A simulation-optimization framework for efficient CO 2 capture using amine absorption

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.