18 research outputs found

    Sensitivity Analysis by the 2k Factorial Experimental Design of CO2 Capture with Amine Gas Treating Process Using Aspen Plus

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    It is well-known that CO2 capture with amine treating process has been used and developed in industry to purify the off-gas from the process. Nowadays, the simulation via computer software is one of the most effective tools to improve and optimize the existing process because there is no environmental effect and uses lower cost compared to the experiments. Generally, for sensitivity analysis, the parameters are studied individually without considering the interaction effects between parameters. In this study, the equilibrium model of CO2 capture by monoethanolamine (MEA) pilot plant was modelled using Aspen Plus by ENRTL-RK thermodynamics property model. A sensitivity analysis with the 2k factorial experimental design was performed. The main and interaction effects of five parameters (which are liquid-gas mass ratio (L/G), sour gas temperature, lean MEA temperature, lean MEA concentration and CO2 concentration in sour gas) were then investigated. From the sensitivity analysis with the 2k factorial experimental design, liquid-gas mass ratio contributed 75.82% to CO2 removal efficiency; while CO2 concentration in sour gas and liquid-gas mass ratio (L/G) occupied 29.14% and 17.36% to CO2 removal efficiency and specific heat duty at the reboiler, respectively

    Atmospheric Dispersion of Gaseous Amine Emitted from Absorption-Based Carbon Capture Plants in Saskatchewan, Canada

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    Carbon capture and storage (CCS) is a key strategy to reduce carbon dioxide (CO2) emissions from industrial point sources. Gas absorption into aqueous amine solutions is an immediate technology for carbon capture that has been tested in many demonstration plants. One concern of using the amine-based carbon capture process is the environmental impacts and health risk caused by emissions of gaseous amines from the process to the atmosphere. This work applied the knowledge of air dispersion modelling to map out the atmospheric dispersion and resulting ground surface level concentration of gaseous amine, namely Monoethanolamine (MEA), from a coal-fired power plant (with a carbon capture unit) and in surrounding areas, in case of an accidental leaking of amine from the CCS system to the atmosphere. The chosen study area was centered on a coal-fired power plant in the province of Saskatchewan, Canada. The Environmental Protection (EPA) approved air pollution model (CALPUFF), together with meteorological and geophysical data were used for gaseous amine dispersion simulation. The results were presented, and the ground amine concentrations were found to vary with wind patterns (wind direction and wind speed). The maximum ground surface amine concentrations standard is 15.2 µg/m3. However, the results showed that when using the water wash unit, the MEA concentrations were well below the standard level, compared to those without the water wash unit. It is essential for CO2 capture plants located in highly populated areas to be equipped with water wash units

    Atmospheric Dispersion of Gaseous Amine Emitted from Absorption-Based Carbon Capture Plants in Saskatchewan, Canada

    No full text
    Carbon capture and storage (CCS) is a key strategy to reduce carbon dioxide (CO2) emissions from industrial point sources. Gas absorption into aqueous amine solutions is an immediate technology for carbon capture that has been tested in many demonstration plants. One concern of using the amine-based carbon capture process is the environmental impacts and health risk caused by emissions of gaseous amines from the process to the atmosphere. This work applied the knowledge of air dispersion modelling to map out the atmospheric dispersion and resulting ground surface level concentration of gaseous amine, namely Monoethanolamine (MEA), from a coal-fired power plant (with a carbon capture unit) and in surrounding areas, in case of an accidental leaking of amine from the CCS system to the atmosphere. The chosen study area was centered on a coal-fired power plant in the province of Saskatchewan, Canada. The Environmental Protection (EPA) approved air pollution model (CALPUFF), together with meteorological and geophysical data were used for gaseous amine dispersion simulation. The results were presented, and the ground amine concentrations were found to vary with wind patterns (wind direction and wind speed). The maximum ground surface amine concentrations standard is 15.2 µg/m3. However, the results showed that when using the water wash unit, the MEA concentrations were well below the standard level, compared to those without the water wash unit. It is essential for CO2 capture plants located in highly populated areas to be equipped with water wash units

    Comparative mass transfer performance of CO2 absorption using highly-concentrated AMP-PZ-MEA ternary amines solvent

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    Mass transfer performance of CO2 absorption is based on selecting an effective amine solvent, hence, an examination of the overall mass transfer coefficient (KGav) and CO2 removal efficiency, is significant for obtaining the most favorable CO2 capture performance. This study compared KGavand CO2 removal efficiency of the highly concentrated ternary amines solvent at various concentrations with the benchmark monoethanolamine (MEA) in a laboratory scale CO2 absorption packed-column. The six blends of 2-amino-2-methyl-1-propanol (AMP), piperazine (PZ), and MEA are formulated as ternary solvents at high PZ/AMP molar ratio (1.25–3.75) and total amine concentration (6M and 7M). Be noted that the solvent precipitation was not observed in this study. The absorption experiment was operated at 303 K temperature, 12% CO2 by volume, and CO2 loading of 0.25 mol CO2/mol amine. The experimental results showed that KGavand CO2 removal efficiency for AMP-PZ-MEA and MEA solvents increased as total amine concentration increased. Also, KGavand CO2 removal efficiency of the PZ-AMP-MEA solvent are greater than those of 5M MEA. An increase of PZ/AMP molar ratio had a positive influence on the absorption performance for ternary amines. In comparison with the benchmark 5M MEA, all the studied AMP-PZ-MEA solvents showed an outperformance. The two suggested formulae, which are 0.95:3.55:1.5 (6M) and 0.95:3.55:2.5 (7M), possessed approximately 1.5 and 2.5 times higher KGavand 17.34% and 17.63% greater CO2 removal efficiency compared with the benchmark 5M MEA

    <sup>13</sup>C NMR Spectroscopy of a Novel Amine Species in the DEAB–CO<sub>2</sub>–H<sub>2</sub>O system: VLE Model

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    In the present work, ion speciation studies in solutions of the novel amine 4-(diethylamine)-2-butanol (DEAB), at various CO<sub>2</sub> loadings (0–0.8 mol of CO<sub>2</sub>/mol of amine) and amine concentrations (0.52–1.97 M), were determined by <sup>13</sup>C nuclear magnetic resonance (NMR) spectroscopy. In addition, the dissociation constant <i>K</i> of DEABH<sup>+</sup> was determined at 24.5, 35, and 45 °C using a pH meter. The ion speciation plot, which contains various sets of concentrations of DEAB, protonated DEAB, bicarbonate, and carbonate, was successfully generated. Because DEAB is a novel solvent, this is the first time that the ion speciation plots of the DEAB–CO<sub>2</sub>–H<sub>2</sub>O system have been developed. It is also the first time that the <sup>13</sup>C NMR calibration technique was applied to develop the vapor–liquid equilibrium (VLE) model for an amine–CO<sub>2</sub>–H<sub>2</sub>O system. The results obtained from the present work can be a great help for the further analysis of the DEAB VLE model, as well as CO<sub>2</sub> absorption and kinetics studies. Furthermore, it was found that the novel <sup>13</sup>C NMR calibration technique developed in this work provides higher accuracy than the conventional technique
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