Thailand Electrical Engineering Journal (TEEJ)

Identification of Fractional-order DC Motor Model by Bat Algorithm

DANUPON KUMPANYA — 2025-04-25

This paper, Identification of Fractional-Order DC Motor Model by Bat Algorithm (BA) proposes one of the most efficient meta-heuristic optimization techniques in searching value of the parameters. The BA is based on the echolocation behaviour of micro bats in varying pulse emission and loudness. The DC motor was tested in the laboratory to collect important data such as the step input signal and output signal of the DC motor. As the results, it was found that the BA can provide the optimal parameters of the DC motor in both integer-order and fractional-order models appropriately. However, the fractional-order model is more accurate than the integer-order model.

Development of Smart Electric Energy Consumption Metering in Building with IoT

Sarun Duangsuwan — 2025-04-25

Electricity consumption in buildings has been continuously increasing. Efficient energy management is important. Developing a smart meter system can assist users in monitoring and controlling energy consumption more conveniently. This paper presents the development of a smart meter system for measuring electricity usage in buildings, utilizing IoT technology to enhance energy management efficiency. The developed system consists of an intelligent power measurement unit capable of accurately detecting real-time energy consumption data. The collected data is transmitted over long distances to a database via a wireless communication network. The received data is then processed and displayed in an online report. The testing phase includes a case study of energy consumption in Building A. The test results demonstrate that the system can measure and report energy consumption data accurately and efficiently, enabling users to calculate daily electricity costs appropriately.

Building Lighting Control and Monitoring System using ESP32

Atirarj Suksawad — 2025-04-25

This paper presents a lighting monitoring and control system for buildings using ESP32 to enhance energy management efficiency. The system utilizes MOC3021 and BT136 as switching components, along with a Snubber Circuit to protect against voltage surges. The ESP32 microcontroller communicates with a server and database, enabling control via both a web-based interface and a physical switch. The web interface allows users to monitor system status, toggle lights, schedule operations, and generate energy usage reports in PDF and Excel formats. Experimental results confirm that the system operates efficiently and is well-suited for smart building applications.

Simultaneous Lightwave Information and Power Transfer Systems utilizing Indoor LED Illumination

Tanaporn Pechrkool — 2025-04-25

research presents the design, development, and testing of a simultaneous lightwave information and power transfer (SLIPT) system utilizing indoor LED illumination. The proposed system consists of an visible light transmitter and receiver integrated with a microcontroller. The transmitter continuously measures and transmits real-time temperature and humidity data through free-space optical communication, functioning as a node in a wireless sensor network. Meanwhile, the receiver decodes the transmitted data and harvests energy from light using a photodiode and an optical signal reception circuit. Additionally, the receiver is equipped with a solar cell, a BQ25504 power management circuit, and a battery to store harvested energy, ensuring continuous operation. Experimental results demonstrate that the system can successfully transfer temperature and humidity data with a bit error rate of less than 50% at a communication distance of up to 130 cm, with a maximum data rate of 250 bps. Furthermore, the system exhibits strong resistance to ambient light interference. In terms of energy harvesting, the system operates efficiently at distances up to 50 cm under an illumination intensity of at least 1200 lux. Based on these findings, this system can serve as a foundation for future advancements in SLIPT technology, particularly for applications in indoor wireless sensor networks and low-power Internet of Things (IoT) devices that rely on alternative energy sources.