Please use this identifier to cite or link to this item: https://doi.org/10.3303/CET09143
Title: A simulation-optimization framework for efficient CO 2 capture using amine absorption
Authors: Halim, I.
Srinivasan, R. 
Issue Date: 2009
Source: Halim, I.,Srinivasan, R. (2009). A simulation-optimization framework for efficient CO 2 capture using amine absorption. Chemical Engineering Transactions 18 : 273-278. ScholarBank@NUS Repository. https://doi.org/10.3303/CET09143
Abstract: The control of CO 2 emission is becoming one of the most challenging environmental issues facing many countries today. Recent years has seen an increase in the reported use of process simulators to assess feasibility and design and troubleshoot of CO 2 capture using amine solution. We present a simulation-optimization framework comprising of HYSYS simulator and a jumping gene based multi-objective simulated annealing technique to evaluate the efficacy of CO 2 removal using DEA solution. The novelty of this approach is that, both simulation and optimization of the process are performed simultaneously in an automated fashion to fully explore the trade-off surface of CO 2 capture efficiency and operating cost. We show that for 80-93%) of removal, the cost incurred is between $52 and 68 per tonne of CO 2 captured. Copyright © 2009, AIDIC Servizi S.r.l.
Source Title: Chemical Engineering Transactions
URI: http://scholarbank.nus.edu.sg/handle/10635/90516
ISBN: 9788895608044
ISSN: 19749791
DOI: 10.3303/CET09143
Appears in Collections:Staff Publications

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