Control strategy for power management, efficiency-optimization and operating-safety of a 5-kW solid oxide fuel cell system

Zhang, Lin; Jiang, Jianhua; Cheng, Huan; Deng, Zongquan; Li, Xi

doi:10.1016/j.electacta.2015.02.045

Cited by 62 publications

(21 citation statements)

References 23 publications

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“…The traverse optimization method was used in [13][14][15] to solve the optimization problem. Firstly, the operating parameters were discretized into a certain number of operating points in their value ranges.…”

Section: Analysis-based Efficiency Optimizationmentioning

confidence: 99%

“…Efficiency optimization that is based on temperature safety is another important and basic issue for SOFC system control. Because the SOFC system is too complex to abstract an analytical relationship between SOFC operating parameters and efficiency, the optimization was always done by discrete approximation [13][14][15]. Firstly, operating parameters were discretized in their value ranges and the discrete precision of different operating parameters was chosen by experience and insight.…”

Section: Introductionmentioning

confidence: 99%

“…In [15], a cubic convolution interpolation algorithm was used to replace part of the simulation. However, the traverse optimization process in [13][14][15] requires that all discrete operating points be considered. We proposed an analysis-based optimization method to optimize the system efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Control-oriented modeling analysis and optimization of planar solid oxide fuel cell system

Cheng

Jing

et al. 2016

International Journal of Hydrogen Energy

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Because of multi-timescale characteristics and gas transmission delays, the thermal electrical cooperative control of solid oxide fuel cells is a complex and difficult issue. We have used modeling, analysis and optimization of a solid oxide fuel cell system control to guarantee a high efficiency and temperature safety during steady-state and power switch transients. An analysis-based optimization method that applies to discrete optimization problem with constraints is proposed to obtain optimal operating points with a maximum efficiency and to satisfy temperature constraints. Artificial neural-network models that were identified from a validated

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Section: Analysis-based Efficiency Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Control-oriented modeling analysis and optimization of planar solid oxide fuel cell system

Cheng

Jing

et al. 2016

International Journal of Hydrogen Energy

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“…An excessively high temperature gradient will lead to greater thermal stress in the system, which will cause the fuel cell to deform or even crack and shorten the cell life . Therefore, to ensure the safe operation and prolong life of the SOFC, the temperature gradient needs to be controlled within a reasonable scope T sol,g max ≤ 8 K·cm –1 …”

Section: Introductionmentioning

confidence: 99%

Temperature Gradient Control of the Solid Oxide Fuel Cell under Variable Load

Huo

Cui

et al. 2021

ACS Omega

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Nowadays, the temperature gradient is considered as one of the most important parameters which impact the performance of the solid oxide fuel cell (SOFC). In this paper, a control strategy based on an input−output feedback linearization technology is derived for controlling the maximum temperature gradient within the anode fuel flow channel at the desired value. For the controller design, the temperature dynamic model is proposed and simplified to a controloriented multi-input and multioutput nonlinear dynamic model. Then, this paper presents an input−output feedback linearization controller to realize the control objective by adjusting the cathode input air flow. Finally, the simulation results are given to demonstrate the accuracy of the proposed model in reflecting the temperature dynamic characteristics. Moreover, the compound controller is added for simulation as a comparison, which shows that the proposed controller is equipped with better effectiveness and efficiency in the presence of external disturbances.

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“…Thermal energy utilization by direct heat exchange combined with chemical energy recovery through combustion greatly improves thermal efficiency of the integrated setup [5]. In addition to thermal energy utilization, many researchers focused on effective utilization of chemical energy contained in fuel cell exhaust gases [6][7][8][9][10][11][12]. Regarding chemical energy, AOG is of primary importance since it comprises mainly hydrogen having a very high heat value.…”

Section: Introductionmentioning

confidence: 99%

Combustion Modeling and Simulation of Recycled Anode-off-Gas from Solid Oxide Fuel Cell

2020

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A solid oxide fuel cell (SOFC) is popular amongst other fuel cell technologies due to fuel flexibility, low cost, and stability. Because of difficulties involved in the handling of hydrogen, onsite hydrogen production is considered for many small- and large-scale applications. It involves an integrated setup consisting of a reformer, combustor, and fuel cell stack. Being operated at high temperature, gases leaving SOFC contain a significant amount of thermal energy which can be utilized within the integrated reforming process. In addition, anode-off-gas (AOG) from SOFC contains unreacted hydrogen which can be utilized as fuel in an integrated combustor thereby increasing combustor efficiency. For effective integration of a combustor, reformer, and power generator, modeling and simulation is of great utility. In the present work, a 3D model of an integrated combustor unit is developed and implemented into the computational fluid dynamics (CFD) simulation package ANSYS FLUENT®. Main objective of this work is to prove the concept of enhancement in combustor performance by utilizing AOG from SOFC as a supplementary fuel in the combustor. Simulation results show a significant increase in combustor temperature and heat dissipated to the reformer side with AOG utilization. Up to an 18% saving in fuel (natural gas), used in combustor to supply heat to the reformer, is observed.

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Control strategy for power management, efficiency-optimization and operating-safety of a 5-kW solid oxide fuel cell system

Cited by 62 publications

References 23 publications

Control-oriented modeling analysis and optimization of planar solid oxide fuel cell system

Control-oriented modeling analysis and optimization of planar solid oxide fuel cell system

Temperature Gradient Control of the Solid Oxide Fuel Cell under Variable Load

Combustion Modeling and Simulation of Recycled Anode-off-Gas from Solid Oxide Fuel Cell

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