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4.5 Comparison of Cycles from Case II and III 600 580 560 540 520 500 480 460 440 420 70 72 74 76 78 80 82 84 86 88 90 92 CO recovery (%) 2 Figure 4.8: Power-recovery trade-off curve, at 90% CO2 purity while keeping purity at 90%, and optimizing NLP (4.3) multiple times. Thus, we obtain an optimal trade-off curve, although it is possible to obtain a different optimal cycle configuration at each point plotted on the curve. As expected, the curve shows that the power requirements increase if a high-recovery separation is desired. However, the increase is almost linear up to a recovery level of 84%. The power requirements then start growing steeply if more than 84% CO2 recovery is sought. 4.5 Comparison of Cycles from Case II and III Case studies discussed in the previous section clearly demonstrate that we can obtain substan- tially different PSA configurations after performing superstructure optimization with different objectives. In all the case studies above, the final optimal cycle is governed by the required specifications, constraints and objective function. However, optimal PSA configurations have some similarities as well, which convey that the superstructure approach finds some common features as a necessary requirement for optimal performance. For instance, the optimal cycles Chapter 4. Superstructure Case Study: Post-combustion CO2 Capture 68 Power consumption (kWh/tonne CO ) 2PDF Image | Design and Operation of Pressure Swing Adsorption Processes
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CO2 Organic Rankine Cycle Experimenter Platform The supercritical CO2 phase change system is both a heat pump and organic rankine cycle which can be used for those purposes and as a supercritical extractor for advanced subcritical and supercritical extraction technology. Uses include producing nanoparticles, precious metal CO2 extraction, lithium battery recycling, and other applications... More Info
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