Probabilistic risk model for assessing hydrogen fuel contamination effects in automotive FC systems

R. Tuominen, N. Helppolainen, J. Ihonen, J. Viitakangas

    Research output: Contribution to journalArticleScientificpeer-review

    3 Citations (Scopus)

    Abstract

    Traces of contaminants in hydrogen fuel are known to have adverse effects on the performance of fuel cell road vehicles. In order to control the risk of such effects, tentative standards, such as ISO 14687-2:2012, have been issued specifying requirements for the purity of the dispensed fuel regarding selected individual contaminants. These concentrations limits are, however, based on limited test data and qualitative assessment of the risk.In this paper, a probabilistic simulation model developed in the HyCoRA project is described. The model allows quantification of the risk induced by fuel contaminants on FCEVs' performance, and assessment of the overall cost impact of quality control measure options if these are introduced in the fuel delivery chain. Thus, the quality control options having the best overall cost impact and being most cost-effective in controlling the fuel impurity risk can be pointed out. The model is implemented in MATLAB and applies a Monte Carlo simulation method to process the various sources of variability and uncertainty involved in such assessment.The FC contamination part of the model is based on CO adsorption on the anode platinum surface. In the model, the effects of catalyst aging, FCEV use profile, and the presence of CO-forming and other contaminants in the fuel coming from different production paths can be considered. To start with, only the effect of CO in hydrogen fuel produced by the NG-SMR-PSA process has been implemented. The model, however, can be expanded to other contaminants and hydrogen fuel production methods as sufficient data becomes available through experiments and data collection activities.The calculation example demonstrates proper functioning and outputs of the currently implemented model. For future exploitation, the current Matlab code is openly available for downloads on the HyCoRA project web-page.

    Original languageEnglish
    Pages (from-to)4143-4159
    Number of pages17
    JournalInternational Journal of Hydrogen Energy
    Volume43
    Issue number9
    DOIs
    Publication statusPublished - 1 Mar 2018
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    fuel contamination
    hydrogen fuels
    Hydrogen fuels
    Contamination
    contaminants
    Impurities
    quality control
    costs
    Quality control
    fuel production
    production engineering
    Costs
    exploitation
    roads
    MATLAB
    fuel cells
    Websites
    Fuel cells
    Platinum
    delivery

    Keywords

    • Carbon monoxide
    • Contamination
    • Cost optimization
    • PEMFC
    • Quality control
    • Risk model

    Cite this

    @article{5b9a94a664d04c27a7f117a25a098ef4,
    title = "Probabilistic risk model for assessing hydrogen fuel contamination effects in automotive FC systems",
    abstract = "Traces of contaminants in hydrogen fuel are known to have adverse effects on the performance of fuel cell road vehicles. In order to control the risk of such effects, tentative standards, such as ISO 14687-2:2012, have been issued specifying requirements for the purity of the dispensed fuel regarding selected individual contaminants. These concentrations limits are, however, based on limited test data and qualitative assessment of the risk.In this paper, a probabilistic simulation model developed in the HyCoRA project is described. The model allows quantification of the risk induced by fuel contaminants on FCEVs' performance, and assessment of the overall cost impact of quality control measure options if these are introduced in the fuel delivery chain. Thus, the quality control options having the best overall cost impact and being most cost-effective in controlling the fuel impurity risk can be pointed out. The model is implemented in MATLAB and applies a Monte Carlo simulation method to process the various sources of variability and uncertainty involved in such assessment.The FC contamination part of the model is based on CO adsorption on the anode platinum surface. In the model, the effects of catalyst aging, FCEV use profile, and the presence of CO-forming and other contaminants in the fuel coming from different production paths can be considered. To start with, only the effect of CO in hydrogen fuel produced by the NG-SMR-PSA process has been implemented. The model, however, can be expanded to other contaminants and hydrogen fuel production methods as sufficient data becomes available through experiments and data collection activities.The calculation example demonstrates proper functioning and outputs of the currently implemented model. For future exploitation, the current Matlab code is openly available for downloads on the HyCoRA project web-page.",
    keywords = "Carbon monoxide, Contamination, Cost optimization, PEMFC, Quality control, Risk model",
    author = "R. Tuominen and N. Helppolainen and J. Ihonen and J. Viitakangas",
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    language = "English",
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    pages = "4143--4159",
    journal = "International Journal of Hydrogen Energy",
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    }

    Probabilistic risk model for assessing hydrogen fuel contamination effects in automotive FC systems. / Tuominen, R.; Helppolainen, N.; Ihonen, J.; Viitakangas, J.

