fields; Electricity; Software; Wind energy; Wind power generation; Wind speed; parameter calculation; wind energy resources assessment; wind-driven power generation;
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.2011.6009905
Filename :
6009905
Link To Document :
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