Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38927
Title: Physics-based electrical modelling of CIGS thin-film photovoltaic modules for system-level energy yield simulations
Authors: RAMESH, Santhosh 
TUOMIRANTA, Arttu 
Hajjiah, Ali
MEURIS, Marc 
VERMANG, Bart 
POORTMANS, Jef 
Issue Date: 2022
Publisher: NATURE PORTFOLIO
Source: npj Flexible Electronics, 6 (1) (Art N° 87)
Abstract: Copper indium gallium selenide (CIGS) is a commercialized, high-efficiency thin-film photovoltaic (PV) technology. The state-of-the-art energy yield models for this technology have a significant normalized root mean square error (nRMSE) on power estimation: De Soto model-26.7%; PVsyst model-12%. In this work, we propose a physics-based electrical model for CIGS technology which can be used for system-level energy yield simulations by people across the PV value chain. The model was developed by considering models of significant electrical current pathways from literature and adapting it for the system-level simulation. We improved it further by incorporating temperature and irradiance dependence of parameters through characterisation at various operating conditions. We also devised a module level, non-destructive characterization strategy based on readily available measurement equipment to obtain the model parameters. The model was validated using the measurements from multiple commercial modules and has a significantly lower power estimation nRMSE of 1.2%.
Notes: Ramesh, S (corresponding author), Imo Imomec, IMEC, Thor Pk 8320, B-3600 Genk, Belgium.; Ramesh, S (corresponding author), Imo Imomec, EnergyVille, Thor Pk 8320, B-3600 Genk, Belgium.; Ramesh, S (corresponding author), Katholieke Univ Leuven, Dept Elect Engn ESAT, Leuven, Belgium.; Ramesh, S (corresponding author), Hasselt Univ, Imo Imomec, Martelarenlaan 42, B-3500 Hasselt, Belgium.
santhosh.ramesh@imec.be
Document URI: http://hdl.handle.net/1942/38927
e-ISSN: 2397-4621
DOI: 10.1038/s41528-022-00220-5
ISI #: 000874945800001
Rights: The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http:// creativecommons.org/licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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