Fuzzy Modelling and Optimization of Yeast-MFC for Simultaneous Wastewater Treatment and Electrical Energy Production

Microbial fuel cells convert the chemical energy conserved in organic matter wastewater directly to electrical through living microorganisms. These devices are environmentally friendly thanks their ability simultaneously produce and treatment. The output power of yeast microbial cell (YMFC) depends mainly on glucose concentration glucose/yeast ratio. Thus, paper aims boost YMFC by identifying best values suggested approach comprises fuzzy modelling optimization. Fuzzy is used build model based measured data. In optimization stage, marine predators’ algorithm (MPA) applied identify ratio corresponding maximum YMFC. results revealed superiority combination MPA compared with response surface methodology (RSM) approach. Regarding accuracy, coefficient determination increased 13.32% 8.37%, respectively, for without methylene blue RSM. integration between succeeded maximizing from Without MB, density 25% 29.3%, data addition, 22.4% 26%,