A Framework for the Systematic Design of Hybrid Separation Processes
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A Framework for the Systematic Design of Hybrid Separation Processes
A Framework for the Systematic Design of Hybrid Separation Processes
中国化学工程学报(英文版)2008年16卷第3期 页码:333-342
Affiliations:
Process Systems Engineering and Center for Computational Engineering Science, RWTH Aachen University,- Aachen,D,Germany,52064
Author bio:
Funds:
the Deutsche Forschungsgemeinschaft (German Research Foundation);DAAD (German Academic Exchange Service) and FUNDAYACUCHO;and Bayer Technology Services
DOI:
中图分类号:
纸质出版:2008
Accepted:
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Wolfgang Marquardt, Sven Kossack, Korbinian Kraemer. A Framework for the Systematic Design of Hybrid Separation Processes[J]. 中国化学工程学报(英文版), 2008,16(3):333-342.
Wolfgang Marquardt, Sven Kossack, Korbinian Kraemer. A Framework for the Systematic Design of Hybrid Separation Processes[J]. , 2008, 16(3): 333-342.
Wolfgang Marquardt, Sven Kossack, Korbinian Kraemer. A Framework for the Systematic Design of Hybrid Separation Processes[J]. 中国化学工程学报(英文版), 2008,16(3):333-342.DOI:
Wolfgang Marquardt, Sven Kossack, Korbinian Kraemer. A Framework for the Systematic Design of Hybrid Separation Processes[J]. , 2008, 16(3): 333-342.DOI:
A Framework for the Systematic Design of Hybrid Separation Processes
The design of optimal separation flow sheets for multi-component mixtures is still not a solved problem. This is especially the case when non-ideal or azeotropic mixtures or hybrid separation processes are considered. We review recent developments in this field and present a systematic framework for the design of separation flow sheets. This framework proposes a three-step approach. In the first step different flow sheets are generated. In the second step these alternative flow sheet structures are evaluated with shortcut methods. In the third step a rigorous mixed-integer nonlinear programming (MINLP) optimization of the entire flow sheet is executed to determine the best alternative. Since a number of alternative flow sheets have already been eliminated
only a few optimization runs are necessary in this final step. The whole framework thus allows the systematic generation and evaluation of separation processes and is illustrated with the case study of the separation of ethanol and water.
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