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Dynamic model of photovoltaic module temperature as a function of atmospheric conditions

  • The temperature of photovoltaic modules is modelled as a dynamic function of ambient temperature, shortwave and longwave irradiance and wind speed, in order to allow for a more accurate characterisation of their efficiency. A simple dynamic thermal model is developed by extending an existing parametric steady-state model using an exponential smoothing kernel to include the effect of the heat capacity of the system. The four parameters of the model are fitted to measured data from three photovoltaic systems in the Allgäu region in Germany using non-linear optimisation. The dynamic model reduces the root-mean-square error between measured and modelled module temperature to 1.58 K on average, compared to 3.03 K for the steady-state model, whereas the maximum instantaneous error is reduced from 20.02 to 6.58 K.

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Metadaten
Document Type:Article
Language:English
Author:James Barry, Dirk Böttcher, Klaus Pfeilsticker, Anna Herman-Czezuch, Nicola Kimiaie, Stefanie Meilinger, Christopher Schirrmeister, Hartwig Deneke, Jonas Witthuhn, Felix Gödde
Parent Title (English):Advances in Science and Research
Volume:17
Pagenumber:9
First Page:165
Last Page:173
ISSN:1992-0636
URN:urn:nbn:de:hbz:1044-opus-50017
DOI:https://doi.org/10.5194/asr-17-165-2020
Publisher:Copernicus Publications
Place of publication:Göttingen
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2020/07/24
Note:
19th EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2019
Note:
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
Departments, institutes and facilities:Fachbereich Elektrotechnik, Maschinenbau, Technikjournalismus
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Internationales Zentrum für Nachhaltige Entwicklung (IZNE)
Dewey Decimal Classification (DDC):5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 551 Geologie, Hydrologie, Meteorologie
Entry in this database:2020/07/28
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International