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.

Hourly comparison of numerical weather prediction solar irradiance forecasts in Italy using WRF Solar mesoscale model, ground based stations and satellite products

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.
2017
Istituto di Metodologie per l'Analisi Ambientale - IMAA
numerical weather prediction
solar irradiance
satellite data
forecast
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/345641
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact