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 of complex hybrid energy systems
Development of in-house software
Mapping and networking of different components
Identification of optimization potential
Development of in-house software
Mapping and networking of different components
Identification of optimization potential
Optimization
Identification of technological and economic contradictions
Identification of alternative options
Multi-target optimization
Use of methods from evolutionary biology
Identification of alternative options
Multi-target optimization
Use of methods from evolutionary biology
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
Robustness analyses
Test of technical solution proposals in different scenarios
Measurements and validations
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
Examples: Smart grids, energy cooperatives or distributed industrial companies
Optimization using Machine Learning Algorithms
