| Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
|
|---|---|---|
| Article Number | 08003 | |
| Number of page(s) | 10 | |
| Section | Renewable Energy Development | |
| DOI | https://doi.org/10.1051/e3sconf/202020208003 | |
| Published online | 10 November 2020 | |
Enhancement of biogas production from rice husk using mechanical pretreatment (grinding) in Liquid Anaerobic Digestion (L-AD)
1 Environmental Engineering Department, Faculty of Engineering, Diponegoro University, Semarang, 50275, Indonesia
2 Environmental Science, Faculty of Mathematic and Natural Science, Sebelas Maret University, Surakarta, Indonesia
3 Chemical Engineering Department, Faculty of Engineering, Diponegoro University, Semarang, 50275, Indonesia
* Corresponding author: udin_syaf@yahoo.com
Biogas technology is an alternative solution to the energy crisis issue in Indonesia. This study focuses on determining the optimum value of grind size variations in biogas production using the Liquid Anaerobic Digestion (L-AD) from rice husk waste. It is consists of the preparation stage, total solids calculation, the operation phase, and results analysis. The rice husk is collected from Rowosari village, and it has been pre-treated by 6% NaOH of chemical pre-treatment. The physical treatment uses numerous grind sizes, including un-grinded rice husk as control, and the 10 mesh, 18 mesh, 35 mesh, 60 mesh of rice husk as an observed variable. All variables are duplicate into 12 reactors, and the biogas production is observed by collecting gas volume in each reactor for 60 days. The calculated biogas is expressed by ml/grTS. The result shows that the grind size of 10 mesh, 18 mesh, 35 mesh, and 60 mesh rice husk produces a total biogas rate of 54.95, 44.86, 58.13, and 72.14 ml/grTS respectively. The rice husk control produces 9.67 ml/gr TS as the lowest rate of biogas production compared to the others, while the 60 mesh rice husk becomes the highest biogas production rate.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.