Solar power generation is highly variable due to its dependence on meteorological conditions. The integration of this fluctuating resource into the energy supply system requires reliable forecasts of the expected power production as a basis for management and operation strategies. This is one of the aims of the Solar Cloud project (funded by the Italian Ministry of Economic Development): to provide detailed forecasts of solar irradiance variables to operators and organizations operating in the solar industry. To improve the prediction of solar irradiance a data assimilation experiment is performed. The study focuses on the evaluation of the impact on GHI forecast at high temporal and horizontal resolution of the assimilation of the SEVIRI radiance
The impact of the 3DVAR assimilation of SEVIRI radiance on the prediction of solar irradiance forecasts in Italy using WRF Solar mesoscale model
Sabrina Gentile;Francesco Di Paola;Filomena Romano;Domenico Cimini;Elisabetta Ricciardelli;Mariassunta Viggiano;Angela Cersosimo;Salvatore Larosa;Saverio Teodosio Nilo;Donatello Gallucci;Edoardo Geraldi
2017
Abstract
Solar power generation is highly variable due to its dependence on meteorological conditions. The integration of this fluctuating resource into the energy supply system requires reliable forecasts of the expected power production as a basis for management and operation strategies. This is one of the aims of the Solar Cloud project (funded by the Italian Ministry of Economic Development): to provide detailed forecasts of solar irradiance variables to operators and organizations operating in the solar industry. To improve the prediction of solar irradiance a data assimilation experiment is performed. The study focuses on the evaluation of the impact on GHI forecast at high temporal and horizontal resolution of the assimilation of the SEVIRI radianceI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.