Development of IoT Based Monitoring of Anaerobic Biogas Production
- DOI
- 10.2991/978-94-6463-364-1_12How to use a DOI?
- Keywords
- biogas; anaerobic; batch; internet of things; renewable energy
- Abstract
Biogas is a mixture of gases produced from the fermentation process of organic matter derived from animal waste. This research uses a measurement system to monitor conditions in the biogas reactor. Three variations were carried out, namely 1:1:0 (variation 1); 1:1:0.1 (variation 2); 1:0.5:0.2 (variation 3) ratios of cow dung, water and EM4 mixture. Monitoring was carried out using a digital thermometer to detect temperature, the MQ-4 sensor to detect methane gas, the MG-811 sensor to detect carbon dioxide gas, and the MQ-136 sensor to detect hydrogen sulfide (H2S). In variation 1 produces 12650.342 mg/m3 of methane content, in variation 2 produces 15042.905 mg/m3 of methane and in variation 3 produces 3198.674 mg/m3 of methane content. Overall, methane levels always increase and tend to be constant. This is in accordance with the theory. Where the peak formation of biogas occurs on day 7–15. The biogas combustion test requires a large gas pressure. Therefore, it is advisable to use plastic for the gas holder in order to adjust the gas pressure. Monitoring the gas content in the tank obtained from the sensor is displayed on the Blynk platform using a communication module that can be accessed on a smartphone or gadget.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Rif’ah Amalia AU - Prima Dewi Permatasari AU - Aulia Lailatul Fitri AU - Hendrik Elvian Gayuh Prasetya AU - Fifi Hesty Sholihah PY - 2024 DA - 2024/02/17 TI - Development of IoT Based Monitoring of Anaerobic Biogas Production BT - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023) PB - Atlantis Press SP - 105 EP - 120 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-364-1_12 DO - 10.2991/978-94-6463-364-1_12 ID - Amalia2024 ER -