Optoelectronic simulation and thickness optimization of energetically disordered organic solar cells

In this work a complete semi-classical model of an organic solar cell is presented. The different aspects of conversion of light to electricity are taken into account. Correct models for density of state and organic-metal interface are considered in order to include the effect of energetically disor...

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Bibliographic Details
Published in:Journal of computational electronics 2014-12, Vol.13 (4), p.933-942
Main Authors: Fallahpour, A. H., Gagliardi, A., Gentilini, D., Zampetti, A., Santoni, F., Auf der Maur, M., Di Carlo, A.
Format: Article
Language:English
Subjects:
Approximation
Charge
Computer simulation
Current voltage characteristics
Efficiency
Electric fields
Electrical Engineering
Electrons
Engineering
Excitons
Fittings
Indication
Material properties
Mathematical and Computational Engineering
Mathematical and Computational Physics
Mechanical Engineering
Morphology
Optical and Electronic Materials
Optimization
Optoelectronics
Photovoltaic cells
Simulation
Solar cells
Theoretical
Thickness
Tuning
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Summary:In this work a complete semi-classical model of an organic solar cell is presented. The different aspects of conversion of light to electricity are taken into account. Correct models for density of state and organic-metal interface are considered in order to include the effect of energetically disorder material properties. Most of the parameters for the model are taken from literature while some were fixed by fitting with several experimental current-voltage characteristics. The comparison between modeling results and experimental data shows consistency and are in good agreement. Finally the model is used to investigate the optimization of hole transport (PEDOT) and active (P3HT:PCBM) layer thicknesses in order to maximize the cell efficiency. The simulation of the efficiency of the cell with varying thickness shows a fine tuning between the exciton generation and the charge recombination, giving clear indications on the optimization of cell performance.
ISSN:1569-8025
1572-8137
DOI:10.1007/s10825-014-0611-y