Flow Field Patterns for Proton Exchange Membrane Fuel Cells

被引:119
作者
Sauermoser, Marco [1 ]
Kizilova, Natalya [1 ,2 ,3 ]
Pollet, Bruno G. [4 ]
Kjelstrup, Signe [1 ]
机构
[1] Norwegian Univ Sci & Technol NTNU, PoreLab, Dept Chem, Fac Nat Sci, Trondheim, Norway
[2] Warsaw Univ Technol, Inst Aviat & Appl Mech, Warsaw, Poland
[3] Kharkov Natl Univ, Dept Appl Math, Kharkiv, Ukraine
[4] Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, Fac Engn, Trondheim, Norway
关键词
PEMFC; flow field designs; geometric optimization; bio-inspired design; fractal trees; Murray's law; GAS-DIFFUSION LAYER; BIPOLAR PLATES; NUMERICAL-ANALYSIS; WATER MANAGEMENT; CHANNEL GEOMETRY; PERFORMANCE IMPROVEMENT; 3-DIMENSIONAL MODEL; TRANSPORT PHENOMENA; SINGLE-SERPENTINE; LAND WIDTH;
D O I
10.3389/fenrg.2020.00013
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Flow field designs for the bipolar plates of the proton exchange membrane fuel cell are reviewed; including the serpentine, parallel, interdigitated, mesh type or their mixtures, furthermore 2D circular and 3D tubular geometries, porous, fractal, and biomimetic flow fields. The advantages/disadvantages and tendencies from field optimizations are discussed. The performance of each flow field design is compared to the conventional serpentine flow field. Good flow field plates give uniform gas distributions, low pressure drop for transport, and sufficient rib area to provide high electronic conductivity. A good field should also prevent water condensation, remove water efficiently, and provide sufficiently high moisture content in the membrane. The demands on design are sometimes contradictory. Future work should aim for a flow field geometry and topology that produces uniform gas delivery at a low pressure-drop, and at the same time has an optimal channel shape for better water removal. It is concluded that for an area-filling gas distributor, the developments should aim to find a flow field in accordance with minimum entropy production, making an emphasis on multi-criteria optimization methods.
引用
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页数:20
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