Modeling and Multi-objective Optimization of Refinery Hydrogen Network

焦云强; 苏宏业; 廖祖维; 侯卫锋

doi:10.1016/S1004-9541(11)60082-7

Your Location：

Home >

Browse articles >

Modeling and Multi-objective Optimization of Refinery Hydrogen Network

Updated：2026-01-06

- Modeling and Multi-objective Optimization of Refinery Hydrogen Network
- Chinese Journal of Chemical Engineering Vol. 19, Issue 6, Pages: 990-998(2011)
- Affiliations：
  
  1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University,Hangzhou,China,310027
  2. State Key Laboratory of Chemical Engineering, Department of Chemical and Biological Engineering, Zhejiang University,Hangzhou,China,310027
  3. Zhejiang Supcon Software Co. Ltd.,Hangzhou,China,310053
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(11)60082-7
  CLC：
- Published：2011
- Accepted：
Scan QR Code
JIAO Yunqiang, SU Hongye, LIAO Zuwei, HOU Weifeng. Modeling and Multi-objective Optimization of Refinery Hydrogen Network[J]. , 2011, 19(6): 990-998.
DOI：

JIAO Yunqiang, SU Hongye, LIAO Zuwei, HOU Weifeng. Modeling and Multi-objective Optimization of Refinery Hydrogen Network[J]. , 2011, 19(6): 990-998. DOI： 10.1016/S1004-9541(11)60082-7.

摘要

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.

关键词

Keywords

references

Views

1525

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Sustainability evaluation of novel side-stream extractive distillation incorporating intermediate reboiler process for recovering ethyl acetate and methanol from wastewater based on multi-objective optimization

Kinetic modeling and multi-objective optimization of an industrial hydrocracking process with an improved SPEA2-PE algorithm

Energy, exergy, economic, and environmental compromising performance of dual-stage evaporation-ammonia hybrid compression–absorption refrigeration system for the cooling supply of keto-benzene dewaxing process

Fuzzy optimization design of multicomponent refinery hydrogen network

Dynamic optimization oriented modeling and nonlinear model predictive control of the wet limestone FGD system

Related Author

Ye Qing

Dai Tan

Wang Hui

Li Jinlong

Yang Shuang

Zhang Ruimin

Chen Fan

Xindong Wang

Related Institution

Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University

Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology

State Key Laboratory of Fine Chemicals, Liaoning Key Laboratory Clean Utilization of Chemical Resources, Institute of Chemical Engineering, Dalian University of Technology

School of Chemical Engineering & Technology, Xi’an Jiaotong University

Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei

⁰