Graphene nanosheets and palm-shell activated carbon in PEM fuel cell gas diffusion layers

Polymer Electrolyte Membrane (PEM) fuel cells represent a promising green energy technology that efficiently converts hydrogen and oxygen (or air) into clean electricity. In this study, graphene nanosheets (GNS) were explored as an advanced material for the gas diffusion layer (GDL) due to their exceptional electrical conductivity, thermal dissipation, water management capability, and catalytic activity. A series of GNS–AC composites was prepared and characterised to optimise GDL performance. The AC (3:2 indicates the impregnation ratios between the PKS carbon powder weight and activated agent) composite exhibited an electrical conductivity of 4.46 × 10⁻⁴ S/cm and a surface area of 26.643 m²/g, while pure GNS achieved superior properties with 4.20 × 10¹ S/cm conductivity and 486.283 m²/g surface area. The optimised hybrid composite containing 90% GNS and 10% AC (3:2) demonstrated the highest power output of 0.0013 W under hydrogen and air flow rates of 0.5 L/min and 1 L/min, respectively (denoted as 05H1A). The continuous adsorption of GNS–AC from the higher porosity, electric conductivity determined the power of the fuel cell. These results confirm that the 90%GNS + 10%AC (3:2) composite is a highly effective GDL material for PEM fuel cells, offering enhanced performance with optimised gas flow conditions.

Authors

Institutions

Publication Details

Journal
Carbon Trends
Published
2026-01-22
DOI
https://doi.org/10.1016/j.cartre.2026.100616
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Graphene nanosheets and palm-shell activated carbon in PEM fuel cell gas diffusion layers

Sutida Marthosa, Ekasit Anancharoenwong, Shahariar Chowdhury Shahariar Chowdhury, Montri Lungchavanon
Carbon Trends
Fuel Cells and Related Materials
article

Graphene nanosheets and palm-shell activated carbon in PEM fuel cell gas diffusion layers

Sutida Marthosa, Ekasit Anancharoenwong, Shahariar Chowdhury Shahariar Chowdhury, Montri Lungchavanon
article en

Abstract

Polymer Electrolyte Membrane (PEM) fuel cells represent a promising green energy technology that efficiently converts hydrogen and oxygen (or air) into clean electricity. In this study, graphene nanosheets (GNS) were explored as an advanced material for the gas diffusion layer (GDL) due to their exceptional electrical conductivity, thermal dissipation, water management capability, and catalytic activity. A series of GNS–AC composites was prepared and characterised to optimise GDL performance. The AC (3:2 indicates the impregnation ratios between the PKS carbon powder weight and activated agent) composite exhibited an electrical conductivity of 4.46 × 10⁻⁴ S/cm and a surface area of 26.643 m²/g, while pure GNS achieved superior properties with 4.20 × 10¹ S/cm conductivity and 486.283 m²/g surface area. The optimised hybrid composite containing 90% GNS and 10% AC (3:2) demonstrated the highest power output of 0.0013 W under hydrogen and air flow rates of 0.5 L/min and 1 L/min, respectively (denoted as 05H1A). The continuous adsorption of GNS–AC from the higher porosity, electric conductivity determined the power of the fuel cell. These results confirm that the 90%GNS + 10%AC (3:2) composite is a highly effective GDL material for PEM fuel cells, offering enhanced performance with optimised gas flow conditions.

Carbon TrendsVol. 23
Prince of Songkla University (TH), Suratthani Rajabhat University (TH)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Fuel Cells and Related Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.