Short term solar power forecasting based on satellite images

Abstract : The aim of this chapter is to describe the use of satellite-derived surface solar irradiance (SSI) from the continuous optical image acquisition of geostationary meteorological satellites to produce solar power forecasting, typically for intraday time horizons from 0 to 6 h ahead. Different approaches and products of satellite-based SSI retrieval used for solar power estimations are first presented. Then two families of satellite-based solar forecasting method are described: The one considering only the temporal variability of SSI observed in quasi real-time by the satellite for a single location or an aggregated region. The one exploiting the ability of the satellite to observe the correlated spatial and temporal variability of SSI (cloud motion vectors or statistical approaches). The different possibilities of using in situ SSI or solar power monitoring in combination with satellite are also presented.
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Chapitre d'ouvrage
Renewable Energy Forecasting: From Models to Applications , Elsevier - Woodhead Publishing, Chapter 6 - p. 179-198, 2017, Woodhead Publishing Series in Energy, 978-0-0810-0504-0 〈10.1016/B978-0-08-100504-0.00006-8〉
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01542855
Contributeur : Brigitte Hanot <>
Soumis le : mardi 20 juin 2017 - 11:08:08
Dernière modification le : mardi 27 mars 2018 - 16:06:22

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Philippe Blanc, Jan Remund, Loïc Vallance. Short term solar power forecasting based on satellite images. Renewable Energy Forecasting: From Models to Applications , Elsevier - Woodhead Publishing, Chapter 6 - p. 179-198, 2017, Woodhead Publishing Series in Energy, 978-0-0810-0504-0 〈10.1016/B978-0-08-100504-0.00006-8〉. 〈hal-01542855〉

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