Fuzzy optimization design of multicomponent refinery hydrogen network

doi:10.1016/j.cjche.2021.04.014

中国化学工程学报 ›› 2022, Vol. 48 ›› Issue (8): 125-139.DOI: 10.1016/j.cjche.2021.04.014

Fuzzy optimization design of multicomponent refinery hydrogen network

Chun Deng¹, Xuantong Lu¹, Qixin Zhang², Jian Liu¹, Jui-Yuan Lee³, Xiao Feng⁴

1. State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum, Beijing 102249, China;
2. PetroChina Daqing Petrochemical Company, Daqing 163000, China;
3. Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 10608, China;
4. School of Chemical Engineering & Technology, Xi’an Jiaotong University, Xi’an 710049, China

收稿日期:2021-02-04 修回日期:2021-03-31 出版日期:2022-08-28 发布日期:2022-09-30
通讯作者: Chun Deng,E-mail:chundeng@cup.edu.cn
基金资助:
The financial supports received from the National Natural Science Foundation of China (21878328), Natural Science Foundation of Beijing (2212016) and Beijing Science and Technology Program, China (Z181100005118010) are gratefully acknowledge.

Fuzzy optimization design of multicomponent refinery hydrogen network

Chun Deng¹, Xuantong Lu¹, Qixin Zhang², Jian Liu¹, Jui-Yuan Lee³, Xiao Feng⁴

1. State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum, Beijing 102249, China;
2. PetroChina Daqing Petrochemical Company, Daqing 163000, China;
3. Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 10608, China;
4. School of Chemical Engineering & Technology, Xi’an Jiaotong University, Xi’an 710049, China

Received:2021-02-04 Revised:2021-03-31 Online:2022-08-28 Published:2022-09-30
Contact: Chun Deng,E-mail:chundeng@cup.edu.cn
Supported by:
The financial supports received from the National Natural Science Foundation of China (21878328), Natural Science Foundation of Beijing (2212016) and Beijing Science and Technology Program, China (Z181100005118010) are gratefully acknowledge.

摘要/Abstract

摘要： Hydrogen and light hydrocarbon components are essential resources of the refinery. The optimization of the refinery hydrogen system and recovery of the light hydrocarbon components contained in the gas streams are key strategies to reduce the operating costs for sustainable development. Many research efforts have been focused on the optimization of single impurity hydrogen network, and the flowrates of the hydrogen sources and sinks are assumed to be constant. However, their flowrates vary along with the quality of crude oil and refinery processing plans. A general superstructure of multicomponent refinery hydrogen network is proposed, which considers four components, namely H₂, H₂S, CH₄ and , as well as the flowrate variations of hydrogen source and hydrogen sink. The mathematical model based on the superstructure is developed with objective functions, including the minimization of total annualized cost and the maximization of overall satisfaction of the hydrogen network. Moreover, the model considers the removal of hydrogen sulfide and the recovery of light hydrocarbon components (i.e.C₂₊, ) in the optimization. To verify the applicability of the proposed mathematical model, a simplified industrial case study with four scenarios is solved. The optimization results show that the economic benefit can be maximized by considering both the direct reuse of gas streams from high-pressure separator (HP gas stream) and from low-pressure separator (LP gas stream) and the recovery of the light hydrocarbon streams. The fuzzy optimization method can be used to guide the optimal design of the refinery hydrogen system with multi-period variable flowrates.

关键词: Hydrogen network, Mathematical programming, Multicomponent, Fuzzy optimization, Light hydrocarbon recovery

Abstract: Hydrogen and light hydrocarbon components are essential resources of the refinery. The optimization of the refinery hydrogen system and recovery of the light hydrocarbon components contained in the gas streams are key strategies to reduce the operating costs for sustainable development. Many research efforts have been focused on the optimization of single impurity hydrogen network, and the flowrates of the hydrogen sources and sinks are assumed to be constant. However, their flowrates vary along with the quality of crude oil and refinery processing plans. A general superstructure of multicomponent refinery hydrogen network is proposed, which considers four components, namely H₂, H₂S, CH₄ and , as well as the flowrate variations of hydrogen source and hydrogen sink. The mathematical model based on the superstructure is developed with objective functions, including the minimization of total annualized cost and the maximization of overall satisfaction of the hydrogen network. Moreover, the model considers the removal of hydrogen sulfide and the recovery of light hydrocarbon components (i.e.C₂₊, ) in the optimization. To verify the applicability of the proposed mathematical model, a simplified industrial case study with four scenarios is solved. The optimization results show that the economic benefit can be maximized by considering both the direct reuse of gas streams from high-pressure separator (HP gas stream) and from low-pressure separator (LP gas stream) and the recovery of the light hydrocarbon streams. The fuzzy optimization method can be used to guide the optimal design of the refinery hydrogen system with multi-period variable flowrates.

Key words: Hydrogen network, Mathematical programming, Multicomponent, Fuzzy optimization, Light hydrocarbon recovery

Chun Deng, Xuantong Lu, Qixin Zhang, Jian Liu, Jui-Yuan Lee, Xiao Feng. Fuzzy optimization design of multicomponent refinery hydrogen network[J]. 中国化学工程学报, 2022, 48(8): 125-139.

Chun Deng, Xuantong Lu, Qixin Zhang, Jian Liu, Jui-Yuan Lee, Xiao Feng. Fuzzy optimization design of multicomponent refinery hydrogen network[J]. Chinese Journal of Chemical Engineering, 2022, 48(8): 125-139.

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Fuzzy optimization design of multicomponent refinery hydrogen network

Fuzzy optimization design of multicomponent refinery hydrogen network

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