DocumentCode :
729853
Title :
Wind turbine optimal site matching based on capacity and availability factors
Author :
Ghajar, R. ; Chedid, R. ; Badawieh, M.
Author_Institution :
Lebanese American Univ., Byblos, Lebanon
fYear :
2015
fDate :
16-18 June 2015
Firstpage :
253
Lastpage :
257
Abstract :
This paper introduces a simple method to enable the selection of the most appropriate wind turbine for given sites in which the values of the Weibull shape parameter k and scale parameter c are known. T he matching between site and turbine characteristics can be optimized by defining two important parameters: The capacity factor Cf, and the availability factor Af. Published wind data of 10 sites are used to perform site matching with a variety of commercially available wind turbine generators by evaluating the capacity factor, availability factor and annual energy output. T his study argues that the incorporation of the availability factor in the turbine-site matching process will have an added value in terms of lowering the overall electric energy production cost of the system due to the fact that although the energy required by system peaking units will remain the same, the number of start-ups and shutdown may be reduced.
Keywords :
Weibull distribution; power generation economics; turbogenerators; wind turbines; Weibull scale parameter; Weibull shape parameter; availability factor; capacity factor; electric energy production cost; wind turbine generator; wind turbine optimal site matching; Decision support systems; Hafnium; Indexes; Renewable energy sources; Wind turbines; Availability Factor; Capacity Factor; Optimal Matching; Wind Energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Clean Electrical Power (ICCEP), 2015 International Conference on
Conference_Location :
Taormina
Type :
conf
DOI :
10.1109/ICCEP.2015.7177632
Filename :
7177632
Link To Document :
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