Effect of thermal dynamics and column geometry of pressure swing adsorption on hydrogen production from natural gas reforming

Shabbani, Hind Jihad Kadhim; Ali, Ammar; Hasan, Masad Mezher; Helwani, Zuchra; Kim, Jinsoo; Othman, Mohd Roslee

doi:10.1016/j.jgsce.2023.205047

Cited by 5 publications

(1 citation statement)

References 41 publications

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“…However, to achieve 99% purity, various technological processes must be implemented to separate this compound from others. One of these processes to obtain a high degree of purity is the Pressure Swing Adsorption (PSA) process [1][2][3][4][5][6][7]. This PSA process is a method of separating gas mixtures using adsorbents (natural or synthetic zeolites).…”

Section: Introductionmentioning

confidence: 99%

Pressure Swing Adsorption Plant for the Recovery and Production of Biohydrogen: Optimization and Control

Brizuela-Mendoza,

Sorcia-Vázquez,

Rumbo-Morales

et al. 2023

Processes

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New biofuels are in demand and necessary to address the climate problems caused by the gases generated by fossil fuels. Biohydrogen, which is a clean biofuel with great potential in terms of energy capacity, is currently impacting our world. However, to produce biohydrogen, it is necessary to implement novel processes, such as Pressure Swing Adsorption (PSA), which raise the purity of biohydrogen to 99.99% and obtain a recovery above 50% using lower energy efficiency. This paper presents a PSA plant to produce biohydrogen and obtain a biofuel meeting international criteria. It focuses on implementing controllers on the PSA plant to maintain the desired purity stable and attenuate disturbances that affect the productivity, recovery, and energy efficiency generated by the biohydrogen-producing PSA plant. Several rigorous tests were carried out to observe the purity behavior in the face of changes in trajectories and combined perturbations by considering a discrete observer-based LQR controller compared with a discrete PID control system. The PSA process controller is designed from a simplified model, evaluating its performance on the real nonlinear plant considering perturbations using specialized software. The results are compared with a conventional PID controller, giving rise to a significant contribution related to a biohydrogen purity stable (above 0.99 in molar fraction) in the presence of disturbances and achieving a recovery of 55% to 60% using an energy efficiency of 0.99% to 7.25%.

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