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Irradiance and cloud optical properties from photovoltaic power data under variable atmospheric conditions

  • The electricity grid of the future will be built on renewable energy sources, which are highly variable and dependent on atmospheric conditions. In power grids with an increasingly high penetration of solar photovoltaics (PV), an accurate knowledge of the incoming solar irradiance is indispensable for grid operation and planning, and reliable irradiance forecasts are thus invaluable for energy system operators. In order to better characterise shortwave solar radiation in time and space, data from PV systems themselves can be used, since the measured power provides information about both irradiance and the optical properties of the atmosphere, in particular the cloud optical depth (COD). Indeed, in the European context with highly variable cloud cover, the cloud fraction and COD are important parameters in determining the irradiance, whereas aerosol effects are only of secondary importance.

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Metadaten
Document Type:Conference Object
Language:English
Author:James Barry, Stefanie Meilinger, Klaus Pfeilsticker, Felix Gödde, Bernhard Mayer, Hartwig Deneke, Jonas Witthuhn, Leonhard Scheck, Marion Schroedter-Homscheidt, Philipp Hofbauer, Matthias Struck
Parent Title (English):EMS Annual Meeting 2022, 4-9 September 2022, Bonn, Germany
Article Number:713
URN:urn:nbn:de:hbz:1044-opus-63047
DOI:https://doi.org/10.5194/ems2022-713
Publisher:Copernicus GmbH
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2022/06/28
Copyright:© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
Departments, institutes and facilities:Fachbereich Elektrotechnik, Maschinenbau und Technikjournalismus
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Internationales Zentrum für Nachhaltige Entwicklung (IZNE)
Projects:MetPVNet - Entwicklung innovativer satellitengestützter Methoden zur verbesserten PV-Ertragsvorhersage auf verschiedenen Zeitskalen für Anwendungen auf Verteilnetzebene (DE/BMWi/0350009A)
Dewey Decimal Classification (DDC):5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 551 Geologie, Hydrologie, Meteorologie
Entry in this database:2022/07/18
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International