Abstract : This paper deals with an image processing methodology based on a sky-imaging system developed at the PROMES-CNRS laboratory. It is a part of a project which aims at improving solar plant control procedures using Direct Normal Irradiance (DNI) forecasts under various sky conditions at short term horizon (5-30 minutes) and high spatial resolution (~1 km²). The work presented in this paper is about the improvement of the cloud cover estimation, which is the main step in DNI forecasting. First, an overview of the existing sky-imaging systems and the current cloud detection algorithms is presented. Next, the experimental setup is introduced. Then, the methodology used to estimate the cloud cover is detailed. Finally, the paper ends with some results and discussion.
https://hal-univ-perp.archives-ouvertes.fr/hal-01273353
Contributeur : Julien Eynard
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Soumis le : mardi 5 avril 2016 - 10:17:26
Dernière modification le : jeudi 11 janvier 2018 - 06:22:15
Document(s) archivé(s) le : mercredi 6 juillet 2016 - 10:10:51
