Sasi, ThulasiThulasiSasiSkiborowski, MirkoMirkoSkiborowski2022-08-252022-08-252022-06Computer Aided Chemical Engineering 51 : 751-756 (2022)978-0-323-95879-0http://hdl.handle.net/11420/13484Solvent-based separation processes, such as liquid-liquid extraction are important options for the separation of aqueous mixtures with low relative volatilities, tangent pinches or azeotropes, for which distillation is either infeasible or energy intensive. As the choice of solvent is of utmost importance, various methods for solvent screening have been proposed, focusing either on properties like solubility and capacity, or the minimum solvent requirement. While some do evaluate the energy for solvent recovery, they assume a fixed process structure, based on the integration of an extraction and a distillation column. Therefore, additional constraints restrict feasible solvents to those that do not form azeotropes and show specific boiling points. While such constraints are oftentimes reasonable, overcoming this limitation requires the identification of solvent-specific process configurations, which is a complex task usually performed by graphical analysis or trial and error. For this purpose, the current work introduces a novel algorithmic synthesis approach and illustrates its application for the separation of a ternary mixture of acetone, acetic acid and water using chloroform as solvent.enazeotropic multi-component mixturesextraction-distillation hybrid processesprocess synthesisNatural Sciences and Mathematics::500: ScienceConference Paper10.1016/B978-0-323-95879-0.50126-0Conference Paper