SCI和EI收录∣中国化工学会会刊

›› 2011, Vol. 19 ›› Issue (6): 990-998.

• • 上一篇    下一篇

Modeling and Multi-objective Optimization of Refinery Hydrogen Network

焦云强1, 苏宏业1, 廖祖维2, 侯卫锋3   

  1. 1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China;
    2. State Key Laboratory of Chemical Engineering, Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China;
    3. Zhejiang Supcon Software Co. Ltd., Hangzhou 310053, China
  • 收稿日期:2011-01-10 修回日期:2011-08-21 出版日期:2011-12-28 发布日期:2012-04-24
  • 通讯作者: SU Hongye, E-mail: hysu@iipc.zju.edu.cn
  • 基金资助:
    Supported by the National High Technology Research and Development Program of China (2008AA042902, 2009AA04Z162);the Program of Introducing Talents of Discipline to University (B07031);the National Natural Science Foundation of China (21106129)

Modeling and Multi-objective Optimization of Refinery Hydrogen Network

JIAO Yunqiang1, SU Hongye1, LIAO Zuwei2, HOU Weifeng3   

  1. 1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China;
    2. State Key Laboratory of Chemical Engineering, Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China;
    3. Zhejiang Supcon Software Co. Ltd., Hangzhou 310053, China
  • Received:2011-01-10 Revised:2011-08-21 Online:2011-12-28 Published:2012-04-24
  • Supported by:
    Supported by the National High Technology Research and Development Program of China (2008AA042902, 2009AA04Z162);the Program of Introducing Talents of Discipline to University (B07031);the National Natural Science Foundation of China (21106129)

摘要: The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on singleobjective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming (MINLP). A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is introduced to illustrate the applicability of the approach.

关键词: refinery, multi-objective optimization, hydrogen network, mixed integer nonlinear programming

Abstract: The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on singleobjective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming (MINLP). A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is introduced to illustrate the applicability of the approach.

Key words: refinery, multi-objective optimization, hydrogen network, mixed integer nonlinear programming