A Low Cost Automated Cleaning System for Photovoltaic Panels

Haydar, Jamal; NourAldeen, Ahmad; Fayad, Hadi; Fahs, Walid; Hassan, Hussein Al Haj

doi:10.1109/acit.2018.8672703

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…Self-cleaning is a modification of PV modules by adding a coating of Nanofilm on the surface of the cells, there is no operator needed but the system has low reliability [42][43][44][45][46][47][48]. The automated water sprinkler system uses water to automatically wash the solar panels by nozzles connected to the panels so it is like artificial rain, the system is easy to install and the cycle of cleaning can be changed [49][50][51][52][53].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Soiling and Frequency of Optimal Cleaning of PV Panels in Palestine

et al. 2022

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The performance of photovoltaic (PV) solar panels is dependent on certain factors, such as dust effects. Even though Palestine’s energy issues are well-known, no research has been undertaken on the soiling effect on solar energy generation in Palestine’s climatic circumstances. The study’s findings can aid Palestine’s efforts to achieve long-term energy sustainability and solar energy use. Outdoor research was conducted in Tulkarm, Palestine, to explore the impact of dust on PV systems. The current study examined the impact of dust accumulation based on the Mediterranean climate. To accomplish this, a one-year experiment was conducted from 1 January to 31 December 2021. An 85-kW PV power plant at Tulkarm was utilized in the study. Knowing the efficiency reduction over time will aid in minimizing cleaning expenses by selecting the most appropriate cleaning interval. The results concluded that in January, February, November, and December, there will be a two-month cleaning period, monthly cleaning in March and October, as well as two weeks of cleaning in April and May. It may also be concluded that the plant should be cleaned weekly throughout the months of June, July, August, and September. This recommendation is necessary to maintain the PV panel plant operating at peak efficiency.

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Section: Introductionmentioning

confidence: 99%

The Effects of Soiling and Frequency of Optimal Cleaning of PV Panels in Palestine

et al. 2022

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Design and Simulation of Structural Components of Affordable, Automated Solar Panel Cleaning Mechanism

Jain

Singh

2022

Lecture Notes in Mechanical Engineering

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

et al. 2022

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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 ($$P_{out}$$ P out ) and dust-fall factor. For model validation, we conducted an experiment of taking one set of Monocrystalline PV (mono) on a $$340\frac{W}{m^{2}}$$ 340 W m 2 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 $$P_{out}$$ 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 $$P_{out}$$ 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 $$R^{2}=0.744$$ R 2 = 0.744 or a strong negative quadratic relationship between $$P_{out}$$ P out 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.

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A Low Cost Automated Cleaning System for Photovoltaic Panels

Cited by 4 publications

References 3 publications

The Effects of Soiling and Frequency of Optimal Cleaning of PV Panels in Palestine

The Effects of Soiling and Frequency of Optimal Cleaning of PV Panels in Palestine

Design and Simulation of Structural Components of Affordable, Automated Solar Panel Cleaning Mechanism

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

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