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

被引:2
|
作者
Islam, Syed Zahurul [1 ]
Izzati, Nur Syahirah [1 ]
Abdullah, Mohd Noor [1 ]
Kamarudin, Muhammad Saufi [1 ]
Omar, Rosli [1 ]
Uddin, Jasim [2 ]
机构
[1] Univ Tun Hussein Onn Malaysia UTHM, Fac Elect & Elect Engn, Batu Pahat 86400, Johor, Malaysia
[2] Cardiff Metropolitan Univ, Cardiff Sch Technol, Dept Appl Comp & Engn, Western Ave, Cardiff CF5 2YB, Wales
关键词
Photovoltaic cleaning; Dust-fall; Energy yield; Rooftop photovoltaic; ELECTRICAL PERFORMANCE; SOILING LOSSES; SOLAR PANEL; ACCUMULATION; IMPACTS; SYSTEMS;
D O I
10.1007/s42452-022-05205-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (P out ) and dust-fall factor. For model validation, we conducted an experiment of taking one set of Monocrystalline PV (mono) on a 340; 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 P out 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 P out prediction, which is much simpler compared to multivariables equation. Our investigation offers important insights into the accuracy of this regression model demonstrated by R-2 = 0.744 or a strong negative quadratic relationship between P out and dust-fall. The cleaning of PV modules is expected to save significant energy to reduce the payback period.
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页数:16
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