Evidence map›Paper›PMID 39339375›Full record

ArticleMolecules (Basel, Switzerland)2024

Reliability-Based Design Optimization for Polymer Electrolyte Membrane Fuel Cells: Tackling Dimensional Uncertainties in Manufacturing and Their Effects on Costs of Cathode Gas Diffusion Layer and Bipolar Plates.

Neil Vaz, Kisung Lim, Jaeyoo Choi, Hyunchul Ju

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Neil VazDepartment of Mechanical Engineering & BK21 FOUR Education and Research Team for Overcoming Mechanical Challenges in Carbon Neutrality, Inha University, 100 Inha-ro Michuhol-Gu, Incheon 22212, Republic of Korea.
Kisung LimDepartment of Mechanical Engineering & BK21 FOUR Education and Research Team for Overcoming Mechanical Challenges in Carbon Neutrality, Inha University, 100 Inha-ro Michuhol-Gu, Incheon 22212, Republic of Korea.
Jaeyoo ChoiDepartment of Mechanical Engineering & BK21 FOUR Education and Research Team for Overcoming Mechanical Challenges in Carbon Neutrality, Inha University, 100 Inha-ro Michuhol-Gu, Incheon 22212, Republic of Korea.
Hyunchul JuDepartment of Mechanical Engineering & BK21 FOUR Education and Research Team for Overcoming Mechanical Challenges in Carbon Neutrality, Inha University, 100 Inha-ro Michuhol-Gu, Incheon 22212, Republic of Korea.

Funding

Technology Innovation Program of the Korea Evaluation Institute of Industrial Technology (KEIT) under the Ministry of Trade, Industry and Energy (MOTIE) of Republic of Korea 20012121
6 · The paper itself

Abstract

Polymer Electrolyte Membrane Fuel Cells (PEMFCs) have emerged as a pivotal technology in the automotive industry, significantly contributing to the reduction of greenhouse gas emissions. However, the high material costs of the gas diffusion layer (GDL) and bipolar plate (BP) create a barrier for large scale commercial application. This study aims to address this challenge by optimizing the material and design of the cathode, GDL and BP. While deterministic design optimization (DDO) methods have been extensively studied, they often fall short when manufacturing uncertainties are introduced. This issue is addressed by introducing reliability-based design optimization (RBDO) to optimize four key PEMFC design variables, i.e., gas diffusion layer thickness, channel depth, channel width and land width. The objective is to maximize cell voltage considering the material cost of the cathode gas diffusion layer and cathode bipolar plate as reliability constraints. The results of the DDO show an increment in cell voltage of 31 mV, with a reliability of around 50% in material cost for both the cathode GDL and cathode BP. In contrast, the RBDO method provides a reliability of 95% for both components. Additionally, under a high level of uncertainty, the RBDO approach reduces the material cost of the cathode GDL by up to 12.25 $/stack, while the material cost for the cathode BP increases by up to 11.18 $/stack Under lower levels of manufacturing uncertainties, the RBDO method predicts a reduction in the material cost of the cathode GDL by up to 4.09 $/stack, with an increase in the material cost for the cathode BP by up to 6.71 $/stack, while maintaining a reliability of 95% for both components. These results demonstrate the effectiveness of the RBDO approach in achieving a reliable design under varying levels of manufacturing uncertainties.

Indexed as

deterministic design optimizationdimensional tolerancedimensional uncertaintiesdynamic Kriging surrogateMonte Carlo simulationmulti-layer perceptronparticle-swarm optimizationpolymer electrolyte fuel cellreliability-based design optimization

Identifiers

PMID39339375
PMCPMC11433716

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