Post-processing of Solar Irradiance Forecasts from WRF Model at Reunion Island
| Autor: | Maimouna Diagne, John Boland, Philippe Lauret, Mathieu David, Nicolas Schmutz |
|---|---|
| Přispěvatelé: | Physique et Ingénierie Mathématique pour l'Énergie, l'environnemeNt et le bâtimenT (PIMENT), Université de La Réunion (UR), Diagne, M, David, M, Boland, John William, Schmutz, Nicolas, Lauret, Philippe, University of South Australia [Adelaide], ReuniWatt, Diagne, Maïmouna, David, Mathieu, Boland, John, Lauret, Phillippe, 2013 ISES Solar World Congess Cancun, Mexico 3-7 November 2013 |
| Rok vydání: | 2014 |
| Předmět: |
010504 meteorology & atmospheric sciences
Meteorology 020209 energy media_common.quotation_subject WRF Solar zenith angle 02 engineering and technology Solar irradiance Post processing 01 natural sciences Model Output Statistics Energy(all) 0202 electrical engineering electronic engineering information engineering General Materials Science NWP post processing Physics::Atmospheric and Oceanic Physics Clear Sky Index 0105 earth and related environmental sciences Remote sensing media_common solar zenith angle [PHYS]Physics [physics] Horizontal resolution Renewable Energy Sustainability and the Environment business.industry solar irradiance Kalman filter Solar energy solar irradiance forecasting Solar irradiance forecasting Model output statistics clear sky index Solar Zenith Angle 13. Climate action Sky Weather Research and Forecasting Model [SDE]Environmental Sciences Environmental science Astrophysics::Earth and Planetary Astrophysics business Kalman filtering |
| Zdroj: | Solar Energy Solar Energy, Elsevier, 2014, 105, pp.99-108. ⟨10.1016/j.solener.2014.03.016⟩ Energy Procedia Energy Procedia, Elsevier, 2014, 57, pp.1364-1373. ⟨10.1016/j.egypro.2014.10.127⟩ |
| ISSN: | 1876-6102 0038-092X 1471-1257 |
| DOI: | 10.1016/j.egypro.2014.10.127 |
| Popis: | An efficient use of solar energy production requires reliable forecast information on surface solar irradiance. This article aims at providing a Model Output Statistics (MOS) method of improving solar irradiance forecasts from Weather Research and Forecasting (WRF) model. The WRF model was used to produce one year of day ahead solar irradiance forecasts covering Reunion Island with an horizontal resolution of 3 km. These forecasts are refined with a Kalman filter using hourly high quality ground measurements. Determination of the relevant data inputs for the Kalman filter method is realized with a bias error analysis. The solar zenith angle and the clear sky index, among others, are used for this analysis. Accuracy of the method is evaluated with a comprehensive testing procedure using different error metrics. The Kalman filtering appears to be a viable method in order to improve the solar irradiance forecasting. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
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