Modeling of a CO2-piperazine-membrane absorption system

Zhang, Zhien; Feng, Chen; Rezakazemi, Mashallah; Zhang, Wenxiang; Chen, Lu; Chang, Haixing; Quan, Xuejun

doi:10.1016/j.cherd.2017.11.024

Cited by 93 publications

(30 citation statements)

References 37 publications

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“…This was because considering the membrane contactors in series, the gas and liquid contact area increased and the gas and liquid reaction time in the contactor was longer (Zhang et al, 2017(Zhang et al, , 2018. Thus, the SO2 absorption efficiency improved.…”

Section: Effect Of the Number Of The Membrane Contactorsmentioning

confidence: 81%

Effect of flow and module configuration on SO2 absorption by using membrane contactors

2018

Global NEST Journal

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Sulfur dioxide (SO2) emissions lead to negative environmental impacts and it is considered as an indicator for the larger group of gaseous sulfur oxides (SOx) in the air.In this paper, the dimethylamine (DMA) solution was used as the absorbent in a α-Al2O3 hollow fiber membrane contactor that is operated under several conditions of gas velocity, liquid velocity, and 290 K operating temperature.The effects of gas and liquid phase properties and module configuration on SO2 absorption efficiency in the hollow fiber membrane contactor were investigated. Simulation results showed that the changes of gas phase velocity, liquid phase velocity, and concentration have great influences on the absorption efficiency of SO2. An increase of the gas flow rate decreases the SO2 absorption efficiency, while an increase of the liquid flow rate has the opposite effect, increasing the efficiency. Because gas in the membrane module stays for a longer time, more absorption time promotes the gas and liquid reaction.However, the changes of the volume fraction of SO2 in the mixed gas are not significant to SO2 absorption. The simulation model could provide guidelines for selecting suitable fluid properties during the SO2 absorption process in a hollow fiber membrane contactor.

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Section: Effect Of the Number Of The Membrane Contactorsmentioning

confidence: 81%

Effect of flow and module configuration on SO2 absorption by using membrane contactors

2018

Global NEST Journal

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“…The removal efficiency of CO 2 is the first major indicator to determine the feasibility of the process. The removal efficiency is used to display the absorption effect that is defined as

{CO}_{2} removal efficiency = \frac{total amount of {CO}_{2} entering the absorber - the {CO}_{2} content of the gas out}{total amount of {CO}_{2} entering the absorber} \times 100 % .

…”

Section: Resultsmentioning

confidence: 99%

“…The removal efficiency of CO 2 is the first major indicator to determine the feasibility of the process. The removal efficiency is used to display the absorption effect that is defined as 8,44 Figure 2A depicts the absorption pressure impact on the removal efficiency of CO 2 . It indicated that the CO 2 removal efficiency gradually increased from 31% at 0.2 bar and CO 2 was completely removed around 2 bar.…”

Section: Co 2 Chemical Absorptionmentioning

confidence: 99%

Multiobjective optimization for exergoeconomic analysis of an integrated cogeneration system

Zhang

Pan

et al. 2019

Int J Energy Res

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Summary In this paper, a novel cogeneration system integrating Kalina cycle, CO2 chemical absorption, process, and flash‐binary cycle is proposed to remove acid gases in the exhaust gas of solid oxide fuel cell (SOFC) system, improve the waste heat utilization, and reduce the cold energy consumed during CO2 capture. In the CO2 chemical absorption process, the methyldiethanolamine (MDEA) aqueous solution is utilized as a solvent, and feed temperature and absorber pressure are optimized via Aspen Plus software. The single‐objective and multiobjective optimization are carried out for the flash‐binary cycle subsystem. Results show that when the multiobjective optimization is applied to identify the exergoeconomic condition, the cogeneration system can simultaneously satisfy the high thermodynamic cycle efficiency and also the low product unit cost. The optimal results of the exergy efficiency, product unit cost, and normalized CO2 emissions obtained by Pareto chart were 75.84%, 3.248 $/GJ, and 13.14 kg/MWhr, respectively.

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“…CFD is a powerful tool to design, analyze, and develop different chemical processes including membrane separation [20][21][22][23][24][25][26], various reactors, and other equipment. Usually, the coupled momentum, heat and mass transfer equations are used for the CFD models [27][28][29][30][31][32].…”

Section: Cfd Modelingmentioning

confidence: 99%

Development of a 3D Hybrid Intelligent‐Mechanistic Model for Simulation of Multiphase Chemical Reactors

Rezakazemi

Shirazian

2018

Chem Eng & Technol

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A novel intelligent‐mechanistic model was developed to understand the behavior of multiphase chemical reactors. Computational fluid dynamics (CFD) and an intelligent algorithm were combined to predict different levels of 3D cylindrical bubble‐column reactors. An adaptive neuro‐fuzzy inference system (ANFIS) was used as the intelligence algorithm, and different ANFIS parameters were evaluated. With about one third of the training data the method can predict the overall behavior of the gas fraction in the reactor. A number of rules significantly influence the accuracy of the ANFIS method. After finding appropriate parameters, the method is applied for prediction of points which are not simulated with CFD, representing ANFIS mesh refinement. Also, bubble‐column reactors without training of exact values of measured data or numerical results can be predicted. Main advantages are time savings and reduction of computational expenses.

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Modeling of a CO2-piperazine-membrane absorption system

Cited by 93 publications

References 37 publications

Effect of flow and module configuration on SO2 absorption by using membrane contactors

Effect of flow and module configuration on SO2 absorption by using membrane contactors

Multiobjective optimization for exergoeconomic analysis of an integrated cogeneration system

Development of a 3D Hybrid Intelligent‐Mechanistic Model for Simulation of Multiphase Chemical Reactors

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