Institute of Energy Technologies (IET)
The Institute of Energy Technologies (IET) develops sustainable energy technologies from the laboratory scale to the mini-plant level (lab-to-fab) and demonstrates these technologies in different real-life laboratory environments. The knowledge gained can then be used to create robust digital twins.
At the Fundamental Electrochemistry (IET-1) subinstitute, we are developing new key technologies in the field of electrochemical energy storage and conversion to advance the energy transition and structural change in the Rhenish mining area.
The Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (HI ERN/IET-2) researches and develops material- and process-based solutions for a climate-neutral, sustainable, and cost-effective utilization of renewable energy. The institute focuses on the investigation of materials relevant to hydrogen and solar technology. Its common goal is to understand the structure–performance–process relationship on the mesoscale.
With its focus on theory and computer-assisted modelling, the subinstitute Theory and Computation of Energy Materials (IET-3) makes essential contributions to our fundamental understanding of electrochemical phenomena, the development of tailor-made material solutions, and the optimization of sustainable energy technologies. The methods used range from quantum mechanical simulations to physical–mathematical continuum approaches.
The Electrochemical Process Engineering (IET-4) subinstitute focuses on pioneering innovations for electrochemical conversion systems for the direct production of hydrogen, syngas, and electricity using electrolysis and fuel cells, in addition to safety analyses for the use of hydrogen. It conducts research into efficient and environmentally friendly ways of producing hydrogen and liquid energy carriers as fuels and basic chemicals.
IET has a globally unique range of methods for experimental characterization in the field of electrochemical energy conversion and storage. In particular, the institute develops and uses innovative in situ/operando characterization methods and high-throughput analytics. This experimental approach is consistently combined with multi-scale modelling and simulation, as well as AI-based data science. IET decodes multiparametric and cross-scale correlations between material properties and performance or service life indicators, thus enabling the model-based diagnosis and optimization of electrochemical technologies.
Managing Director
- Institute of Energy Technologies (IET)
Room OG3
Website ot the Institute
Institute of Energy Technologies (IET)
