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4.4 Case Studies and Computational Results Table 4.5: Accuracy validation for AMPL results of case II Spatial finite volumes N2 purity N2 recovery CO2 purity CO2 recovery AMPL results 20 96.58% 99.26% 95% 80.09% MATLAB verification 20 40 96.28% 96.19% 99.26% 99.28% 94.95% 95.04% 78.26% 77.70% 80 96.16% 99.29% 95.07% 77.51% 100 95 90 85 55 60 65 70 75 80 85 90 95 100 CO recovery (%) 2 Figure 4.4: Purity-recovery trade-off curve for case II complete discretization approach is reasonably accurate. Figure 4.4 shows a trade-off curve between CO2 purity and recovery. We construct this curve by varying the lower bound on CO2 purity in the NLP (4.2), and then maximizing CO2 recovery for each lower bound. As a result, it is possible that a different optimal cycle configuration is achieved at each point plotted on the curve. However, each configuration is the best possible cycle for a particular CO2 purity. Consequently, this yields an optimal purity-recovery trade-off curve. The curve shows that if a very high purity CO2 separation is desired then the recovery falls drastically. A similar trend is observed with the purity when a Chapter 4. Superstructure Case Study: Post-combustion CO2 Capture 62 CO purity (%) 2PDF Image | Design and Operation of Pressure Swing Adsorption Processes
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