Estimation of CO concentration in high temperature PEM fuel cells using electrochemical impedance

Hans-Christian Becker Jensen, Søren Juhl Andreasen, Søren Knudsen Kær, Erik Schaltz

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

256 Downloads (Pure)

Abstract

Storing electrical energy is one of the main challenges for modern society grid systems containing increasing amounts of renewable energy from wind, solar and wave sources. Although batteries are excellent storage devices for electrical energy, their usage is often limited by a low energy density, a possible solution, an avoidance of the long recharging time is combining them with the use of fuel cells. Fuel cells continuously deliver electrical power as long as a proper fuel supply is maintained. The ideal fuel for fuel cells is hydrogen, which in it’s pure for has high volumetric storage requirements. One of the solutions to this fuel storage problem is using liquid fuels such as methanol that through a chemical reformer converts the fuel into a hydrogen rich gas mixture. Methanol is a liquid fuel, which has low storage requirements and high temperature polymer electrolyte membrane (HTPEM) fuel cells can eciently run on the reformed hydrogen rich gas, although with reduced performance depending on the contaminants, such as CO, in the gas.
By estimating the amount of CO in the fuel cell, it could be possible to adjust the fuel cell system operating parameters to increase performance of the reformer and fuel cell stack. This work focus on the estimation of CO percentage in the hydrogen rich anode gas in a fuel cell, by combining signal processing ideas with impedance information of the fuel cell while it is running. The presented approach functions during in the normal operating range of an HTPEM fuel cell.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Fundamentals & Development of Fuel Cells : FDFC 2013
Number of pages12
PublisherEuropean Institute for Energy Research (EIFER)
Publication date16 Apr 2013
Publication statusPublished - 16 Apr 2013
Event5th International Conference FDFC2013: Fundamentals & Development of Fuel Cells - Kongresszentrum Karlsruhe, Karlsruhe, Germany
Duration: 16 Apr 201318 Apr 2013

Conference

Conference5th International Conference FDFC2013
LocationKongresszentrum Karlsruhe
CountryGermany
CityKarlsruhe
Period16/04/201318/04/2013

Fingerprint

Fuel cells
Hydrogen
Temperature
Liquid fuels
Proton exchange membrane fuel cells (PEMFC)
Methanol
Gases
Fuel storage
Solar wind
Gas mixtures
Signal processing
Anodes
Impurities

Keywords

  • HTPEM
  • Fuel cell
  • Methanol
  • Reforming
  • CO estimation

Cite this

Jensen, H-C. B., Andreasen, S. J., Kær, S. K., & Schaltz, E. (2013). Estimation of CO concentration in high temperature PEM fuel cells using electrochemical impedance. In Proceedings of the 5th International Conference on Fundamentals & Development of Fuel Cells: FDFC 2013 European Institute for Energy Research (EIFER).
Jensen, Hans-Christian Becker ; Andreasen, Søren Juhl ; Kær, Søren Knudsen ; Schaltz, Erik. / Estimation of CO concentration in high temperature PEM fuel cells using electrochemical impedance. Proceedings of the 5th International Conference on Fundamentals & Development of Fuel Cells: FDFC 2013. European Institute for Energy Research (EIFER), 2013.
@inproceedings{7c0307371ae84a54862e3e88867434d6,
title = "Estimation of CO concentration in high temperature PEM fuel cells using electrochemical impedance",
abstract = "Storing electrical energy is one of the main challenges for modern society grid systems containing increasing amounts of renewable energy from wind, solar and wave sources. Although batteries are excellent storage devices for electrical energy, their usage is often limited by a low energy density, a possible solution, an avoidance of the long recharging time is combining them with the use of fuel cells. Fuel cells continuously deliver electrical power as long as a proper fuel supply is maintained. The ideal fuel for fuel cells is hydrogen, which in it’s pure for has high volumetric storage requirements. One of the solutions to this fuel storage problem is using liquid fuels such as methanol that through a chemical reformer converts the fuel into a hydrogen rich gas mixture. Methanol is a liquid fuel, which has low storage requirements and high temperature polymer electrolyte membrane (HTPEM) fuel cells can eciently run on the reformed hydrogen rich gas, although with reduced performance depending on the contaminants, such as CO, in the gas.By estimating the amount of CO in the fuel cell, it could be possible to adjust the fuel cell system operating parameters to increase performance of the reformer and fuel cell stack. This work focus on the estimation of CO percentage in the hydrogen rich anode gas in a fuel cell, by combining signal processing ideas with impedance information of the fuel cell while it is running. The presented approach functions during in the normal operating range of an HTPEM fuel cell.",
keywords = "HTPEM, Fuel cell, Methanol, Reforming, CO estimation",
author = "Jensen, {Hans-Christian Becker} and Andreasen, {S{\o}ren Juhl} and K{\ae}r, {S{\o}ren Knudsen} and Erik Schaltz",
year = "2013",
month = "4",
day = "16",
language = "English",
booktitle = "Proceedings of the 5th International Conference on Fundamentals & Development of Fuel Cells",
publisher = "European Institute for Energy Research (EIFER)",

