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CO2 capture. PSA processes offer significant advantages for pre-combustion CO2 capture in terms of performance, energy requirements and operating costs since the shifted synthesis gas (syngas) is available for separation at a high pressure with a high CO2 concentration. Since the industrial PSA cycles focus on recovering H2 at a very high purity but consider CO2 as a waste stream, novel PSA cycle designs are anticipated which recover both H2 and CO2 at a high purity. With the help of the superstructure approach, we successfully synthesize optimal PSA configurations which maximize CO2 recovery and minimize overall power consumption. This chapter, hence, demonstrates the versatility of the superstructure approach. After this, the thesis focuses on addressing the challenge associated with efficient compu- tation of PSA bed models and optimization problem. Chapter 6 describes a reduced-order modeling technique that can circumvent such computational challenges by generating cost- efficient low-order models which can be used as surrogate models in optimization problems. In particular, with method of snapshots, singular-value decomposition, and Galerkin’s frame- work, we describe how proper orthogonal decomposition (POD) can be successfully used to construct reduced-order models which can be orders of magnitude smaller than the original model without losing accuracy. Further, we discuss ROM-based optimization, and describe how ROMs can be utilized to optimize in a trust-region around the point where it is constructed. Optimization strategy is illustrated with a hydrogen PSA case study. In Chapter 7, we formally develop a trust-region framework for ROM-based optimization. First we develop an exact penalty-based trust-region algorithm, and develop correction schemes for objective and constraints to ensure global convergence with POD-based approximate mod- els. Then we illustrate this algorithm with correction schemes for a two-bed four-step PSA case study for post-combustion capture. Next, highlighting drawbacks of penalty approach and benefits of a filter, we develop a hybrid filter trust-region algorithm for constrained ROM-based optimization. Filter algorithm is then demonstrated for the PSA case study. Finally, we summarize the contributions of this thesis, and discuss directions for future work in Chapter 8. Nomenclature is listed in Appendix A. 1.4 Thesis Outline Chapter 1. Introduction 10PDF Image | Design and Operation of Pressure Swing Adsorption Processes
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