Mathematical Modeling for Evaluating the Sustainability of Biogas Generation through Anaerobic Digestion of Livestock Waste
Yermek Abilmazhinov,
Kapan Shakerkhan,
Vladimir Meshechkin,
Yerzhan Shayakhmetov,
Nurzhan Nurgaliyev and
Anuarbek Suychinov ()
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Yermek Abilmazhinov: Department of Mechanical Engineering, Shakarim University of Semey, Semey 071412, Kazakhstan
Kapan Shakerkhan: Department of Technical Sciences and Informatics, Alikhan Bokeikhan University, Mangilik El 11, Semey 071400, Kazakhstan
Vladimir Meshechkin: Institute of Fundamental Sciences, Kemerovo State University, Krasnaya 6, 650000 Kemerovo, Russia
Yerzhan Shayakhmetov: Department of Mechanical Engineering, Shakarim University of Semey, Semey 071412, Kazakhstan
Nurzhan Nurgaliyev: Department of Mechanical Engineering, Shakarim University of Semey, Semey 071412, Kazakhstan
Anuarbek Suychinov: Kazakh Research Institute of Processing and Food Industry (Semey Branch), Semey 071410, Kazakhstan
Sustainability, 2023, vol. 15, issue 7, 1-14
Abstract:
The paper investigates the mathematical modeling of anaerobic fermentation for the utilization of animal wastes. It analyzes various approaches to the mathematical modeling of anaerobic digestion processes. However, most of the models previously proposed do not take into account a number of key parameters such as the levels of micro and macronutrientls (such as K, Na, Ca, Mg, Mo, etc.), values of volatile fatty acids, C/N ratio, pH levels, extent of grinding, moisture, and others. This paper proposes a new mathematical model of anaerobic fermentation under industrial scale conditions. The model was developed on the basis of regression analysis and correlation. It found empirical relationships between biogas yield and 26 different parameters. These parameters are measured by appropriate biosensors in industrial production. Some of them have more significant influence on the fermentation process than others. Overall, the developed mathematical model has the potential to provide useful insights into biogas production and can be used to optimize anaerobic fermentation processes.
Keywords: biogas; animal waste; modelling; anaerobic digestion; regression analysis; correlation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:7:p:5707-:d:1106528
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