Optimization of refinery hydrogen network based on chance constrained programming

Jiao, Yunqiang; Su, Hongye; Hou, Weifeng; Liao, Zuwei

doi:10.1016/j.cherd.2012.02.016

Cited by 50 publications

(23 citation statements)

References 27 publications

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“…However, in real word, the data used in mathematical models and operation parameters are often periodically changed and create various uncertain conditions in hydrogen networks. For example, the changing conditions of the market and operating behavior of refinery processes, variations of hydrogen demand, supply of hydrogen etc., are uncertain factors in hydrogen networks , .…”

Section: Problem Statementmentioning

confidence: 99%

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Hydrogen and CO₂ Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming

Birjandi

Shahraki

2019

Chem Eng & Technol

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An innovative approach for optimization of the hydrogen network in a refinery is presented. The optimization problem was formulated as a fuzzy-based multiobjective nonlinear programming (FMONLP), aiming at simultaneous minimization of the total annual cost and CO 2 emission. This is achieved by defining an objective function with a weighted sum of the annual cost and CO 2 emission. The weighting factors are considered as fuzzy parameters which are described based on the experts' experiences. The applicability of the proposed approach is illustrated by optimization of an Iranian refinery hydrogen network.

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Section: Problem Statementmentioning

confidence: 99%

“…Jiao et al. proposed that the objective function, equalities, and inequalities in a hydrogen network have uncertain variables. The cases they studied were only based on a chance‐constrained programming.…”

Section: Problem Statementmentioning

confidence: 99%

Hydrogen and CO₂ Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming

Birjandi

Shahraki

2019

Chem Eng & Technol

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“…Substituting Eq. 18 into 9, we have M5 S pol S total (19) Equation 19 provides us the graphical meaning of Mixing Potential: M is the area ratio between polygon AA 1 A 2 . .…”

Section: Graphical Representation Of Mixing Potentialmentioning

confidence: 99%

Mixing potential: A new concept for optimal design of hydrogen and water networks with higher disturbance resistance

et al. 2014

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During the last decade, the design methods of hydrogen and water networks have been improved greatly. Since the resulting network structure featuring minimum utility consumption is not unique, other properties such as disturbance resistance have drawn more and more attention. In this article, a novel concept, Mixing Potential, is proposed to improve the disturbance resistance ability of the networks in the design stage. This concept originates from measuring the concentration fluctuation of a single sink, and could be calculated by its graphical and algorithmic definition, respectively. In addition, a sufficient condition for minimizing the Mixing Potential of a single sink has been proved. Based on this sufficient condition, a graphical and its corresponding algorithmic method are proposed to design the hydrogen and water networks with minimum utility consumption. Literature examples illustrate that the disturbance resistance ability of the network can be improved by adjusting the satisfying order of sinks. © 2014 American Institute of Chemical Engineers AIChE J, 60: 3762–3772, 2014

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“…Jagannath et al [47] develop a non-convex multi-scenario MINLP model to address the issue of optimal hydrogen network design under uncertainty or uncertain operating parameters. Jiao et al [48] proposed a novel chance constrained programming (CCP) approach for the optimization of hydrogen network in refinery under uncertainties. Kuo and Chang [49] developed a shortcut calculation method to calculate the inlet and outlet flow rates and concentrations of hydrogen users and built an MINLP model for multi-period hydrogen network designs and considered the interaction between sources and sinks.…”

Section: Introductionmentioning

confidence: 99%

An integration method for the refinery hydrogen network with coupling sink and source

Mao

Shen

Wang

et al. 2015

International Journal of Hydrogen Energy

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Optimization of refinery hydrogen network based on chance constrained programming

Cited by 50 publications

References 27 publications

Hydrogen and CO₂ Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming

Hydrogen and CO₂ Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming

Mixing potential: A new concept for optimal design of hydrogen and water networks with higher disturbance resistance

An integration method for the refinery hydrogen network with coupling sink and source

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Optimization of refinery hydrogen network based on chance constrained programming

Cited by 50 publications

References 27 publications

Hydrogen and CO2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming

Hydrogen and CO2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming

Mixing potential: A new concept for optimal design of hydrogen and water networks with higher disturbance resistance

An integration method for the refinery hydrogen network with coupling sink and source

Contact Info

Product

Resources

About

Hydrogen and CO₂ Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming

Hydrogen and CO₂ Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming