Experimental and Numerical Optimization of Biogas Energy Production Using the RSM Method
Résumé
This study aims to optimize biogas production at the laboratory scale using a batch-mode bioreactor and Response Surface Methodology (RSM).The main objective is to assess the effects of key parameters substrate composition (household waste and cow manure), pH, fermentation temperature, and agitation speed on biogas yield.series of experiments were designed using a central composite RSM to evaluate the influence of substrate composition and temperature.The experimental data were analyzed through ANOVA to assess model significance and accuracy.The results show that the developed quadratic models are statistically significant, with a determination coefficient (R²) of 0.90 for cumulative biogas production.These findings confirm the adequacy of the models and the effectiveness of RSM in identifying optimal operating conditions for enhanced biogas yield.
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