Simulation of crystalline silicon photovoltaic cells for wearable applications

Zhao, J., Xu, Z., Law, M.-K., Heidari, H. , Abdellatif, S. O., Imran, M. A. and Ghannam, R. (2021) Simulation of crystalline silicon photovoltaic cells for wearable applications. IEEE Access, 9, pp. 20868-20877. (doi: 10.1109/ACCESS.2021.3050431)

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Abstract

Advancements in the semiconductor industry have enabled wearable devices to be used for a wide range of applications, including personalised healthcare. Novel energy harvesting technologies are therefore necessary to ensure that these devices can be used without interruption. Crystalline silicon photovoltaic cells provide high energy density to electronic loads. However, the optimization of these cells is a complex task since the optical performance is coupled to the surroundings, and the electrical performance is influenced by the intrinsic PV characteristics and parasitic losses.Without doubt, accurate simulation tools can provide the necessary insight to PV cell performance before device fabrication. However, the majority of these tools require expensive licensing fees. Thus, the aim of this article is to review the range of non-commercial PV simulation tools that can be used for wearable applications. We provide a detailed procedure for device modelling and we compare the performance of these tools with previously published experimental data, as well as commercial software. According to our findings, non-commercial 3D simulation tools such as PC3D provide accurate results, with only a relative error of ≈2.2% in Jsc after setting off the difference in geometrical modelling due to the software limit.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ghannam, Dr Rami and Imran, Professor Muhammad and Zhao, Mr Jinwei and Heidari, Dr Hadi
Authors: Zhao, J., Xu, Z., Law, M.-K., Heidari, H., Abdellatif, S. O., Imran, M. A., and Ghannam, R.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Access
Publisher:IEEE
ISSN:2169-3536
ISSN (Online):2169-3536
Published Online:08 January 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in IEEE Access 9: 20868
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304896EPSRC-IAA: Early Stage Commercialisation of a PET Imaging Agent for the Detection of Cardiovascular Disease and CancerAndrew SutherlandEngineering and Physical Sciences Research Council (EPSRC)EP/R511705/1Chemistry