    In: International Journal of Hydrogen Energy, Vol. 43, No. 9, 01.03.2018, p. 4143-4159.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Probabilistic risk model for assessing hydrogen fuel contamination effects in automotive FC systems

    AU - Tuominen, R.

    AU - Helppolainen, N.

    AU - Ihonen, J.

    AU - Viitakangas, J.

    N1 - Project: 101145 SHP: TransSmart

    PY - 2018/3/1

    Y1 - 2018/3/1

    N2 - Traces of contaminants in hydrogen fuel are known to have adverse effects on the performance of fuel cell road vehicles. In order to control the risk of such effects, tentative standards, such as ISO 14687-2:2012, have been issued specifying requirements for the purity of the dispensed fuel regarding selected individual contaminants. These concentrations limits are, however, based on limited test data and qualitative assessment of the risk.In this paper, a probabilistic simulation model developed in the HyCoRA project is described. The model allows quantification of the risk induced by fuel contaminants on FCEVs' performance, and assessment of the overall cost impact of quality control measure options if these are introduced in the fuel delivery chain. Thus, the quality control options having the best overall cost impact and being most cost-effective in controlling the fuel impurity risk can be pointed out. The model is implemented in MATLAB and applies a Monte Carlo simulation method to process the various sources of variability and uncertainty involved in such assessment.The FC contamination part of the model is based on CO adsorption on the anode platinum surface. In the model, the effects of catalyst aging, FCEV use profile, and the presence of CO-forming and other contaminants in the fuel coming from different production paths can be considered. To start with, only the effect of CO in hydrogen fuel produced by the NG-SMR-PSA process has been implemented. The model, however, can be expanded to other contaminants and hydrogen fuel production methods as sufficient data becomes available through experiments and data collection activities.The calculation example demonstrates proper functioning and outputs of the currently implemented model. For future exploitation, the current Matlab code is openly available for downloads on the HyCoRA project web-page.

    AB - Traces of contaminants in hydrogen fuel are known to have adverse effects on the performance of fuel cell road vehicles. In order to control the risk of such effects, tentative standards, such as ISO 14687-2:2012, have been issued specifying requirements for the purity of the dispensed fuel regarding selected individual contaminants. These concentrations limits are, however, based on limited test data and qualitative assessment of the risk.In this paper, a probabilistic simulation model developed in the HyCoRA project is described. The model allows quantification of the risk induced by fuel contaminants on FCEVs' performance, and assessment of the overall cost impact of quality control measure options if these are introduced in the fuel delivery chain. Thus, the quality control options having the best overall cost impact and being most cost-effective in controlling the fuel impurity risk can be pointed out. The model is implemented in MATLAB and applies a Monte Carlo simulation method to process the various sources of variability and uncertainty involved in such assessment.The FC contamination part of the model is based on CO adsorption on the anode platinum surface. In the model, the effects of catalyst aging, FCEV use profile, and the presence of CO-forming and other contaminants in the fuel coming from different production paths can be considered. To start with, only the effect of CO in hydrogen fuel produced by the NG-SMR-PSA process has been implemented. The model, however, can be expanded to other contaminants and hydrogen fuel production methods as sufficient data becomes available through experiments and data collection activities.The calculation example demonstrates proper functioning and outputs of the currently implemented model. For future exploitation, the current Matlab code is openly available for downloads on the HyCoRA project web-page.

    KW - Carbon monoxide

    KW - Contamination

    KW - Cost optimization

    KW - PEMFC

    KW - Quality control

    KW - Risk model

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    U2 - 10.1016/j.ijhydene.2017.12.158

    DO - 10.1016/j.ijhydene.2017.12.158

    M3 - Article

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    JO - International Journal of Hydrogen Energy

    JF - International Journal of Hydrogen Energy

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