Generalized Modular Representation Framework for the Synthesis of Extractive Separation Systems
- Texas A & M Univ., College Station, TX (United States)
In this work, a systematic process synthesis and intensification method is presented for extractive separation based on the Generalized Modular Representation Framework (GMF). GMF employs a mass/heat exchange module-based superstructure representation, incorporating detailed thermodynamic model, to investigate conventional or intensified process options for nonideal azeotropic separation without a pre-postulation of plausible unit/flowsheet configurations. Orthogonal Collocation is also applied to enhance GMF representation to obtain intra-module operation information and module dimensionality estimation while maintaining model size compactness. Furthermore, entrainer selection, process synthesis, design, and intensification are examined within a single mixed-integer nonlinear optimization (MINLP) problem. A case study on the separation of ethanol-water mixture is presented to highlight the potential of the proposed approach in deriving optimal and verifiable extractive separation systems.
- Research Organization:
- RAPID Manufacturing Institute, New York, NY (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Manufacturing Office
- Grant/Contract Number:
- EE0007888
- OSTI ID:
- 1642450
- Journal Information:
- Computer Aided Chemical Engineering, Vol. 47; Conference: 9.International Conference on Foundations of Computer-Aided Process Design (FOCAPD), Copper Mountain, CO (United States), 14-18 Jul 2019; Related Information: ISBN 9780128185971; ISSN 1570-7946
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
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