Unknown

Dataset Information

Dynamic modeling of syngas fermentation in a continuous stirred-tank reactor: Multi-response parameter estimation and process optimization.


ABSTRACT: Syngas fermentation is one of the bets for the future sustainable biobased economies due to its potential as an intermediate step in the conversion of waste carbon to ethanol fuel and other chemicals. Integrated with gasification and suitable downstream processing, it may constitute an efficient and competitive route for the valorization of various waste materials, especially if systems engineering principles are employed targeting process optimization. In this study, a dynamic multi-response model is presented for syngas fermentation with acetogenic bacteria in a continuous stirred-tank reactor, accounting for gas-liquid mass transfer, substrate (CO, H2 ) uptake, biomass growth and death, acetic acid reassimilation, and product selectivity. The unknown parameters were estimated

SUBMITTER: de Medeiros EM 

PROVIDER: S-EPMC9328424 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature