Solar radiation is a very complex input parameter to address several climatic, meteorological, and solar energy issues. In this preliminary study we compared the hourly solar power production using MSG SEVIRI (Meteosat Second Generation Spinning Enhanced Visible and Infrared) data products DSSF (Down-welling Surface Short-wave Flux), developed by LSA SAF( Land Surface Analysis Satellite Application Facility), and two weather forecast output models and PV-Plant measurements with Nominal Power Peak of 19,85 kWp. The PV Plant is situated at a coastal site in Calabrian region, RICADI (VV) (38,63 LAT, 15,85 LON). Solar radiation datasets are obtained from a satellite based product DSSF with spatial resolution of 3km and outputs of two weather forecast models. WRF (Weather Research and Forecasting) and Rams (Regional Atmospheric Modeling System) are the adopted model running operatively with a 3Km horizontal resolution. Both DSSF and model outputs are extracted at Latitude and Longitude previously defined. We estimate production, and its curve, by using input solar radiation of Satellite data, with the same characteristic of the PV-plant, and the solar radiation predicted of two forecast models. The RMSE and BIAS for hourly averaged solar electrical reproducibility are estimated including clear and sky conditions and snow or ice cover. Comparison between energy reproducibility by using DSSF product, output of two weather forecast model and PV plant measurements, made over the period October 2013-June 2014, showed a good agreement in this costal site and we demonstrated that the forecast models generally overestimate solar radiation, and so, overestimate the electrical reproducibility from a PV-plant.
Comparison of the solar power production from different methodologies at a coastal Mediterranean site.
T Lo Feudo;D Gullì;
2015
Abstract
Solar radiation is a very complex input parameter to address several climatic, meteorological, and solar energy issues. In this preliminary study we compared the hourly solar power production using MSG SEVIRI (Meteosat Second Generation Spinning Enhanced Visible and Infrared) data products DSSF (Down-welling Surface Short-wave Flux), developed by LSA SAF( Land Surface Analysis Satellite Application Facility), and two weather forecast output models and PV-Plant measurements with Nominal Power Peak of 19,85 kWp. The PV Plant is situated at a coastal site in Calabrian region, RICADI (VV) (38,63 LAT, 15,85 LON). Solar radiation datasets are obtained from a satellite based product DSSF with spatial resolution of 3km and outputs of two weather forecast models. WRF (Weather Research and Forecasting) and Rams (Regional Atmospheric Modeling System) are the adopted model running operatively with a 3Km horizontal resolution. Both DSSF and model outputs are extracted at Latitude and Longitude previously defined. We estimate production, and its curve, by using input solar radiation of Satellite data, with the same characteristic of the PV-plant, and the solar radiation predicted of two forecast models. The RMSE and BIAS for hourly averaged solar electrical reproducibility are estimated including clear and sky conditions and snow or ice cover. Comparison between energy reproducibility by using DSSF product, output of two weather forecast model and PV plant measurements, made over the period October 2013-June 2014, showed a good agreement in this costal site and we demonstrated that the forecast models generally overestimate solar radiation, and so, overestimate the electrical reproducibility from a PV-plant.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
