The Fuel Cell & Electrolyzer Module Physics Interfaces
Figure 3 below shows the Fuel Cell & Electrolyzer Module interfaces, in the Electrochemistry branch, as displayed in the Model Wizard for a 3D model.
Figure 3: The 3D physics interfaces for the Fuel Cell & Electrolyzer Module, as shown in the Model Wizard, with the Electrochemistry branch fully expanded.
The Electrochemistry () interfaces are based on the conservation of current, charge, chemical species, and energy. The Hydrogen Fuel Cell () interfaces and Water Electrolyzer () interfaces are tailor-made interfaces for these cell types. These interfaces combine electrolyte and electrode charge transport with charge transfer reactions, and, optionally, gas phase mass transport and momentum transport by Darcy’s law. Alternatively, the fluid flow in the gas channels and in the GDEs can be modeled by any of the Fluid Flow interfaces — such as Laminar Flow (), Free and Porous Media Flow, Brinkman () and coupled to the hydrogen fuel cell or water electrolyzer interface.
For other types of fuel cells and electrolyzers (for instance a chlorine electrolyzer), the current transport by ions in the bulk electrolyte and in the pore electrolyte, the current transport by electrons, and the charge transfer reactions may be defined by the generic Primary Current Distribution (), Secondary Current Distribution (), and the Tertiary Current Distribution, Nernst–Planck () interfaces. The Primary Current Distribution interface neglects the variations in composition in the electrolyte and the activation losses for the charge transfer reactions. It should typically be used for electrolytes with fixed charge carriers or well-mixed electrolytes, and in the cases where the activation losses are substantially smaller than the conductivity losses. In the Secondary Current Distribution interface, the variations in composition in the electrolyte are also neglected, while the activation losses for the charge transfer reactions are taken into account. In the Tertiary Current Distribution, Nernst-Planck interface, also the contribution of diffusion to the transport of ions, and thus the bulk electrolyte contribution to the current in the electrolyte, is taken into account.
The Concentrated Electrolyte Transport interface () is a generic interface for defining electrolyte transport. The electrolyte transport model is based on concentrated solution theory and can be applied to any type of electrochemical cell for an arbitrary number of electrolyte species. In contrast to the Tertiary Current Distribution, Nernst-Planck interfaces, the Concentrated Electrolyte Transport interface does not assume the presence of a neutral solvent, or a supporting electrolyte, of constant concentration. The interface may for instance be used to model the electrolyte transport of a molten carbonate fuel cell or electrolyzer cell.
When modeling charge transport with a generic current distribution interface, the transport of gaseous species and other mass transport phenomena can be modeled using any of the Chemical Species Transport interfaces (), which all have nodes that couple the transport in the gas phase to the electrochemical reactions. The Chemical Species Transport interfaces are also coupled to the Fluid Flow interfaces () through the gas density, which is influenced by the gas composition. A convenient way of coupling chemical species transport to fluid flow is by using one of the Reacting Flow interfaces (Reacting Flow () or Reacting Flow in Porous Media ()), which contain predefined multiphysics couplings.
The Heat Transfer interfaces () handle the effects of Joule heating in the bulk electrolyte, in the pore electrolyte, and in the electrodes. They include the contribution to the thermal balance from the electrochemical reactions due to the activation overpotential and the net change of entropy.
The Electrode, Shell interface () models electric current conduction in the tangential direction on a boundary. The physics interface is suitable to use for thin electrodes where the potential variation in the normal direction to the electrode is negligible. This assumption allows for the thin electrode domain to be replaced by a partial differential equation on the boundary. In this way the problem size can be reduced, and potential problems with mesh anisotropy in the thin layer can be avoided.
Physics Interface Guide by Space Dimension and Study Type
The table lists the physics interfaces available in the Fuel Cell & Electrolyzer Module in addition to those included with the COMSOL basic license.
