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8.1 Thesis Summary and Contributions This dissertation primarily focuses on introducing and developing two new ideas to address research challenges presented by PSA processes in terms of cycle synthesis and computational complexity of the PDAEs governing its dynamics, and presents a successful proof of principle analysis for both ideas. Beginning with an overview of the PSA processes and adsorption fundamentals in the first two chapters, we describe that a practical PSA/VPSA process can be fairly complex with a multicolumn design executing a wide variety of non-steady-state op- erating steps in a non-trivial sequence, and motivate the need for a systematic methodology to synthesize PSA cycles. Therefore, we first explore the idea of development of a unique PSA superstructure to design optimal PSA processes. Secondly, we show that PSA processes are governed by highly nonlinear PDAEs with solution profiles characterized by steep adsorption fronts. As a result, PSA optimization problems present a significant computational challenge to current optimization techniques. Consequently, we explore the idea of using POD to gener- ate computationally-efficient ROMs and actualize novel trust-region algorithms to solve PSA optimization problems using these ROMs. We provide a summary of the work done and discuss our contributions separately in the subsequent sections. PSA Superstructure In Chapter 3, we present a new and original PSA superstructure to simultaneously determine new cycle configurations and design parameters. Interconnections between the two beds of the superstructure are governed by time-dependent control variables, which are manipulated to accomplish a wide variety of different PSA operating steps. An optimal cycle is eventually obtained by solving an optimal control problem for the superstructure. To solve it, we adopt a complete discretization approach, and alleviate its singular nature by using coarse discretization for controls. The superstructure approach is illustrated for a post-combustion CO2 capture case study. Superstructure is optimized to maximize CO2 recovery. With the optimal 2-bed 6-step VSA 8.1 Thesis Summary and Contributions Chapter 8. Conclusions 185PDF Image | Design and Operation of Pressure Swing Adsorption Processes
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