E-mobility and the Energy System



Fluctuating renewable energy poses new challenges for future climate-neutral mobility:

  • How can the energy and transport sectors benefit from each other?
  • How can security of supply be guaranteed for both energy needs and mobility?
  • What local, regional, and national energy supply and mobility concepts are economically viable?
Using computer-aided simulations, we compare and optimize a wide range of energy system solutions and environmental scenarios in this research area. These provide a good basis for identifying the best system design for individual applications.


Modeling and simulation

Modeling and simulation

Modeling and simulation of complex hybrid energy systems

Development of in-house software

Mapping and networking of different components

Identification of optimization potential

Optimization

Optimization

Identification of technological and economic contradictions

Identification of alternative options

Multi-target optimization

Use of methods from evolutionary biology

Robustness and risk analyses

Robustness and risk analyses

Analysis of economic and ecological risks in energy system transformation projects

Robustness analyses

Test of technical solution proposals in different scenarios

Measurements and validations

Blockchain

Blockchain

Development of open-source blockchain solutions for decentralized power markets

Examples: Smart grids, energy cooperatives or distributed industrial companies

Optimization using Machine Learning Algorithms

Sample projects