Chemical Species Transport
Reacting Flow
Reacting Flow in Porous Media
Nonisothermal Reacting Flow
Electrochemistry
Fluid Flow
Multiphase Flow
Bubbly Flow
Mixture Model
Euler–Euler Model
Phase Transport Mixture Model
Phase Transport
Porous Media and Subsurface Flow
Nonisothermal Flow
Heat Transfer
Tutorial of a Fuel Cell Cathode
One of the important aspects of fuel cell modeling is the mass transport through the gas diffusion and reactive layers. Gas concentration gradients may often be quite large and are strongly coupled to the reactions that take place.
Figure 4 shows an example 3D geometry of a cathode from a fuel cell with perforated current collectors. This geometry configuration can be used for self-breathing cathodes or in small experimental cells. Due to the perforation layout, a 3D model is needed in the study of the mass transport, current, and reaction distributions.
Figure 4: A fuel cell cathode with a perforated current collector.
The model couples this mass transport to a concentration-dependent Butler–Volmer electrochemical kinetic expression in a porous gas diffusion electrode (the cathode). Darcy’s law is used to define the convective velocity in the porous gas diffusion electrode, whereas diffusion is modeled using the Maxwell–Stefan equations. A note here is that the molar fractions of the reactants and products (that is, oxygen and water vapor) are typically large (>10%), which makes Fickian diffusion an inappropriate assumption for modeling the diffusive mass transport.
The electrochemical reaction for a PEM fuel cell to produce electrical energy is given by:
where denotes the standard equilibrium potential of the cell reaction, assuming all reactants reacting in the gas phase at atmospheric pressure.
At the anode Hydrogen Oxidation Reaction (HOR) yield protons:
whereas on the cathode, water is produced via Oxygen Reduction Reaction (ORR):
Model Definition
Figure 5 shows details for a unit cell, cut out from Figure 4. (In this case, the combination of a circular orifice and square unit cell eliminates the possibility to approximate the geometry with a rotationally symmetric model.) The circular hole in the collector acts as an inlet where the gas enters the modeling domain, and at this boundary the gas mixture composition and pressure is known. The upper and lower rectangular domains are the reaction-zone gas diffusion electrodes. They consist of a three-phase porous structure that contains the feed-gas mixture, an electronically conducting material covered with an electrocatalyst, and an ionically conducting electrolyte.
The middle domain corresponds to a solid electrolyte membrane, ionically interconnecting the two electrodes of the fuel cell. No reaction takes place in this domain and the current is conducted ionically. In addition, there are no pores present to allow gas to flow, nor any material present for electronic current conduction.
The gas diffusion electrodes are 0.075 mm thick, as is the electrolyte layer. The unit cell is 1.5-by-1.5 mm in surface, and the gas inlet hole has a radius of 1.0 mm.
Figure 5: The modeled fuel cell unit cell. The quarter circle part of the top boundary is the surface of the cathode that is open to the feed gas inlet, while the rest of the top surface sits flush against a metal current collector. In the unit cell, the top domain is the porous cathode, the middle domain is the membrane, and the bottom domain is the porous anode.
The Hydrogen Fuel Cell interface models the electronic and ionic current balances and solves for the potentials ϕs and ϕl in the electrode and electrolyte phases, respectively. The anode side of the cell is grounded, whereas the current collector boundary at the cathode is set to a cell potential value.
The species (mass) transport is modeled by the Maxwell–Stefan equations for the mass fractions of oxygen, water, and nitrogen in the O2 gas phase. Mass transport is solved for in the cathode gas diffusion electrode domain only. Similarly, the pressure and the resulting velocity vector is solved for in the cathode gas diffusion electrode domain only using Darcy’s Law. (No mass transport effects are expected to occur at the hydrogen anode side). As boundary conditions, inlet molar fractions are set for the three gas species corresponding to a humidified air mixture at 90% relative humidity at atmospheric pressure.
The cell operates at 70°C. The reference equilibrium potentials for the higher temperature — the reference state — for each reaction are calculated from the standard free energies of formation and reaction entropies according to
where T denotes the temperature, n the number of electrons participating in the electrode reaction, and F Faraday’s constant.
Generally, the equilibrium potentials of the electrode reactions will depend on the local partial pressures of the reacting species according the Nernst Equation:
where νi are the stoichiometric coefficients of the reacting species.
