A model to predict expected mean and stochastic hourly global solar radiation I(h;nj) values

S. Kaplanis, E. Kaplani

Research output: Contribution to journalArticlepeer-review

104 Citations (Scopus)

Abstract

This paper describes an improved approach for (a) the estimation of the mean expected hourly global solar radiation I(h;nj), for any hour h of a day nj of the year, at any site, and (b) the estimation of stochastically fluctuating I(h;nj) values, based on only one morning measurement of a day. Predicted mean expected values are compared, on one hand with recorded data for the period of 1995-2000 and, on the other, with results obtained by the METEONORM package, for the region of Patra, Greece. The stochastically predicted values for the 17th January and 17th July are compared with the recorded data and the corresponding values predicted by the METEONORM package. The proposed model provides I(h;nj) predictions very close to the measurements and offers itself as a promising tool both for the on-line daily management of solar power sources and loads, and for a cost effective PV sizing approach.

Original languageEnglish
Pages (from-to)1414-1425
Number of pages12
JournalRenewable Energy
Volume32
Issue number8
DOIs
Publication statusPublished - Jul 2007

Keywords

  • Dynamic PV-sizing
  • Hourly solar radiation
  • On-line management
  • Prediction
  • Statistical simulation

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