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Satellite based snow identification and its impact on monitoring photovoltaic systems

Wirth, Georg und Schroedter-Homscheidt, Marion und Zehner, Mike und Becker, Gerd (2008) Satellite based snow identification and its impact on monitoring photovoltaic systems. EUMETSAT Meteorological Satellite Conference, 8.-12.9.2008, Darmstadt, Deutschland.

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Kurzfassung

Satellite based earth observation allows the detection of snow cover and the discrimination of cloud from snow cover using multispectral measurements. Using this data enables photovoltaic (PV) plant management to distinguish failures due to snow coverage on a PV system from other error sources. It is also possible to improve yield estimates in solar siting. This paper gives an overview on satellite-based snow cover information which is available in different spatial scales. Results of a validation study from January to April 2006 with ground measurements from German and Swiss meteorological stations are presented. Quality measures introduced are the „false alarm rate“, the „error due to underestimation“, the „availability” of the data sets, and the „classification accuracy“. Depending on how defensively satellite measurements are evaluated, the error shifts from too much recognized snow (error due to underestimation of surface solar irradiance) to too little recognized snow causing a false alarm in PV monitoring. For pure power plant operations monitoring the data record of LSA SAF is the most suitable as it has a symmetrical and small error pattern (false alarm rate 26 % / error due to underestimation 23 %), but the data availability is low (65 %). The IMS data set has a low false alarm rate (4 %) and good data availability (100 %), but a large error due to underestimation (59 %). Also, the DLR data set has a rather small symmetrical error pattern (false alarm rate 37 % / error due to underestimation 26 %) and a good availability (99 %). If a cumulative snow cover algorithm is applied to achieve information on every day, the preciseness of all datasets declines and both the DLR and the LSA SAF datasets become comparable in their results.

Dokumentart:Konferenzbeitrag (Paper)
Titel:Satellite based snow identification and its impact on monitoring photovoltaic systems
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Wirth, GeorgNICHT SPEZIFIZIERT
Schroedter-Homscheidt, Marionmarion.schroedter-homscheidt@dlr.de
Zehner, MikeNICHT SPEZIFIZIERT
Becker, GerdNICHT SPEZIFIZIERT
Datum:2008
Referierte Publikation:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seiten 1-8
Status:veröffentlicht
Stichwörter:snow detection, solar energy, solar plant monitoring, validation
Veranstaltungstitel:EUMETSAT Meteorological Satellite Conference
Veranstaltungsort:Darmstadt, Deutschland
Veranstaltungsart:Konferenz
Veranstaltungsdatum:8.-12.9.2008
Veranstalter :EUMETSAT
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben Atmosphären- und Klimaforschung (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Klima- und Atmosphärenprodukte
Hinterlegt von: Marion Schroedter-Homscheidt
Hinterlegt am:13 Aug 2009 14:28
Letzte Änderung:13 Aug 2009 14:28

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