Issue |
E3S Web Conf.
Volume 180, 2020
9th International Conference on Thermal Equipments, Renewable Energy and Rural Development (TE-RE-RD 2020)
|
|
---|---|---|
Article Number | 02019 | |
Number of page(s) | 7 | |
Section | Renewable Energy | |
DOI | https://doi.org/10.1051/e3sconf/202018002019 | |
Published online | 24 July 2020 |
The generation of a mathematical model of the biogas production process from organic municipal solid waste
1
AUPET named after G. Daukeev, 050000 Almaty, Kazakhstan
2
University of Ruse, Department of Thermotechnics, Hydraulics and Environmental Engineering 7017 Ruse, 8 Studentska Str., Bulgaria
* Corresponding author: iiliev@enconservices.com
This paper justifies the efficiency of the biogas collection and utilization at the MSW (municipal solid waste) landfill in Almaty with the installation of several modern biogas plants. The optimal mode of processes occurring in a biogas plant is determined by computer generated simulations. Mathematical model parameters were identified to describe biochemical processes occurring in a biogas plant. Two approaches are used to resolve the mathematical model: the finite-difference method for solving the system of differential equations and simulation modeling by using the Any Logic package. A program is written in the algorithmic language C ++. Numerous calculations were carried out, the results of which are presented in curves and their qualitative picture is consistent with the ongoing processes. The created computer program allows to make a preliminary forecast of anaerobic fermentation occurring in the bioreactor depending on volume of the substrate, methane microorganisms and temperature conditions.
© 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.