Dynamic optimization of thermophilic hydrogen and by-product production requires the use of robust models coupled with control strategies. In this work, a model was used to optimize biohydrogen (bioH2) and acetate production using Thermotoga maritima (T. maritima) with a Multi-Objective Optimization (MOO). The aim was to find the trade-off between the maxima of yield and productivity of the hydrogen production and acetate in a continuous dark fermentation process by modifying the inlet liquid flow rate. A dynamic mass balance model was used to optimize thermophilic bioH2 and acetate production using T. maritima MSB8 (DSMZ 3109) strains.
