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Title: Optimum windmill-site matching

Journal Article · · IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States)
DOI:https://doi.org/10.1109/60.182649· OSTI ID:6775579
;  [1]
  1. Dept. of Electrical Engineering, Univ. of Massachusetts, Lowell, Lowell, MA (United States)

In this paper a methodology for the selection of the optimum windmill for a specific site is developed. The selection windmill for a specific site is developed. The selection is based on finding the capacity factors (CF) of the available windmills. This is done by using long term wind speed data recorded at different hours of the day for many years. This data is 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 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 to be recommended.

OSTI ID:
6775579
Journal Information:
IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States), Vol. 7:4; ISSN 0885-8969
Country of Publication:
United States
Language:
English

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