Design and Optimization of Flexible Hydrogen Systems in Refineries

被引:36
作者
Jiao, Yunqiang [1 ]
Su, Hongye [1 ]
Hou, Weifeng [2 ]
Li, Pu [3 ]
机构
[1] Zhejiang Univ, Inst Cyber Syst & Control, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China
[2] Zhejiang Supcon Software Co Ltd, Hangzhou 310053, Zhejiang, Peoples R China
[3] Ilmenau Univ Technol, Inst Automat & Syst Engn, Dept Simulat & Optimal Proc, D-98684 Ilmenau, Germany
基金
国家高技术研究发展计划(863计划);
关键词
LINEAR-PROGRAMMING MODEL; GLOBAL OPTIMIZATION; MANAGEMENT; NETWORK; INTEGRATION; STORAGE;
D O I
10.1021/ie303209e
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
With the increasing demand for hydrogen resulting from fierce market competition and stringent environmental legislation, the hydrogen system has become an important component of a refinery. It is vital for the hydrogen system to be operated economically and safely under varying operating conditions. This calls for a systematic approach to the design and optimization of flexible hydrogen systems, which is the aim of this article. The hydrogen distribution network is designed at the minimum total annual cost subject to constraints on the flow rates and pressures of both existing and new equipment during the payback period. Varying hydrogen demands, different pipeline levels, and the possibility of hydrogen units being shut down are considered as operating conditions in the design optimization task, leading to the formulation and solution of a mixed-integer nonlinear programming (MINLP) problem. Using a linearization method, the MINLP formulation is approximated by a mixed-integer linear programming (MILP) problem, resulting in an acceptable quality and high efficiency. An industrial hydrogen system is taken as a case study. As shown in the case study, the proposed approach can handle high-dimensional and complex hydrogen system problems and gain significant economic improvements in comparison to an existing design.
引用
收藏
页码:4113 / 4131
页数:19
相关论文
共 32 条
[1]   Design and optimization of flexible utility systems subject to variable conditions - Part 2: Methodology and applications [J].
Aguilar, O. ;
Perry, S. J. ;
Kim, J.-K. ;
Smith, R. .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2007, 85 (A8) :1149-1168
[2]   Modelling and optimisation for design of hydrogen networks for multi-period operation [J].
Ahmad, Muhammad Imran ;
Zhang, Nan ;
Jobson, Megan .
JOURNAL OF CLEANER PRODUCTION, 2010, 18 (09) :889-899
[3]   Analysis of refinery hydrogen distribution systems [J].
Alves, JJ ;
Towler, GP .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2002, 41 (23) :5759-5769
[4]   Plant-wide waste management. 1. Synthesis and multiobjective design [J].
Chakraborty, A ;
Linninger, AA .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2002, 41 (18) :4591-4604
[5]   Synthesis of Direct and Indirect Interplant Water Network [J].
Chew, Irene Mei Leng ;
Tan, Raymond ;
Ng, Denny Kok Sum ;
Foo, Dominic Chwan Yee ;
Majozi, Thokozani ;
Gouws, Jacques .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2008, 47 (23) :9485-9496
[6]   Global optimization for the parameter estimation of differential-algebraic systems [J].
Esposito, WR ;
Floudas, CA .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2000, 39 (05) :1291-1310
[7]   Hydrogen distribution network optimization: a refinery case study [J].
Fonseca, Andre ;
Sa, Vitor ;
Bento, Hugo ;
Tavares, Manuel L. C. ;
Pinto, Gilberto ;
Gomes, Luisa A. C. N. .
JOURNAL OF CLEANER PRODUCTION, 2008, 16 (16) :1755-1763
[8]   Optimal design of distributed wastewater treatment networks [J].
Galan, B ;
Grossmann, IE .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1998, 37 (10) :4036-4048
[9]   Refinery hydrogen management for clean fuels production [J].
Hallale, N ;
Liu, F .
ADVANCES IN ENVIRONMENTAL RESEARCH, 2001, 6 (01) :81-98
[10]   Refinery short-term scheduling using continuous time formulation: Crude-oil operations [J].
Jia, ZY ;
Ierapetritou, M ;
Kelly, JD .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2003, 42 (13) :3085-3097