Sustainable Biogas Generation Modeling for Climate Change Mitigation: Regression Analysis of Renewable Feedstocks Using C/N Ratio and Volatile Solids Content

The study presents a comprehensive assessment of biogas production from renewable organic feedstocks, specifically cow dung, pig dung, poultry droppings, and cassava peels. A simplified linear regression model was employed to evaluate the influence of two key biochemical parameters—the volatile solids (VS) content and carbon-to-nitrogen (C/N) ratio —on biogas yield (m3/kg). The results reveal a strong predictive relationship (R2 = 0.994), confirming that feedstocks with higher VS contents and lower C/N ratios significantly enhance biogas generation. The developed model provides a reliable and accessible framework for optimizing feedstock selection and anaerobic digestion performance. This research advances sustainable bioenergy practices and aligns with global initiatives promoting renewable energy development and climate change mitigation.