Document Type
Article
Publication Date
7-16-2023
Abstract
We have studied the degradation of both full-sized modules and minimodules with PERC and Al-BSF cell variations in fields while considering packaging strategies. We demonstrate the implementations of data-driven tools to analyze large numbers of modules and volumes of timeseries data to obtain the performance loss and degradation pathways. This data analysis pipeline enables quantitative comparison and ranking of module variations, as well as mapping and deeper understanding of degradation mechanisms. The best performing module is a half-cell PERC, which shows a performance loss rate (PLR) of −0.27 ± 0.12% per annum (%/a) after initial losses have stabilized. Minimodule studies showed inconsistent performance rankings due to significant power loss contributions via series resistance, however, recombination losses remained stable. Overall, PERC cell variations outperform or are not distinguishable from Al-BSF cell variations.
Keywords
Al-BSF, field studies, I-V, PERC, performance assessment, PV module technology, timeseries data
Language
English
Publication Title
Frontiers in Energy Research
Grant
DE-EE-0008172
Rights
© 2023 Curran, Yu, Liu, Colvin, Iqbal, Moran, Brownell, Li, Davis, Huey, Jaubert, Braid, Bruckman and French. This is an Open Access work distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Curran Alan J. , Yu Xuanji , Liu Jiqi , Colvin Dylan J. , Iqbal Nafis , Moran Thomas , Brownell Brent , Li Mengjie , Davis Kristopher O. , Huey Bryan D. , Jaubert Jean-Nicolas , Braid Jennifer L. , Bruckman Laura S. , French Roger H. Field studies of PERC and Al-BSF PV module performance loss using power and I-V timeseries. Frontiers in Energy Research, 11, 2023, DOI: 10.3389/fenrg.2023.1127775
Manuscript Version
Final Publisher Version