Optimal design of solvents for extractive reaction processes. Issue 9 (21st June 2016)

• Record Type: Journal Article
• Authors: Zhou, Teng; Wang, Jiayuan; McBride, Kevin; Sundmacher, Kai
• Is Part Of: AIChE journal. Volume 62:Issue 9(2016)
• Page Start: 3238
• Page End: 3249
• Publication Date: 2016-06-21
• Subjects: computer‐aided molecular design -- solvent design -- extractive reaction -- genetic algorithm; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; 660.28
• DOI: 10.1002/aic.15360
• Languages: English
• ISSNs: 0001-1541

Abstract

Abstract : It is well known that solvents can have significant effects on rates and equilibrium compositions of chemical reactions. The computer‐aided molecular design (CAMD) of solvents for heterogeneous liquid phase reactions is challenging due to multiple solvent effects on reaction and phase equilibria. In this work, we propose a CAMD methodology based on a genetic algorithm (GA) for identifying optimal solvents for liquid phase reactions where the objective is to maximize the reaction equilibrium conversion. In particular, a novel molecular encoding method is introduced to facilitate the construction and evaluation of solvent molecules in a defined structure space. The reliability of the method for fast identification of optimal reaction solvents is demonstrated for a selected biphasic esterification reaction. The proposed approach opens up new perspectives for intensifying extractive reaction processes via the purposeful design of solvent molecules. © 2016 American Institute of Chemical Engineers AIChE J, 62: 3238–3249, 2016