Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells

•The gas diffusion phenomena through GDL in serpentine pipeline is fully described.•A three levels iterative solver is use to calculate the implicit physical quantities.•A 2-D, multi-physical real-time modeling approach is fully developed for PEMFC.•A global parameters sensitivity study is online pe...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Energy conversion and management 2018-04, Vol.162 (162), p.276-292
Hauptverfasser: Zhou, Daming, Trang Nguyen, Thu, Breaz, Elena, Zhao, Dongdong, Clénet, Stéphane, Gao, Fei
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 292
container_issue 162
container_start_page 276
container_title Energy conversion and management
container_volume 162
creator Zhou, Daming
Trang Nguyen, Thu
Breaz, Elena
Zhao, Dongdong
Clénet, Stéphane
Gao, Fei
description •The gas diffusion phenomena through GDL in serpentine pipeline is fully described.•A three levels iterative solver is use to calculate the implicit physical quantities.•A 2-D, multi-physical real-time modeling approach is fully developed for PEMFC.•A global parameters sensitivity study is online performed using iterative LAR method.•The interactions between different physical quantities and outputs are evaluated. This paper presents a 2-D real-time modeling approach for a proton-exchange-membrane fuel cell (PEMFC). The proposed model covers multi-physical domains for both fluidic and electrochemical features, which considers in particular the flow field geometric form of fuel cell. The characteristics of reactant gas convection in the serpentine gas pipeline and diffusion phenomenon through the gas diffusion layer (GDL) are thoroughly considered in fluidic domain model. In addition, a three levels iterative solver is developed in order to accurately calculate the implicit spatial physical quantities distribution in electrochemical domain. Moreover, the proposed 2-D real-time modeling approach uses a numerical method to achieve a fast execution time, and can thus be further easily applied to any real-time control implementation or online diagnostic system. After experimental validation under different fuel cell operating conditions, an iterative Least Angle Regression (LAR) method is used to efficiently and accurately perform the global parameters sensitivity analysis based on Sobol definition. The online analysis results give an insight into the influences of modeling parameters on fuel cell performance. The effect of interactions between parameters’ sensitivities is especially investigated, which can provide useful information for degradation understanding, parameters tuning, re-calibration of the parameters and online prognostic.
doi_str_mv 10.1016/j.enconman.2018.02.036
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01858656v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0196890418301468</els_id><sourcerecordid>2056466051</sourcerecordid><originalsourceid>FETCH-LOGICAL-c461t-abcc7864086215bd360b80272fe95b82e7a2a2309256f6f4cd569b5ed2a3b123</originalsourceid><addsrcrecordid>eNqFkUGP1DAMhSsEEsPCX0CROHFIcdImbW-sVrCLNBKXvUdp4rIZpcmQZAbmyi8n1QBXTrasz09-fk3zlkHLgMkPhxaDiWHVoeXAxhZ4C5181uzYOEyUcz48b3bAJknHCfqXzaucDwDQCZC75te9j7P25KiTXrFgyiRjyK64sysXooP2l-xybSyxeEYfjyuGQuJCNCk_IrVu3fhYQZJQe1rqgKzRot-gY4olBoo_zZMO35CuuM5JByTLqQIGvc-vmxeL9hnf_Kk3zePnT493D3T_9f7L3e2eml6yQvVszDDKHkbJmZhtJ2EegQ98wUnMI8dBc807mLiQi1x6Y4WcZoGW625mvLtp3l9ln7RXx-RWnS4qaqcebvdqm9XfiVEKeWaVfXdl6_nfT5iLOsRTqhaz4iBkLyWIjZJXyqSYc8LlnywDtUWjDupvNGqLRgFXNZq6-PG6iNXu2WFS2bhKonUJTVE2uv9J_AZRfJyh</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2056466051</pqid></control><display><type>article</type><title>Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Zhou, Daming ; Trang Nguyen, Thu ; Breaz, Elena ; Zhao, Dongdong ; Clénet, Stéphane ; Gao, Fei</creator><creatorcontrib>Zhou, Daming ; Trang Nguyen, Thu ; Breaz, Elena ; Zhao, Dongdong ; Clénet, Stéphane ; Gao, Fei</creatorcontrib><description>•The gas diffusion phenomena through GDL in serpentine pipeline is fully described.•A three levels iterative solver is use to calculate the implicit physical quantities.•A 2-D, multi-physical real-time modeling approach is fully developed for PEMFC.•A global parameters sensitivity study is online performed using iterative LAR method.