Abstract
This review paper presents an optimization technology for the computer-aided molecular design of environmentally friendly solvents. The approach combines a stochastic optimization method and group contribution methods (GC-methods) to design solvents with desirable physicochernical and environmental properties. A simulated annealing algorithm is used to investigate feasible molecular structures. The main objective method is adopted to balance the multi-objective functions. One property is chosen as the main objective function, while the other properties are considered as constraints, and thus, the multi-objective problem is transformed into a single objective one. The optimal solution is a set of molecules satisfying the formulated target. The properties of each molecule are evaluated through GC-methods, including pure component properties, mixture properties and environmentally properties. Finally, the proposed methodology is illustrated with several examples of industrial separations. © 2008 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
Author supplied keywords
Cite
CITATION STYLE
Song, J., & Song, H. H. (2008, February). Computer-aided molecular design of environmentally friendly solvents for separation processes. Chemical Engineering and Technology. https://doi.org/10.1002/ceat.200700233
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.