Control of a methanol reformer system using an Adaptive Neuro‐Fuzzy Inference System approach

Kristian Kjær Justesen; John  Andersen; Mikkel Præstholm Ehmsen; Søren Juhl Andreasen; Hamid Reza Shaker; Simon Lennart  Sahlin

Control of a methanol reformer system using an Adaptive Neuro‐Fuzzy Inference System approach

Kristian Kjær Justesen, John Andersen, Mikkel Præstholm Ehmsen, Søren Juhl Andreasen, Hamid Reza Shaker, Simon Lennart Sahlin

Aalborg University

Research output: Contribution to conference without publisher/journal › Poster › Research › peer-review

Abstract

This work presents a stoichiometry control strategy for a reformed methanol fuel cell system, which uses a reformer to produce hydrogen for an HTPEM fuel cell. One such system is the Serenus H3-350 battery charger developed by the Danish company Serenegy® which this work is based on.

Original language	English
Publication date	2012
Publication status	Published - 2012
Externally published	Yes
Event	3rd CARISMA International Conference on Medium and High Temperature Proton Exchange Membrane Fuel Cells - Copenhagen, Denmark Duration: 3. Sept 2012 → 5. Sept 2012

Conference

Conference	3rd CARISMA International Conference on Medium and High Temperature Proton Exchange Membrane Fuel Cells
Country/Territory	Denmark
City	Copenhagen
Period	03/09/2012 → 05/09/2012

Cite this

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title = "Control of a methanol reformer system using an Adaptive Neuro‐Fuzzy Inference System approach",

abstract = "This work presents a stoichiometry control strategy for a reformed methanol fuel cell system, which uses a reformer to produce hydrogen for an HTPEM fuel cell. One such system is the Serenus H3-350 battery charger developed by the Danish company Serenegy{\textregistered} which this work is based on.",

author = "Justesen, {Kristian Kj{\ae}r} and John Andersen and Ehmsen, {Mikkel Pr{\ae}stholm} and Andreasen, {S{\o}ren Juhl} and Shaker, {Hamid Reza} and Sahlin, {Simon Lennart}",

year = "2012",

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note = "3rd CARISMA International Conference on Medium and High Temperature Proton Exchange Membrane Fuel Cells ; Conference date: 03-09-2012 Through 05-09-2012",

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Control of a methanol reformer system using an Adaptive Neuro‐Fuzzy Inference System approach. / Justesen, Kristian Kjær; Andersen, John ; Ehmsen, Mikkel Præstholm et al.
2012. Poster session presented at 3rd CARISMA International Conference on Medium and High Temperature Proton Exchange Membrane Fuel Cells, Copenhagen, Denmark.

Research output: Contribution to conference without publisher/journal › Poster › Research › peer-review

TY - CONF

T1 - Control of a methanol reformer system using an Adaptive Neuro‐Fuzzy Inference System approach

AU - Justesen, Kristian Kjær

AU - Andersen, John

AU - Ehmsen, Mikkel Præstholm

AU - Andreasen, Søren Juhl

AU - Shaker, Hamid Reza

AU - Sahlin, Simon Lennart

PY - 2012

Y1 - 2012

N2 - This work presents a stoichiometry control strategy for a reformed methanol fuel cell system, which uses a reformer to produce hydrogen for an HTPEM fuel cell. One such system is the Serenus H3-350 battery charger developed by the Danish company Serenegy® which this work is based on.

AB - This work presents a stoichiometry control strategy for a reformed methanol fuel cell system, which uses a reformer to produce hydrogen for an HTPEM fuel cell. One such system is the Serenus H3-350 battery charger developed by the Danish company Serenegy® which this work is based on.

M3 - Poster

T2 - 3rd CARISMA International Conference on Medium and High Temperature Proton Exchange Membrane Fuel Cells

Y2 - 3 September 2012 through 5 September 2012

ER -

Control of a methanol reformer system using an Adaptive Neuro‐Fuzzy Inference System approach

Abstract

Conference

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