Applied Energy, Journal Year: 2024, Volume and Issue: 365, P. 123236 - 123236
Published: April 17, 2024
Language: Английский
Chemical Reviews, Journal Year: 2022, Volume and Issue: 123(3), P. 989 - 1039
Published: Dec. 29, 2022
Porous flow fields distribute fuel and oxygen for the electrochemical reactions of proton exchange membrane (PEM) cells through their pore network instead conventional channels. This type has showed great promises in enhancing reactant supply, heat removal, electrical conduction, reducing concentration performance loss improving operational stability cells. review presents research development progress porous with insights next-generation PEM high power density (e.g., ∼9.0 kW L–1). Materials, fabrication methods, fundamentals, cell associated are discussed depth. Major challenges described explained, along several future directions, including separated gas/liquid configurations, integrated structure, full morphology modeling, data-driven artificial intelligence-assisted design/optimization.
Language: Английский
Citations
130
Energy & Environmental Science, Journal Year: 2023, Volume and Issue: 16(4), P. 1466 - 1479
Published: Jan. 1, 2023
In-depth discussions on the motivation and latest advancements for designing ultralow platinum loading PEMFCs, along with important technical routes development procedures.
Language: Английский
Citations
118
Energy and AI, Journal Year: 2023, Volume and Issue: 12, P. 100237 - 100237
Published: Feb. 4, 2023
In fuel cells, chemical energy is directly converted into heat and electricity without any emissions which makes them an attractive substitute for various needs. Fuel cells have high conversion ratio high-power densities make suitable automotive applications. However, these cell systems suffer with low reliability durability as system components develop faults during operation resulting in degradation diminished performance. this context, fault detection mitigation strategies are being extensively developed. Diagnostic approaches like electrochemical impedance spectroscopy, cyclic voltammetry, galvanostatic analysis offer a truthful representation of the State Health (SOH) cell. intrusive require pausing effecting its integrity. Machine learning based SOH estimation non-intrusive approach where mapping function established between indicators SOH. The can be correlated to patterns sensor signals or indicators. Indicators that influence voltages, current density distribution, spectra, acoustic emission magnetic fields. Developing accurate state technique through data driven machine will allow corrective measures avoid irreversible improve cells.
Language: Английский
Citations
42
Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 252, P. 123746 - 123746
Published: June 19, 2024
Language: Английский
Citations
24
Chemical Society Reviews, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
This review explores machine learning's impact on designing electrocatalysts for hydrogen energy, detailing how it transcends traditional methods by utilizing experimental and computational data to enhance electrocatalyst efficiency discovery.
Language: Английский
Citations
20
International Journal of Hydrogen Energy, Journal Year: 2022, Volume and Issue: 47(94), P. 39943 - 39960
Published: Oct. 12, 2022
Language: Английский
Citations
52
eTransportation, Journal Year: 2023, Volume and Issue: 16, P. 100230 - 100230
Published: Jan. 31, 2023
Language: Английский
Citations
42
Desalination, Journal Year: 2023, Volume and Issue: 567, P. 116992 - 116992
Published: Sept. 16, 2023
Language: Английский
Citations
40
Advanced Sustainable Systems, Journal Year: 2023, Volume and Issue: 7(10)
Published: July 20, 2023
Abstract With increasing energy demands and environmental issues, renewable energy‐related conversion systems have gained significant attention as a potential substitute for traditional fossil fuel‐based technologies. First introduced by S.W.Grove in 1838, fuel cells been extensively developed into many different types, direct alcohol (DAFCs) are of interest power source because their large density, quick start, simplicity, nearly zero emission. However, the high cost poor catalytic efficiency current catalysts primary barriers to commercializing DAFCs. Designing advanced nanocatalysts both anode cathode electrodes is crucial importance practical DAFC development; however, brief evaluation progress electrocatalyst development oxidation reaction (AOR) oxygen reduction (ORR) still very little. Herein, recent advances cell catalysts, mainly focusing on several most active areas (i.e., Pt‐ Pt‐free‐based metal‐free carbon, carbon‐based nonprecious metal composites) concisely summarized. Also, challenges prospects DAFCs highlighted supply comprehensive view further designing high‐performance catalysts.
Language: Английский
Citations
31
Advanced Science, Journal Year: 2023, Volume and Issue: 10(30)
Published: Aug. 31, 2023
Hydrogen energy as the next-generation clean carrier has attracted attention of both academic and industrial fields. A key limit in current stage is operation temperature hydrogen fuel cells, which lies slow development high-temperature high-efficiency proton exchange membranes. Currently, much research effort been devoted to this field, very innovative material systems have developed. The authors think it right time make a short summary membranes (HT-PEMs), fundamentals, developments, can help researchers clearly efficiently gain information. In paper, materials optimization strategies, degradation mechanism possible solutions, most common morphology characterization techniques well correlations between overall properties systematically summarized.
Language: Английский
Citations
29