Experimental investigation of dust pollutants and the impact of environmental parameters on PV performance: an experimental study

Zeki Ahmed Darwish, Hussein A. Kazem (), K. Sopian, M. A. Alghoul and Hussain Alawadhi
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Zeki Ahmed Darwish: Universiti Kebangsaan Malaysia
Hussein A. Kazem: Sohar University
K. Sopian: Universiti Kebangsaan Malaysia
M. A. Alghoul: Universiti Kebangsaan Malaysia
Hussain Alawadhi: University of Sharjah

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2018, vol. 20, issue 1, No 8, 155-174

Abstract: Abstract The accumulation of dust pollution on the photovoltaic (PV) module can have a significant effect on the productivity and efficiency of PV systems in different locations in the world. Dust which accumulated over time on the PV module and is based on weather conditions led to the reduction in the effectiveness of solar cells. The aim of this research was to experimentally investigate the effect of the natural dust and the effects of environmental parameters on PV performance. The experiments were conducted to propose a model for the current, voltage, power and efficiency and to simulate the effect of environmental parameters on PV performance. The natural dust investigated consisted of different compounds: SiO2 (45.53 %), CaO (24.62 %), Al2O3 (10.83 %), Fe2O3 (10.46 %), MgO (6.33 %), K2O (0.87 %), TiO2 (0.45 %), SO3 (0.24 %), MnO2 (0.21), Cr2O3 (0.23 %), SrO (0.13 %) and NiO (0.09 %). It was found that the most accurate correlation is a polynomial from seventh degree for current, voltage, power and efficiency, fourth degree for solar radiation and temperature, cubic degree for humidity and wind velocity. The coefficients of general model are 0.6343, 0.0110, 0.0 and 0.0001 for PV module, respectively, with 0.0011 fitting factor. The proposed model has been validated using models in the literature.

Keywords: Dust pollution; Photovoltaic; Environmental parameters; Correlation (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (12)

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DOI: 10.1007/s10668-016-9875-7

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