Gasification optimization using CFD combined with Design of Experiments

Abstract CFD simulations do not set the process of optimal conditions and information about the process robustness performance is always scarce. In this chapter, the readers will learn how to combine the CFD simulation with Design of Experiments and the Monte Carlo method to predict the optimal performance of CO2 coming from the air-CO2 mixtures gasification of the organic part of typical Municipal Solid Waste (MSW) while ensuring a stable output gas composition. The coupling of these methodologies as shown through this chapter allows the user extending to other input factors, responses, and even to other processes. The CFD model described in the previous chapters was used to generate the data for a 3k design comprising nine simulations. In this chapter, and as an example, one considered the CO2 generation as the response of interest for single optimization analysis. The optimal conditions for a selected response could be set at operational zones susceptible to cause more instability. To minor the effect of the response variability through the numerical space of interest, one used the Monte Carlo method to identify how such variability spreads out. Finally, some considerations and advises about using such statistical techniques are addressed to help the reader in future occasions.