2021
DOI: 10.3390/en14092450
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Hydrogen Purification Performance Optimization of Vacuum Pressure Swing Adsorption on Different Activated Carbons

Abstract: Hydrogen purification is an important part of hydrogen energy utilization. This study aimed to perform hydrogen purification of multi-component gas (H2/CO2/CH4/CO/N2 = 0.79/0.17/0.021/0.012/0.007) by one-column vacuum pressure swing adsorption (VPSA) and pressure swing adsorption (PSA). AC5-KS was selected as the adsorbent for hydrogen purification due to its greater adsorption capacity compared to R2030. Furthermore, VPSA and PSA 10-step cycle models were established to simulate the hydrogen purification proc… Show more

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Cited by 18 publications
(7 citation statements)
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“…Moreover, more complex VPSA configurations have been devised to solve specific problems. For example, Xiao et al 78 developed a 10-step VPSA cycle for H 2 purification, which contains several additional steps of pressure equalisation compared with the basic VPSA. They employed commercial engineered biochars as CO 2 adsorbents for evaluating H 2 separation performance, and also they compared the performance of various engineered biochars in different process configurations (i.e., PSA and VPSA).…”
Section: Pressure-driven Co 2 Adsorptionmentioning
confidence: 99%
“…Moreover, more complex VPSA configurations have been devised to solve specific problems. For example, Xiao et al 78 developed a 10-step VPSA cycle for H 2 purification, which contains several additional steps of pressure equalisation compared with the basic VPSA. They employed commercial engineered biochars as CO 2 adsorbents for evaluating H 2 separation performance, and also they compared the performance of various engineered biochars in different process configurations (i.e., PSA and VPSA).…”
Section: Pressure-driven Co 2 Adsorptionmentioning
confidence: 99%
“…In order to solve large-scale nonlinear programming problems, which have a large number of equationally constrained equations but relatively low degrees of freedom, the reduced-space SQP (r-SQP) algorithm is proposed. The r-SQP can greatly reduce the amount of calculation and storage capacity of the optimization process through a spatial-decomposition technique that solves the process system in zero space, with relatively small degrees of freedom [31]. Currently, the algorithm has been successfully applied in nitrogen/methane separation, biogas upgrading, carbon capture, and other processes.…”
Section: Detailed Modelmentioning
confidence: 99%
“…Gradient-based deterministic algorithms include sequential quadratic programming (SQP), reduced space sequential quadratic programming (rSQP), the interior point method, the efficient set method, the trust region efficient algorithm, etc. [30][31][32]. Novel metaheuristic and artificial-intelligence-based optimization algorithms, including the genetic algorithm (GA), particle swarm optimization (PSO), the ant colony algorithm, the annealing algorithm, etc.…”
Section: Introductionmentioning
confidence: 99%
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“…Among the adsorption process configurations, vacuum pressure swing adsorption (VPSA) is widely adopted for gas separation due to its high productivity, long adsorbent life, and easy operation. Compared with conventional PSA, a better purification performance can be obtained from VPSA 20 . In the study by Streb and Mazzotti, 21 a two‐column VPSA process was built to purify H 2 from a CO 2 /H 2 /CH 4 mixture using high adsorption pressure.…”
Section: Introductionmentioning
confidence: 99%