Intrinsic Photoconductivity Spectral Dependence as a Tool for Prediction of Open-Circuit Voltage in Organic Solar Cells
Raitis Grzibovskis,
Andis Polaks and
Aivars Vembris ()
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Raitis Grzibovskis: Institute of Solid State Physics, University of Latvia, 8 Kengaraga Street, LV-1063 Riga, Latvia
Andis Polaks: Institute of Solid State Physics, University of Latvia, 8 Kengaraga Street, LV-1063 Riga, Latvia
Aivars Vembris: Institute of Solid State Physics, University of Latvia, 8 Kengaraga Street, LV-1063 Riga, Latvia
Energies, 2023, vol. 16, issue 18, 1-11
Abstract:
Organic materials are known for their variety of molecules. Methods to predict the parameters of organic photovoltaic (OPV) cells are required to avoid the time- and resource-consuming processes of manufacturing and testing OPVs. Usually, the open-circuit voltage ( U oc ) is estimated as the difference between the ionization energy level of the electron donor molecule ( I d ) and the electron affinity level of the electron acceptor molecule ( EA a ). Various measurement methods are used to determine the energy level values of pure materials, which, when combined with energy level shifts due to the donor:acceptor interactions, make these estimations less precise. In this work, photoconductivity measurements were applied to the donor:acceptor films. Near threshold energy, the electron can be directly transferred from the donor to the acceptor molecule. The obtained charge transfer energy ( E CT ) shows the difference between I d and EA a in the film. This difference was compared to the U oc value of an OPV made of the same donor:acceptor combination. We show that this approach provides less scattered results and a higher correlation coefficient compared to the U oc estimation using energy level values.
Keywords: organic photovoltaics; open-circuit voltage; intrinsic photoconductivity; bulk heterojunction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:18:p:6728-:d:1244193
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