•The interactions between different physical quantities and outputs are evaluated. This paper presents a 2-D real-time modeling approach for a proton-exchange-membrane fuel cell (PEMFC). The proposed model covers multi-physical domains for both fluidic and electrochemical features, which considers in particular the flow field geometric form of fuel cell. The characteristics of reactant gas convection in the serpentine gas pipeline and diffusion phenomenon through the gas diffusion layer (GDL) are thoroughly considered in fluidic domain model. In addition, a three levels iterative solver is developed in order to accurately calculate the implicit spatial physical quantities distribution in electrochemical domain. Moreover, the proposed 2-D real-time modeling approach uses a numerical method to achieve a fast execution time, and can thus be further easily applied to any real-time control implementation or online diagnostic system. After experimental validation under different fuel cell operating conditions, an iterative Least Angle Regression (LAR) method is used to efficiently and accurately perform the global parameters sensitivity analysis based on Sobol definition. The online analysis results give an insight into the influences of modeling parameters on fuel cell performance. The effect of interactions between parameters’ sensitivities is especially investigated, which can provide useful information for degradation understanding, parameters tuning, re-calibration of the parameters and online prognostic.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2018.02.036</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Automatic ; Calibration ; Convection ; Diagnostic systems ; Diffusion ; Diffusion layers ; Effect of interactions ; Electric power ; Electrochemistry ; Engineering Sciences ; Flow field geometric form ; Fluid mechanics ; Fuel cells ; Fuel technology ; Gas pipelines ; Gaseous diffusion ; Global parameters sensitivity ; Internet ; Iterative methods ; Mathematical models ; Mechanics ; Natural gas ; Numerical methods ; On-line systems ; Parameter sensitivity ; Physics ; Proton exchange membrane fuel cell ; Proton exchange membrane fuel cells ; Real time ; Regression analysis ; Sensitivity analysis ; Serpentine ; Studies ; Thermics ; Two dimensional analysis ; Two dimensional models</subject><ispartof>Energy conversion and management, 2018-04, Vol.162 (162), p.276-292</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Apr 15, 2018</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c461t-abcc7864086215bd360b80272fe95b82e7a2a2309256f6f4cd569b5ed2a3b123</citedby><cites>FETCH-LOGICAL-c461t-abcc7864086215bd360b80272fe95b82e7a2a2309256f6f4cd569b5ed2a3b123</cites><orcidid>0000-0001-9076-9718</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enconman.2018.02.036$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3548,27922,27923,45993</link.rule.ids><backlink>$$Uhttps://hal.science/hal-01858656$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhou, Daming</creatorcontrib><creatorcontrib>Trang Nguyen, Thu</creatorcontrib><creatorcontrib>Breaz, Elena</creatorcontrib><creatorcontrib>Zhao, Dongdong</creatorcontrib><creatorcontrib>Clénet, Stéphane</creatorcontrib><creatorcontrib>Gao, Fei</creatorcontrib><title>Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells</title><title>Energy conversion and management</title><description>•The gas diffusion phenomena through GDL in serpentine pipeline is fully described.•A three levels iterative solver is use to calculate the implicit physical quantities.•A 2-D, multi-physical real-time modeling approach is fully developed for PEMFC.•A global parameters sensitivity study is online performed using iterative LAR method.•The interactions between different physical quantities and outputs are evaluated. This paper presents a 2-D real-time modeling approach for a proton-exchange-membrane fuel cell (PEMFC). The proposed model covers multi-physical domains for both fluidic and electrochemical features, which considers in particular the flow field geometric form of fuel cell. The characteristics of reactant gas convection in the serpentine gas pipeline and diffusion phenomenon through the gas diffusion layer (GDL) are thoroughly considered in fluidic domain model. In addition, a three levels iterative solver is developed in order to accurately calculate the implicit spatial physical quantities distribution in electrochemical domain. Moreover, the proposed 2-D real-time modeling approach