Simulation of a model-based predictive control system to optimize the methane production of a biogas reactor

This study deals with the simulation of model-based predictive control for optimization of the methane production of anaerobic digestion reactors. The methane gas production is controlled by the feed flow rate. The prediction is based on the standard AM2 model. The prediction horizon is 5 days. The simulation runs over 500 days. The result is compared with steady state simulations of the biogas reactor.