}

Jensen, H-CB, Andreasen, SJ, Kær, SK & Schaltz, E 2013, Estimation of CO concentration in high temperature PEM fuel cells using electrochemical impedance. in Proceedings of the 5th International Conference on Fundamentals & Development of Fuel Cells: FDFC 2013. European Institute for Energy Research (EIFER), 5th International Conference FDFC2013, Karlsruhe, Germany, 16/04/2013.

Estimation of CO concentration in high temperature PEM fuel cells using electrochemical impedance. / Jensen, Hans-Christian Becker; Andreasen, Søren Juhl; Kær, Søren Knudsen; Schaltz, Erik.

Proceedings of the 5th International Conference on Fundamentals & Development of Fuel Cells: FDFC 2013. European Institute for Energy Research (EIFER), 2013.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Estimation of CO concentration in high temperature PEM fuel cells using electrochemical impedance

AU - Jensen, Hans-Christian Becker

AU - Andreasen, Søren Juhl

AU - Kær, Søren Knudsen

AU - Schaltz, Erik

PY - 2013/4/16

Y1 - 2013/4/16

N2 - Storing electrical energy is one of the main challenges for modern society grid systems containing increasing amounts of renewable energy from wind, solar and wave sources. Although batteries are excellent storage devices for electrical energy, their usage is often limited by a low energy density, a possible solution, an avoidance of the long recharging time is combining them with the use of fuel cells. Fuel cells continuously deliver electrical power as long as a proper fuel supply is maintained. The ideal fuel for fuel cells is hydrogen, which in it’s pure for has high volumetric storage requirements. One of the solutions to this fuel storage problem is using liquid fuels such as methanol that through a chemical reformer converts the fuel into a hydrogen rich gas mixture. Methanol is a liquid fuel, which has low storage requirements and high temperature polymer electrolyte membrane (HTPEM) fuel cells can eciently run on the reformed hydrogen rich gas, although with reduced performance depending on the contaminants, such as CO, in the gas.By estimating the amount of CO in the fuel cell, it could be possible to adjust the fuel cell system operating parameters to increase performance of the reformer and fuel cell stack. This work focus on the estimation of CO percentage in the hydrogen rich anode gas in a fuel cell, by combining signal processing ideas with impedance information of the fuel cell while it is running. The presented approach functions during in the normal operating range of an HTPEM fuel cell.

AB - Storing electrical energy is one of the main challenges for modern society grid systems containing increasing amounts of renewable energy from wind, solar and wave sources. Although batteries are excellent storage devices for electrical energy, their usage is often limited by a low energy density, a possible solution, an avoidance of the long recharging time is combining them with the use of fuel cells. Fuel cells continuously deliver electrical power as long as a proper fuel supply is maintained. The ideal fuel for fuel cells is hydrogen, which in it’s pure for has high volumetric storage requirements. One of the solutions to this fuel storage problem is using liquid fuels such as methanol that through a chemical reformer converts the fuel into a hydrogen rich gas mixture. Methanol is a liquid fuel, which has low storage requirements and high temperature polymer electrolyte membrane (HTPEM) fuel cells can eciently run on the reformed hydrogen rich gas, although with reduced performance depending on the contaminants, such as CO, in the gas.By estimating the amount of CO in the fuel cell, it could be possible to adjust the fuel cell system operating parameters to increase performance of the reformer and fuel cell stack. This work focus on the estimation of CO percentage in the hydrogen rich anode gas in a fuel cell, by combining signal processing ideas with impedance information of the fuel cell while it is running. The presented approach functions during in the normal operating range of an HTPEM fuel cell.

KW - HTPEM

KW - Fuel cell

KW - Methanol

KW - Reforming

KW - CO estimation

M3 - Article in proceeding

BT - Proceedings of the 5th International Conference on Fundamentals & Development of Fuel Cells

PB - European Institute for Energy Research (EIFER)

ER -

Jensen H-CB, Andreasen SJ, Kær SK, Schaltz E. Estimation of CO concentration in high temperature PEM fuel cells using electrochemical impedance. In Proceedings of the 5th International Conference on Fundamentals & Development of Fuel Cells: FDFC 2013. European Institute for Energy Research (EIFER). 2013