uses a numerical method to achieve a fast execution time, and can thus be further easily applied to any real-time control implementation or online diagnostic system. After experimental validation under different fuel cell operating conditions, an iterative Least Angle Regression (LAR) method is used to efficiently and accurately perform the global parameters sensitivity analysis based on Sobol definition. The online analysis results give an insight into the influences of modeling parameters on fuel cell performance. The effect of interactions between parameters’ sensitivities is especially investigated, which can provide useful information for degradation understanding, parameters tuning, re-calibration of the parameters and online prognostic.</description><subject>Automatic</subject><subject>Calibration</subject><subject>Convection</subject><subject>Diagnostic systems</subject><subject>Diffusion</subject><subject>Diffusion layers</subject><subject>Effect of interactions</subject><subject>Electric power</subject><subject>Electrochemistry</subject><subject>Engineering Sciences</subject><subject>Flow field geometric form</subject><subject>Fluid mechanics</subject><subject>Fuel cells</subject><subject>Fuel technology</subject><subject>Gas pipelines</subject><subject>Gaseous diffusion</subject><subject>Global parameters sensitivity</subject><subject>Internet</subject><subject>Iterative methods</subject><subject>Mathematical models</subject><subject>Mechanics</subject><subject>Natural gas</subject><subject>Numerical methods</subject><subject>On-line systems</subject><subject>Parameter sensitivity</subject><subject>Physics</subject><subject>Proton exchange membrane fuel cell</subject><subject>Proton exchange membrane fuel cells</subject><subject>Real time</subject><subject>Regression analysis</subject><subject>Sensitivity analysis</subject><subject>Serpentine</subject><subject>Studies</subject><subject>Thermics</subject><subject>Two dimensional analysis</subject><subject>Two dimensional models</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkUGP1DAMhSsEEsPCX0CROHFIcdImbW-sVrCLNBKXvUdp4rIZpcmQZAbmyi8n1QBXTrasz09-fk3zlkHLgMkPhxaDiWHVoeXAxhZ4C5181uzYOEyUcz48b3bAJknHCfqXzaucDwDQCZC75te9j7P25KiTXrFgyiRjyK64sysXooP2l-xybSyxeEYfjyuGQuJCNCk_IrVu3fhYQZJQe1rqgKzRot-gY4olBoo_zZMO35CuuM5JByTLqQIGvc-vmxeL9hnf_Kk3zePnT493D3T_9f7L3e2eml6yQvVszDDKHkbJmZhtJ2EegQ98wUnMI8dBc807mLiQi1x6Y4WcZoGW625mvLtp3l9ln7RXx-RWnS4qaqcebvdqm9XfiVEKeWaVfXdl6_nfT5iLOsRTqhaz4iBkLyWIjZJXyqSYc8LlnywDtUWjDupvNGqLRgFXNZq6-PG6iNXu2WFS2bhKonUJTVE2uv9J_AZRfJyh</recordid><startdate>20180415</startdate><enddate>20180415</enddate><creator>Zhou, Daming</creator><creator>Trang Nguyen, Thu</creator><creator>Breaz, Elena</creator><creator>Zhao, Dongdong</creator><creator>Clénet, Stéphane</creator><creator>Gao, Fei</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-9076-9718</orcidid></search><sort><creationdate>20180415</creationdate><title>Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells</title><author>Zhou, Daming ; Trang Nguyen, Thu ; Breaz, Elena ; Zhao, Dongdong ; Clénet, Stéphane ; Gao, Fei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c461t-abcc7864086215bd360b80272fe95b82e7a2a2309256f6f4cd569b5ed2a3b123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Automatic</topic><topic>Calibration</topic><topic>Convection</topic><topic>Diagnostic systems</topic><topic>Diffusion</topic><topic>Diffusion layers</topic><topic>Effect of interactions</topic><topic>Electric power</topic><topic>Electrochemistry</topic><topic>Engineering Sciences</topic><topic>Flow field geometric form</topic><topic>Fluid mechanics</topic><topic>Fuel cells</topic><topic>Fuel technology</topic><topic>Gas pipelines</topic><topic>Gaseous diffusion</topic><topic>Global parameters sensitivity</topic><topic>Internet</topic><topic>Iterative methods</topic><topic>Mathematical models</topic><topic>Mechanics</topic><topic>Natural gas</topic><topic>Numerical methods</topic><topic>On-line systems</topic><topic>Parameter sensitivity</topic><topic>Physics</topic><topic>Proton exchange membrane fuel cell</topic><topic>Proton exchange membrane fuel cells</topic><topic>Real time</topic><topic>Regression analysis</topic><topic>Sensitivity analysis</topic><topic>Serpentine</topic><topic>Studies</topic><topic>Thermics</topic><topic>Two dimensional analysis</topic><topic>Two dimensional