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

Schroedter-Homscheidt, Marion and Gesell, Gerhard (2015) Verification of Sectoral Cloud Motion Based Direct Normal Irradiance Nowcasting from Satellite Imagery. SolarPaces 2015, 13-16 Oct 2015, Capetown, South Africa.

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


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

Item URL in elib:https://elib.dlr.de/100761/
Document Type:Conference or Workshop Item (Speech)
Title:Verification of Sectoral Cloud Motion Based Direct Normal Irradiance Nowcasting from Satellite Imagery
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schroedter-Homscheidt, Marionmarion.schroedter-homscheidt (at) dlr.deUNSPECIFIED
Gesell, Gerhardgerhard.gesell (at) dlr.deUNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-7
Series Name:AIP Conference Proceedings
Keywords:DNI, sectoral, cloud motion, nowcast, satellite imagery
Event Title:SolarPaces 2015
Event Location:Capetown, South Africa
Event Type:international Conference
Event Dates:13-16 Oct 2015
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Atmosphere
Deposited By: Schroedter-Homscheidt, Marion
Deposited On:18 Dec 2015 08:58
Last Modified:26 Oct 2016 13:57

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