Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)–Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel Cells

The automated process of coating catalyst layers on gas diffusion electrodes (GDEs) for high-temperature proton exchange membrane fuel cells results inherently into a number of defects. These defects consist of agglomerates in which the platinum sites cannot be accessed by phosphoric acid and which...

Full description

Bibliographic Details
Main Authors: Vladimir Gurau, Emory S. De Castro
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/6/1345
_version_ 1811298480557129728
author Vladimir Gurau
Emory S. De Castro
author_facet Vladimir Gurau
Emory S. De Castro
author_sort Vladimir Gurau
collection DOAJ
description The automated process of coating catalyst layers on gas diffusion electrodes (GDEs) for high-temperature proton exchange membrane fuel cells results inherently into a number of defects. These defects consist of agglomerates in which the platinum sites cannot be accessed by phosphoric acid and which are the consequence of an inconsistent coating, uncoated regions, scratches, knots, blemishes, folds, or attached fine particles&#8212;all ranging from &#956;m to mm size. These electrochemically inactive spots cause a reduction of the effective catalyst area per unit volume (cm<sup>2</sup>/cm<sup>3</sup>) and determine a drop in fuel cell performance. A computational fluid dynamics (CFD) model is presented that predicts performance variation caused by manufacturing tolerances and defects of the GDE and which enables the creation of a six-sigma product specification for Advent phosphoric acid (PA)-doped polybenzimidazole (PBI)-based membrane electrode assemblies (MEAs). The model was used to predict the total volume of defects that would cause a 10% drop in performance. It was found that a 10% performance drop at the nominal operating regime would be caused by uniformly distributed defects totaling 39% of the catalyst layer volume (~0.5 defects/&#956;m<sup>2</sup>). The study provides an upper bound for the estimation of the impact of the defect location on performance drop. It was found that the impact on the local current density is higher when the defect is located closer to the interface with the membrane. The local current density decays less than 2% in the presence of an isolated defect, regardless of its location along the active area of the catalyst layer.
first_indexed 2024-04-13T06:20:01Z
format Article
id doaj.art-6b079511dd194705857dbe6cf1174785
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-04-13T06:20:01Z
publishDate 2020-03-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-6b079511dd194705857dbe6cf11747852022-12-22T02:58:41ZengMDPI AGEnergies1996-10732020-03-01136134510.3390/en13061345en13061345Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)–Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel CellsVladimir Gurau0Emory S. De Castro1Department of Manufacturing Engineering, Georgia Southern University, Statesboro, GA 30458, USAAdvent Technologies, Inc., Cambridge, MA 02138, USAThe automated process of coating catalyst layers on gas diffusion electrodes (GDEs) for high-temperature proton exchange membrane fuel cells results inherently into a number of defects. These defects consist of agglomerates in which the platinum sites cannot be accessed by phosphoric acid and which are the consequence of an inconsistent coating, uncoated regions, scratches, knots, blemishes, folds, or attached fine particles&#8212;all ranging from &#956;m to mm size. These electrochemically inactive spots cause a reduction of the effective catalyst area per unit volume (cm<sup>2</sup>/cm<sup>3</sup>) and determine a drop in fuel cell performance. A computational fluid dynamics (CFD) model is presented that predicts performance variation caused by manufacturing tolerances and defects of the GDE and which enables the creation of a six-sigma product specification for Advent phosphoric acid (PA)-doped polybenzimidazole (PBI)-based membrane electrode assemblies (MEAs). The model was used to predict the total volume of defects that would cause a 10% drop in performance. It was found that a 10% performance drop at the nominal operating regime would be caused by uniformly distributed defects totaling 39% of the catalyst layer volume (~0.5 defects/&#956;m<sup>2</sup>). The study provides an upper bound for the estimation of the impact of the defect location on performance drop. It was found that the impact on the local current density is higher when the defect is located closer to the interface with the membrane. The local current density decays less than 2% in the presence of an isolated defect, regardless of its location along the active area of the catalyst layer.https://www.mdpi.com/1996-1073/13/6/1345phosphoric acid (pa)-doped polybenzimidazole (pbi)-based proton exchange membraneshigh-temperature proton exchange membrane fuel cells (ht-pemfc)prediction of performance variation caused by manufacturing tolerances and defectsmathematical modelsix-sigma product specification
spellingShingle Vladimir Gurau
Emory S. De Castro
Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)–Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel Cells
Energies
phosphoric acid (pa)-doped polybenzimidazole (pbi)-based proton exchange membranes
high-temperature proton exchange membrane fuel cells (ht-pemfc)
prediction of performance variation caused by manufacturing tolerances and defects
mathematical model
six-sigma product specification
title Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)–Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel Cells
title_full Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)–Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel Cells
title_fullStr Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)–Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel Cells
title_full_unstemmed Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)–Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel Cells
title_short Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)–Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel Cells
title_sort prediction of performance variation caused by manufacturing tolerances and defects in gas diffusion electrodes of phosphoric acid pa doped polybenzimidazole pbi based high temperature proton exchange membrane fuel cells
topic phosphoric acid (pa)-doped polybenzimidazole (pbi)-based proton exchange membranes
high-temperature proton exchange membrane fuel cells (ht-pemfc)
prediction of performance variation caused by manufacturing tolerances and defects
mathematical model
six-sigma product specification
url https://www.mdpi.com/1996-1073/13/6/1345
work_keys_str_mv AT vladimirgurau predictionofperformancevariationcausedbymanufacturingtolerancesanddefectsingasdiffusionelectrodesofphosphoricacidpadopedpolybenzimidazolepbibasedhightemperatureprotonexchangemembranefuelcells
AT emorysdecastro predictionofperformancevariationcausedbymanufacturingtolerancesanddefectsingasdiffusionelectrodesofphosphoricacidpadopedpolybenzimidazolepbibasedhightemperatureprotonexchangemembranefuelcells