Simulation and Analysis of CO2 Capturing from Converter Gas Using Monoethanolamine

IF 0.7 4区 工程技术 Q4 ENGINEERING, CHEMICAL
Quanmei Hu, Shijie Wang, Hongming Fang
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引用次数: 0

Abstract

Converter steelmaking is a key part of steel production, and the resulting converter gas contains a large amount of CO2. CO2 capture of converter gas can benefit the reduction of CO2 emissions in the steel industry. In this study, a post-combustion capture process based on monoethanolamine (MEA) was established in Aspen Plus, and the absorption and desorption performance of MEA on converter gas were investigated by simulation using the thermodynamic model of ELECNRTL. Increasing the depletion flow rate, temperature, and MEA concentration can help to improve the CO2 capture rate; the feed position and desorption pressure affect the CO2 desorption effect, and the best desorption effect is achieved when the feed position is the second tray, and the desorption tower pressure is 1.9 bar. The results of the study can provide a new idea for CO2 capture at the end of converter steelmaking, which is of great significance for the progress of CCUS technology in the iron and steel industry.

Abstract Image

利用单乙醇胺从转化气体中捕获二氧化碳的模拟与分析
摘要转炉炼钢是钢铁生产的关键部分,产生的转炉煤气含有大量二氧化碳。对转炉煤气进行二氧化碳捕集有利于减少钢铁行业的二氧化碳排放。本研究在 Aspen Plus 中建立了基于单乙醇胺(MEA)的燃烧后捕集工艺,并利用 ELECNRTL 热力学模型模拟研究了 MEA 对转炉煤气的吸收和解吸性能。提高耗尽流量、温度和 MEA 浓度有助于提高 CO2 捕集率;进料位置和解吸压力影响 CO2 解吸效果,当进料位置为第二托盘、解吸塔压力为 1.9 bar 时,解吸效果最佳。研究结果为转炉炼钢末端的二氧化碳捕集提供了一种新思路,对钢铁行业 CCUS 技术的进步具有重要意义。
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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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