.FuelCellLib.Layer1D.dif_layer

Information

dif_Layer-Layer1D




This class represents the method of finite volumes to solve the one dimensional problem of the layer. Also in this class all parameter of transport phenomena and control volume of diffusion layer are defined. One of these parameters, "n" is the number of finite volumes of the layer. The simulation can become too slowed if the parameter "n" is very high. The selection of the variable modeling hypothesis is defined by the parameter:
"ModHyp2":Knudsen diffusion pore size dependence(0:Off,1:On)

Parameters

Name Default Description
T 340 Operation temperature of diffusion layer [K]
av 1e-9 Specific condensation surface [m2/m3]
b 0.001 Material transfer coeficient [m/s]
Es 0.7 Volumetric fraction of solid
da 1e-5 Thickness of transport phenomena [m]
tau 1 Tortuosity
Dwl 3.5e-9 Surface diffusion coefficient of H2O, liquid phase [m2/s]
ks 1e4 Electrical conducivity of the solid [S/m]
kp 20 Constant protonic conducivity of the electrolyte [S/m]
posat 3169 Reference Saturation pressure [Pa]
Tosat 298.16 Reference Saturation temperature [K]
ros 4000 Density of the solid [kg/m3]
roh2ol 972 Density of water [kg/m3]
poa 100000 Reference pressure for the current limit [Pa]
D1co 0.07853e-4 Constant Knudsen diffusion coefficient for oxygen [m2/s]
D2co 0.1047e-4 Constant Knudsen diffusion coefficient for steam water [m2/s]
rp 1e-10 Pore size of porous media [m]
D12o 0.282e-4 Constant binary diffusion coefficient [m2/s]
pAref 100000 Reference pressure to measure the binary diffusion coefficient [Pa]
Tref 308.1 Reference temperature to measure the binary diffusion coefficient [K]
ModHyp2 0 Knudsen diffusion pore size dependence(0:Off,1:On)
n 20 Number of finite elements for diffusion layer


References


Modelica Association, Modelica-A Unified Object-Oriented Languaje for Physical System Modeling, Tutorial. http://www.modelica.org/.

A.Urquia, S.Dormido, Mathematical and Computer Modelling of Dynamical Systems, vol.9, n?1, pp.65-90, (2002).

K.J.Astrom, H.Elmqvist, S.E.Mattsson, Evolution of continous-time modeling and simulation, The 12th ESM?98, (1998).

M.Ceraolo, C.Miulli, A.Pozio, Modeling static and dynamic behaviour of PEMFC on the basis of electro-chemical description, J. Power Sources 113 (2003).

A.Kumar, R.Reddy, Effect of channel dimensions and shapes in the flow-field distributor on performance of PEMFC, J. Power Sources 113 (2003).

W.D.Steinmann, P.Treffinger, Simulation of Fuel Cell Powered Drive Trains, Modelica WorkShop 2000 Procedings.

D.Bevers, M.W?hr, K.Yasuda, K.Oguro, Simulation of polymer electrolyte fuel cell electrode.J.Appl. Electrochem.27 (1997).

K.Broka, P.Ekdunge, Modelling the PEM fuel cell cathode, J.Appl. Electrochem.27 (1997).

J.Larminie, A.Dicks, Fuel Cell Systems Explained, Wiley 2000.

A.A.Kulikovsky, Fuel Cells 2001,1(2).

V.Gurau, H.Liu, S.Kakac,AIChE J.2000 46(10).

D.M.Bernardi, M.W.Verbrugge, J. electrochem. Soc. 139,9 (1992).

T.E.Springer, T.A.Zawodzinsky, J.Electrochem.Soc. 138 (1991).

S.Dutta, S.Shimpalee, J.Appl.Electrochem. (2000), 30(2).

D.B.Genevey, Thesis, F.V.P.I. (2001).

J. Larminie, A.Dicks, Fuel Cell System Explained, Wiley (2000).


Generated at 2026-04-08T18:18:28Z by OpenModelicaOpenModelica 1.26.3 using GenerateDoc.mos