An exergy-based approach for hydrogen network integration

Wang, Yufei; Wu, Song; Feng, Xiao; Deng, Chun

doi:10.1016/j.energy.2015.04.051

Cited by 18 publications

(4 citation statements)

References 17 publications

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“…Even though lots of pinch analysis studies on the refinery also performed [7,[30][31][32], the addition of exergy analysis to hydrogen network has been a new trend for the last years [33][34][35]. To improve the heat integration efficiency of refinery plant units, the exergy was used instead of enthalpy in pinch analysis [36,37].…”

Section: Introductionmentioning

confidence: 99%

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Exergy analysis of petroleum refinery hydrogen network integration based on reaction system

Kutlu

Özçelik

2021

MANAS Journal of Engineering

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High-purity hydrogen is a crucial input in a crude oil refinery to upgrade several products. For this reason, the effective hydrogen management is necessary to satisfy hydrogen requirements. On the other hand, adding exergy analysis to the hydrogen pinch analysis especially for refinery plants, where hydrogen reacts under high temperature and pressure, helps improve the efficiency of unit by overcoming the lack of pinch analysis. The aim of this study is the simulation and exergy analysis of reactors within hydrogen network integration of a petroleum refinery retrofitted by pinch analysis before. Two hydrogen production and four consumption units were considered and simulated by Aspen Plus, and then the exergy efficiencies were calculated. Low exergy efficiencies were determined in the hydrogen production and hydrodesulfurization units, whereas the separation of excess hydrogen from the desired product considerably effected on the efficiency. The results also show that not only the hydrogen demand of reactors has to be reduced, but also the hydrogen recovery and purification is very important for the increase in efficiency. Although the processes are carried out at the high operating conditions, the reactions significantly affect the total exergy flow rate Research article

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Section: Introductionmentioning

confidence: 99%

“…Though Wu et al [38] minimized the number of compressors and total exergy consumption in the refinery hydrogen distribution system, reactors in the network were not taken into account. The exergy as energy performance, environment issue and cost were generally selected as optimization objectives in other previous researches [33,35].…”

Section: Introductionmentioning

confidence: 99%

Exergy analysis of petroleum refinery hydrogen network integration based on reaction system

Kutlu

Özçelik

2021

MANAS Journal of Engineering

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“…Umana et al 28 proposed hydrodesulfurization and hydrocracking reaction and separation models and developed a corresponding hydrogen network model for hydrogen production cost minimization. Wang et al 29 established a mathematical model for hydrogen networks to minimize the total exergy consumption including fresh hydrogen, compression work, and purification. Wu et al 30 employed sulfur removal-based hydrotreating reaction kinetics in a mathematical model and operational optimization.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Modeling-Based Refinery Hydrogen Network Integration with Process Risk Analysis

Zhang

Fang

Feng

2021

Ind. Eng. Chem. Res.

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Hydrogen network integration is a crucial way to achieve resource conservation and cost reduction of refinery and it is performed on quantitative and thermodynamic properties of hydrogen streams subject to process operation and thermodynamic principles. A combined methodology of process simulation and mathematical modeling is optimal to account for process operation and integration of hydrogen networks. In this paper, process simulation of a flash separator is employed to obtain quantitative and thermodynamic properties of hydrogen streams under variational flash pressure (FP), and a mixed-integer nonlinear programming model is established to minimize the total exergy of hydrogen networks. A practical refinery case with different-quality crude oil is investigated, and the results indicate that flash pressure is the risk factor and should be in the feasible region no larger than the process operation and no less than the critical level for integration. Quantitatively, the critical level of FP for high-pressure sk1 is 17.42 MPa and will be increased to 17.57 MPa by inferior crude oil and decreased to 16.76 MPa by superior oil feedstock. Similarly, in the case of sk4, it is 6.14 MPa and increased to 6.29 MPa and decreased to 5.52 MPa. As a result, the crude oil feed of sk4 in case 2 is in the risk region already, and flash pressure should be adjusted. This work shows great progress in hydrogen network integration with risk analysis for future applications.

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“…Hydrogen network designs capable of functioning under multiple modes of refinery operation were proposed by Ahmad et al and Jiao et al A mathematical model for hydrogen network design under uncertain operating conditions, mainly in the uncertainty in the hydrogen requirement at the process units, were developed by several authors. − An interplant hydrogen network model, for network integration among multiple refineries, between oil refineries and petrochemical plants and in petrochemical complexes, were also developed in the literature. − Many mathematical models for hydrogen network design were developed in the literature including integration with hydrogen sulfide removal; integration with rigorous models of process units in a refinery; , models with fuel cells and hydrogen plant; , hydrogen system scheduling studies; , consideration of sustainability and greenhouse gas (GHG) emissions; targeting of compressors and compressor works; − those based on exergy and thermodynamic analysis; constraints on the hydrogen-to-oil ratio at the hydrogen consumer; superstructure having hydrogen headers; models which involved more sophisticated design equations and rigorous procedure for the incorporation of purification units; − using mixing potential concept; , and comparison of different investigative network designs concerning hydrogen utility flow with connections in the network, with the placement of compressors and purifiers and with different economic performance criterions . Apart from these, a more comprehensive review on the state-of-the-art practices used in the field of hydrogen network design and management were given in the works of Elshreif et al and Marques et al…”

Section: Introductionmentioning

confidence: 99%

Retrofit Design of Hydrogen Network in Refineries: Mathematical Model and Global Optimization

Jagannath

Madhuranthakam

Elkamel

et al. 2018

Ind. Eng. Chem. Res.

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The problem of retrofit design of refinery hydrogen networks is addressed in this work, using the mathematical superstructure optimization. The superstructure of retrofit hydrogen network design contains hydrogen using, producing, and purifying units; along with compressors to facilitate hydrogen distribution. The developed mathematical model is formulated as a mixed integer nonlinear programming model (MINLP), with the objective being minimum total annual cost. The nonlinearity in the model is because of the bilinear, posynomia, and linear fractional terms. A new heuristic method is presented which helps in assigning suction and discharge pressures for the newly retrofitted compressor. With such an assignment, the nonlinearity in the model is now only confined to bilinear terms. This bilinear MINLP model is solved to global optimality using the proposed global optimization algorithm. Tests on some literature examples show that the proposed algorithm can reach global solutions faster than some commercial MINLP global solvers.

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An exergy-based approach for hydrogen network integration

Cited by 18 publications

References 17 publications

Exergy analysis of petroleum refinery hydrogen network integration based on reaction system

Exergy analysis of petroleum refinery hydrogen network integration based on reaction system

Simulation and Modeling-Based Refinery Hydrogen Network Integration with Process Risk Analysis

Retrofit Design of Hydrogen Network in Refineries: Mathematical Model and Global Optimization

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