|本期目录/Table of Contents|

[1]钟湘生,代恩东,毛玲娟,等.380万t/a连续重整装置混合重石脑油原料的模拟优化及应用[J].石化技术与应用,2023,3:223-229.
 ZHONG Xiang-sheng,DAI En-dong,MAO Ling-juan,et al.Simulation optimization and application of mixed heavy naphtha feedstockin 3.8 Mt/a continuous catalytic reforming unit[J].Petrochemical technology & application,2023,3:223-229.
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380万t/a连续重整装置混合重石脑油原料的模拟优化及应用(PDF)

《石化技术与应用》[ISSN:1009-0046/CN:62-1138/TQ]

期数:
2023年3期
页码:
223-229
栏目:
出版日期:
2023-05-10

文章信息/Info

Title:
Simulation optimization and application of mixed heavy naphtha feedstockin 3.8 Mt/a continuous catalytic reforming unit
文章编号:
1009-0045(2023)03-0223-07
作者:
钟湘生1代恩东1毛玲娟12刘亭亭13*陈梦君1张青福1刘俊贤4
(1.浙江石油化工有限公司,浙江 舟山 316000; 2.华北电力大学 能源动力与机械工程学院,北京 102208;3.浙江省绿色石化技术创新中心,浙江 宁波 315048; 4.广东辛孚科技有限公司 杭州分公司,浙江 杭州 310051)
Author(s):
ZHONG Xiang-sheng1DAI En-dong1MAO Ling-juan12 LIU Ting-ting13*CHEN Meng-jun1ZHANG Qing-fu1 LIU Jun-xian4
(1. Zhejiang Petroleum & Chemical Co Ltd,Zhoushan 316000, China;2. Energy,Power and Mechanical Engineering College,North China Electric Power University, Beijing 102208,China;3. Zhejiang Provincial Innovation Center of Green Petrochemical Technology, Ning
关键词:
重石脑油混合原料连续重整SP-Reform流程模拟软件模拟与优化馏程装置效益最大化
Keywords:
heavy naphtha feedstock continuous catalytic reforming SP-Reform process simulation software simulation and optimization distillation range maximum economic benefits of the unit
分类号:
TE 966;TE 626.9
DOI:
DOI:10.19909/j.cnki.ISSN1009-0045.2023.03.0223
文献标识码:
B
摘要:
利用广东辛孚科技有限公司开发的SP-Reform流程模拟软件,在浙江石油化工有限公司380万t/a连续重整装置上建立了全流程反应机理模型,并结合其3种重石脑油原料馏程差异的生产实际,进行了模型的模拟优化。结果表明:建模后的优化模拟结果与装置实际工况基本相吻合,特别是关键目标产品C≥6重整生成油性质相关指标与实际工况的相近,说明所建模型可靠,可用于该装置的工艺流程优化及生产指导;在保持柴油加氢裂化重石脑油与蜡油加氢裂化重石脑油的重整进料掺混比为1∶1情况下,焦化石脑油加氢重石脑油的掺混质量分数不宜超过57%,以确保C≥6重整生成油的溴指数合格;当市场上苯产品畅销且创效较好时,应控制该装置的精制重石脑油混合原料初馏点不高于86 ℃,以多产苯;否则,应将其控制不低于90 ℃,以多产轻石脑油去乙烯装置,助力生产其他高附加值产品;为了尽可能保留产物中C9~10 芳烃有效组分含量,同时减少C≥11重芳烃含量,宜控制其精制重石脑油混合原料终馏点不高于 172 ℃较好,以确保该装置经济效益最大化。
Abstract:
Using the SP-Reform process simulation software developed by Guangdong Syspetro Technology Co Ltd,the whole process reaction mechanism model was established for 3.8 Mt/a continuous catalytic reforming unit of Zhejiang Petroleum & chemical Co Ltd,and the simulation and optimization of 3 different distillation heavy naphtha feedstocks were conducted by the mechanism model. The results showed that the optimized simulation results after modeling were basically consistent with the actual working conditions of this unit,especially for the key target product properties of the generated C≥ 6 reforming oil were similar to the actual working conditions,indicating that the mechanism model was reliable and could be used for the process optimization and operation guidance of this unit. It was recommended that,while maintaining the reforming feed blending ratio of diesel cracked heavy naphtha to wax cracked heavy naphtha at 1∶1,the blending mass fraction of heavy naphtha from coking naphtha hydrogenation should not exceed 57%,so as to ensure that the bromine index of C≥6 reforming oil product was qualified. When benzene products were sold well at high price in the market,the initial distillation point of the hydrotreating heavy naphtha should be controlled to not exceed 86 ℃ in order to produce more benzene. Otherwise,it should be controlled at no less than 90 ℃ to increase the production of light naphtha for the ethylene unit to assist in producing more other high value-added products instead. In order to preserve the effective component content of C9~10 aromatics in the products as much as possible,meanwhile reducing the content of C≥11 heavy aromatics,it was better to control the final distillation point of hydrotreating heavy naphtha mixture raw material to not greater than 172 ℃,so as to ensure maximum economic benefits of this unit.

参考文献/References

[1] 郭换如. 石脑油作重整原料合理切割点的探讨[C]//中国石油化工信息学会. 2007年中国石油炼制技术大会论文汇编. 北京:中国石化出版社,2007:581-584.[2] 周祥,王杰广,侯震,等. 半再生重整分子水平反应动力学模型[J]. 石油学报(石油加工),2016,32(4):748-753.[3] 单寅昊. 重整原料组分优化的探讨[C]. 第三届炼油与石化工业技术进展交流会论文集,2017:439-444.[4] 杨磊,刘建,王岩,等. 催化重整装置原料优化对反应收率和能耗的影响研究[J]. 计算机与应用化学,2013,30(8):867-870.

备注/Memo

备注/Memo:
浙江省舟山市科技计划基金资助项目(项目编号:2021 C 11004);浙江石油化工有限公司科学研究与技术开发基金资助项目(项目编号:ZSH-RD-20-010)
更新日期/Last Update: 2023-05-10