Performance Analysis of a Spectrally Selective Solar Cell Using PV-GIS Data

From Open Energy Information

Conference Paper: Performance Analysis of a Spectrally Selective Solar Cell Using PV-GIS Data

Abstract

Spectrally selective solar cells (SSSC) can be used to combine photovoltaics and photosynthesis by adjusting the transmittance to the Chlorophyll absorption spectrum. In contrast to opaque agrivoltaic systems with spatial shading, the spectrally selective approach allows full coverage of greenhouses or photo-bioreactors. Recently, we presented a SSSC that is based on a resonant cavity enhanced solar cell. However, the transmission window of the SSSC is dependent on the entrance angle. In this work we analyze the impact of the installation angle and the cardinal orientation of the SSSC on the transmitted light for the locations Almeria, Spain and Oldenburg, Germany. Furthermore, we compare the performance of an experimentally realized SSSC and of the estimated future potential of an improved SSSC. This work shows, that the selective transparency has enough angular robustness to supply plants all year long with vital illumination.


Contains a model

Contains novel data

Topics


Agrivoltaic Activity
Greenhouse
Authors
Norbert Osterthun, Maximilian Götz-Köhler, Nils Neugebohrn, Kai Gehrke, Martin Vehse and Carsten Agert





Conference
AGRIVOLTAICS2021 CONFERENCE: Connecting Agrivoltaics Worldwide; Freiburg, Germany; 2021/06/14
Published
AIP Publishing, 2022



DOI
https://doi.org/10.1063/5.0104570
Online
Internet link for Performance Analysis of a Spectrally Selective Solar Cell Using PV-GIS Data


Citation

Norbert Osterthun, Maximilian Götz-Köhler, Nils Neugebohrn, Kai Gehrke, Martin Vehse, Carsten Agert. 2022. Performance Analysis of a Spectrally Selective Solar Cell Using PV-GIS Data. In: AIP Conference Proceedings. AGRIVOLTAICS2021 CONFERENCE: Connecting Agrivoltaics Worldwide; 2021/06/14; Freiburg, Germany. Online: AIP Publishing; p.

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