Iron and steel production is a highly energy intensive process which has been reported to produce about 10% of worldwide CO2 from fossil fuel. Thus, it has become a potential industry for CO2 removal process. High energy consumption of amine scrubbing has caused the challenge for the large scale application. Even though recent studies have been done to reduce the energy consumption, there are lacking of focus on the optimization of stripper operating conditions. Thus, the objective of this research is to investigate the relationships of the stripper operating parameters on the reboiler heat duty and CO2 removal percentage in the stripper. The modeling was done by using rate-based model in Aspen Plus with “MEA Property Insert” which described a MEA-H2O-CO2 system thermodynamically with electrolyte-NRTL model. The column specifications were adapted from a pilot plant in University of Texas, Austin and the flue gas flow and compositions were adapted from Arasto et al. (2012). From the results, it showed that the increase in stripper with higher MEA concentration had reduced the reboiler duty up to 20 % and higher rich solvent temperature were able to reduce the reboiler heat duty. Besides that, the increase of stripper pressure had increased CO2 removal efficiency in the stripper yet the CO2 removal percentage was remained constant with the increase in rich solvent temperature. Lower rich solvent loadings with constant lean solvent loadings, molar flow rate of CO2 exiting the stripper and mass flow rate of MEA solvent enabled the reduction in reboiler heat duty. Even though high stripper temperature enables better performance, the stripper temperature should be maintained below 125 °C to avoid MEA degradation. Besides that, it is suggested to use lower lean solvent flow rate so that the output changes can be observed easily. Based on the results, it can be concluded that the hypotheses were accepted. The findings of this study are useful as the reference for future amine scrubbing application on the iron ore reduction unit and to reduce the energy requirement of the process
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机译：钢铁生产是一个高度能源密集型的过程，据报道，该过程可从化石燃料中产生全球约10％的二氧化碳。因此，它已成为去除二氧化碳的潜在产业。胺洗涤的高能耗对大规模应用提出了挑战。即使最近进行了减少能耗的研究，但仍缺乏对汽提塔操作条件的优化的关注。因此，本研究的目的是研究汽提塔操作参数与汽提塔中再沸器热负荷和CO 2去除百分比的关系。通过在Aspen Plus中使用基于速率的模型和“ MEA Property Insert”进行建模，该模型使用电解质-NRTL模型热力学描述了MEA-H2O-CO2系统。色谱柱规格改编自德克萨斯大学奥斯汀分校的中试工厂，烟气流量和成分改编自Arasto等。 （2012）。从结果可以看出，随着MEA浓度的增加，汽提塔的增加将再沸器的负荷降低了20％，而较高的浓溶剂温度能够降低再沸器的热负荷。除此之外，汽提塔压力的增加提高了汽提塔中的CO2去除效率，但随着富溶剂温度的升高，CO2去除率保持恒定。在恒定的稀溶剂负载下，较低的浓溶剂负载，离开汽提塔的CO2摩尔流量和MEA溶剂的质量流量使得能够降低再沸器的热负荷。即使较高的汽提塔温度可以提供更好的性能，但汽提塔温度应保持在125°C以下，以避免MEA劣化。除此之外，建议使用较低的稀溶剂流速，以便于观察输出变化。根据结果，可以得出结论：假设被接受。这项研究的结果可为将来在铁矿石还原装置上进行胺洗涤应用和降低工艺能耗提供参考。
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