GENERALIZED MODULAR REPRESENTATION FRAMEWORK FOR THE SYNTHESIS OF EXTRACTIVE SEPARATION SYSTEMS Chapter

abstract

• 2019 Elsevier B.V. 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. Thus, 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.

authors

• Pistikopoulos, Stratos

author list (cited authors)

• Tian, Y., & Pistikopoulos, E. N.

citation count

• 6

complete list of authors

• Tian, Yuhe||Pistikopoulos, Efstratios N

Book Title

• Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design

publication date

• January 2019

publisher

• Elsevier  Publisher

published in

• Computer Aided Chemical Engineering  Journal

keywords

• Distillation
• Extractive Separation
• Modular Framework
• Process Intensification
• Process Synthesis

Digital Object Identifier (DOI)

• 10.1016/B978-0-12-818597-1.50076-X

start page

• 475

end page

• 480

volume

• 47

URL

• http://dx.doi.org/10.1016/b978-0-12-818597-1.50076-x