首页|Modeling and Multi-objective Optimization of Refinery Hydrogen Network

Modeling and Multi-objective Optimization of Refinery Hydrogen Network

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
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 single-objective 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 intro-duced to illustrate the applicability of the approach.

refinerymulti-objective optimizationhydrogen networkmixed integer nonlinear programming

焦云强、苏宏业、廖祖维、侯卫锋

展开 >

State Key, Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, , Hangzhou 310027, China

State Key Laboratory of Chemical Engineering, Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China

Zhejiang ＂Supcon Software Co. Ltd., Hangzhou 310053, China

多目标优化问题 网络管理 炼油厂 氢气 建模 混合整数非线性规划 多目标优化模型 多目标优化方法

国家高技术研究发展计划(863计划)国家高技术研究发展计划(863计划)Program of Introducing Talents of Discipline to University国家自然科学基金

2008AA0429022009AA04Z162B0703121106129

2011

中国化学工程学报(英文版)
中国化工学会

中国化学工程学报(英文版)

CSTPCDCSCDSCIEI
影响因子：0.818
ISSN：1004-9541
年,卷(期)：2011.19(6)
  • 9
  • 1