Parametric study and control of a pressure swing adsorption process to separate the water-ethanol mixture under disturbances

Rumbo‐Morales, Jesse Y.; López, G.; Martínez, Víctor M. Alvarado; Vázquez, Felipe de J. Sorcia; Mendoza, Jorge A. Brizuela; García, Mario Martínez

doi:10.1016/j.seppur.2019.116214

Cited by 42 publications

(25 citation statements)

References 41 publications

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“…The Hammerstein‐Wiener system is a nonlinear system with three blocks where a dynamic linear part is sandwiched between two static nonlinear parts 7,8 . Due to the effectual reflections to nonlinear plants, the Hammerstein‐Wiener systems are involved in a wide range of applications such as the pressure swing adsorption process 9 . In the literature, Wang et al derived a modified two‐stage algorithm for the Hammerstein‐Wiener systems and compared the modified bias‐eliminating least squares algorithm with the least squares algorithm for the parameter estimation accuracy 10 .…”

Section: Introductionmentioning

confidence: 99%

Recursive least squares estimation methods for a class of nonlinear systems based on non‐uniform sampling

Liu

Chen

Ding

et al. 2021

Adaptive Control & Signal

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Summary Many dynamic processes in practice have nonlinear characteristics and must be described by using nonlinear models. It remains to be a challenging problem to build the models of such nonlinear systems and to estimate their parameters. This article studies the parameter estimation problem for a class of Hammerstein‐Wiener nonlinear systems based on non‐uniform sampling. By means of the auxiliary model identification idea, an auxiliary model‐based recursive least squares algorithm is derived for the systems. In order to enhance the computational efficiency, an auxiliary model‐based hierarchical least squares algorithm is proposed by utilizing the hierarchical identification principle. The simulation results confirm the effectiveness of the proposed algorithms.

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Section: Introductionmentioning

confidence: 99%

Recursive least squares estimation methods for a class of nonlinear systems based on non‐uniform sampling

Liu

Chen

Ding

et al. 2021

Adaptive Control & Signal

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“…Biofuel production is increasing globally; however, the processes used for its production still require further optimization to obtain the desired purity in compliance with international standards. One of these processes is the adsorption with molecular sieves, which uses the pressure swing to adsorb and desorb the gas molecule to produce 99% wt bioethanol [25]. Pressure Swing Adsorption (PSA) uses two or more columns filled with a molecular sieve (natural or synthetic adsorbent).…”

Section: Introductionmentioning

confidence: 99%

“…These two stages (adsorption and regeneration) are composed of four steps: adsorption, depressurization, purge, and repressurization. The process operates cyclically; when one column adsorbs, the other is regenerated, and then the stages are reversed [12,14,20,21,[25][26][27][28]. The mathematical model of the PSA process is described by Partial Differential Equations (PDE), and, to solve these equations, initial and boundary conditions are necessary.…”

Section: Introductionmentioning

confidence: 99%

Adsorption and Separation of the H2O/H2SO4 and H2O/C2H5OH Mixtures: A Simulated and Experimental Study

et al. 2020

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Adsorption processes are characterized by their kinetics and equilibrium isotherms described by mathematical models. Nowadays, adsorption with molecular sieves is a method used to separate certain elements or molecules from a mixture and produce hydrogen, nitrogen, oxygen, ethanol, or water treatment. This study had two main objectives. The first one was focused on the use of different natural (Clinoptilolite-S.L. Potosi, Clinoptilolite-Puebla, and Heulandite-Sonora) and synthetic (Zeolite Type 3A) adsorbents to separate the mixtures H 2 O/H 2 SO 4 and H 2 O/C 2 H 5 OH. It was determined that both Zeolite Type-3A and Heulandite-Sonora have greater adsorption capacity in a shorter time compared with the Clinoptilolites at different temperatures. The second objective was the simulation of a pressure swing adsorption process to dehydrate ethanol using the parameters obtained from Zeolite Type 3A (with maximum adsorption capacity). Several configurations were considered to calculate the appropriate nominal values for the optimal process. The results illustrate that the purity of ethanol is increased when the following parameters are considered in the adsorption process: a high pressure, a constant temperature between 100 and 120 • C, a feed composition near the azeotropic point with lower water content, and a purge pressure near the vacuum. Finally, the results show that it is possible to take advantage of the length of the absorber bed in order to reduce the energy costs by increasing the ethanol production as well as complying with the international purity standards.

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“…The Skarstrom method (PSA) is widely used in chemical engineering [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. In its implementation, adsorbents (mainly zeolites of types 13X, 5A, LiX) with a low adsorption heat in relation to the separated components of gas mixtures are used (typical values of h/RT for PSA fall within the range of 1-10).…”

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confidence: 99%

“…А )at links (1)-(12), ranges of change of optimized(20) and uncertain (21) variables, constraints (15)-(19), which are calculated in approximation points ξ…”

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confidence: 99%

Optimization and analysis of pressure swing adsorption process for oxygen production from air under uncertainty

Акулинин

Golubyatnikov

Dvoretsky

et al. 2020

CI&CEQ

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Article Highlights • PSA oxygen production unit is optimized under uncertainty • Optimal modes of the PSA oxygen production unit are studied • A constraint on gas flow velocity in the frontal layer of adsorbent of the PSA unit is introduced • Limiting gas flow velocity provides for resource saving of granulated adsorbent • The fulfilment of gas flow velocity constraint is ensured by controlling the PSA unit's valves Abstract Pressure swing adsorption (PSA) units are widely used for atmospheric air separation and oxygen concentration. However, the efficiency of such installations is reduced due to accidental changes in the characteristics of the atmospheric air to be separated. The article formulates and solves the problem of optimizing the regimes of operation of PSA units with zeolite adsorbent 13X, according to the criterion of oxygen recovery rate in the conditions of interval uncertainty of composition, temperature and pressure of atmospheric air. The optimization problem also takes into account the fulfillment of the requirements on purity of oxygen, productivity of the unit and resource saving of granulated adsorbent from granule abrasion. It is proposed to provide adsorbent saving by limiting the speed of incoming flow in the frontal layer of the adsorbent by means of "soft" stepwise change of the degree of opening of control inlet and outlet valves of the unit. The problem (including the search for time change programs for the degree of opening of control valves) was solved with the use of the developed mathematical model of cyclic heat-and mass exchange processes of adsorption-desorption in a PSA unit and a heuristic iterative algorithm. The comparative analysis of the results of the optimization problem solution, with and without taking into account the constraint on the gas flow velocity in the frontal layer of the adsorbent, is carried out. The influence of the specified requirements for the performance of the PSA unit and the purity of oxygen on the degree of its recovery has been studied.

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Parametric study and control of a pressure swing adsorption process to separate the water-ethanol mixture under disturbances

Cited by 42 publications

References 41 publications

Recursive least squares estimation methods for a class of nonlinear systems based on non‐uniform sampling

Recursive least squares estimation methods for a class of nonlinear systems based on non‐uniform sampling

Adsorption and Separation of the H2O/H2SO4 and H2O/C2H5OH Mixtures: A Simulated and Experimental Study

Optimization and analysis of pressure swing adsorption process for oxygen production from air under uncertainty

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