A novel two-step method to design inter-plant hydrogen network

Lou, Yaqi; Liao, Zuwei; Sun, Jingyuan; Jiang, Binbo; Wang, Jingdai; Yang, Yongrong

doi:10.1016/j.ijhydene.2019.01.099

Cited by 32 publications

(13 citation statements)

References 37 publications

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“…Nowadays, with a great deal of fossil fuel consumption, many environmental issues have been raised. With the merits of low pollution and high efficiency [1], hydrogen energy-based fuel cells are considered to be ideal alternative energy sources, and they are widely used to supply power to stand-alone power systems and vehicles [2][3][4]. Among all fuel cells, solid oxide fuel cells (SOFCs) attract much attention for their multifuel capabilities and potential for cogeneration [5], as well as their ease of coordination with refinery hydrogen networks [6].…”

Section: Introductionmentioning

confidence: 99%

“…This paper aims to (1) identify a dynamic SOFC model as a linearized model, (2) apply two PID controllers to maintain the output voltage and fuel utilization of an SOFC under load disturbance, and (3) enhance the control system performance by optimizing the controller with multiobjective optimization. The remaining part of this paper is organized as follows: In Section 2, a dynamic SOFC model is introduced, while in Section 3, a linearized model is identified and a controller for the model is designed.…”

Section: Introductionmentioning

confidence: 99%

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Multiobjective Genetic Algorithm-Based Optimization of PID Controller Parameters for Fuel Cell Voltage and Fuel Utilization

et al. 2019

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Nowadays, given the great deal of fossil fuel consumption and associated environmental pollution, solid oxide fuel cells (SOFCs) have shown their great merits in terms of high energy conversion efficiency and low emissions as a stationary power source. To ensure power quality and efficiency, both the output voltage and fuel utilization of an SOFC should be tightly controlled. However, these two control objectives usually conflict with each other, making the controller design of an SOFC quite challenging and sophisticated. To this end, a multi-objective genetic algorithm (MOGA) was employed to tune the proportional–integral–derivative (PID) controller parameters through the following steps: (1) Identifying the SOFC system through a least squares method; (2) designing the control based on a relative gain array (RGA) analysis; and (3) applying the MOGA to a simulation to search for a set of optimal solutions. By comparing the control performance of the Pareto solutions, satisfactory control parameters were determined. The simulation results demonstrated that the proposed method could reduce the impact of disturbances and regulate output voltage and fuel utilization simultaneously (with strong robustness).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiobjective Genetic Algorithm-Based Optimization of PID Controller Parameters for Fuel Cell Voltage and Fuel Utilization

et al. 2019

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“…On the other hand, mathematical programming approaches were proposed to handle complex systems such as intermediate headers, pressure ratio and adsorbent selectivity, selection of purification techniques, a multiperiod with regeneration schemes, and multiperiod interplant hydrogen integration taking into consideration the fluctuation of operating conditions in each participating plant . Additionally, some research veering toward combined mathematical programming and pinch-based approaches has also been reported …”

Section: Introductionmentioning

confidence: 99%

Development of a C–H–O Symbiosis Network during Conceptual Design via Economic, Sustainability, and Safety Metrics

Farouk

El‐Halwagi²,

Foo

et al. 2021

ACS Sustainable Chem. Eng.

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Discharge of industrial wastes constitutes one of the primary threats to the environment. A sustainable approach to handling industrial wastes is the adoption of integration and monetization schemes through the concept of an eco-industrial park (EIP). An EIP involving hydrocarbons is a particular case known as a carbon–hydrogen–oxygen symbiosis network (CHOSYN). Special features of the CHOSYN involve the conversion of wastes into value-added chemicals and the ability to perform multiscale targeting that benchmarks the performance from the atomic scale to large-scale implementation. Economic and mass conservation objectives have been used to guide the design of CHOSYNs. In this work, sustainability and safety are included as part of multicriterion objectives for the design of CHOSYNs. A rigorous and universal model for the optimization of a CHOSYN is developed with economic, sustainability, and safety objectives. An economic framework is used for reconciling the multiple criteria using the safety and sustainability weighted return on investment metric. The solution of the optimization formulation determines which plants participate and the extent of participation, the chemical pathways to convert wastes into value-added chemicals, and the allocation of the products to the users. The solution also reconciles the various design objectives. Subsequently, the proposed model is applied to a case study focusing on glycerol valorization.

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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%

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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A novel two-step method to design inter-plant hydrogen network

Cited by 32 publications

References 37 publications

Multiobjective Genetic Algorithm-Based Optimization of PID Controller Parameters for Fuel Cell Voltage and Fuel Utilization

Multiobjective Genetic Algorithm-Based Optimization of PID Controller Parameters for Fuel Cell Voltage and Fuel Utilization

Development of a C–H–O Symbiosis Network during Conceptual Design via Economic, Sustainability, and Safety Metrics

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

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