NREL Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications

NREL Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications

AUTHORS:
Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi, Alessandro Franco, Mauro Tucci, Fabrizio Bizzarri and Debora Mucci.
ABSTRACT:
The ability to accurately forecast power generation from renewable sources is nowadays recognized as a fundamental skill to improve the operation of power systems. Despite the general interest of the power community in this topic, it is not always simple to compare different forecasting methodologies, and infer the impact of single components in providing accurate predictions. In this paper, we extensively compare simple forecasting methodologies with more sophisticated ones over 32 photovoltaic (PV) plants of different sizes and technology over a whole year. Also, we try to evaluate the impact of weather conditions and weather forecasts on the prediction of PV power generation.

i-EM contributed to the solar forecasting chapter of NREL report

i-EM contributed to the solar forecasting chapter of NREL report

Reading Time: < 1 minute i-EM contributed to the solar forecasting chapter of NREL report The Photovoltaic Power System (PVPS) Programme of the International Energy Agency (IEA) has recently focused on the “Solar Resource for High Penetration and Large Scale...