MEA-DEA-PZ三溶剂体系从储气库中捕获二氧化碳性能的统计优化

Akash Sood, Avinash Thakur, Sandeep Mohan Ahuja
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引用次数: 0

摘要

本实验研究了不同操作因素(MEA/DEA/PZ浓度、温度、操作压力、搅拌速度、时间)对储气层吸附能力的影响。由于目前的方法在生物气藏中具有重要的应用价值,可以提高气体中CH4的纯度并消除二氧化碳。RSM已被用于模拟和优化与低压操作条件相关的二氧化碳捕集过程。最大限度地快速吸收二氧化碳二氧化碳吸收进行了总溶剂(5,10和15% v/v)的温度范围下(20,25和30°C)具有储层压力(1.5,2和2.5 bar)。DEA: MEA的分数限制在(0.2,0.5和0.8),同时加载无水PZ的范围为0 ~ 2 gms;和搅拌速度步进间隔(300,600和900 rpm)。初始吸收率和CO2吸收率(t=15 min)的相对误差分别在±1.93%和±2.25%以内。由此证明,该过程统计模型是合适的,达到了优化的目的。方差分析(ANOVA)结果表明,实验结果与统计模型吻合较好,证实了混合三溶剂的潜力,初始吸收速度快,CO2吸收速度为3.415 gm. CO2/min。和17.779克二氧化碳。RSM成功地优化了混合三溶剂(MEA/DEA/PZ)对储气层CO2的吸收。对于初始吸收率和CO2吸收率(t=15 min),实验设计、二次模型和回归分析在一定范围内预测响应值较为准确和有效,相对误差分别为±1.93%和±2.25%。最佳初始吸收率为3.415 gm. CO2/min,证明了混合三溶剂在较短时间内获得较高吸收率的潜力。快速吸收CO2,计算为17.779 gm. CO2。三维曲面图揭示了工艺参数对CO2吸收的交互作用,同时考虑了MEA/DEA/PZ的协同效应。
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Statistical optimization of carbon dioxide capture performance by tri-solvent system of MEA-DEA-PZ from the stored gas reservoir
Optimize the process parameters for low concentration blended tri-solvent This experimental work has studied the effect of various operating factors (such as MEA/DEA/PZ concentration, temperature, operating pressure, agitation speed, and time) on absorption capacity from stored gas reservoir. As the current approach has a significant application to the bio-gas reservoirs to enhance the purity of CH4 and elimination of CO2 from the gas. The RSM has been used to model and optimize the CO2 capture process relating to low-pressure operating conditions. Maximize rapid CO2 absorption The CO2 absorption was performed for the total solvent (5, 10, and 15 %v/v) under the temperature range of (20, 25, and 30 °C) having reservoir pressure (1.5, 2, and 2.5 bar). The fraction of DEA: MEA was restricted to (0.2, 0.5, and 0.8) with simultaneous loading of anhydrous PZ range from 0 to 2 gms; and agitation speed for step intervals of (300, 600, and 900 rpm). The relative error was found to be within ±1.93% and ± 2.25% for the initial absorption rate and CO2 absorption (at t=15 min.) respectively. According to this evidence, the process statistical model suits to be appropriate and accomplishes the goal of optimization. The findings of the analysis of variance (ANOVA) illustrates good agreement between the experimental and statistical model confirming the potential of blended tri-solvent by aggressive initial rate of absorption and rapid CO2 absorption of 3.415 gm. CO2/min. & 17.779 gm. CO2 respectively. RSM has successfully optimised the CO2 absorption by blended tri-solvent (MEA/DEA/PZ) for stored gas reservoir. For the initial absorption rate and CO2 absorption (at t=15 min.), the experimental design, quadratic models, and regression analysis developed for these variables were found to be reasonably accurate and efficient in forecasting response values in a range of the variables, with a relative error of ±1.93% and ± 2.25%, respectively. The potential of blended tri-solvent to attain a very high degree of absorption in a relatively short amount of time was proved by the optimum value of initial absorption rate, which was calculated to be 3.415 gm. CO2/min. and rapid CO2 absorption, which was calculated to be 17.779 gm. CO2. The 3D surface plots have shed light on the interactive effects that the process parameters have on the CO2 absorption while the synergistic effects of MEA/DEA/PZ have been taken into consideration.
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Recent Innovations in Chemical Engineering
Recent Innovations in Chemical Engineering Chemical Engineering-Chemical Engineering (all)
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2.10
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20
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