DocumentCode :
829621
Title :
Optimum windmill-site matching
Author :
Salameh, Ziyad M. ; Safari, Lrianto
Author_Institution :
Dept. of Electr. Eng., Massachusetts Univ., Lowell, MA, USA
Volume :
7
Issue :
4
fYear :
1992
fDate :
12/1/1992 12:00:00 AM
Firstpage :
669
Lastpage :
676
Abstract :
A methodology for the selection of the optimum windmill for a specific site is developed. The selection is based on finding the capacity factors of the available windmills. This is done by using long-term wind speed data recorded at different hours of the day for many years. These data are then used to generate mean wind speeds for a typical day in a month. Probability density functions for the mean wind speeds for the different hours of the day are generated with the manufacturer´s specifications on the windmills used to calculate the capacity factors for the windmills. The windmill with the highest average capacity factor for the specific site is the optimum one and should be recommended
Keywords :
optimisation; probability; wind power; wind power plants; capacity factors; optimisation; probability density functions; site matching; wind power plants; wind speed; windmill; Energy measurement; Petroleum; Power generation; Probability density function; Production; Statistical analysis; Wind energy; Wind energy generation; Wind speed; Wind turbines;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/60.182649
Filename :
182649
Link To Document :
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