Automated water recycle (AWR) method for dust removal from rooftop photovoltaic (PV) at Johor, Malaysia

ABSTRACT: Wet dust on the Photovoltaic (PV) surface is a persistent problem that is merely considered for rooftop based PV cleaning under a high humid climate like Malaysia. This paper proposes an Automated Water Recycle (AWR) method encompassing a water recycling unit for rooftop PV cleaning with the aim to enhance the electrical performance. This study makes a major contribution by developing a new model to correlate output power ([Formula: see text] ) and dust-fall factor. For model validation, we conducted an experiment of taking one set of Monocrystalline PV (mono) on a [Formula: see text] of medium luminance day. One mono module was cleaned by AWR - pressurized water sprayed through 11 small holes over its front surface, while the other module was left with no-cleaning. The dust-contaminated water was filtered and collected back to the tank for recycling process. The water loss per cleaning cycle was achieved 0.32%, which was normalized to net loss of 28.8% at a frequency of 1 cycle/day for 90 days of operation. We observed that [Formula: see text] of no-cleaning PV was decreased by 29.44% than that of AWR method. From this experimental data also, a unique and more accurate model is created for [Formula: see text] prediction, which is much simpler compared to multivariables equation. Our investigation offers important insights into the accuracy of this regression model demonstrated by [Formula: see text] or a strong negative quadratic relationship between [Formula: see text] and dust-fall. The cleaning of PV modules is expected to save significant energy to reduce the payback period. ARTICLE HIGHLIGHTS: An automated water recycle method for cleaning dust-fall in rooftop photovoltaic module is proposed. Both simulation and experimental models are developed to predict output power of the photovoltaic module. Proposed method can produce 24.40% more output power than a no-cleaning system with a mere water loss of 0.32%/cycle.