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",
note = "Project: 101145 SHP: TransSmart",
year = "2018",
month = "3",
day = "1",
doi = "10.1016/j.ijhydene.2017.12.158",
language = "English",
volume = "43",
pages = "4143--4159",
journal = "International Journal of Hydrogen Energy",
issn = "0360-3199",
publisher = "Elsevier",
number = "9",

}

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

UR - http://www.scopus.com/inward/record.url?scp=85041119848&partnerID=8YFLogxK

U2 - 10.1016/j.ijhydene.2017.12.158

DO - 10.1016/j.ijhydene.2017.12.158

M3 - Article

AN - SCOPUS:85041119848

VL - 43

SP - 4143

EP - 4159

JO - International Journal of Hydrogen Energy

JF - International Journal of Hydrogen Energy

SN - 0360-3199

IS - 9

ER -