Acetone–Butanol–Ethanol Fermentation Phenomenological Models for Process Studies: Parameter Estimation and Multi-Response Model Reduction with Statistical Analysis

A phenomenological multi-response multi-parameter Acetone–Butanol–Ethanol fermentation dynamic model is developed and calibrated for process studies. The was constructed based on other models reported in the literature with a maximum likelihood parameter estimation over experimental data from literature. After estimation, rigorous statistical analysis conducted to evaluate standard deviations of estimated parameters predicted responses as well their respective 95% probability confidence intervals correct responses. significance assessed via Fisher’s F test. From Base-Model 17 parameters, tight, more compact, Reduced-Model 9 highly significant after deleting 8 nonsignificant re-estimating remaining parameters. This showed good adherence had better performance comparatively relative using two different inhibition functions sufficiently preliminary engineering economic assessments ABE processes.