Design and implementation of a waterless solar panel cleaning system

Manual cleaning of large solar installations is often labor-intensive and time-consuming, primarily due to the accumulation of dust on solar panels, which significantly impairs their efficiency. The study introduces a novel, waterless, cost-effective automatic cleaning system for small solar panels. The rationale behind this innovation stems from the necessity to mitigate efficiency losses caused by dirt and contaminants on solar surfaces. The automated system employs an Arduino microcontroller enhanced with a real-time clock to optimize cleaning schedules based on environmental conditions. The system consists of a two-stage mechanism which includes an ejector blower that produces a strong air jet, complemented by a flexible brush that effectively removes dust as well as sticky dirt. Cleaning intervals are strategically determined to ensure consistent maintenance without manual intervention, thus maximizing energy output. Tests on a 60 W solar panel revealed an impressive average power output increase of 26.23 % following cleaning. This prototype demonstrates the efficacy of the cleaning approach and underscores its potential to alleviate efficiency losses attributed to dust accumulation. Particularly advantageous in arid regions where water conservation is paramount, this automated system enhances energy production and operational efficiency for solar plant operators, promoting sustainable energy practices. • An automatic, waterless, and economical solar panel cleaning system was designed. • The system uses an ejector blower for air jet cleaning and a flexible brush for dust sweeping, ensuring efficient cleaning. • The system recorded a significant 26.23 % average increase in power output and reduced losses due to dust accumulation.

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Publication Details

Journal
Unconventional Resources
Published
2024-11-26
DOI
https://doi.org/10.1016/j.uncres.2024.100131
Citations
12
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
1.23

Funders

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article

Design and implementation of a waterless solar panel cleaning system

Daramy Vandi Von Kallon, Chika Oliver Ujah, Kingsley C. Nnakwo, Charity M. Nkinyam et al.
12 citations
Unconventional Resources
Photovoltaic System Optimization Techniques
1.23
article

Design and implementation of a waterless solar panel cleaning system

Daramy Vandi Von Kallon, Chika Oliver Ujah, Kingsley C. Nnakwo, Charity M. Nkinyam, Obiora Ezeudu, Ikechukwu Ike-Eze C. Ezema
article en
12 citations

Abstract

Manual cleaning of large solar installations is often labor-intensive and time-consuming, primarily due to the accumulation of dust on solar panels, which significantly impairs their efficiency. The study introduces a novel, waterless, cost-effective automatic cleaning system for small solar panels. The rationale behind this innovation stems from the necessity to mitigate efficiency losses caused by dirt and contaminants on solar surfaces. The automated system employs an Arduino microcontroller enhanced with a real-time clock to optimize cleaning schedules based on environmental conditions. The system consists of a two-stage mechanism which includes an ejector blower that produces a strong air jet, complemented by a flexible brush that effectively removes dust as well as sticky dirt. Cleaning intervals are strategically determined to ensure consistent maintenance without manual intervention, thus maximizing energy output. Tests on a 60 W solar panel revealed an impressive average power output increase of 26.23 % following cleaning. This prototype demonstrates the efficacy of the cleaning approach and underscores its potential to alleviate efficiency losses attributed to dust accumulation. Particularly advantageous in arid regions where water conservation is paramount, this automated system enhances energy production and operational efficiency for solar plant operators, promoting sustainable energy practices. • An automatic, waterless, and economical solar panel cleaning system was designed. • The system uses an ejector blower for air jet cleaning and a flexible brush for dust sweeping, ensuring efficient cleaning. • The system recorded a significant 26.23 % average increase in power output and reduced losses due to dust accumulation.

Unconventional ResourcesVol. 5
University of Nigeria (NG), Nnamdi Azikiwe University (NG), University of Victoria (CA), University of Johannesburg (ZA)
University of Johannesburg
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Photovoltaic System Optimization Techniques
1.23
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