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MEA活化MDEA工艺天然气选择性脱硫脱碳研究 被引量:10

Selective removal of H2S over CO2 from natural gas by MEA-activated MDEA
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摘要 为改善甲基二乙醇胺(MDEA)的天然气选择性脱硫脱碳性能,降低溶剂再生能耗,提出采用一乙醇胺(MEA)活化MDEA法进行天然气选择性脱硫脱碳,并采用Aspen HYSYS对工艺进行了模拟。结果表明:添加MEA加速了吸收剂的H2S、CO2吸收速度,提高了脱硫脱碳效率,H2S选择因子由55.5提高至96.6,贫液循环量下降,综合考虑吸收性能和再生能耗,以4%的MEA添加量为宜;MEA活化MDEA工艺可将再生能耗由3.54 GJ/t CO2显著降低至2.15GJ/t CO2。该工艺可显著活化传统MDEA工艺的选择性脱硫脱碳性能,并大幅降低溶剂的再生能耗,有广阔的应用前景。 A chemical absorption process using monoethanolamine(MEA)-activated methyl diethanolamine(MDEA) was proposed to achieve the selective removal of H2S over CO2 from natural gas and reduce energy consumption, and the process was simulated by Aspen HYSYS. The results show that the addition of MEA accelerates the absorption of H2S and CO2, improves the efficiency of desulfurization and decarbonization, enhances the selection factor of H2S from 55.5 to 96.6, and decreases the circulation of lean solution. Considering the absorption performance and regeneration energy consumption, it is appropriate to add 4%MEA. The regeneration energy consumption can be significantly reduced from 3.54 GJ/t CO2 to 2.15 GJ/t CO2 by adding MEA. This study provides a promising candidate for selective removal of H2S over CO2 from natural gas with high desulfurization and decarbonization efficiencies and low regeneration energy requirement.
作者 王茹洁 刘闪闪 陈博 寇自阳 黄一峻 江雷 谢其均 WANG Ru-jie;LIU Shan-shan;CHEN Bo;KOU Zi-yang;HUANG Yi-jun;JIANG Lei;XIE Qi-jun(Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control,Department of Environmental Science and Engineering,North China Electric Power University,Baoding 071003,China;MOE Key Laboratory of Resources and Environmental Systems Optimization,Beijing 102206,China;SINOPEC Dalian Research Institute of Petroleum and Petrochemicals,Dalian 116045,China)
出处 《天然气化工—C1化学与化工》 CAS CSCD 北大核心 2019年第5期45-49,共5页 Natural Gas Chemical Industry
基金 国家自然科学基金(21805084,21706061) 河北省自然科学基金(B2018502046) 中央高校基本科研业务费专项资金资助(2019MS110)
关键词 混合胺 天然气 选择性脱硫脱碳 流程模拟 HYSYS mixed amines natural gas selective desulfurization and decarbonization process simulation HYSYS
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