This study explores biogas production from potato peels and fish waste using anaerobic digestion, combining mathematical modeling, experimental analysis, and computational optimization. A Monod kinetics-based model was developed to describe substrate utilization, microbial growth, and biogas production, incorporating variables like temperature and pH. MATLAB simulations validated the model against experimental data from a continuous stirred-tank reactor (CSTR). Results demonstrated a strong correlation (R² = 0.992) between predicted and actual biogas yields. ANOVA confirmed the significant effects of substrate composition, temperature, and pH. A refined regression model revealed synergistic interactions, with higher temperatures and neutral pH enhancing production. The Design of Experiments (DoE) identified optimal conditions: 72% potato peels, 51°C, and pH 7.4, yielding a biogas rate of 0.49 L/h. The findings highlight efficient organic waste valorization, offering a sustainable energy solution. Integrating modeling and experimentation provides actionable insights for industrial and municipal biogas applications, advancing renewable energy and waste management goals. This approach supports the transition toward a circular economy and a sustainable energy future.

 

Key words: Biogas, design of experiments, MATLAB, optimization, potato peels, fish waste, renewable energy.