Accurate solar irradiance data at ground level are of particular importance for the solar resource assessments, many applications in the energy industry, sustainable urban planning and building design. The renewable solar energy wide-scale integration needs accurate knowledge of time and space resource fluctuation. These fluctuations depend on atmospheric conditions, such as aerosol and cloud presence, and water vapour amount. In order to improve the assessment of solar resource in these complex conditions an Advanced Model for Estimation of Surface solar Irradiance from Satellite (AMESIS) has been developed. It has been designed to estimate the incident solar radiation at surface from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) measurements aboard the geostationary Meteorological Second Generation (MSG) satellite. The new generation of sensors, such as SEVIRI on MSG, gives the opportunity to improve the accuracy of solar irradiance estimates at surface as well as the spatial and time resolution, covering large geographical areas suitable for the needs of solar energy applications. The AMESIS model takes into account the effect of aerosol, cloud coverage, and it provides irradiance solar data every 15 minutes, both for near-real-time monitoring purposes, and for monthly, seasonal, and annual averages of surface irradiance. Comparisons with ground-based measurements of incoming solar radiation from few Global Atmosphere Watch (GAW) stations demonstrate a good agreement with values retrieved with AMESIS model. The quantitative analysis shows a correlation of about 0.99, a root mean square and a bias ranging, respectively, between 1 and 2.7 J/cm2 and -0.6 and 0.4 J/cm2 depending on the station.
AMESIS: A new model for improving the assessment of solar resource in all weather conditions
Filomena Romano;Edoardo Geraldi;Elisabetta Ricciardelli;Domenico Cimini;Mariassunta Viggiano;
2013
Abstract
Accurate solar irradiance data at ground level are of particular importance for the solar resource assessments, many applications in the energy industry, sustainable urban planning and building design. The renewable solar energy wide-scale integration needs accurate knowledge of time and space resource fluctuation. These fluctuations depend on atmospheric conditions, such as aerosol and cloud presence, and water vapour amount. In order to improve the assessment of solar resource in these complex conditions an Advanced Model for Estimation of Surface solar Irradiance from Satellite (AMESIS) has been developed. It has been designed to estimate the incident solar radiation at surface from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) measurements aboard the geostationary Meteorological Second Generation (MSG) satellite. The new generation of sensors, such as SEVIRI on MSG, gives the opportunity to improve the accuracy of solar irradiance estimates at surface as well as the spatial and time resolution, covering large geographical areas suitable for the needs of solar energy applications. The AMESIS model takes into account the effect of aerosol, cloud coverage, and it provides irradiance solar data every 15 minutes, both for near-real-time monitoring purposes, and for monthly, seasonal, and annual averages of surface irradiance. Comparisons with ground-based measurements of incoming solar radiation from few Global Atmosphere Watch (GAW) stations demonstrate a good agreement with values retrieved with AMESIS model. The quantitative analysis shows a correlation of about 0.99, a root mean square and a bias ranging, respectively, between 1 and 2.7 J/cm2 and -0.6 and 0.4 J/cm2 depending on the station.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
