Flexible optimization of refinery hydrogen network

doi:10.3969/j.issn.0438-1157.2012.09.011

CIESC Journal ›› 2012, Vol. 63 ›› Issue (9): 2739-2748.DOI: 10.3969/j.issn.0438-1157.2012.09.011

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Flexible optimization of refinery hydrogen network

1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, Zhejiang, China;
2. Zhejiang Supcon Software Co.Ltd., Hangzhou 310053, Zhejiang, China

Received:2012-06-09 Revised:2012-06-19 Online:2012-09-05 Published:2012-09-05
Supported by:
supported by the High-tech Research and Development Program of China(2008AA042902,2009AA04Z162)and the Program of Introducing Talents of Discipline to University(B07031).

炼油厂氢气网络柔性优化

焦云强¹, 苏宏业¹, 侯卫锋²

1. 工业控制技术国家重点实验室, 浙江大学智能系统与控制研究所, 浙江杭州 310027;
2. 浙江中控软件技术有限公司, 浙江杭州 310053

通讯作者: 苏宏业
作者简介:焦云强(1982-),男,博士研究生。
基金资助:
国家高技术研究发展计划项目(2008AA042902,2009AA04Z162);高等学校学科创新引智计划项目(B07031)。

Abstract

Abstract: The hydrogen system has become an important component of the refinery with the increasing demand of hydrogen.It is significant for the optimization of the hydrogen network to realize the minimization of economic objectives and stable operation under all the operation conditions.A flexible optimization strategy is proposed based on the varying operation conditions and demand of hydrogen system in refinery.A mixed integer nonlinear programming(MINLP)model is formulated to optimize the hydrogen network under multi-scenarios.Then the MINLP model is linearized and solved with Lingo software.A case study based on the data from a refinery is showed to demonstrate the effectiveness and feasibility of the presented flexible optimization strategy.The comparison between the proposed strategy and the original hydrogen network shows that the presented flexible optimization strategy has better flexibility,and significant savings and stable operation of hydrogen system is realized.The proposed strategy plays an important role in guiding the management of hydrogen system in refinery.

摘要： 随着炼油厂对氢气的需求量不断扩大,氢气系统已成为炼油厂的重要组成部分。炼油厂氢气网络的优化设计既要实现总成本最小的经济性目标,还要保证各种工况下氢气系统的安全稳定运行。针对炼油厂氢气系统不断变化的工况和氢气需求,提出了炼油厂氢气网络柔性优化策略,建立了多工况下的氢气网络柔性优化混合整数非线性规划(MINLP)模型,并对优化模型进行了线性化处理,采用优化建模工具Lingo建模求解。采用本文提出的柔性优化策略对某炼油厂氢气网络进行了柔性优化设计,与炼油厂的原始氢气网络对比表明,柔性优化后的网络可操作性强且具有较好的柔性调节能力,既节省了大量的运行成本,又为各种工况下氢气系统的安全稳定运行提供了保障,对实际炼油厂氢气网络的优化管理起了指导作用。

关键词: 氢气网络, 柔性, 优化, 超结构

CLC Number:

TQ021.8

JIAO Yunqiang, SU Hongye, HOU Weifeng. Flexible optimization of refinery hydrogen network[J]. CIESC Journal, 2012, 63(9): 2739-2748.

焦云强, 苏宏业, 侯卫锋. 炼油厂氢气网络柔性优化[J]. 化工学报, 2012, 63(9): 2739-2748.

