Rx-COSMO-CAMPD: Enhancing Reactions by Integrated Computer-Aided Design of Solvents and Processes based on Quantum Chemistry

被引:11
|
作者
Gertig, Christoph [1 ]
Fleitmann, Lorenz [1 ]
Schilling, Johannes [1 ]
Leonhard, Kai [1 ]
Bardow, Andre [1 ,2 ,3 ]
机构
[1] Rhein Westfal TH Aachen, Inst Tech Thermodynam, Schinkelstr 8, D-52062 Aachen, Germany
[2] Forschungszentrum Julich, Inst Energy & Climate Res Energy Syst Engn IEK 10, Wilhelm Johnen Str, D-52425 Julich, Germany
[3] Swiss Fed Inst Technol, Dept Mech & Proc Engn, Energy & Proc Syst Engn, Tannenstr 3, CH-8092 Zurich, Switzerland
关键词
Computational chemistry; Computer-aided molecular design; Kinetics; Process design; Solvent selection; SOLVATION ENERGY RELATIONSHIPS; MOLECULAR DESIGN; RATE CONSTANTS; PREDICTION; SELECTION; KINETICS; APPROXIMATION; SOLVOLYSIS; FRAMEWORK; BARRIER;
D O I
10.1002/cite.202000112
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Solvents strongly affect reaction-based chemical processes. Process design, therefore, needs to integrate solvent design. For this purpose, the integrated computer-aided molecular and process design (CAMPD) method Rx-COSMO-CAMPD is proposed. It employs a hybrid optimization scheme combining a genetic algorithm to explore the molecular design space with gradient-based optimization of the process. To overcome limitations of molecular design based on group-contribution methods, reaction kinetics and thermodynamic properties are predicted using advanced quantum-chemical methods. Rx-COSMO-CAMPD is demonstrated in a case study of a carbamate-cleavage process where promising solvents are designed efficiently. The results show that the integrated solvent and process design with Rx-COSMO-CAMPD outperforms computer-aided molecular design without process optimization in the identification of solvents that enable optimal process performance.
引用
收藏
页码:1489 / 1500
页数:12
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