2012
DOI: 10.1002/aic.13783
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Optimization and Control of Pressure Swing Adsorption Processes Under Uncertainty

Abstract: in Wiley Online Library (wileyonlinelibrary.com).The real-time periodic performance of a pressure swing adsorption (PSA) system strongly depends on the choice of key decision variables and operational considerations such as processing steps and column pressure temporal profiles, making its design and operation a challenging task. This work presents a detailed optimization-based approach for simultaneously incorporating PSA design, operational, and control aspects under the effect of time variant and invariant … Show more

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Cited by 80 publications
(42 citation statements)
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“…Thus, in the development of sustainability improvement strategies, the evaluation of alternative scenarios must consider various forms of uncertainty in order to identify practical and effective solutions. Khajuria and Pistikopoulos (2013) also expressed this concern when solving optimization problems under uncertainty, and proposed a post-dynamic feasibility test after solving an optimal design problem of pressure swing adsorption processes. Similarly, Zhou et al (2013) proposed a two-stage stochastic programming model for the optimal design of distributed energy systems, where the second stage employs Monte Carlo-based sampling to estimate an average value under uncertainty for each model parameter that is used by the programming at the first stage.…”
Section: Uncertainty Incorporation and Optimal Strategy Developmentmentioning
confidence: 98%
“…Thus, in the development of sustainability improvement strategies, the evaluation of alternative scenarios must consider various forms of uncertainty in order to identify practical and effective solutions. Khajuria and Pistikopoulos (2013) also expressed this concern when solving optimization problems under uncertainty, and proposed a post-dynamic feasibility test after solving an optimal design problem of pressure swing adsorption processes. Similarly, Zhou et al (2013) proposed a two-stage stochastic programming model for the optimal design of distributed energy systems, where the second stage employs Monte Carlo-based sampling to estimate an average value under uncertainty for each model parameter that is used by the programming at the first stage.…”
Section: Uncertainty Incorporation and Optimal Strategy Developmentmentioning
confidence: 98%
“…Agarwal et al proposed a novel PSA superstructure, and applied it to design optimal PSA cycle configurations for pre-combustion and postcombustion CO 2 capture (Agarwal et al, 2010a(Agarwal et al, , 2010b. Khajuria et al addressed an optimization strategy for simultaneously incorporating PSA design, and operational, and control aspects under process uncertainty (Khajuria and Pistikopoulos, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Applying MPC to periodic systems is a major challenge due to the presence of numerical computation and robustness issues [174]. In the realm of mp-MPC, recent studies on pressure-swing adsorption [173,174] have shown the applicability of mp-MPC to such systems, however a comprehensive theory for general periodic systems also involving strong nonlinearities is still lacking.…”
Section: Development Of Mp-mpc For Periodic Systemsmentioning
confidence: 99%
“…In the realm of mp-MPC, recent studies on pressure-swing adsorption [173,174] have shown the applicability of mp-MPC to such systems, however a comprehensive theory for general periodic systems also involving strong nonlinearities is still lacking.…”
Section: Development Of Mp-mpc For Periodic Systemsmentioning
confidence: 99%