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Journal : Bulletin of Electrical Engineering and Informatics

Reliability and performance analysis of a mini solar home system installed in Indonesian household Prisma Megantoro; Hafidz Faqih Aldi Kusuma; Sinta Adisti Reina; Abdul Abror; Lilik Jamilatul Awalin; Yusrizal Afif
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3335

Abstract

During the COVID-19 pandemic since early 2020 in Indonesia, the demand for electrical energy in the housing sector has increased significantly. This is due to the government’s recommendation to reduce activities on the outside and work from home, specifically for educational and entertainment activities. Those are almost recommended to be done online. Many people complain about the increase in monthly electricity payments compared to before the pandemic. The construction of solar power plants in housing/solar home systems (SHS) will reduce the electricity consumption from the public grid. This SHS installation can be used to supply some household electricity needs, such as computers, televisions, internet facilities, lighting, et cetera. In this article, the researchers discuss the performance testing of SHS with a capacity of 300 Wp. It is installed in the house buildings accompanied by the design and measurement of solar energy potential.
Autonomous and smart cleaning mobile robot system to improve the maintenance efficiency of solar photovoltaic array Prisma Megantoro; Abdul Abror; Muhammad Akbar Syahbani; Antik Widi Anugrah; Sigit Dani Perkasa; Herlambang Setiadi; Lilik Jamilatul Awalin; Pandi Vigneshwaran
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5950

Abstract

A solar photovoltaic (PV) array is part of a PV power plant as a generation unit. PV array that are usually placed on top of buildings or the ground will be very susceptible to dirt and dust. Thus, this dirt and dust will be able to reduce the performance and work efficiency of the generation unit. Cleaning PV arrays by manpower requires high effort, cost, and risk, especially in higher location. This study presents the design of a mobile robot that is used to replace human labor to clean PV arrays. That way, the PV array maintenance steps can reduce operational costs and risks. This intelligent controlled mobile robot can maneuver safely and efficiently over PV arrays. gyroscope and proximity sensors are used to detect and follow the sweep path over the entire PV array area. Proportional integral derivative (PID) control test makes the robot can stabilize in about 5.72 seconds to keep on the track. The smart PV cleaning robot has average operation time about 13 minutes in autonomous mode and 20-24 minutes in manual mode. The operation of the robot is effective to give more efficiency on the use of energy, time, and maintenance costs of PV array system.