A novel method for analyzing the effect of dust accumulation on energy efficiency loss in photovoltaic (PV) system

Siyuan Fan, Yu Wang, Shengxian Cao, Tianyi Sun and Peng Liu

Energy, 2021, vol. 234, issue C

Abstract: A novel analysis method for energy efficiency loss is proposed in this paper, which is used to evaluate the effect of dust accumulation in PV system, quantitatively. Considering the nonlinear power generation characteristic of PV panels at low irradiance (below 200–300 W/m2), the coupling model of dust concentration and photoelectric conversion efficiency (DC-PCE) is established. To determine the selection range of unknown parameters (saturation irradiance, influence coefficient of dust accumulation) in the model, a PV power generation experiment with six representative dust pollutants (ash, laterite, stone dust, sandy, coal powder and cement) is designed. According to experimental fitting data, the saturation irradiance and corresponding standard deviation of influence coefficient for the six pollutants are given. Eventually, the effectiveness of the model is verified by using ash in natural conditions. Results show that the proposed model has excellent generalization ability and the accuracy is 83.12%. It offers a simple and reliable tool for evaluating the degree of dust accumulation on site.

Keywords: Dust accumulation; PV panels; Photoelectric conversion efficiency; Dust concentration; DC-PCE model (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221013608
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:energy:v:234:y:2021:i:c:s0360544221013608

DOI: 10.1016/j.energy.2021.121112

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().