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催化裂化吸收稳定系统改进流程对比分析
引用本文:张继东,孟硕,张海滨,卢迪.催化裂化吸收稳定系统改进流程对比分析[J].石油学报(石油加工),2018,34(3):515-520.
作者姓名:张继东  孟硕  张海滨  卢迪
作者单位:中国海洋石油总公司 节能减排监测中心, 天津 300457
摘    要:利用流程模拟技术对催化裂化吸收稳定系统不同流程进行模拟计算,从产品收率、系统能耗的角度出发讨论不同流程优劣,为该过程的工艺改进提供参考和启示。计算结果表明,压缩富气直接进解吸塔的改进流程较常规流程热负荷下降1026%、冷却负荷下降1677%、液化气中丙烯产量增加78 kg/h;稳定塔侧线轻汽油作补充吸收剂流程较常规流程热负荷下降808%、冷却负荷下降062%、液化气中丙烯产量增加58 kg/h,但是C4损失量增加299 kg/h。压缩富气直接进解吸塔的改进流程效果明显,具有非常好的应用前景,而对于稳定塔侧线轻汽油作补充吸收剂流程的适用条件有待进一步研究。

关 键 词:催化裂化  吸收稳定  模拟  能耗  优化  
收稿时间:2017-07-07

Comparison and Analysis of the Improved Absorption Stabilization System in Catalytic Cracking Process
ZHANG Jidong,MENG Shuo,ZHANG Haibin,LU Di.Comparison and Analysis of the Improved Absorption Stabilization System in Catalytic Cracking Process[J].Acta Petrolei Sinica (Petroleum Processing Section),2018,34(3):515-520.
Authors:ZHANG Jidong  MENG Shuo  ZHANG Haibin  LU Di
Affiliation:Energy Conservation & Pollution Monitor Center, CNOOC, Tianjin 300457, China
Abstract: Both advantages and disadvantages of different absorption stabilization systems in catalytic cracking process are discussed based on the product yield and system energy consumption by process simulation technology, which provides reference and inspiration for the process improvement. Results show that, compared with the conventional process, in the improved process that compressed gas rich directly intakes into desorption tower, the decrease of heat load by 1026%, the decrease of cooling load by 1677% and the increase of propylene yield in liquefied gas by 78 kg/h. when light gasoline from stabilizer side line as supplementary absorbent process, the heat load decreases by 808%, the cooling load decreases by 062%, and the propylene production in the LPG increases by 58 kg/h, but the C4 loss increases by 299 kg/h. Consequently, the improved process presents a very good application prospect, and the adaptability of stabilizer side cut naphtha as supplementary absorbent process needs to be further optimized.
Keywords:catalytic cracking  absorption stabilization system  simulation  energy consumption  optimization  
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