Stochastic prediction of hourly global solar radiation for Patra, Greece
Creators
- 1. Mechanical Engineering Dept., T.E.I. of Patras, Meg. Alexandrou 1, Patra (Greece)
Description
This paper describes the stochastic prediction of the hourly profile of the intensity of the global solar radiation, I(h; nj) for any day nj at a site. The prediction model requires one, two, or three morning measurements of the global solar radiation in a day nj, makes use of a rich data bank of past years recorded data, and provides I(h; nj) values for the rest hours of the day. The model is validated by comparing the I(h; nj) profiles generated for Patra, Greece, with the solar radiation measurements recorded for Winter, Autumn and Spring days, when solar radiation fluctuations often appear to be strong, while also comparing with the predicted by the METEONORM package I(h; nj) profile. Conclusions are deducted for the predictive power of the model. The proposed model, which is developed in MATLAB for the purpose of this research, provides I(h; nj) profile predictions very close to the measured values and offers itself as a promising tool for a predictive on-line daily load management.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.apenergy.2010.06.006Additional details
Identifiers
- DOI
- 10.1016/j.apenergy.2010.06.006;
- PII
- S0306-2619(10)00220-5;
Publishing Information
- Journal Title
- Applied Energy
- Journal Volume
- 87
- Journal Issue
- 12
- Journal Page Range
- p. 3748-3758
- ISSN
- 0306-2619
- CODEN
- APENDX
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44113433
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S14: SOLAR ENERGY;
- Descriptors DEI
- FLUCTUATIONS; FORECASTING; GREECE; LOAD MANAGEMENT; SEASONAL VARIATIONS; SOLAR RADIATION; STOCHASTIC PROCESSES
- Descriptors DEC
- DEVELOPING COUNTRIES; EUROPE; MANAGEMENT; RADIATIONS; STELLAR RADIATION; VARIATIONS; WESTERN EUROPE
Optional Information
- Copyright
- Copyright (c) 2010 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.