Estimation of wind turbine and solar photovoltaic energy using variant sampling intervals

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.