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  4. Evaluation of monthly capacity factor of WECS using chronological and probabilistic wind speed data: A case study of Taiwan
 
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Evaluation of monthly capacity factor of WECS using chronological and probabilistic wind speed data: A case study of Taiwan

Resource
Renewable Energy 32 (12): 1999-2010
Journal
Renewable Energy
Pages
1999-2010
Date Issued
2007
Date
2007
Author(s)
Chang, Tsang-Jung  
Tu, Yi-Long
DOI
10.1016/j.renene.2006.10.010
URI
http://ntur.lib.ntu.edu.tw//handle/246246/176370
Abstract
Monthly energy outputs and capacity factors of an existing median-scale wind power station located in Mailiao, Taiwan, have been analyzed by using the measured half-hourly wind speed data over a period spanned between 2002 and 2005. The wind speed data in the chronological (time-series) format and probabilistic (Weibull) format are used to estimate the monthly capacity factors of Vestas V47-660 KW turbines in Mailiao. The monthly capacity factors calculated from the chronological and probabilistic approaches are compared with and validated by the measured capacity factors obtained in Mailiao. In addition, due to the climatic features of the Asia monsoon, there are two prominent wind periods within a year in Taiwan, i.e., the strong (October-March) and weak (April-September) wind periods. This study also investigates the differences of the measured and calculated capacity factors in the strong and weak wind periods of Mailiao. It is shown that the capacity factors calculated from the time-series approach have better agreement with the actual capacity factors than the Weibull approach. Both approaches have slightly underestimated the capacity factors in the strong wind period, but have significantly overestimated the capacity factors in the weak wind period. © 2006 Elsevier Ltd. All rights reserved.
Subjects
Monthly capacity factor; Taiwan; Time-series wind speed; Weibull wind speed
SDGs

[SDGs]SDG7

Other Subjects
Computation theory; Probability; Velocity measurement; Weibull distribution; Wind power; Monthly capacity factor; Time-series wind speed; Weibull wind speed; Electric power generation; Computation theory; Electric power generation; Probability; Velocity measurement; Weibull distribution; Wind power; data set; power plant; renewable resource; Weibull theory; wind power; wind velocity; Asia; Eurasia; Far East; Mailiao; Taiwan
Type
journal article
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