ecoKI-GO - Practical Optimization of the ecoKI Platform
General Information
Project Duration: 04/2026 - 03/2029
Project Coordinator: Leon Urbas
Project Manager: Julius Lorenz
Team-Members: Xinyu Wang
Funding Agency:
Federal Minister for Economic Affairs and Energy – aufgrund eines Beschlusses des Deutschen Bundestages
Project execution:
Projektträger Jülich, Forschungszentrum Jülich GmbH
Project Partners:
- SWMS Consulting GmbH
- BIBA - Bremer Institut für Produktion und Logistik GmbH
- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Project Description
The ecoKI-GO project aims to further develop the AI-based platform developed in the ecoKI project to increase energy efficiency and transfer it into practical application. The focus is on the technical, organizational, and economic further development of the platform to make it easy, secure, and low-effort to use, especially for small and medium-sized enterprises (SMEs).
While ecoKI has demonstrated the basic feasibility and benefits of the platform in a research environment,
ecoKI-GO aims to expand the solution so that stable and efficient operation is possible under real-world conditions. To this end, the technical components will be revised, operational requirements defined, and the software implemented and tested in several pilot projects at SMEs. The results from these practical applications will be incorporated into further improvements to the platform.
A central component of the project is the development and establishment of a sustainable business and operating model that ensures the long-term use and continuous further development of ecoKI. The plan is to use a cooperative-based approach that combines the interests of research, industry, and user companies and supports both shared use and economic viability.
ecoKI-GO is to be developed into a sustainable, practical solution that supports companies in analyzing and optimizing their energy consumption. The project thus makes an important contribution to digitalization in small and medium-sized enterprises and to increasing energy efficiency in production.
As TU Dresden - Process-to-Order Group our primary focus is on practical optimization in collaboration with our partners. The emphasis is on implementation and evaluation, also within the Process-To-Order-Lab Learning Factory.
Primary Contact:
© Sven Ellger
Research Assistant
NameMr Dipl.-Ing. Julius Lorenz
Team Lead - Modular Plant Operations Group
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Professur für Prozessleittechnik Arbeitsgruppe Systemverfahrenstechnik
Professur für Prozessleittechnik Arbeitsgruppe Systemverfahrenstechnik
Postal address:
TUD Dresden University of Technology
Fakultät Elektrotechnik und Informationstechnik
Institut für Automatisierungstechnik
01062 Dresden
Parcel address:
TUD Dresden University of Technology
Fakultät Elektrotechnik und Informationstechnik
Institut für Automatisierungstechnik
Helmholtzstr. 10
01069 Dresden
Visiting address:
Barkhausenbau, E 19 Georg-Schumann-Strasse 18
01069 Dresden