4.2 Article

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

期刊

CHEMIE INGENIEUR TECHNIK
卷 92, 期 10, 页码 1489-1500

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/cite.202000112

关键词

Computational chemistry; Computer-aided molecular design; Kinetics; Process design; Solvent selection

资金

  1. German Federal Ministry of Education and Research [03EK30442C]
  2. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - Cluster of Excellence 2186 The Fuel Science Center [390919832]
  3. RWTH Aachen University [rwth0284, rwth0478]

向作者/读者索取更多资源

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.

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