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Verification of Sectoral Cloud Motion Based Direct Normal Irradiance Nowcasting from Satellite Imagery

Schroedter-Homscheidt, Marion und Gesell, Gerhard (2015) Verification of Sectoral Cloud Motion Based Direct Normal Irradiance Nowcasting from Satellite Imagery. SolarPaces 2015, 2015-10-13 - 2015-10-16, Capetown, South Africa. doi: 10.1063/1.4949239.

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Offizielle URL: http://dx.doi.org/10.1063/1.4949239

Kurzfassung

The successful integration of solar electricity from photovoltaics or concentrating solar power plants into the existing electricity supply requires an electricity production forecast for 48 hours, while any improved surface irradiance forecast over the next upcoming hours is relevant for an optimized operation of the power plant. While numerical weather prediction has been widely assessed and is in commercial use, the short-term nowcasting is still a major field of development. European Commission’s FP7 DNICast project is especially focusing on this task and this paper reports about parts of DNICast results. A nowcasting scheme based on Meteosat Second Generation cloud imagery and cloud movement tracking has been developed for Southern Spain as part of a solar production forecasting tool (CSP-FoSyS). It avoids the well-known, but not really satisfying standard cloud motion vector approach by using a sectoral approach and asking the question at which time any cloud structure will affect the power plant. It distinguishes between thin cirrus clouds and other clouds, which typically occur in different heights in the atmosphere and move in different directions. Also, their optical properties are very different - especially for the calculation of direct normal irradiances as required by concentrating solar power plants. Results for Southern Spain show a positive impact of up to 8 hours depending of the time of the day and a RMSD reduction of up to 10% in hourly DNI irradiation compared to day ahead forecasts. This paper presents the verification of this scheme at other locations in Europe and Northern Africa (BSRN and EnerMENA stations) with different cloud conditions. Especially for Jordan and Tunisia as the most relevant countries for CSP in this station list, we also find a positive impact of up to 8 hours

elib-URL des Eintrags:https://elib.dlr.de/100761/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Verification of Sectoral Cloud Motion Based Direct Normal Irradiance Nowcasting from Satellite Imagery
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schroedter-Homscheidt, Marionmarion.schroedter-homscheidt (at) dlr.dehttps://orcid.org/0000-0002-1854-903XNICHT SPEZIFIZIERT
Gesell, Gerhardgerhard.gesell (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2015
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Band:1734
DOI:10.1063/1.4949239
Seitenbereich:Seiten 1-7
Name der Reihe:AIP Conference Proceedings
Status:veröffentlicht
Stichwörter:DNI, sectoral, cloud motion, nowcast, satellite imagery
Veranstaltungstitel:SolarPaces 2015
Veranstaltungsort:Capetown, South Africa
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:13 Oktober 2015
Veranstaltungsende:16 Oktober 2015
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Atmosphäre
Hinterlegt von: Schroedter-Homscheidt, Marion
Hinterlegt am:18 Dez 2015 08:58
Letzte Änderung:24 Apr 2024 20:06

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