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Chapter 3 PSA Superstructure Synopsis This chapter presents a systematic optimization-based formulation to synthesize optimal PSA cycles for a given application. In particular, we present a novel PSA superstructure to simul- taneously determine new configurations and design parameters. The superstructure consists of two beds, one of which acts as an adsorbing bed and the other as a desorbing bed. The interconnections between the two beds are governed by time-dependent control variables, such as fractions of the light and the heavy product recycle. The superstructure is rich enough to predict a number of different PSA operating steps, which are accomplished by varying these control variables. An optimal sequence of operating steps is achieved by solving an optimal control problem for the superstructure with the partial differential and algebraic equations of the PSA system and the cyclic steady state condition. We also present the PDAEs for the bed model with the connectivity equations of the superstructure. Large-scale optimization capa- bilities have enabled us to adopt a complete discretization methodology to solve the optimal control problem as a large-scale nonlinear program. Chapter 3. PSA Superstructure 35PDF Image | Design and Operation of Pressure Swing Adsorption Processes
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