[Hatem]

Hi,
In scaling up an anaerobic reactor, understanding which parameters most affect stability is crucial, because hydrodynamic and mass-transfer limitations at commercial scale can amplify issues that were minor at lab scale, like substrate gradients, VFA accumulation, or inhibitory compounds. Using LIMUS-AI, we at GazEoL Renouvelable can systematically identify these high-impact parameters by running Monte Carlo–based sensitivity analyses on lab-scale data, including HRT, temperature, substrate composition, and inhibitors like phenol and lignin. For example, our simulations highlight that VFA and phenol fluctuations are the biggest risks to stability. This allows engineers to proactively adjust scale-up design—optimizing mixing, retention times, and feed strategies—so the commercial reactor operates efficiently and stably from day one, rather than discovering issues only after commissioning.

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