Smart Solar Photovoltaic Panel Dust Monitoring System Using Internet of Thing (IoT)

Authors

  • Siti Nur Afifah Mohd Suhaimi Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia
  • Mohd Nasri Jasmie Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia
  • Nor Aira Zambri Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia
  • Omar Abu Hassan Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia
  • Farahiyah Mustafa Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia
  • Sim Sy Yi Department of Electrical Power Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Batu Pahat, Malaysia.
  • Norhafiz Salim Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Jalan Hang Tuah Jaya,Durian Tunggal, Melaka, 76100, Malaysia.

DOI:

https://doi.org/10.37934/aram.123.1.1530

Keywords:

Dust sensor, PV monitoring, ESP32, PV

Abstract

Photovoltaic technology has become one of the most popular ways of generating power from renewable energy sources. Solar panels are solely responsible for generating the maximum amount of electricity. One of the reasons to be rectified is the lack of equipment or systematic monitoring of solar panels. Due to their surface being covered with dust and not being cleaned for a long time, solar panels can get damaged and become unable to generate electricity. This project investigates the factors of dust that impact photovoltaic module performance and designs an intelligent monitoring system. The project aims to develop a monitoring system that allows users to use their smartphones to monitor the cleanliness of solar panels. This monitoring kit includes a dust sensor component as data input and a NodeMCU ESP32 microcontroller that receives, processes, and sends data to the Blynk application. The project enables the owners to monitor their solar panels in real-time. The results show that solar panel performance has decreased by 61% when the reading value of dust sensor 1 is 47%, dust sensor 2 is 30%, dust sensor 3 is 53%, and dust sensor 4 is 50%. The benefits of this project are that solar panel maintenance will be more systematic, ensuring solar panels can generate the maximum electricity, and they are not easily damaged, thus increasing the lifespan of solar panels.

Author Biographies

Siti Nur Afifah Mohd Suhaimi, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

nrafifahsuhaimi@gmail.com

Mohd Nasri Jasmie, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

nasri.emsb@gmail.com

Nor Aira Zambri, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

aira@uthm.edu.my

Omar Abu Hassan, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

omarh@uthm.edu.my

Farahiyah Mustafa, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussien Onn Malaysia, UTHM Kampus Pagoh, Hab Pendidikan Tinggi Pagoh, KM 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

farahiyah@uthm.edu.my

Sim Sy Yi, Department of Electrical Power Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Batu Pahat, Malaysia.

sysim@uthm.edu.my

Norhafiz Salim, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Jalan Hang Tuah Jaya,Durian Tunggal, Melaka, 76100, Malaysia.

Norhafiz@utem.edu.my

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Published

2024-08-30

How to Cite

Mohd Suhaimi, S. N. A., Jasmie, M. N. ., Zambri, N. A. ., Hassan, O. A., Mustafa, F., Yi, S. S., & Salim, N. . (2024). Smart Solar Photovoltaic Panel Dust Monitoring System Using Internet of Thing (IoT). Journal of Advanced Research in Applied Mechanics, 123(1), 15–30. https://doi.org/10.37934/aram.123.1.1530

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Articles