BIO Web Conf.
Volume 62, 20232023 5th International Conference on Environment, Resources and Energy Engineering (EREE 2023)
|Number of page(s)||8|
|Section||Waste Valorization and Waste-to-Energy|
|Published online||07 July 2023|
Experimental approach of producing biogas from fallen leaves with co-digestion
Islamic University of Technology, Boardbazar-1704, Gazipur, Bangladesh
* Corresponding author: firstname.lastname@example.org
The present study assessed the feasibility of producing biogas from fallen tree leaves. This study provides valuable insights into utilizing locally available organic waste materials for biogas production and contributes to developing sustainable biogas systems. Four species of tree leaves, namely Jackfruit (Artocarpus heterophyllus), Mango (Mangifera indica), Mahogany (Swietenia macrophylla), and Teak (Tectona grandis) were selected for this experiment. The study employed co-digestion as a strategy, with cow-dung (Bos taurus) at 1% (w/v) added to the leaf mixture. Urea was used to control the pH of the mix, and the experiment was conducted in 2-litre digester bottles. The results revealed that the biogas yield from the tree leaves was highly dependent on the species used. Teak leaves had the highest methane yield at 64.3%, followed by Jackfruit leaves at 62.2%, and the lowest yield was observed from Mango leaves. Adding of cow-dung to the mixture of tree leaves enabled the biogas yield, confirming the significance of co-digestion for biogas production. The study also found that pH control was crucial in optimizing biogas yield, with urea effectively maintaining the pH within the desired range of 5.5 to 7.3.
© The Authors, published by EDP Sciences, 2023
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.