Fuel Cell Library 1.4 coming in December

Robust city gas reformer and reactions, longitudinal cell material heat conduction, atom conservation checker and new visualizer models

Arriving in December 2016, Fuel Cell Library 1.4 contains several new features that have been developed in collaboration with a branch-leading fuel cell company. The new and enhanced components make the modeling and simulation workflow more efficient and contain features that help the user to analyze their fuel cell system.

New features

  • City gas reformer and reaction model

1.4 has support for numerically robust and efficient reaction modeling of city gas. With this functionality it is possible to model reactions of heavier hydrocarbon such as Ethane (C2H6), Propane (C3H8) n-Butane (nC4H10) and isobutane (iC4H10). This makes it possible to accurately simulate reforming processes where the fuel contains heavier hydro carbons.

Figure 1 City gas reformer test bench with control of steam carbon ratio, the result (right) show molar composition of heaver hydrocarbons as a function of temperature.

  • Visualizers, sensors and parameter dialogs

Fuel Cell Library 1.4 is more user-friendly and intuitive, which makes it easier to get started. Parameter interface, examples and documentation have seen a major upgrade, including a new user’s guide on how to set up robust and efficient models.

With the new visualizers you can quickly get an overview of the system states including flow, pressure, temperature and composition. 

Figure 2 PEMFC system with pre-reforming of diesel. With the new graphical visualizers, it’s easier to get an overview of the system states, which makes it particularly useful for larger system models.

  • Mass and atom conservation checker

Mass and atom balances can easily be verified with the new mass and atom checkers. This is especially useful when experimenting with various solvers, tolerance and model simplification for real-time applications, because a small amount of fuel loss connected to mass conservation equation can result in a significant change of energy in the system.

  • Cell heat conduction along the flow direction

When activated, this option can, at large temperature gradients and low flow rate, increase the accuracy of the stack temperature distribution, which affects the composition of the flow.


Reaction channel template with integrated dynamic wall that can be used as a base component to model complex customized heat interactions

  • Improved robustness of dynamic reaction models
  • Reference temperature independent Gibbs energy calculation
  • Improved library package structure and model documentation
  • Examples include now visualizers and summary records for easy access to key variables.

Interested in more details? Drop me a line to hear more.

Johan Windahl has ten years of industry experience with model based development. He holds an MSc in Engineering Physics from Lund University. At Modelon he is  leading the development of Modelon's Thermal PowerHydro Power, Fuel Cell and Electric Power Libraries.


by Johan Windahl