| Issue |
BIO Web Conf.
Volume 161, 2025
International Scientific and Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2024)
|
|
|---|---|---|
| Article Number | 00013 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/bioconf/202516100013 | |
| Published online | 27 February 2025 | |
Optimisation of anaerobic digestion of agricultural waste by simulation modelling
1 Admiral Ushakov Maritime State University, Novorossiysk, 353924, Russia
2 Kuban State Agrarian University named after I. T. Trubilin, Krasnodar, Russia
3 Azov-Black Sea Engineering Institute – branch of Don State Agrarian University in Zernograd, Zernograd, Russia
* Corresponding author: almasenko@yandex.ru
The article deals with the problem of agricultural waste processing, focusing on anaerobic digestion for biogas and fertiliser production. The study is devoted to the optimisation of this process on the example of poultry manure, using a simulation-statistical approach. The developed model of the biotechnological system includes waste separation into fractions, pre-digestion, methane digestion and anaerobic filtration. Substrate loading dose and substrate moisture content were found to have the greatest influence on energy release. Experiments showed that an increase in loading dose leads to an increase in biogas yield. Modelling allowed us to obtain an energy release equation that takes into account humidity, loading dose and digestion temperature. The maximum energy yield is achieved at a certain combination of these parameters. The study also showed that the use of the proposed biotechnological system can contribute to meeting part of the region’s heat energy needs through the production of biogas from waste. Measures to optimise waste collection and processing, including the formation of databases and simulation modelling, have been proposed.
© The Authors, published by EDP Sciences, 2025
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.
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