A Review on Solar Panel Cleaning Systems and Techniques

Najmi, Nouhaila; Rachid, Ahmed

doi:10.3390/en16247960

Cited by 9 publications

(3 citation statements)

References 41 publications

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“…Photovoltaic (PV) solar panel water-based cleaning technology is a specially designed equipment that uses water as the main agent to clean the solar panel, as shown in picture 3. [7] These machines are designed to keep solar panels clean and free of dirt, dust, debris and other contaminants that can reduce their performance. To increase photovoltaic efficiency, it is necessary to combine the maximum power point detection (MPPT) feature of photovoltaic panels with different dust and temperature.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

Solar Panel Sun-Rays Tracking and Cleaning System for Improvement in Power Efficiency

Parshwa Pravin Patil

2024

jes

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There is an increasing need to reduce greenhouse gas emissions and find more environmentally friendly ways to power the planet. An estimated 4 billion years will pass before the sun stops shining, making it a renewable natural power source. A sustainable method of generating electricity from the sun's energy is offered by solar power systems. In comparison with single axis solar tracker, a dual axis solar tracker tracks the sun at every instance hereby increasing the efficiency by 30-35%. In this system we have a solar panel which tracks the position of the sun and always try to remain perpendicular to sun rays. It will track the sun in all four directions i.e east-west and north-south. This paper focus more on Design of Dual tracking system, which includes installation of GPS and RTC system, stored energy usage for application , periodic cleaning in order to maintain efficiency of panel and comparative analysis of stored energy. Alternative, less expensive options have been suggested because the solar tracking equipment is expensive to manufacture.The goal of this effort is to create a solar dual tracking system model that includes solar panel cleaning as well.

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Section: Analysis Of Resultsmentioning

confidence: 99%

Solar Panel Sun-Rays Tracking and Cleaning System for Improvement in Power Efficiency

Parshwa Pravin Patil

2024

jes

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“…Implementing data science and machine learning in a solar PV panel cleaning system could be a remarkable advancement in the field of renewable energy. Najmi, N [12] This paper provides an overview of the cleaning aspects of solar panels. We first discuss the drawbacks of unwanted deposits on solar panels in terms of energy production and efficiency.…”

Section: Review Of Literaturementioning

confidence: 99%

Integrating Simulink and Arduino for Optimized Solar Tracking Systems: A Methodological Approach for Enhanced Renewable Energy Utilization

Roj,

Vijayakumar,

Hemalatha

et al. 2024

Int. J. Res. Publ. Rev.

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This research offers a complete approach to integrating Simulink and Arduino in the context of solar tracking systems. The methodology encompasses several systematic steps that seek to achieve precise orientation of solar panels and efficient energy capture. Commencing from data acquisition in real time involving measurement of azimuth and elevation angles by sensors, it proceeds to develop a Simulink model, including solar position algorithms. This model produces reference signals for a Proportional-Integral (PI) controller, which directs the positioning of solar panels. By integrating with an Arduino microcontroller, it becomes possible to achieve accurate motor control, thus allowing continual adjustment of panel orientation according to signals generated by Simulink. In addition, equations for torque calculation and motor control are used to effect proper alignment with the sun's trajectory.Moreover, this methodology also addresses how cleaning mechanisms such as air blowers or water sprayers can be integrated to maintain optimal panel efficiency.To evaluate the effectiveness of an integrated system, thorough testing and validation, including simulating Simulink and real-world experimentations, are done.Continuous optimization efforts seek to improve tracking accuracy, energy efficiency, and cleaning performance step-by-step. This methodology, on the whole, is helpful as it offers systematic steps to develop and optimize solar tracking systems and provides direction for using Simulink/Arduino to enhance renewable energy utilization.

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“…The researchers developed an automated solar panel cleaning system using IoT, providing transparency and control through a mobile application. This system demonstrated a 32% increase in energy output compared to dusty solar panels, offering a cost-effective and scalable solution with reduced manpower requirements [19]. Integration with IoT applications allows for real-time monitoring and activation of cleaning instructions when needed, reducing external impedance and enhancing solar panel performance by up to 22% [20].…”

Section: Introductionmentioning

confidence: 99%

Smart solar maintenance: IoT-enabled automated cleaning for enhanced photovoltaic efficiency

Ramalingam,

Kathirvel,

Adaikalam

et al. 2024

IJEECS

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This innovative project aims to increase the effectiveness and user experience of solar panel systems by introducing a state-of-the-art dust and speck removal system. Leveraging cutting-edge technology, the system demonstrates a remarkable 32% increase in power output compared to dirty solar panels. The approach is characterized by its reliance on the universe as the system controller, reducing the need for manual intervention and minimizing the workforce required for panel cleaning. The proposed timed system utilizes water and wipers, facilitated by internet of things (IoT) technology, microcontrollers, and sensor modules for efficient and automated operation. An Android application provides user control and notifications about ongoing processes. The system’s adaptability for various settings is emphasized, offering a portable solution. The smart IoT based automatic solar panel cleaning ensures reliable performance, underscoring the project’s commitment to improve scalability, cost-efficiency, performance, integrity, and consistency.

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A Review on Solar Panel Cleaning Systems and Techniques

Cited by 9 publications

References 41 publications

Solar Panel Sun-Rays Tracking and Cleaning System for Improvement in Power Efficiency

Solar Panel Sun-Rays Tracking and Cleaning System for Improvement in Power Efficiency

Integrating Simulink and Arduino for Optimized Solar Tracking Systems: A Methodological Approach for Enhanced Renewable Energy Utilization

Smart solar maintenance: IoT-enabled automated cleaning for enhanced photovoltaic efficiency

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