Simulation and analysis of dual-reflux pressure swing adsorption using silica gel for blue coal gas initial separation

Guan, Zhongbo; Wang, Yayan; Yu, Xiuxin; Shen, Yuanhui; He, Dongrong; Tang, Zilong; Li, Wenbin; Zhang, Donghui

doi:10.1016/j.ijhydene.2020.09.209

Cited by 19 publications

(3 citation statements)

References 33 publications

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“…Consequently, reliable simplified approaches to the design of DRPSA processes are not available. As a matter of fact, most contributions from the literature, involving either experiments − or mathematical models, − designed DRPSA processes through either trial-and-error approaches or using many oversimplifying assumptions. Among the latter approaches, it is worth mentioning the so-called equilibrium theory. ,,,,, Even if this approach can predict the effect of changing the main design parameters, the results are reliable provided the fulfillment of major assumptions, such as instantaneous equilibrium conditions, linear equilibrium isotherms, ideal gas behavior, ideal plug flow conditions in the fixed-bed, isothermal operation, negligible pressure drop, and complete separation of the two components of the mixture.…”

Section: Introductionmentioning

confidence: 99%

On the Design of a Dual Reflux Pressure Swing Adsorption Process

Florit,

Dalla Giovanna,

Storti

et al. 2024

Ind. Eng. Chem. Res.

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Due to the complex interaction among the process operating parameters originated by the two refluxes in dual reflux pressure swing adsorption, to foresee the influence of changes in the main operating parameters is not trivial. On one hand, the reliable rules of thumb effective to design such a process are not available. On the other hand, multi-objective optimization (MOO) algorithms coupled with detailed modeling of the process are also not viable to be used as a daily design tool since the aforementioned complexity can result in huge CPU time demand to achieve cyclic steady-state conditions. In this work, a design tool based on MOO using a properly simplified model of the unit was used to identify suitable relationships between selected target parameters (typically, product purity and energy demand) and the main operating parameters, as suggested by the equilibrium theory. These relationships allowed building a Master plot summarizing the effect of changing such operating parameters on separation performance as well as quickly identifying a small enough operating window where both the target parameters achieve the desired values. The whole procedure has been investigated and validated with reference to the separation of the binary mixture CO 2 −N 2 as a case study.

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Section: Introductionmentioning

confidence: 99%

On the Design of a Dual Reflux Pressure Swing Adsorption Process

Florit,

Dalla Giovanna,

Storti

et al. 2024

Ind. Eng. Chem. Res.

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“…Pressure swing adsorption (PSA) is a typical cyclic process, in which multiple columns are interconnected and operated according to a specified sequence to realize gas separation and purification [1]. As a commercial, robust and flexible separation unit, PSA has been widely applied in the fields of air separation, hydrogen purification, carbon dioxide capture, biogas upgrading, low-concentration syngas enrichment and so on [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Review of Numerical Research on the Pressure Swing Adsorption Process

et al. 2022

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The pressure swing adsorption (PSA) process has been considered a promising method for gas separation and purification. However, experimental methods are time-consuming, and it is difficult to obtain the detailed changes in variables in the PSA process. This review focuses on the numerical research developed to realize the modelling, optimization and control of the cyclic PSA process. A complete one-dimensional mathematical model, including adsorption bed, auxiliary devices, boundary conditions and performance indicators, is summarized as a general modelling approach. Key simplified assumptions and special treatments for energy balance are discussed for model reliability. Numerical optimization models and control strategies are reviewed for the PSA process as well. Relevant attention is given to the combination of deep-learning technology with artificial-intelligence-based optimization algorithms and advanced control strategies. Challenges to further improvements in the adsorbent database establishment, multiscale computational mass transfer model, large-scale PSA facility design, numerical computations and algorithm robustness are identified.

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“…Researchers have made considerable efforts in low grade waste heat recovery using various heat pump technologies and innovative integrated power cycle and heat pump systems, utilizing working fluids with low environmental impact [1]. Adsorption based technologies are gaining prominence in low-grade waste heat and renewable energy utilization encapsulating refrigeration [2], desalination [3,4,5], dehumidification [6,7,8,9,10], atmospheric water harvesting [11,12], carbon capture and gas sequestration [13,14,15,16,17], air conditioning [18,19]. These technologies offer an 3 This preprint research paper has not been peer reviewed.…”

Section: Introductionmentioning

confidence: 99%