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延迟焦化装置吸收稳定系统的模拟优化
引用本文:何顺德,毛玲娟,刘亭亭,赵旭涛,刘旭明.延迟焦化装置吸收稳定系统的模拟优化[J].石化技术与应用,2021,0(1):36-39.
作者姓名:何顺德  毛玲娟  刘亭亭  赵旭涛  刘旭明
作者单位:1.浙江石油化工有限公司,浙江 舟山 316000;2.中国石油寰球工程有限公司 北京分公司,北京 100012
摘    要:为了解决延迟焦化装置吸收稳定系统干气产品中C≥3组分摩尔分数超标的问题,利用Aspen Hysys流程模拟软件对该吸收稳定系统进行了流程模拟,分析了干气产品中C≥3组分的影响因素,并对操作参数进行了优化。结果表明:吸收稳定系统模型可靠,模拟值与生产实际值接近;在补充吸收剂和粗柴油进料量分别为60~70,60~80 t/h,吸收塔中段回流返塔温度低于36 ℃,解析塔塔底再沸器出口温度为140 ℃,稳定塔塔底再沸器出口温度为185~195 ℃的优化条件下,吸收稳定系统干气中C≥3组分摩尔分数降至1.50%,液化气产量增加了1.09 t/h。

关 键 词:延迟焦化  吸收稳定  干气  流程模拟  优化

Simulation optimization on delayed coking unit′s absorption and stabilization system
HE Shun-de,MAO Ling-juan,LIU Ting-ting,ZHAO Xu-tao,LIU Xu-ming.Simulation optimization on delayed coking unit′s absorption and stabilization system[J].Petrochemical Technology & Application,2021,0(1):36-39.
Authors:HE Shun-de  MAO Ling-juan  LIU Ting-ting  ZHAO Xu-tao  LIU Xu-ming
Affiliation:(Zhejiang Petrochemical Co Ltd,Zhoushan 316000,China;Beijing Branch of Huanqiu Construction and Engineering Co Ltd,PetroChina,Beijing 100012,China)
Abstract:In order to solve the problem of the excess C≥3 content in dry gas of absorption and stabilization system within the delayed coking unit,a process mechanism simulation model of absorption and stabilization sysytem within the delayed coking unit was built by the Aspen Hysys software.The affecting factors of C≥3 component in dry gas product were analyzed and the operation conditions were optimized.The results showed that the model of absorption and stabilization system were reliable and the simulation results were close to the actual results.Under the optimized conditions of absorbent feed rate 60-70 t/h,diesel feed rate 60-80 t/h,the temperature of absorption tower lower than 36℃,outlet temperature of reboiler in the adsorption tower at 140℃,outlet temperature of the bottom reboiler in the stabilizer at 185-195℃,the mole fraction of C≥3 component in the dry gas product could be reduced to 1.50%and the output of liquefied gas could be increased by 1.09 t/h.
Keywords:delayed coking  absorption and stabilization  dry gas  process simulation  optimization
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