Simulation of elevated temperature solid sorbent CO2 capture for pre-combustion applications using computational fluid dynamics

Chen, Qin; Rosner, Fabian; Rao, Ashok; Samuelsen, Scott; Jayaraman, Ambal; Alptekin, Gökhan

doi:10.1016/j.apenergy.2019.01.042

Cited by 34 publications

(4 citation statements)

References 29 publications

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“…The residuals represented relative errors in the calculation of a particular variable to measure convergence. All simulations in this study were carried out in ANSYS Fluent, a popular commercial simulation package [17][18][19].…”

Section: Simulation Designmentioning

confidence: 99%

Experimental and numerical investigation of the performance of bogie chassis heater deicing systems

Liu

et al. 2020

Energy and Buildings

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Section: Simulation Designmentioning

confidence: 99%

Experimental and numerical investigation of the performance of bogie chassis heater deicing systems

Liu

et al. 2020

Energy and Buildings

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“…This plays a significant supporting role in enhancing the adsorption property. Chen et al 39 believed that computational fluid dynamics (CFD) could provide a practical and powerful tool for the design of adsorption bed reactors and the optimization of the CO 2 adsorption process, and could be applied to the design of adsorption reactors in commercial and industrial fields. Hou et al 40 demonstrated that computational fluid dynamics (CFD) had drawn more significant interest than conventional centralized parameter models in offering more precise reactor design and optimization methodologies.…”

Section: Introductionmentioning

confidence: 99%

Study on the CO₂ Capture Separation Process by Temperature Swing Adsorption Based on Nitrogen-Doped Porous Carbon

Du,

Zheng,

Ren

et al. 2023

Energy Fuels

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CO 2 capture technology is a crucial method to achieve global carbon emission reduction, and the benefits of the physical adsorption method in the post-combustion CO 2 capture technology are low energy usage and running costs. Nitrogendoped porous carbon is selected as a solid adsorbent due to its high specific surface area and excellent adsorption selectivity. This study uses nitrogen-doped porous carbon prepared in experiment to determine its main properties, and the adsorption equilibrium isotherm is fitted. The adsorption bed model is established using ANSYS Fluent to simulate the heat and mass transfer of the adsorption process and fluid flow and is verified by the published experimental data. Temperature swing adsorption (TSA) is divided into three stages: adsorption, desorption, and cooling. The effects of different inlet velocities and porosities on adsorption and desorption performance are studied. The results reveal that the mesh verification and experimental verification are in good agreement with the results so that the numerical model can be used for species transport processes of various sizes, geometric shapes, and other mixed gases. It is essential to mention that this adsorption cycle process can recover excellent purity and decent recovery and productivity of product gases, which is of great significance for the practical application and industrialization of carbon capture technology.

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“…Various commercial numerical platforms have been applied for the modeling of the PSA process, such as Aspen Adsorption [15], gPROMS [16,17], MATLAB [18] and FLU-ENT [19]. The common approach used by the numerical calculations is the method of lines (MOL), which can discretize spatial derivatives to convert PDAEs to differential-algebraic equations (DAEs) or algebraic equations (AEs) and then solve them through different solvers.…”

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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Simulation of elevated temperature solid sorbent CO2 capture for pre-combustion applications using computational fluid dynamics

Cited by 34 publications

References 29 publications

Experimental and numerical investigation of the performance of bogie chassis heater deicing systems

Experimental and numerical investigation of the performance of bogie chassis heater deicing systems

Study on the CO₂ Capture Separation Process by Temperature Swing Adsorption Based on Nitrogen-Doped Porous Carbon

A Review of Numerical Research on the Pressure Swing Adsorption Process

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Simulation of elevated temperature solid sorbent CO2 capture for pre-combustion applications using computational fluid dynamics

Cited by 34 publications

References 29 publications

Experimental and numerical investigation of the performance of bogie chassis heater deicing systems

Experimental and numerical investigation of the performance of bogie chassis heater deicing systems

Study on the CO2 Capture Separation Process by Temperature Swing Adsorption Based on Nitrogen-Doped Porous Carbon

A Review of Numerical Research on the Pressure Swing Adsorption Process

Contact Info

Product

Resources

About

Study on the CO₂ Capture Separation Process by Temperature Swing Adsorption Based on Nitrogen-Doped Porous Carbon