Modeling and control of tubular solid-oxide fuel cell systems: II. Nonlinear model reduction and model predictive control

Sanandaji, Borhan M.; Vincent, Tyrone L.; Colclasure, Andrew M.; Kee, Robert J.

doi:10.1016/j.jpowsour.2010.06.075

Cited by 38 publications

(10 citation statements)

References 16 publications

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“…Table 2 shows part of the NLPP calculation results. For comparison, like the steady-state operating conditions in [26,27], the efficiencies (η1) when T = 1273 K and u = 0.8 under different power are also given. Obviously, ηmax is higher than η1.…”

Section: Steady-state ηMax Operationsmentioning

confidence: 99%

“…With regard to the control of a SOFC, model predictive control (MPC) [24] and adaptive control [25] can achieve multiple objectives during the load tracking process. Sendjaja and Kariwala [26] studied the use of decentralized proportional-integral-derivative (PID) controllers on the benchmark constant temperature SOFC dynamic model given in [21]. The same benchmark model was used in [27,28] to study the load tracking and small-signal stability issues pertaining to a grid-connected SOFC.…”

Section: Introductionmentioning

confidence: 99%

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Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Zhu³

2015

Energies

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Based on the benchmark solid oxide fuel cell (SOFC) dynamic model for power system studies and the analysis of the SOFC operating conditions, the nonlinear programming (NLP) optimization method was used to determine the maximum electrical efficiency of the grid-connected SOFC subject to the constraints of fuel utilization factor, stack temperature and output active power. The optimal operating conditions of the grid-connected SOFC were obtained by solving the NLP problem considering the power consumed by the air compressor. With the optimal operating conditions of the SOFC for the maximum efficiency operation obtained at different active power output levels, a hierarchical load tracking control scheme for the grid-connected SOFC was proposed to realize the maximum electrical efficiency operation with the stack temperature bounded. The hierarchical control scheme consists of a fast active power control and a slower stack temperature control. The active power control was developed by using a decentralized control method. The efficiency of the proposed hierarchical control scheme was demonstrated by case studies using the benchmark SOFC dynamic model.

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Section: Steady-state ηMax Operationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Zhu³

2015

Energies

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“…In addition, the vast majority of the states, such as catalyst core temperatures and partial pressures, are not directly measurable. The common practice in this situation is to assume a rigorous non-linear model as the plant (Sanandaji et al, 2011;Wallace et al, 2012), and to develop a data-driven model (typically linear) from plant simulations, with which to implement model-based control techniques.…”

Section: Implementation Of Offset-free Model Predictive Controlmentioning

confidence: 99%

Dynamic simulation and control of an integrated gasifier/reformer system. Part II: Discrete and model predictive control

Seepersad¹,

Ghouse²,

Adams³

2015

Chemical Engineering Research and Design

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“…Many simulation investigations in the literature have been reviewed in this work in order to deliver performance prediction and parameter optimization. Some papers have studied the models of SOFCs for performance optimization [23][24][25][26][27][28][29][30], including the steady-and dynamic-states. Ramadhani et al [26] have discussed the application of SOFC, in particular, the optimization strategies.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Sensitivity Analysis for Various Geometries and Optimization of Solid Oxide Fuel Cells: A Review

Tonekabonimoghaddam

Shamiri²

2021

Eng

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Solid oxide fuel cells (SOFCs) are considered as one of the most promising fuel cell types for application as high efficiency power generators. This work reviews the use of computational fluid dynamics (CFD) to maximise SOFC performance and life, and minimise cost, by considering numerous configurations and designs. A critical analysis of available literature proves that detailed research on the simulation of thermal stress and its damaging impact on the SOFC is still in its early stage of development. Numerical simulation is expected to help optimize the design, operating parameters and fuel cell materials. Therefore, sensitivity analysis of fuel cell parameters using simulation models is analysed to address the issue. Finally, the present status of the SOFC optimization efforts is summarized so that unresolved problems can be identified and solved.

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Modeling and control of tubular solid-oxide fuel cell systems: II. Nonlinear model reduction and model predictive control

Cited by 38 publications

References 16 publications

Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Dynamic simulation and control of an integrated gasifier/reformer system. Part II: Discrete and model predictive control

Simulation and Sensitivity Analysis for Various Geometries and Optimization of Solid Oxide Fuel Cells: A Review

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