models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Daming</creatorcontrib><creatorcontrib>Trang Nguyen, Thu</creatorcontrib><creatorcontrib>Breaz, Elena</creatorcontrib><creatorcontrib>Zhao, Dongdong</creatorcontrib><creatorcontrib>Clénet, Stéphane</creatorcontrib><creatorcontrib>Gao, Fei</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Energy conversion and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Daming</au><au>Trang Nguyen, Thu</au><au>Breaz, Elena</au><au>Zhao, Dongdong</au><au>Clénet, Stéphane</au><au>Gao, Fei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells</atitle><jtitle>Energy conversion and management</jtitle><date>2018-04-15</date><risdate>2018</risdate><volume>162</volume><issue>162</issue><spage>276</spage><epage>292</epage><pages>276-292</pages><issn>0196-8904</issn><eissn>1879-2227</eissn><abstract>•The gas diffusion phenomena through GDL in serpentine pipeline is fully described.•A three levels iterative solver is use to calculate the implicit physical quantities.•A 2-D, multi-physical real-time modeling approach is fully developed for PEMFC.•A global parameters sensitivity study is online performed using iterative LAR method.•The interactions between different physical quantities and outputs are evaluated. This paper presents a 2-D real-time modeling approach for a proton-exchange-membrane fuel cell (PEMFC). The proposed model covers multi-physical domains for both fluidic and electrochemical features, which considers in particular the flow field geometric form of fuel cell. The characteristics of reactant gas convection in the serpentine gas pipeline and diffusion phenomenon through the gas diffusion layer (GDL) are thoroughly considered in fluidic domain model. In addition, a three levels iterative solver is developed in order to accurately calculate the implicit spatial physical quantities distribution in electrochemical domain. Moreover, the proposed 2-D real-time modeling approach uses a numerical method to achieve a fast execution time, and can thus be further easily applied to any real-time control implementation or online diagnostic system. After experimental validation under different fuel cell operating conditions, an iterative Least Angle Regression (LAR) method is used to efficiently and accurately perform the global parameters sensitivity analysis based on Sobol definition. The online analysis results give an insight into the influences of modeling parameters on fuel cell performance. The effect of interactions between parameters’ sensitivities is especially investigated, which can provide useful information for degradation understanding, parameters tuning, re-calibration of the parameters and online prognostic.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2018.02.036</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-9076-9718</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0196-8904
ispartof Energy conversion and management, 2018-04, Vol.162 (162), p.276-292
issn 0196-8904
1879-2227
language eng
recordid cdi_hal_primary_oai_HAL_hal_01858656v1
source ScienceDirect Journals (5 years ago - present)
subjects Automatic
Calibration
Convection
Diagnostic systems
Diffusion
Diffusion layers
Effect of interactions
Electric power
Electrochemistry
Engineering Sciences
Flow field geometric form
Fluid mechanics
Fuel cells
Fuel technology
Gas pipelines
Gaseous diffusion
Global parameters sensitivity
Internet
Iterative methods
Mathematical models
Mechanics
Natural gas
Numerical methods
On-line systems
Parameter sensitivity
Physics
Proton exchange membrane fuel cell
Proton exchange membrane fuel cells
Real time
Regression analysis
Sensitivity analysis
Serpentine
Studies
Thermics
Two dimensional analysis
Two dimensional models
title Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T20%3A18%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Global%20parameters%20sensitivity%20analysis%20and%20development%20of%20a%20two-dimensional%20real-time%20model%20of%20proton-exchange-membrane%20fuel%20cells&rft.jtitle=Energy%20conversion%20and%20management&rft.au=Zhou,%20Daming&rft.date=2018-04-15&rft.volume=162&rft.issue=162&rft.spage=276&rft.epage=292&rft.pages=276-292&rft.issn=0196-8904&rft.eissn=1879-2227&rft_id=info:doi/10.1016/j.enconman.2018.02.036&rft_dat=%3Cproquest_hal_p%3E2056466051%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2056466051&rft_id=info:pmid/&rft_els_id=S0196890418301468&rfr_iscdi=true