The effect of pollutants on leakage current and power degradation of photovoltaic modules
Ping Wang,
Meiya Kong,
Wei Du,
Linhong Wang and
Lei Ni
Renewable Energy, 2020, vol. 146, issue C, 2668-2675
Abstract:
The surface of photovoltaic (PV) modules exposed under sunlight are always covered with pollutants, which often lead to the increase of leakage current and potential induced degradation (PID). For investigating the indistinct mechanism and effect of pollutants on PV leakage current, activation energy, and power degradation, an experimental prototype was set up in an environmental chamber. Then different masses of pollutants were smeared on PV modules' surface to investigate their influence on leakage current. The polluted leakage current model was established by measuring the PV modules’ leakage current and calculating the activation energy with different humidity and pollutant mass. The experimental results indicate that the leakage current model proposed in this paper can predict the polluted leakage current, and the proposed pollutant correlation coefficient can reveal the degradation rate and guide for the economic operation of cleaning PV modules.
Keywords: Photovoltaic module; Pollutant; Leakage current; Activation energy; Power degradation rate (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096014811931242X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:146:y:2020:i:c:p:2668-2675
DOI: 10.1016/j.renene.2019.08.055
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().