SCI和EI收录∣中国化工学会会刊

›› 2017, Vol. 25 ›› Issue (2): 202-210.DOI: 10.1016/j.cjche.2016.07.017

• Process Systems Engineering and Process Safety • 上一篇    下一篇

A novel model for multi-plant mixed heavy crude oils refinery planning

Xiaoqiao Huang1, Yangdong Hu2, Lijuan Song1,3, Yuzhen Zhang1, Dongkui Chen4   

  1. 1 College of Chemical Engineering, China University of Petroleum(East China), Qingdao, 266100, China;
    2 College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China;
    3 Liaoning Key Laboratory of Petrochemical Engineering, Liaoning Shihua University, Fushun 113001, China;
    4 PetroChina Qinhuangdao Fuel Oil Asphalt Co., Ltd, Qinhuangdao 066000, China
  • 收稿日期:2016-04-15 修回日期:2016-07-31 出版日期:2017-02-28 发布日期:2017-03-14
  • 通讯作者: Yangdong Hu

A novel model for multi-plant mixed heavy crude oils refinery planning

Xiaoqiao Huang1, Yangdong Hu2, Lijuan Song1,3, Yuzhen Zhang1, Dongkui Chen4   

  1. 1 College of Chemical Engineering, China University of Petroleum(East China), Qingdao, 266100, China;
    2 College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China;
    3 Liaoning Key Laboratory of Petrochemical Engineering, Liaoning Shihua University, Fushun 113001, China;
    4 PetroChina Qinhuangdao Fuel Oil Asphalt Co., Ltd, Qinhuangdao 066000, China
  • Received:2016-04-15 Revised:2016-07-31 Online:2017-02-28 Published:2017-03-14

摘要: In this paper, multi-refinery using the same heavy crude oils as raw materials is studied, while a new nonlinear model for mixed heavy crude distillation is proposed. In practical crude distillation operation, the distillate yield and product distribution of distillation units are different due to their various equipment and operating parameters, even the same ratio of raw materials is provided, so different process models for multi-refinery planning is therefore required. For process modeling, the relationships between total yields and mixing ratio of different refineries were determined, which is combined with process simulation using production data. Then, the yields and properties of crude distillation unit (CDU) fractions were calculated with the use of true boiling point (TBP) curves and property curves respectively when the initial cutting temperatures were given. Finally, in order to maximize the economic benefit of distillation, the optimal product distribution and the best mixing ratio of crude oilwere calculated under the constraints of different properties of fractions. Comparing to previous models, the proposed model takes the influence of different refinery parameters on production process into account, while avoiding the complex process for determining the cutting points, which is considered more efficient and more accurate with respect to heavy crude refinery. Model was successfully verified by a case study, allowing a significant improvement of the refinery profit to be achieved.

关键词: Heavy crude, Mixing ratio, Multi-plant, Optimization, Planning

Abstract: In this paper, multi-refinery using the same heavy crude oils as raw materials is studied, while a new nonlinear model for mixed heavy crude distillation is proposed. In practical crude distillation operation, the distillate yield and product distribution of distillation units are different due to their various equipment and operating parameters, even the same ratio of raw materials is provided, so different process models for multi-refinery planning is therefore required. For process modeling, the relationships between total yields and mixing ratio of different refineries were determined, which is combined with process simulation using production data. Then, the yields and properties of crude distillation unit (CDU) fractions were calculated with the use of true boiling point (TBP) curves and property curves respectively when the initial cutting temperatures were given. Finally, in order to maximize the economic benefit of distillation, the optimal product distribution and the best mixing ratio of crude oilwere calculated under the constraints of different properties of fractions. Comparing to previous models, the proposed model takes the influence of different refinery parameters on production process into account, while avoiding the complex process for determining the cutting points, which is considered more efficient and more accurate with respect to heavy crude refinery. Model was successfully verified by a case study, allowing a significant improvement of the refinery profit to be achieved.

Key words: Heavy crude, Mixing ratio, Multi-plant, Optimization, Planning