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a Design of an IoT-Based Control and Monitoring System for a Biogas Power Generation Plant Using POME Waste from Palm Oil Mills: a Design of an IoT-Based Control and Monitoring System for a Biogas Power Generation Plant Using POME Waste from Palm Oil Mills Asminar Asminar; Rifki Rifki; Akhyar Muchtar; Abdul Djohar; Agustinus Lolok; Mustarum Musaruddin; Hasmina Tari Mokui; Adhi Setiawan Samsul
Journal of Renewable Energy and Smart Device Vol. 4 No. 1 August 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v4i1.1054

Abstract

Palm Oil Mill Effluent (POME) contains a high organic load that can be converted into biogas through anaerobic digestion and subsequently utilized for electricity generation. However, maintaining stable digester conditions requires an integrated monitoring and control system capable of observing critical operating parameters. This study presents a conceptual design and theoretical assessment of an Internet of Things (IoT)-based monitoring and control system for a POME-based biogas power plant. The proposed architecture integrates an anaerobic digester, gas holder, biogas generator, ESP32 microcontroller, temperature, pressure, methane concentration, and gas flow meter, cloud communication through MQTT/HTTP protocols, and web- and mobile-based dashboards. A threshold-based control strategy is proposed to regulate gas pressure and digester temperature. This study did not include physical system implementation or experimental field testing. Based on the adopted design assumptions, processing 300 metric tons of fresh fruit bunches generates approximately 240 m³ of POME and 6,000 m³ of biogas. Using a methane fraction of 60%, a methane calorific value of 35.7 MJ/m³, and a fixed generator efficiency of 35%, the theoretical electrical energy output is estimated at 12,495 kWh per production cycle. The proposed design provides an integrative framework for future prototype development and experimental validation of IoT-based monitoring and control in POME biogas power plants.
Smart measurement revolution using long range technology and HLW8012 sensor integration Isminarti Isminarti; Nanang Roni Wibowo; Asminar Asminar; Mohamad Ilyas Abas; Muhammad Ali Chandra; Nur Azhary Iriawan Eka Putra; Widya Wisanty; Fauziah Fauziah; Deny Wiria Nugraha; Chaira Saidah Yusrie
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.10823

Abstract

Long range (LoRa) has advantages compared to other communication systems such as power line control (PLC), narrowband internet of things (NB-IoT), and Sigfox. The advantage of low power consumption is the implementation and reliability of LoRa communication systems across all segments of smart grid (SG) and home automation applications. Parameters of the reliability of the communication system can also be seen from the maximum distance, signal strength, and network quality in indoor and outdoor conditions as well as different heights and levels of signal collisions when transmitted. This study aims to utilize unlicensed LoRa Shield SX1276 on the 915 MHz frequency spectrum for SG communication networks to monitor messages in the form of current, voltage, and power factor using the HLW8012 sensor. This research produces a complete LoRa communication system monitoring product according to the information needed by the user.