Optimal Parameter Determination of Membrane Bioreactor to Boost Biohydrogen Production-Based Integration of ANFIS Modeling and Honey Badger Algorithm

Hydrogen is a new promising energy source. Three operating parameters, including inlet gas flow rate, pH and impeller speed, mainly determine the biohydrogen production from membrane bioreactor. The work aims to boost by determining optimal values of control parameters. proposed methodology contains two parts: modeling parameter estimation. A robust ANIFS model simulate bioreactor has been constructed for stage. Compared with RMS, thanks ANFIS, RMSE decreased 2.89 using ANOVA 0.0183 ANFIS. Capturing proper correlation between inputs output process system encourages ANFIS predict performance exactly. Then, parameters were identified honey badger algorithm. During optimization process, speed are used as decision variables, whereas objective function required be maximum. integration HBA boosted hydrogen yield 23.8 L 25.52 L, increasing 7.22%.