When using renewable energy sources, the moment of electricity generation is usually not identical with the moment of energy demand. Regardless of whether solar, hydroelectric or wind energy is used, the main challenge is to store the electrical energy generated challenge is the efficient intermediate storage of the generated electrical energy.
According to the current state of the art, this is mainly achieved by storing the electrical energy in the form of chemical energy. In addition to the battery, conversion by electrolysis and storage in the form of hydrogen plays a pioneering role here. The energy stored energy can then be released again in a fuel cell. In addition to hydrogen, other fuels such as methanol or natural gas can be used.
Whether it is an electrolyzer for hydrogen production, a polymer electrolyte fuel cell (PEMFC) or a solid oxide fuel cell (SOFC), each system places enormous demands on the properties of the materials used. demands on the properties of the materials used. Moreover, in many areas, next-generation functional materials still have to be have yet to be developed. The microstructure of the materials is crucial: whether for separators, gas diffusion layers or electrodes, the microstructure plays a decisive role in determining the efficiency, performance and service life of the system components.
With the scientific software GeoDict - The Digital Materials Laboratory you digitize your materials research and development and rely on the customized solutions of Math2Market GmbH: Use the digital technology of the next generation for the development of materials of the next generation materials today!
The result: Efficient and safe electrolysis and fuel cells for energy storage and mobility!
GeoDict® for fuel cell research
- Save time, resources and costs with GeoDct simulations compared to purely experimental approaches.
- Digitally develop, test and improve the energy materials of the future using GeoDict simulations.
GeoDict software creates realistic 3D models of the microstructure of materials used in electrolyzers (separators) and fuel cells (PEM, GDL, MPL, CL, electrodes) are digitally generated. The critical material properties of these models are then characterized.
The goal of the simulation is to optimize each material according to its requirements and to improve the performance of the energy materials.
The GeoDict software is part of cutting-edge fuel cell research funded under Horizon 2020 (EU funding for research and Innovation) and is carried out by leading academic and industrial institutions.
Simulate and calculate various parameters to improve and design fuel cell materials:.
- Geometric parameters: Porosity, pore size distribution, surface area, length of contact lines, geodesic tortuosity.
- Conduction parameters: Thermal conductivity, thermal flux, temperature distribution, electrical conductivity, electrical flux, electrostatic potential distribution.
- Saturation parameters: Saturation exponent, capillary pressure curve, variable contact angles.
- Diffusion and flow parameters: Permeability, diffusivity, Gurley value, particle advection and diffusion, particle concentration.
GeoDict simulations address key issues in fuel cell materials research and the resulting two-phase fluid flow properties.
Functionality of a PEM fuel cell
Determination of geometric properties with GeoDict
Determination of the mechanical properties with GeoDict
Determination of the transport properties with GeoDict
Determination of the saturation properties with GeoDict
Microstructure of a PEM fuel cell generated with GeoDict
Microstructure of a MPL
Identifying the binder in a 3D gray scale image of a GDL with FiberFind-AI
The GeoDict® modules for fuel cell research
With the GeoDict Base Package for basic functionality, the following GeoDict modules form a package for fuel cell research that has been compiled for the simulation of electrochemical processes. It includes modules for image processing and analysis and material modeling modules to import and design 3D models, as well as the material properties modules to characterize and predict material properties.
|Image Processing and Image Analysis||ImportGeo-Vol|
|Material Analysis||GrainFind - AI||FiberFind - AI||PoroDict + MatDict|
* suitable modules depend on the concrete application.