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Efficiency of organic solar cells: Improving a model for the fill factor

Oostwal, E.C. (2018) Efficiency of organic solar cells: Improving a model for the fill factor. Bachelor's Thesis, Computing Science.

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The need for renewable ways of generating energy such as solar energy is urgent. Solar cells made from inorganic materials have already made great progress, the state of the art inorganic solar cells having an efficiency of around 45%. There are however alternatives to these inorganic solar cells, namely organic solar cells, which have interesting mechanical properties such as flexibility. It is however difficult to obtain a high efficiency for these, most recent research obtaining an efficiency of only 15%. It is therefore needed to get a better understanding of what determines the efficiency of organic solar cells. In this research an attempt has been made to improve the already existing model for fill factor, a measure of the efficiency, which has been developed by Bartesaghi et al.. This has been done using two approaches. First from the point of view of physics, using both steady-state and transient simulations. For the former it was needed to set up a numerical model of a solar cell. In the second half we have tried to optimize the model from the side of computing science, mainly using a basic technique from machine learning: linear regression.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Biehl, M and Koster, L. J. A.
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 26 Jul 2018 11:11
Last Modified: 18 Jun 2024 14:31

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