摘要
镇海炼化Ⅰ套常减压装置设计加工规模为8.0Mt/a,采用闪蒸、常压蒸馏和减压蒸馏工艺流程。以该装置为研究对象,以标定数据为基准,应用Aspen Plus流程模拟软件,建立了与装置实际工况相符合的稳态流程模拟模型。利用此模型,对常减压装置常压塔和减压塔进行了灵敏度分析,研究了加热炉出口温度与轻油收率和总拔出率之间的关系、常一线汽提吹汽量与常一线5%点馏出温度的关系。以模型为指导,对常减压装置进行优化调整:常一线汽提蒸汽量由1.5t/h提高到2.5t/h,常顶油收率提高0.46%;减压炉出口分支温度由400℃提高到403℃,降低了渣油530℃前馏分含量,减压渣油收率降低0.80%。以模型为指导,优化常减压装置操作后,提高了常顶油收率和减压深拔率,每年实现装置增效432.2万元,本次流程模拟项目优化取得成功。
Sinopec Zhenhai Refining and Chemical Company′s atmospheric and vacuum unit has a designed processing capacity of 8.0Mt/a and uses flash,atmospheric and vacuum distillation processes.Using calibrated data as the benchmark,technicians established a steady-state process simulation model reflecting the actual operating conditions of the unit,with the help of the Aspen Plus process simulation software.Using this model,these technicians analyzed the sensitivity of the atmospheric and vacuum distillation columns of the atmospheric and vacuum distillation unit and studied the relationship between the temperature at the outlet of the heating furnace and light oil yield and total yield of crude distillation as well as the relationship between the atmospheric first side-line stripping amount and the atmospheric first side-line distillation temperature at the 5% boiling point.Based on the above model,these technicians optimized the configurations of the atmospheric and vacuum distillation unit by raising the amount of stripping steam of the atmospheric first side-line to 2.5t/h from 1.5t/h to increase the yield of gas oil by 0.46% and raising the branch temperature at the outlet of the vacuum furnace to 403℃ from 400℃ to reduce the contents of fractions from residual oil before 530℃ and vacuum residue yield by 0.80%.Through the optimization,the yield of gas oil and the vacuum deep cut rate were raised and annual economic benefits from the optimization amount to 4.322 million yuan.These results suggest that this process simulation program has succeeded.
出处
《中外能源》
CAS
2011年第A01期17-20,共4页
Sino-Global Energy
关键词
常减压装置
流程模拟
模型
优化
效益
atmospheric and vacuum distillation unit
process simulation
model
optimization
economic benefits