Wind power statistics and an evaluation of wind energy density

M. Jamil, S. Parsa and M. Majidi

Renewable Energy, 1995, vol. 6, issue 5, 623-628

Abstract: In this paper the statistical data of fifty days' wind speed measurements at the MERC-solar site are used to find out the wind energy density and other wind characteristics with the help of the Weibull probability distribution function. It is emphasized that the Weibull and Rayleigh probability functions are useful tools for wind energy density estimation but are not quite appropriate for properly fitting the actual wind data of low mean speed, short-time records. One has to use either the actual wind data (histogram) or look for a better fit by other models of the probability function.

Date: 1995
References: View complete reference list from CitEc
Citations: View citations in EconPapers (62)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/096014819500041H
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:6:y:1995:i:5:p:623-628

DOI: 10.1016/0960-1481(95)00041-H

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().