DocumentCode :
2632295
Title :
Estimation of wind turbine and solar photovoltaic energy using variant sampling intervals
Author :
Abbes, Dhaker ; Martinez, Andre ; Champenois, Gerard ; Aubert, Jean Paul ; Kadri, Riad
Author_Institution :
EIGSI, La Rochelle, France
fYear :
2010
fDate :
6-8 Sept. 2010
Abstract :
In this paper, we estimate renewable energy from wind and solar for different sites. Two methods are applied in case of wind energy: Weibull distribution and direct integration methodology. In additional, influence of the data sampling interval is studied. Results show that the computational method based on the integration of the power is more accurate. Also, it is shown that the hourly time resolution provides satisfactory accuracy in wind and solar resource estimation, in comparison with one minute´s resolution. Results allow better design for hybrid systems (wind and photovoltaic energy). Moreover, Data acquisitions are minimized. A shorter time of treatment and less expensive measurement equipments are required.
Keywords :
Weibull distribution; photovoltaic power systems; solar power stations; wind turbines; Weibull distribution; renewable energy; solar photovoltaic energy; variant sampling intervals; wind turbine estimation; Energy capture; Estimation; Photovoltaic systems; Weibull distribution; Wind energy; Wind speed; Computational method; Data sampling interval; Energy estimation; Weibull distribution; Wind and photovoltaic power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Motion Control Conference (EPE/PEMC), 2010 14th International
Conference_Location :
Ohrid
Print_ISBN :
978-1-4244-7856-9
Type :
conf
DOI :
10.1109/EPEPEMC.2010.5606826
Filename :
5606826
Link To Document :
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