A numerical modelling using ADM1 model in the co-anaerobic digestion of food waste with varying fat fractions to generate biogas

The impact of different fat contents and different degrees of hydrolysis on the anaerobic digestion process and the production of biogas is the subject of this paper and the evaluation is conducted with the aid of the ADM1 model. Anaerobic digestion is one of the most important steps of the biogas production from organic wastes and it contains mainly methane (CH₄) and carbon dioxide (CO₂). The study shows clearly that each concentration of fat improves methane production with 15% fat concentration giving the highest output at a rate of 0.75 m³/kg at day 20 as compared to the 0.10 m³/kg from 0% fat concentrations. Also, the extent of hydrolysis profoundly predicts the degradation of the complex organic material; the greatest hydrolysis rate of 0.25h⁻¹ gave methane of 0.70 m³/kg, which is about 75% higher than lesser rates. The existing study also shows that there was a direct relationship between the density of organic acids, hydrogen and CO₂ with the degree of fat content and rates of hydrolysis. Hence the results presented in this paper underscore the significance of defining fat and its hydrolyses in relation to the biogas production so as to improve the efficiency and stability of the anaerobic digestion process as the complex organic matters diminish. What this research offers is knowledge indispensable to enhancing the efficiency of energy extraction from organic waste, thereby enriching the contemporary discourse on waste management.

Institutions

Publication Details

Journal
Al Rafidain Journal of Engineering Sciences
Published
2025-02-21
DOI
https://doi.org/10.61268/sb67c125
Citations
1
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A numerical modelling using ADM1 model in the co-anaerobic digestion of food waste with varying fat fractions to generate biogas

1 citations
Al Rafidain Journal of Engineering Sciences
Food Waste Reduction and Sustainability
1.16
article

A numerical modelling using ADM1 model in the co-anaerobic digestion of food waste with varying fat fractions to generate biogas

article en
1 citations

Abstract

The impact of different fat contents and different degrees of hydrolysis on the anaerobic digestion process and the production of biogas is the subject of this paper and the evaluation is conducted with the aid of the ADM1 model. Anaerobic digestion is one of the most important steps of the biogas production from organic wastes and it contains mainly methane (CH₄) and carbon dioxide (CO₂). The study shows clearly that each concentration of fat improves methane production with 15% fat concentration giving the highest output at a rate of 0.75 m³/kg at day 20 as compared to the 0.10 m³/kg from 0% fat concentrations. Also, the extent of hydrolysis profoundly predicts the degradation of the complex organic material; the greatest hydrolysis rate of 0.25h⁻¹ gave methane of 0.70 m³/kg, which is about 75% higher than lesser rates. The existing study also shows that there was a direct relationship between the density of organic acids, hydrogen and CO₂ with the degree of fat content and rates of hydrolysis. Hence the results presented in this paper underscore the significance of defining fat and its hydrolyses in relation to the biogas production so as to improve the efficiency and stability of the anaerobic digestion process as the complex organic matters diminish. What this research offers is knowledge indispensable to enhancing the efficiency of energy extraction from organic waste, thereby enriching the contemporary discourse on waste management.

Al Rafidain Journal of Engineering SciencesVol. 3(1)
University of Mazandaran (IR)
Openalex Percentile: Top 24%
Food Waste Reduction and Sustainability
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.