Karlsruhe Institute of Technology (KIT)
The Institute for Information Systems (WIN) – Information & Market Engineering (IM)
The Chair of Information & Market Engineering (IM) at the Institute for Information Systems (WIN) at Karlsruhe Institute of Technology (KIT) conducts research and teaching at the intersection of information systems, digital technologies, and their impact on business and society.
The chair’s research focuses on Smart Grids & Energy Markets, Digital Democracy, Platforms & Digital Experiences, and Applied Responsible Artificial Intelligence. Within the energy research group, their expertise lies in market engineering, data analytics and experimental design. For example, they apply deep reinforcement learning to model and simulate energy markets and price mechanisms. They also use citizen science approaches, such as field experiments, to support sustainable and fair energy systems that actively involve public and societal stakeholders.
In NFDI4Energy, WIN contributes its expertise in incentive and platform design, digital citizen science, and Design Thinking. The goal is to support both the feature design of services within the NFDI4Energy portfolio and the engagement of the broader public.
Moreover, WIN maintains a long-standing network of municipal utilities and energy companies, which plays a key role in engaging the energy industry in NFDI4Energy activities.
Task areas
The WIN is involved in the following task areas:
- Task Area 1: WIN’s work in this TA involves the monitoring of the service usage as well as the development, implementation and evaluation of feedback & incentive mechanisms to enhance researcher‘s participation and engagement.
- Task Area 2: In this TA, WIN works on integrating society and policy in energy research, including the support of actors who bridge the gap between scientific data and public or political audiences, such as data journalists.
- Task Area 3: In this TA, WIN facilitates the involvement of the energy-related industry by identifying of industry requirements and developing data strategy guidelines for platform adoption and data sharing. These activities are carried out through workshops, surveys, and interviews within our extensive industry network.
Involvement
KIT-WIN is not part of any other NFDI consortia besides NFDI4Energy.
The Institute for Automation and Applied Informatics (IAI)
The IAI conducts research and development on automation, information, and communication technologies for sustainable energy systems and complex infrastructures. It focuses on interdisciplinary, application-oriented research in information, automation, and systems technologies. Their work supports the development of future-proof energy systems and complex industrial and laboratory processes. The area of energy informatics integrates informatics, electrical engineering, cybernetics, and economics to address challenges in complex energy systems.
The research group focuses on the modeling, simulation, and analysis of power grids, as well as distributed control and optimization. Its work also includes energy systems analysis, such as building energy supply and the integration of heat and electricity. Further key topics are semantic data models for spatial and energy data, data management covering time series, metadata, and smart retrieval. The group’s Energy Lab serves as a platform for studying interactions in future energy systems, including the Smart Energy concept.
The IAI brings deep expertise into NFDI4Energy in the areas of Metadata, Data Management, Ontologies, and Metadata Standards to support cutting-edge research and innovation
The Energy Lab at KIT is one of Europe’s largest and most advanced research infrastructures for renewable energy systems. It serves as a testbed for future energy technologies, enabling real-world experimentation and simulation of complex energy systems. The Energy Lab serves as a testbed in NFDI4Energy for the methods and tools developed within the project.
Task Areas
The IAI is involved in the following Task Areas:
- TA4 and TA5: IAI´s work in these TAs involves the development and adaptation of a metadata standard for energy data and the development of an ontology for linking simulators in the energy field.
- TA6: In this TA, the IAI develops a use-case to demonstrate the achievements of Task Areas 4 and 5 on the semantic modeling of co-simulation scenarios. We create a Power-Hardware-in-the-Loop Co-Simulation using the available Hardware in the EnergyLab and verify that this can properly be described with the mentioned models.
KIT is involved in a large number of consortia, but IAI is not part of any other NFDI consortium. It is, however, well-connected within the community through its participation in the Helmholtz Metadata Collaboration (HMC).
Involvement
KIT is involved in a large number of consortia, but IAI is not part of any other NFDI consortium, but is very well connected within the community through its participation in the Helmholtz Metadata Collaboration (HMC).
Get in touch with the institution’s KgS-representative:
Prof. Dr. Christof Weinhardt
Karlsuhe Institute of Technology (KIT)
