Control-oriented model of a membrane humidifier for fuel cell applications

Solsona, Miguel; Kunusch, Cristian; Ocampo‐Martínez, Carlos

doi:10.1016/j.enconman.2017.01.036

Cited by 48 publications

(13 citation statements)

References 30 publications

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“…For instance, a control-oriented humidification model is Fig. 8 Equivalent circuit of FC [55] proposed in [64]. Two different dynamic control-oriented thermal models are proposed in [64].…”

Section: Fuel Cell System Modelingmentioning

confidence: 99%

“…8 Equivalent circuit of FC [55] proposed in [64]. Two different dynamic control-oriented thermal models are proposed in [64]. In [65] and [66], the model proposed in [63] is simplified to focus on air-fed control problem.…”

Section: Fuel Cell System Modelingmentioning

confidence: 99%

“…Among the proposed control methods, most are dedicated to the air fed subsystem control since the subsystem shows high-nonlinear behavior [65,66]. The temperature and humidification controls have also begun to attract the attention of the control community [64,90]. Some problems on the first level control are still open.…”

Section: System Integration and Controlmentioning

confidence: 99%

See 2 more Smart Citations

A review of the applications of fuel cells in microgrids: opportunities and challenges

Zheng

et al. 2019

BMC Energy

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Since the last two decades, microgrid, as one typical structure in smart grid framework, has been receiving increasing attention in the world. Meanwhile, fuel cell (FC), as one promising power source, has redrawn the attention of both academia and industry since the beginning of 21th century. Some encouraging achievements in FC technology have been realized thanks to the efforts taken in the last years. Due to this, it is seen that FC, as a clean and efficient energy source, is penetrating into different fields. Among the applications, integrating FCs into microgrids has shown interesting advantages on improving the performance of microgrids and promoting the use of the hydrogen energy. Some ongoing projects have shown that FCs of different power scales can be integrated into microgrids smartly and in different manners. Along with the advantages carried by the combination of the two technologies, many challenges lying on multiple domains are faced in the process. The challenges can be from the FC, the microgrid, and the integration of these two technologies. In this review paper, the advantages of integrating FCs into microgrids are summarized after recalling the knowledge background of FC. The challenges and ongoing researches on FCs and FCs based microgrids are then reviewed. Based on the analysis, the research directions are then extracted in view of the challenges.

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“…For instance, a control-oriented humidification model is Fig. 8 Equivalent circuit of FC [55] proposed in [64]. Two different dynamic control-oriented thermal models are proposed in [64].…”

Section: Fuel Cell System Modelingmentioning

confidence: 99%

Section: Fuel Cell System Modelingmentioning

confidence: 99%

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A review of the applications of fuel cells in microgrids: opportunities and challenges

Zheng

et al. 2019

BMC Energy

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“…There are also some theoretical models for simulation of the heat and mass transfer behavior of gas‐to‐gas membrane humidifiers. For example, Aytabi et al 19 proposed a new design of humidifiers with cross‐flow channels, while Solsona et al 20 developed a model for Nafion membrane gas humidifiers based on experimental data for fuel cell applications. Afshari et al 21 introduced theoretical and numerical models for the gas‐to‐gas membrane humidifiers.…”

Section: Introductionmentioning

confidence: 99%

A novel geometrical design of gas‐to‐gas planar membrane humidifier for proton electrolyte membrane fuel cells

Wang

Lee

et al. 2021

Int J Energy Res

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Summary A gas‐to‐gas membrane humidifier recovers heat and water from the wet hot exhaust gas of a proton electrolyte membrane fuel cell and keeps the inlet feed air of the cell warm and humid. This type of humidifier does not need external water sources, and it is compact and efficient with practical applications in portable devices and automobiles. In the present study, four potential designs of gas‐to‐gas planar membrane humidifiers were introduced, and their characteristic behavior was examined. The simulation results showed that the geometrical design of the humidifier channels could notably influence the efficiency of the device. It was found that a three‐inlet serpentine humidifier could provide the largest water recovery ratio and the heat transfer rate among the proposed designs, with a slight increase in the pressure drop. Hence, the three‐inlet design was selected as the optimal geometrical design of the humidifier. Then, the impacts of design parameters on the characteristic behavior of the three‐channel model were explored. The results show an increase in the outlet (wet side) temperature and relative humidity enhances the water recovery and efficiency of the humidifier. The outcomes of the present research are of practical interest for the design of novel commercial humidifiers.

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“…Energy management was utilized on the system and then a control design of the fuel cell was applied for the temperature and gas flows. Solsona et al proposed an experimental model for a low‐temperature PEMFC system in the presence of a humidifier. Nafion membrane fuel cell was used for modeling and a control design was then used to show its efficiency toward the empirical achievements.…”

Section: Introductionmentioning

confidence: 99%

Application of the meta‐heuristics for optimizing exergy of a HT‐PEMFC

Han

Khodaei

2020

Int J Energy Res

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Summary The aim of this study is to analyze the exergy efficiency of a high‐temperature proton exchange membrane fuel cell. To do this purpose, meta‐heuristic technique has been used. First, the model of a membrane fuel cell is simulated and the polarization diagram shows a potent agreement with empirical data. Then, a new improved version of collective animal behavior algorithm is utilized for evaluating and optimizing the thermodynamic irreversibility, exergy efficiency, and work of the fuel cell. The algorithm uses opposition‐based learning and Lévy flight for improving the algorithm's premature convergence shortcoming. The result of this study shows that by comparison with standard collective animal behavior algorithm, genetic algorithm, and empirical results, the proposed algorithm has better achievements for both terms of optimal value finding and convergence strength.

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Control-oriented model of a membrane humidifier for fuel cell applications

Cited by 48 publications

References 30 publications

A review of the applications of fuel cells in microgrids: opportunities and challenges

A review of the applications of fuel cells in microgrids: opportunities and challenges

A novel geometrical design of gas‐to‐gas planar membrane humidifier for proton electrolyte membrane fuel cells

Application of the meta‐heuristics for optimizing exergy of a HT‐PEMFC

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