Kazantzidis, A. und Tzoumanikas, Panagiotis und Blanc, Philippe und Massip, Pierre und Wilbert, Stefan und Ramirez-Santigosa, Lourdes (2017) Short-term forecasting based on all-sky cameras. In: Renewable Energy Forecasting - From Models to Applications Woodhead Publishing Series in Energy. Woodhead Publishing. Seiten 153-178. doi: 10.1016/B978-0-08-100504-0.00005-6. ISBN 978-0-08-100504-0.
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Offizielle URL: http://www.sciencedirect.com/science/article/pii/B9780081005040000056
Kurzfassung
Solar resource and forecasting in very short spatial and timescales (0–100 m, 0–30 min) is a challenging task that cannot be accurately achieved by satellite products or numerical weather predictions due to technical and methodological restrictions. For this reason, sky images from ground-based cameras are widely used during the last decade to deal with the high spatial and temporal variability of clouds and provide the needed inputs for numerical models for the current and forecasted (in short-term) solar irradiance. In this chapter, the available types of all-sky cameras/imagers are shortly presented. The chapter is focused on the state-of-the-art methodologies used to derive parameters needed for the estimations of solar resource and forecasting by a calibrated all-sky camera: cloud coverage, type, height, and velocity as well as aerosol optical properties. The application of these methodologies at Plataforma Solar de Almeria, in the frame of project: “Direct Normal Irradiance Nowcasting methods for optimized operation of concentrating solar technologies” (DNICast, http://www.dnicast-project.net/) is discussed. Finally, the chapter finishes with some propositions for future work in the recent, but quickly, developed research area.
elib-URL des Eintrags: | https://elib.dlr.de/117928/ | ||||||||||||||||||||||||||||
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Dokumentart: | Beitrag in einem Lehr- oder Fachbuch | ||||||||||||||||||||||||||||
Titel: | Short-term forecasting based on all-sky cameras | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 2017 | ||||||||||||||||||||||||||||
Erschienen in: | Renewable Energy Forecasting - From Models to Applications | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
DOI: | 10.1016/B978-0-08-100504-0.00005-6 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 153-178 | ||||||||||||||||||||||||||||
Herausgeber: |
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Verlag: | Woodhead Publishing | ||||||||||||||||||||||||||||
Name der Reihe: | Woodhead Publishing Series in Energy | ||||||||||||||||||||||||||||
ISBN: | 978-0-08-100504-0 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | Aerosol; All-sky camera; Cloud; Short-term forecasting; Solar energy; Solar irradiance | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Energie | ||||||||||||||||||||||||||||
HGF - Programm: | Erneuerbare Energie | ||||||||||||||||||||||||||||
HGF - Programmthema: | Konzentrierende solarthermische Technologien | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Energie | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | E SW - Solar- und Windenergie | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - Einfluss von Wüstenbedingungen (alt) | ||||||||||||||||||||||||||||
Standort: | Köln-Porz | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Solarforschung > Qualifizierung | ||||||||||||||||||||||||||||
Hinterlegt von: | Kruschinski, Anja | ||||||||||||||||||||||||||||
Hinterlegt am: | 12 Jan 2018 09:31 | ||||||||||||||||||||||||||||
Letzte Änderung: | 03 Aug 2023 09:17 |
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