Author:
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.
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.
Funder
U.S. Department of Energy
Subject
Economics and Econometrics,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment
Reference49 articles.
1. Electrical signatures of corrosion and solder bond failure in c-Si solar cells and modules;Asadpour;IEEE J. Photovoltaics,2019
2. El and i-v correlation for degradation of perc vs. al-bsf commercial modules in accelerated exposures;Braid,2018
3. Statistical and domain analytics applied to PV module lifetime and degradation science;Bruckman;IEEE Access,2013
4. Pvplr: R package implementation of multiple filters and algorithms for time-series performance loss rate analysis;Curran
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献