Unleashing Dairy Manure's Biogas Potential: A Michaelis-Menten Modeling Approach

In the quest for improved anaerobic digestion (AD) efficiency and stability, iron-based additives and drinking water treatment sludge (DWTS) have emerged as promising components. This study explores the kinetics of methane production during AD of dairy manure under various concentrations of iron shavings (IS) and Fe۳O۴ (۱۰, ۲۰, and ۳۰ mg/L) and DWTS (۶, ۱۲, and ۱۸ mg/L). The experimental data were employed to assess the suitability of the Michaelis-Menten model as a non-linear regression (NLR) equation for evaluating the kinetics of dairy manure AD with these additives. The results demonstrate that the Michaelis-Menten model exhibits sufficient predictive capability for estimating cumulative methane production during the digestion process. The model was then utilized to compare the average cumulative methane production across the investigated treatments using the least significant difference (LSD) method, as well as to calculate the quantity of methane production at ۲۵%, ۵۰%, ۷۵%, and ۹۰% of the final methane yield. Notably, the findings revealed a significant difference (P > ۰.۰۵) in biomethane production among the different levels of DWTS, IS, and Fe۳O۴. Additionally, treatments containing varying levels of DWTS exhibited significantly shorter time durations to achieve ۲۵% and ۵۰% of their maximum methane yield compared to treatments containing Fe۳O۴. The most pronounced changes in these parameters were observed between distinct levels of IS.

Keywords:

Anaerobic digestion , Michaelis-Menten model , dairy manure , Iron-Based Additives