Hauwaert, Lucas, van derLucas, van derHauwaertRegueira, AlberteAlberteRegueiraSelder, LudwigLudwigSelderZeng, An-PingAn-PingZengMauricio-Iglesias, MiguelMiguelMauricio-Iglesias2022-11-282022-11-282022-11-06Computers and Chemical Engineering 168: 108059 (2022-12-01)http://hdl.handle.net/11420/14152Designing and operating bioreactors with in-situ product removal (ISPR) can be challenging, particularly in discontinuous systems, where the ISPR and substrate feeding need to be effectively scheduled. Mathematical models can help assess different scheduling regimes in the fermentation medium and provide a means to optimise the process. Focusing on a propionate production case study, a model of a co-culture batch fermentation with electrodialysis (the ISPR system), was developed. Using this model, the product yield and/or the productivity were maximised by 1) single objective optimisation maximising the product yield (0.49 gpropionate /gglucose) or productivity (0.75 gpropionate/L/h), 2) multi objective optimisation to pursue trade-off solutions between the yield and productivity and 3) a stochastic optimisation maximising the productivity robustly (0.64 gpropionate/L/h) to account for uncertainties associated to the model parameters. With this contribution it is demonstrated that, through mathematical models, ISPR can be implemented and adapted to the user's objectives.en0098-13542022Elsevier Sciencehttps://creativecommons.org/licenses/by-nc-nd/4.0/BiotechnologyDesign under uncertaintyDownstream processingKinetic modellingOperational designProduct inhibitionBiowissenschaften, BiologieTechnikJournal Article10.15480/882.475310.1016/j.compchemeng.2022.10805910.15480/882.4753Other