Optimal operability by design in a methanol reforming-PEM fuel cell autonomous power system

Ipsakis, Dimitris; Voutetakis, Spyros; Papadopoulou, Simira; Seferlis, Panos

doi:10.1016/j.ijhydene.2012.02.134

Cited by 16 publications

(4 citation statements)

References 28 publications

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“…Annotations of the parameters applied in the mass and energy balance model are shown in Table 1. Several institutes have developed the chemical kinetics of autothermal reforming of DME [42][43][44]. Based on these studies, the individual steps of the reaction and kinetic equations used to describe the reaction rates are shown in Table 2, and the parameters can be found in Table 3.…”

Section: Atr Reformer Modelmentioning

confidence: 99%

Hydrogen Production System through Dimethyl Ether Autothermal Reforming based on Model Predictive Control

Zhang¹,

Jung²,

Kim³

2022

Preprint

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The objective of this study is to design an optimal model predictive control (MPC) strategy using manipulated variables to control the production of a sufficient amount of hydrogen through low temperature autothermal reforming of dimethyl ether (DME), a reforming reaction performed using PdO/ZnO/γ-Al2O3 catalysts coated on honeycomb cordierite ceramics. Experiments and simulation have verified that the optimal activity temperature of the catalyst is 400 °C, and the hydrogen volume fraction in syngas is over 43%. In the implementation of the hydrogen production system, the MPC controller can precisely determine the feed rates of DME, high-purity air, and water based on the space state equation of the reformer, to achieve the anti-disturbance of the reformer temperature. Thus, the reduction of hydrogen yield and sintering of the catalyst as a result of overheating are prevented. As the static and dynamic performance of hydrogen production exhibits excellent tracking of the setpoints, an autonomous, automated, and reliable continuous system was designed to meet the desired hydrogen demand situation. This study shows that an autonomous, automated, and reliable continuous hydrogen production reforming system can be designed to actively respond to the on-board hydrogen usage situation.

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Section: Atr Reformer Modelmentioning

confidence: 99%

Hydrogen Production System through Dimethyl Ether Autothermal Reforming based on Model Predictive Control

Zhang¹,

Jung²,

Kim³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Overall reaction rate for component j mol/s/m Several institutes have developed the chemical kinetics of the autothermal reforming of DME [42][43][44]. Based on these studies, the individual steps of the reaction and kinetic equations used to describe the reaction rates are shown in Table 2, and the parameters can be found in Table 3.…”

Section: Parametersmentioning

confidence: 99%

Hydrogen Production System through Dimethyl Ether Autothermal Reforming, Based on Model Predictive Control

2022

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In this study, a thermodynamic analysis of the low temperature autothermal reforming (ATR) of dimethyl ether (DME) for hydrogen production was conducted. The Pd/Zn/γ-Al2O3 catalyst coated on the honeycomb cordierite ceramic was applied to catalyze the reaction, and the optimum activity temperature of this catalyst was demonstrated experimentally and through simulations to be 400 °C. Furthermore, an optimal model predictive control (MPC) strategy was designed to control the hydrogen production rate and the catalyst temperature. Experimental and simulation results indicated that the controller was automated and continuously reliable in the hydrogen production system. By establishing the state-space equations of the autothermal reformer, it can precisely control the feed rates of DME, high-purity air and deionized water. Ultimately, the hydrogen production rate can be precisely controlled when the demand curve changed from 0.09 to 0.23 mol/min, while the catalyst temperature was maintained at 400 °C, with a temporary fluctuation of 4 °C during variations of the hydrogen production rate. Therefore, the tracking performance of the hydrogen production and the anti-disturbance were satisfactory.

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“…In a similar study [14], the net electrical and thermal efficiencies were considered as objectives to provide multiple optimal operating conditions at various electrical and thermal generation levels using models developed in [15]. Finally, there have been studies dealing with the mathematical description and control analysis of a methanol autothermal reformer/LT-PEMFC autonomous system [16,17]. Analytical models of the components have been developed and used in the formulation of alternative flowsheets in order to evaluate their response to multiple simultaneous disturbances.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Model Predictive Control of an Autonomous Power System Based on Hydrocarbon Reforming and High Temperature Fuel Cell

et al. 2021

Self Cite

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The integration and control of energy systems for power generation consists of multiple heterogeneous subsystems, such as chemical, electrochemical, and thermal, and contains challenges that arise from the multi-way interactions due to complex dynamic responses among the involved subsystems. The main motivation of this work is to design the control system for an autonomous automated and sustainable system that meets a certain power demand profile. A systematic methodology for the integration and control of a hybrid system that converts liquefied petroleum gas (LPG) to hydrogen, which is subsequently used to generate electrical power in a high-temperature fuel cell that charges a Li-Ion battery unit, is presented. An advanced nonlinear model predictive control (NMPC) framework is implemented to achieve this goal. The operational objective is the satisfaction of power demand while maintaining operation within a safe region and ensuring thermal and chemical balance. The proposed NMPC framework based on experimentally validated models is evaluated through simulation for realistic operation scenarios that involve static and dynamic variations of the power load.

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Optimal operability by design in a methanol reforming-PEM fuel cell autonomous power system

Cited by 16 publications

References 28 publications

Hydrogen Production System through Dimethyl Ether Autothermal Reforming based on Model Predictive Control

Hydrogen Production System through Dimethyl Ether Autothermal Reforming based on Model Predictive Control

Hydrogen Production System through Dimethyl Ether Autothermal Reforming, Based on Model Predictive Control

Nonlinear Model Predictive Control of an Autonomous Power System Based on Hydrocarbon Reforming and High Temperature Fuel Cell

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