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Modeling and Simulation of CO2 Capture Process for Coal-based Power Plant using Amine Solvent in South Korea

机译:韩国胺溶剂对煤基电厂CO2捕获过程的建模与仿真

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摘要

The interest in carbon capture technology is continuously rising since worldwide climate-change problems have intensified the concern regarding efficient removal of carbon dioxide. Amine-based capture technology is a conventional technology to remove carbon dioxide in natural gas processing, and also can be used for carbon dioxide removal from flue gas in coal-based power plants. In particular, monoethanolamine is a conventional commercial absorbent to remove carbon dioxide and considered as a standard amine absorbent. Due to the high non-ideality of amine, rate-based models have been suggested to describe absorption and desorption of amine absorbent. However, most suggested models were validated against large-scale pilot plant results, and there were few models to consider both absorber and stripper with rate-based model. In this study, we applied two rate-based models introduced by previous literature to the actual pilot plant operation data in 0.1MW-scale Boryeong pilot plant, South Korea and developed a modified model with increased accuracy. The developed model showed good agreements with pilot plant results for both absorber and stripper. However, under low liquid-to-vapor ratio operation with high rich loading value, all model showed worse estimations.
机译:由于全球气候变化问题加剧了有关有效除去二氧化碳的关注,因此对碳捕获技术的兴趣不断上升。基于胺的捕获技术是一种除去天然气加工中二氧化碳的常规技术,也可用于煤基电厂中的烟气中的二氧化碳去除。特别地,单乙醇胺是一种常规的商业吸收剂,以除去二氧化碳并被认为是标准的胺吸收剂。由于胺的高理想性,已经提出基于速率的模型来描述胺吸收剂的吸收和解吸。然而,大多数建议的模型针对大规模的试验厂结果验证,并且少量模型可以考虑吸收器和剥离器,具有基于速率的模型。在这项研究中,我们将以前的文学推出的基于速率的模型应用于0.1MW-Scale Boryeong试点植物,韩国的实际试验工厂运营数据,并开发了一种改进的模型,提高了准确性。开发模式显示了对吸收器和剥离器的试验工厂结果良好的协议。然而,在具有高富富型负载值的低液 - 蒸气比运算下,所有型号显示较差的估计。

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