Simulation of Dust Impact on Solar Trees and Smart Cleaning for Efficiency Enhancement

DOI

10.2991/978-94-6463-978-0_51How to use a DOI?

Keywords

Photovoltaic; Wind Energy system; Solid oxide fuel cell; Battery Energy Storage; Modeling; Microgrid; Energy/Power management; Intelligent control methods

Abstract

Eco-friendly energy sources (Renewable sources) are being adopted more extensively because of higher power bills and concerns over the environmental impact of fossil fuels. Photovoltaic (PV) panel arrays are the primary means of capturing solar energy. Even one panel in an array loses a significant amount of energy generating efficiency when dust and debris buildup accumulate on it. This highlights the necessity of regularly keeping the panel’s surface as clean as possible to maximize its intended capacity. The current manual cleaning techniques for photovoltaic arrays are expensive, time-consuming, and do not allow for monitoring. In order to minimize the amount of land needed per watt, we created a new installation structure dubbed the solar tree and evaluated the impact of various dust types and power output. Our suggested framework only needs 5 square feet of land per kilowatt, compared to 120 square feet for matrix installation. The goal of this project is to create a new design that automatically cleans solar panels using an Internet of Things gadget. Since we are aware that cleaning a tree structure can be challenging, we developed an IoT-enabled, energy-and cost-efficient single 360° rotating arm for cleaning. This project is a smart PV panel cleaning system that offers an affordable and expandable way to get rid of dirt and grime. At a significantly lower cost than hand cleaning, it will remotely and automatically remove the filth.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sangita Patil
AU  - Pratiksha Malvatkar
AU  - Sunil Malvatkar
PY  - 2025
DA  - 2025/12/31
TI  - Simulation of Dust Impact on Solar Trees and Smart Cleaning for Efficiency Enhancement
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 599
EP  - 611
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_51
DO  - 10.2991/978-94-6463-978-0_51
ID  - Patil2025
ER  -