IoT based Smart and Automated Solar Panel Cleaning System

G, Vinith. S.; K, Ragavapriya. R.; N, Mohamed Shameer.; Karthikeyan., S; Kavinkumar., K; Harinivash., K

doi:10.1109/icears56392.2023.10085427

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…The complete setup was controlled by an Arduino Uno R3 microcontroller. The convenience and programming simplicity of this microcontroller made it feasible to easily establish communication between the computer and the engine [14]. However, because of their high price, using Arduino series controllers with a huge-scale cleaning system is not feasible.…”

Section: Solar Panel Cleaning Methodsmentioning

confidence: 99%

A Prototype for IOT based Solar Panel Cleaning Mechanism

Badhoutiya

2023

JFSA

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The adoption of green energy sources like solar power continues to rise due to price hikes for electricity and have implications about the environmental effects of fossil fuels. Natural occurrences, such as the build-up of dust on installed photovoltaic panels' surfaces, tend to lower their electrical output, which in turn lowers their efficiency. Cleaning products are hence essential for increasing solar panels' effectiveness. Cleaning panels by hand is pricey and ineffective. A prototype of solar panel cleansing mechanism has been presented in this paper and the enhanced output power after its implementation has been recorded. This strategy seeks to increase the effectiveness of by removing any kind of dust on solar cells. The proposed work includes a cloud server that uses the internet of things (IoT) to provide global live status monitoring. It ca n be entirely automated by the assistance of robotics and the Internet of Things. A mechanised cleaning system is more effective and uses less water. The unit can function both directly and electronically owing to sensors, microcontrollers, and other components.

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Section: Solar Panel Cleaning Methodsmentioning

confidence: 99%

A Prototype for IOT based Solar Panel Cleaning Mechanism

Badhoutiya

2023

JFSA

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Analysis of Soiling Measurement Systems and Cleaning Methods of Solar Photovoltaic Modules

Badalyan

2024

Proceedings of National Polytechnic University of Armenia. ELECTRICAL ENGINEERING, ENERGETICS

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Enhancing the efficiency of photovoltaic solar energy converters is of paramount importance. This study presents a comprehensive analysis of soiling measurement systems and cleaning methods for photovoltaic modules aimed at improving their efficiency. The research highlights the significant impact of dust and dirt accumulation on the surface of PV modules, which can reduce efficiency by more than 35%. Various soiling measurement systems are discussed, including optical systems and systems using paired photovoltaic modules, along with their respective advantages and disadvantages. The analysis also covers different cleaning methods, such as natural cleaning, manual cleaning, automated cleaning, and self-cleaning coatings. Each method's benefits and drawbacks are examined in terms of efficiency, cost, and applicability. The integration of digital technologies and automation, including artificial intelligence and IoT systems, is identified as a promising direction for future development in the field of solar panel soiling measurement and cleaning systems. This study provides valuable insights and comparative analyses for researchers, solar energy professionals, and solar plant owners to enhance the efficiency, longevity, and economic returns of photovoltaic installations. The implementation of efficient cleaning methods and advanced soiling measurement systems can lead to significant increases in the efficiency and durability of solar modules, as well as environmental benefits by reducing dependence on fossil fuels.

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IoT based Smart and Automated Solar Panel Cleaning System

Cited by 2 publications

References 8 publications

A Prototype for IOT based Solar Panel Cleaning Mechanism

A Prototype for IOT based Solar Panel Cleaning Mechanism

Analysis of Soiling Measurement Systems and Cleaning Methods of Solar Photovoltaic Modules

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