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No. of variables No. of equations CPU time Optimal step times Step 1 (and 4) Step 2 (and 5) Step 3 (and 6) Optimal cycle time Feed flux Power consumption CO2 purity CO2 recovery 50162 49956 756.22 min. 50 sec 405 sec 685 sec 2280 sec 80 kgmol m−2 hr−1 637.25 kWh/tonne CO2 captured 95% 80.09% 4.4 Case Studies and Computational Results Table 4.4: Optimization results for case II external influence and re-arranges component distribution within the system. During steps 3 and 6, nitrogen from CoB to CnB purges CO2 out of CnB from its heavy end and enriches itself towards the light end of CnB while pushing its front. Similarly CO2 from CnB to CoB purges nitrogen out of CoB and enriches itself towards the heavy end of CoB and pushes its front towards the light end of CoB. Step 3 in Figure 4.3 confirms such a movement of CO2 front. The optimization results for this case are summarized in Table 4.4. With 50,162 variables and 206 degrees of freedom, it was solved to optimality in approximately 12.5 CPU hours on the Intel Quad core 2.4 GHz machine with 8 GB RAM. At the optimum, the feed flux attained its lower bound of 80 kgmol m−2 hr−1. For such a high feed flux, we obtained a reasonable power consumption of 637.25 kWh/tonne CO2 captured. Also, an optimum CO2 recovery of 80% at a purity of 95%, for such a high feed flux, is substantially better than the literature studies for post-combustion capture that deal with high feed throughput. These results confirm our assertion that steps like heavy reflux are essential for high-purity CO2 separation. In Table 4.5 we provide a validation of the optimal results obtained from AMPL with method of lines simulations in MATLAB for varying number of spatial finite volumes. The results from AMPL are in good agreement with those from MATLAB, and the accuracy doesn’t suffer as we consider a large number of finite volumes in MATLAB. This indicates that the Chapter 4. Superstructure Case Study: Post-combustion CO2 Capture 61PDF Image | Design and Operation of Pressure Swing Adsorption Processes
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