The cathode electrode kinetics of the cathode are defined using a Butler-Volmer type of expression according to
where pi is the partial pressure of the reacting species, pref = 1 atm is the reference pressure and ηref, the overpotential with respect to the reference state, is defined as
.
The local current density expression in the cathode is multiplied by a specific area of 109 m2/m3 to create a volumetric current source term in the electrode domain. Assuming ideal kinetics according to the mass action law, αa,O2 + αc,O2 = n.
For the anode, the kinetics is assumed to be so fast that a linearized Butler-Volmer expression may be used on the anode boundary.
assuming αa,H2 + αc,H2 = n and where, since the anode boundary is grounded, the overpotential is defined as
.
The partial pressure of hydrogen is assumed to be constant on the anode boundary. No mass transport effects nor any current distribution along the depth of the anode electrode are hence considered.
In the first part of the model instruction below, a secondary (not concentration dependent) current distribution is modeled. In the second part, mass, and momentum transport is incorporated in the O2 gas phase mixture (cathode domain), using Maxwell–Stefan diffusion and Darcy’s Law, respectively. In both parts of the tutorial, the model is solved for a range of cell potential values (0.5 V to 1 V in steps of 0.1 V) by the use of an auxiliary sweep in the stationary solver.
Results and Discussion
Figure 6: Polarization plot.
Figure 6 shows the polarization plot for the two scenarios investigated: limited and unlimited O2 gas phase transport. It can be seen that higher average cell current densities are achieved for the unlimited O2 gas phase transport scenario (that is, when no mass and momentum transport limitations are present).
Note that the plots and discussion in the rest of this section correspond to the limited O2 gas phase transport scenario, where diffusion and flow (in the cathode domain) have been considered, coupled to charge transport and the electrochemical reactions.
Figure 7: Mole fraction of oxygen at cell voltage of 0.7 V.
Figure 7 shows the oxygen mole fraction at cell voltage of 0.7 V. The figure shows that mole fraction variations are small along the thickness of the cathode, while they are substantially larger along the electrode’s width.
Figure 8: Pressure and velocity for the gas phase in the cathode’s porous reactive layer at cell voltage of 0.7 V.
Figure 8 shows the pressure and gas velocity streamlines in the porous cathode at the same cell voltage. There is a significant velocity peak at the edge of the inlet orifice. This is caused by the contributions of the reactive layer underneath the current collector because in this region the convective flux dominates the mass transport. The gas flows from the interior of the cell toward the circular hole. The reason for this is the oxygen reduction reaction, with the creation of two water gas molecules, being transported out of the cell, per oxygen molecule entering the cell.
The electrochemical reaction rate, represented by the local current density, is related to both the local overpotential and oxygen concentration in the cathode domain. Figure 9 depicts the local overpotential (at cell voltage of 0.7 V), which gets more negative toward the electrolyte domain.
Figure 9: Local overpotential in the cathode reactive layer at cell voltage of 0.7 V.
The combination of the overpotential and oxygen concentration distributions will result in a highly uneven reaction rate in the reactive layer. One way to study the distribution of the reaction rate is to plot the ionic current density at the bottom boundary of the membrane layer. Figure 10 shows such a plot at cell voltage of 0.7 V.
The current-density distribution shows that the variations are rather large. The reaction rate and the current production are higher beneath the orifice and decrease as the distance to the gas inlet increases. This means that the mass transport of reactant dictates the electrode’s efficiency for this design at these particular conditions.
Figure 10: Current density perpendicular to the lower membrane boundary at cell voltage of 0.7 V.
Figure 11 shows a plot of the cell-integrated power losses associated with the different processes in the cell. For this cell, the power losses due to kinetic activation of the oxygen reduction reaction dominate the losses, followed by the electrolyte transport losses.
By dividing the loss in power by the cell current, we can also compute the corresponding cell overpotentials, as shown in Figure 12. The oxygen reduction overpotential is highly nonlinear with respect to the cell current density. This stems from the Butler-Volmer kinetics deployed in the model. The electrolyte transport overpotential has a more linear behavior with respect to the cell current density.
Figure 11: Cell-integrated power losses.
Figure 12: Cell overpotentials.
The following instructions show how to formulate, solve, and reproduce this model.