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...
Gespeichert in:
Veröffentlicht in: | Energy conversion and management 2018-04, Vol.162 (162), p.276-292 |
---|---|
Hauptverfasser: | , , , , , |
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 & 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 |