Model Assumptions and Engineering Approaches
While electrochemical simulations can account for the most detailed first-principle physics, most engineering problems can be diagnosed successfully based on simplified setups.

Current Distribution Methodology
Electrochemical engineers and scientists categorize simulations according to the current distribution concept. The three main aspects here lie in the consideration or neglect of:
- electrical transport losses due to resistance in the electrolyte solution or in metal phases
- activation overpotentials
- concentration dependent reaction rates and overpotentials
- Primary Current Distribution
- Primary current distribution setups account solely for electrical transport losses due to resistance (1.), but (2.) and (3.) are neglected. These simulations refrain from solving species concentrations and only need to resolve electric potentials. When temperatures are fixed as well, only one partial differential equation (PDE) is solved for the electric potential, thus reducing the computational effort significantly. Also, the computation is sped-up due to the absence of coupling effects between electric potentials and species concentrations. In Simcenter STAR-CCM+, such setups are approximated using only the Electrodynamic Potential model in conjunction with the Electrochemical Reactions model—where maximum specific exchange currents are applied to minimize activation overpotentials.
- Secondary Current Distribution
- Secondary current distribution setups build on the foundation of primary current distribution, but additionally account for activation overpotentials (2.). With the same Simcenter STAR-CCM+ model set as primary current distribution setups, but with more realistic parameters for the specific exchange currents, this treatment performs equally well with respect to computational expense, but delivers more realistic results and is therefore recommended.
- Tertiary Current Distribution
- The most detailed modelling is represented by tertiary current distribution modelling where reaction rates and overpotentials are concentration dependent. In this scenario, all of (1.) (2.) and (3.) are considered.
Primary | Secondary (recommended) | Tertiary | |
---|---|---|---|
Considerations |
Electrical Transport Losses |
Electrical Transport Losses Activation Overpotential |
Electrical Transport Losses Activation Overpotential Concentration Dependence |
Relevant Simcenter STAR-CCM+ Models |
Electrodynamic Potential Model Electrochemical Reactions* |
Electrodynamic Potential Model Electrochemical Reactions |
Electrodynamic Potential Model Electrochemical Reactions either:
|
Number of Partial Differential Equations Solved (isothermal) | 1 | 1 | 5 + number of species |
Accessible Solution Quantities |
Electric Potential Electrical Currents |
Electric Potential Electrical Currents Surface Overpotential |
Electric Potential Electrical Currents Surface Overpotential Molar Concentrations Velocity |
* When simulating an electrochemical interface, the Electrochemical Reactions model is required in order to model the difference in equilibrium potentials between the solid and the electrolyte.
The parameterization requirements are also considerable. Reactions need to be known and parameterized to account for their dependence on concentrations. Simple measurements like cyclic voltammetry will not suffice to parameterize the setup but detailed knowledge is required about the reaction mechanisms involved in the process, involving not only stoichiometries but also rate constants and exchange current densities for each single reaction.
Detailed parameterization of models provides superior results when reactant concentrations significantly influence the rate of reactions—which is usually the case when the reaction rate is not infinite, but time scales are equal or smaller than the ones of diffusion/convection, that is, when reactants cannot be fed fast enough to the reaction site, or products cannot be removed fast enough to sustain the reaction at unchanged rates. This is the case for many technical applications like fuel cells or batteries in critical load scenarios, or some wet-etching simulations where manufacturing speed is crucial for achieving low production costs.
Temperature Effects
Electrochemical reaction rates are clearly temperature dependent. Nevertheless, solving for temperature can be neglected for engineering problems occurring at constant temperature levels.
Consider, for example, the corrosion of a water pipeline that lies buried in permafrost ground. Temperature is controlled by heating elements, but when investigating corrosion rates, this temperature can be considered as fixed.
Other applications require solving for temperature. In oil processing pipelines, metals are subjected to both spatially and temporally varying temperatures. If electrochemical reaction rates are still low, for example, when considering unwanted corrosion effects, the electrochemical heating can still be neglected as it only contributes negligibly to the overall temperature.
Neglecting temperature effects has significant runtime impact when looking at primary and secondary current distribution setups, where only a single partial differential equation needs to be solved then. Solving for temperature in tertiary setups will represent an additional partial differential equation to the 5+n existing partial differential equations. Therefore, neglect of solving for temperature yields only minimal savings, and is not recommended in favor of accurate results.