Analysis of an automated solar panel cleaning robot on photovoltaics (PV) module frames with composites materials
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Murshiduzzaman
, Azizan As’arry
, Lim Wei Keong
, Mohd Zuhri Mohamed Yusoff, Mohd Sapuan Salit
, Eris Elianddy Supeni
, Wan Zuha Wan Hasanand Hanafiah Yussof
Abstract
Solar panels are essential for harvesting clean energy from the sun, but dust collection can dramatically limit their efficiency and power output. This challenge has led to the development of automated solar panel cleaning robots, a promising solution to ensure the continuous and optimal performance of solar arrays. One concern is that the cleaning method can cause long-term damage or degradation to the panels, such as cracking, if the cleaning robot is not positioned correctly on the solar panel. The risk of damage or degradation to solar panels during the cleaning process is a significant consideration for both manufacturers and operators of solar installations. Automated solar panel cleaning robots are valuable tools in maintaining the efficiency and longevity of solar arrays. However, their deployment requires a balanced approach that prioritizes effective cleaning while minimizing the risk of damage to the panels.
Funding source: Universiti Putra Malaysia (UPM)
Award Identifier / Grant number: 800-2/1/2021/GP-IPS/9697000
Acknowledgement
The authors would like to thank the editors S.M. Sapuan, Mohd Roshdi Hassan, Eris Elianddy Supeni and Azizan As’arry for their guidance and review of this article before its publication. The authors would like to thank Universiti Putra Malaysia (UPM) and the Malaysian Ministry of Higher Education (MOHE) for their continuous support in this research work. This work was supported in part by the Geran Insentif Putra Siswazah (GP-IPS) fund (800-2/1/2021/GP-IPS/9697000).
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: The author has accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: I acknowledge the use of ChatGPT to improve the academic language and clarity of this manuscript. These tools were employed to refine sentence structure, enhance readability, and ensure precision in language while preserving the integrity of the original ideas. All outputs were critically reviewed and modified to align with the intended purpose of this work.
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Conflict of interest: The author states no conflict of interest.
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Research funding: The authors would like to thank Universiti Putra Malaysia (UPM) and the Malaysian Ministry of Higher Education (MOHE) for their continuous support in this research work. This work was supported in part by the Geran Insentif Putra Siswazah (GP-IPS) fund (800-2/1/2021/GP-IPS/9697000).
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Data availability: Not applicable.
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Articles in the same Issue
- Frontmatter
- Reviews
- Inhaled aerosols as carriers of pulmonary medicines and the limitations of in vitro–in vivo correlation (IVIVC) methods
- Analysis of an automated solar panel cleaning robot on photovoltaics (PV) module frames with composites materials
- Mechanical and thermal properties of graphene reinforced poly (lactic acid) composites for battery casing in electric vehicles
- Precision medicine in hypothyroidism: an engineering approach to individualized levothyroxine dosing
- Advancements in composite materials for energy harvesting
- Model-based dose selection for gene therapy for haemophilia B