Modeling and Economic Optimization of a Hollow Fiber Membrane Module for CO2 Separation Using Collocation Methods and Genetic Algorithms-Reference-Cited by-同舟云学术

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Modeling and Economic Optimization of a Hollow Fiber Membrane Module for CO2 Separation Using Collocation Methods and Genetic Algorithms

Published:2023-06-09 Issue: Volume: Page:
ISSN:
Container-title:The 2nd International Electronic Conference on Processes: Process Engineering—Current State and Future Trends
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Author:

Vuong Quoc-Tuan¹²,Nguyen Tuan-Anh¹²

Affiliation:

1. Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc City 71308, Ho Chi Minh City, Vietnam

2. Faculty of Chemical Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Str., Dist. 10, Ho Chi Minh City 72506, Vietnam

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/37/1/119/pdf

Reference11 articles.

1. Membrane gas separation progresses for process intensification strategy in the petrochemical industry;Bernardo;Pet. Chem.,2010

2. Steady State Permeate Flux Estimation in Cross-Flow Ultrafiltration of Protein Solution;Nguyen;Sep. Sci. Technol.,2014

3. Mores, P.L., Arias, A.M., Scenna, N.J., Caballero, J.A., Mussati, S.F., and Mussati, M.C. (2018). Membrane-Based Processes: Optimization of Hydrogen Separation by Minimization of Power, Membrane Area, and Cost. Processes, 6.

4. Mathematical modeling and process parametric study of CO2 removal from natural gas by hollow fiber membranes;Chu;Chem. Eng. Res. Des.,2019

5. Mitchell, M. (1998). An Introduction to Genetic Algorithms, The MIT Press.

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