References 23

[1]	Alves J J,Towler G P.Analysis of refinery hydrogen distribution systems [J].Ind. Eng. Chem. Res.,2002,41(23):5759-5769
[2]	El-Halwagi M,Gabriel F,Harell D.Rigorous graphical targeting for resource conservation via material recycle/reuse networks [J].Ind. Eng. Chem. Res.,2003,42(19):4319-4328
[3]	Zhao Z H,Liu G L,Feng X.New graphical method for the integration of hydrogen distribution systems [J].Ind. Eng. Chem. Res.,2006,45(19):6512-6517
[4]	Zhao Z,Liu G,Feng X.The integration of the hydrogen distribution system with multiple impurities [J].Chem. Eng. Res. Des.,2007,85(A9):1295-1304
[5]	Liao Z W,Rong G,Wang J D,Yang Y R.Rigorous algorithmic targeting methods for hydrogen networks(Ⅰ):Systems with no hydrogen purification[J].Chem. Eng. Sci.,2011,66(5):813-820
[6]	Liao Z W,Rong G,Wang J D,Yang Y R.Rigorous algorithmic targeting methods for hydrogen networks(Ⅱ):Systems with one hydrogen purification [J].Chem. Eng. Sci.,2011,66(5):821-833
[7]	Hallale N,Liu F.Refinery hydrogen management for clean fuels production [J].Adv. Environ. Res.,2001,6(1):81-98
[8]	Liu F,Zhang N.Strategy of purifier selection and integration in hydrogen networks [J].Chem. Eng. Res. Des.,2004,82(A10):1315-1330
[9]	Zhang Yi(张毅),Yang Yongrong(阳永荣),Liu Jun(刘军),Guo Hongxin(郭宏新),Tang Yinggang(唐应刚).Hydrogen network integrative management in refinery[J].Acta Petrolei Sinica(石油学报),2004,20(1):58-62
[10]	Khajehpour M,Farhadi F,Pishvaie M R.Reduced superstructure solution of MINLP problem in refinery hydrogen management [J].Int. J. Hydrogen Energy,2009,34(22):9233-9238
[11]	Liao Z W,Wang J D,Yang Y R,Rong G.Integrating purifiers in refinery hydrogen networks:a retrofit case study [J].J. Clean Prod.,2010,18(3):233-241
[12]	Kumar A,Gautami G,Khanam S.Hydrogen distribution in the refinery using mathematical modeling [J].Energy,2010,35(9):3763-3772
[13]	Ahmad M I,Zhang N,Jobson M.Modelling and optimisation for design of hydrogen networks for multi-period operation [J].J. Clean Prod.,2010,18(9):889-899
[14]	Xuan Ji(宣吉),Liao Zuwei(廖祖维),Rong Gang(荣冈),Yang Yongrong(阳永荣).Hydrogen network retrofit design in refinery based on stochastic programming[J].CIESC Journal(化工学报),2010,61(2):398-404
[15]	Jiao Y Q,Su H Y,Hou W F.An optimization method for the refinery hydrogen network and its application// Proceeding of the 2011 4th International Symposium on Advanced Control of Industrial Processes.Hangzhou,2011:228-233
[16]	Jiao Y Q,Su H Y,Liao Z W,Hou W F.Modeling and multi-objective optimization of refinery hydrogen network [J].Chin. J. Chem. Eng.,2011,19(3):990-998
[17]	Peters M S,Timmerhaus K D.Plant Design and Economics for Chemical Engineers [M].New York:McGraw-Hill,1991
[18]	Towler G P,Mann R,Serriere A J L,Gabaude C M D.Refinery hydrogen management:cost analysis of chemically-integrated facilities [J].Ind. Eng. Chem. Res.,1996,35(7):2378-2388
[19]	Lee H,Pinto J M,Grossmann I E,Sunwon P.Mixed-integer linear programming model for refinery short-term scheduling of crude oil unloading with inventory management [J].Ind. Eng. Chem. Res.,1996,35(5):1630-1641
[20]	Jia Z,Ierapetritou M.Mixed-integer linear programming model for gasoline blending and distribution scheduling [J].Ind. Eng. Chem. Res.,2003,42(4):825-835
[21]	Jia Z,Ierapetritou M,Kelly J D.Refinery short-term scheduling using continuous time formulation:crude-oil operations [J].Ind. Eng. Chem. Res.,2003,42(13):3085-3097
[22]	Wang J S,Rong G.Robust optimization model for crude oil scheduling under uncertainty [J].Ind. Eng. Chem. Res.,2010,49(4):1737-1748
[23]	Li W K,Hui C W,Hua B,Tong Z X.Scheduling crude oil unloading,storage,and processing [J].Ind. Eng. Chem. Res.,2002,41(26):6723-6734

Flexible optimization of refinery hydrogen network

炼油厂氢气网络柔性优化

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