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Innovative Wind Turbine Selection Method using Modified Weibull Probability Function | OMICS International | Abstract
ISSN: 2168-9717

Journal of Architectural Engineering Technology
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Research Article

Innovative Wind Turbine Selection Method using Modified Weibull Probability Function

Hammad M1* and Batarseh L2

1Professor in Mechanical Engineering, University of Jordan, Jordan

2Lecturer, University of Philadelphia, Philadelphia, PA 19144, USA

*Corresponding Author:
Hammad M
Professor in Mechanical Engineering
University of Jordan, Jordan
Tel: + 962 7 77421354
E-mail: [email protected]

Received Date: March 23, 2015 Accepted Date: April 30, 2015 Published Date: May 10, 2015

Citation: Hammad M, Batarseh L (2015) Innovative Wind Turbine Selection Method using Modified Weibull Probability Function. J Archit Eng Tech 4:139. doi:10.4172/2168-9717.1000139

Copyright: © 2015 Hammad M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In this work, a three-year wind data for some sites in Jordan was analyzed. Two sites showed highly promising potential. Both predicted more than 1.0 MWh/m2.y.

This work modified the probability function of Weibull – Hiester and Pennel to produce more accurate potential speed values for the wind. Results showed that this modification enhanced energy potential by 30%.

The interaction of wind turbine performance data with site wind data was then discussed. The yearly output energy of different machines was the objective function for an optimization process with rating velocity (Vr) as the main variable. The resulted optimum energy was found to depend on the two variables of the Wiebull function. Optimum Vr was found to range from 4.2 to 5.6 for the sites considered.

The optimum Vr can be used as a selection parameter for the best suitable turbine.

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