Dynamics of the direct methanol fuel cell (DMFC): experiments and model-based analysis

Sundmacher, Kai; Schultz, Thorsten; Zhou, Su; Scott, Keith; Ginkel, Martin; Gilles, E. D.

doi:10.1016/s0009-2509(00)00233-5

Cited by 174 publications

(125 citation statements)

References 14 publications

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“…As a result, for adsorption/desorption reactions, the catalyst concentration is usually included in the reaction constants, which are thus also strongly affected by the catalysts type. The use of coverage factors in kinetic models of catalytic reactions is widely used in fuel cell modeling [77,[99][100][101][102][103][104], and will be illustrated in the example presented below.…”

Section: Coverage Factorsmentioning

confidence: 99%

Fundamentals of Electrochemistry with Application to Direct Alcohol Fuel Cell Modeling

Sánchez-Monreal¹,

Vera²,

García-Salaberri³

2018

Proton Exchange Membrane Fuel Cell

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Fuel cell modeling is an inherently multiphysics problem. As a result, scientists and engineers trained in different areas are required to work together in this field to address the complex physicochemical phenomena involved in the design and optimization of fuel cell systems. This multidisciplinary approach forces researchers to become accustomed to new concepts. Electrochemical processes, for example, constitute the heart of a fuel cell. Accurate modeling of electrochemical reactions is therefore essential to successfully predict the performance of these devices. However, becoming familiar with the complex concepts of electrochemistry can be an arduous task for those who approach the study of fuel cells from fields other than chemical engineering. This process can extend over time and requires careful reading of many textbooks and papers, the most illuminating ones being hidden to the newcomer in a plethora of recent publications on the subject. The authors, who engaged in the study of fuel cells coming from the field of mechanical engineering, had to travel this road once and, with this contribution, would like to make the journey easier for those who come behind. As an illustrative example, the thermodynamic and electrochemical principles reviewed in this chapter are applied to a complex electrochemical system, the direct ethanol fuel cell (DEFC), reviewing recent work on this problem and suggesting future research directions.

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Section: Coverage Factorsmentioning

confidence: 99%

Fundamentals of Electrochemistry with Application to Direct Alcohol Fuel Cell Modeling

Sánchez-Monreal¹,

Vera²,

García-Salaberri³

2018

Proton Exchange Membrane Fuel Cell

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“…This model is adapted from Sundmacher et al (2001) and Xu et al (2005) and this is more detalied in its solution by Morales-Rodriguez (2009) and Cameron and Gani (2010). In order to highlight the differences between the results of the multiscale modelling and single-scale modelling, two scenarios have been chosen: • For the multiscale modelling approach (MS): the entire set of equations shown in table 1 was solved; it means, meso-scale and micro-scale were taken into account.…”

Section: Fig 7 Icas-mot Cape-open Unit Operationmentioning

confidence: 99%

Interoperability between Modelling Tools (MoT) with Thermodynamic Property Prediction Packages (Simulis® Thermodynamics) and Process Simulators (ProSimPlus) via CAPE-OPEN Standards

Morales-Rodríguez¹,

Gani²,

Déchelotte³

et al. 2011

Thermodynamics

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Thermodynamics 426both traditional and internet-based mechanism; assessment of the use and benefits of CAPE-OPEN standards for educations and training (Braunschweig et al., 2000). Currently, several commercial simulator vendors, modelling tools developers, etc. have incorporated CAPE-OPEN standard in their products, allowing the user a better and easier manner for implementation/combination among process modelling components (PMC) and process modelling environments (PME) (Pons, 2003). CAPE-OPEN is an abstract specification that can be subsequently implemented in COM, CORBA and .NET for bridging PMCs and PMEs. Recently, .NET framework has been introduced as a new alternative to provide the interoperability among different platforms. This new technology has been presented by Microsoft and it seems to be visualized as the future of the connections between different platforms. CO-LaN has published guidelines on how to use .NET with CAPE-OPEN, this is available in CO-LaN website at http://www.colan.org/News/Y06/news-0616.htm. In this chapter, a connection between a modelling tool (ICAS-MoT) representing a PMC and external simulators (ProSimPlus and Simulis® Thermodynamics) representing a PME is established and implemented through the CAPE-OPEN standards and highlighted through two case studies. The interoperability issues of ICAS-MoT and Simulis® Thermodynamics are highlighted through case study number one. Here, a thermodynamic property model is generated by ICAS-MoT and wrapped to satisfy the CAPE-OPEN standard. A second case study highlights the interaction issues between ICAS-MoT and ProSimPlus regarding the use of a non-conventional unit operation (model generated in ICAS-MoT) plugged to the ProSimPlus simulator environment. Furthermore, as this unit operation model is employing a multiscale modelling approach, these issues are also highlighted through the case study.

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“…Kulikovsk modeled a unit cell considering crossover, which calculates voltage loss between the anode and cathode based on Tafel's equation (8) . Sundmacher et al also proposed a unit cell model calculating over-voltage between the anode and cathode based on the reaction concentration through mass conservation (9) . However, existing models are not appropriate for the analysis mentioned.…”

Section: Unit Cell Modelingmentioning

confidence: 99%

Performance Analysis of Direct Methanol Fuel Cell for Optimal Operation

Cho

Kim

Chang

2009

JTST

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Direct methanol fuel cell (DMFC) is one of promising candidates for power sources of mobile devices. Efficient operation of fuel cell system is very important for long-sustained power supply due to limited tank size. It is necessary to investigate performance characteristics of the fuel cell stack for efficient control of the DMFC system. We have developed an electrochemical model of DMFC using experimental data. The generated voltage is modeled according to various operating conditions; methanol concentration, cell temperature, and load current. The crossover phenomenon is also included in cell model. The model fits the experimental data well within 10 percent error. It is found that the efficiency of the fuel cell is mainly dependent on concentration of the methanol solution. Maximum efficiency line exists at specific concentrations of methanol solution with respect to the amount of generated power. Also efficient control method of the stack is presented.

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Dynamics of the direct methanol fuel cell (DMFC): experiments and model-based analysis

Cited by 174 publications

References 14 publications

Fundamentals of Electrochemistry with Application to Direct Alcohol Fuel Cell Modeling

Fundamentals of Electrochemistry with Application to Direct Alcohol Fuel Cell Modeling

Interoperability between Modelling Tools (MoT) with Thermodynamic Property Prediction Packages (Simulis® Thermodynamics) and Process Simulators (ProSimPlus) via CAPE-OPEN Standards

Performance Analysis of Direct Methanol Fuel Cell for Optimal Operation

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