Publication

Wind energy conversion system. Review and Investigation of Wind Energy Conversion Systems and their Selection for Optimum Design

Subhi, Ahmed M.
Publication Date
End of Embargo
Supervisor
Day, Andrew J.
Jerwood, David
Keywords
Wind energy, Wind energy conversion systems, Optimum design, Extractable wind energy, Wind turbines, Wind turbine performance prediction
Rights
Creative Commons License
The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
Open Access status
Accepted for publication
Institution
University of Bradford
Department
Department of Mechanical and Medical Engineering
Awarded
2002
Embargo end date
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PhD Thesis
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Abstract
This thesis presents various methods for assessing wind energy resources which have realistic potential for converting into electricity, and proposes a procedure for system selection. This approach uses climatological features and wind turbine rotor design together with comprehensive analyses, which have been partly adapted from published work, to evaluate the extractable wind energy at any location. The results of the analyses are then used to determine the principal wind machine design parameters and specifications. Wind energy has long been studied as one possible commercially viable alternative energy source to fossil fuels. The selection of an appropriate wind turbine for a particular site and location is important, not only from the point of view of technical design but also for economic reasons. A database from 18 meteorological stations has formed the basis for the analysis: wind speed and wind direction. Cumulative frequency diagrams of monthly and yearly patterns of wind speeds have been constructed; Weibull probability models have been fitted and the validity of such models has been tested. Using calculated wind turbine rotor energy capture coefficients in conjunction with various rotor configurations, hub heights and different terrain roughnesses, a method is presented by which the wind power potential of a given site can be estimated and wind turbine performance at that site can be predicted.
URI
https://bradscholars.brad.ac.uk/handle/10454/20574
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Type
Thesis
Qualification name
PhD
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