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Clean Tech

measurement of the radiance of a photovoltaic module

Intelligent solutions for more sustainability

The Clean Tech research topic is characterised by an extraordinarily high level of interdisciplinarity. Scientists from the fields of Intelligent Systems and Materials are researching jointly on the development of new concepts and technologies for the sustainable use of resources, materials and energy as well as for climate protection.

Within our research area Intelligent Systems, Clean Tech focus on the development of intelligent technologies and software solutions for sustainable and resource-saving use of energy and materials.

These include, for example:

  • the area of efficient and sustainable energy generation (renewable energies), energy storage and energy distribution (intelligent power grids / smart grids),
  • research into energy-efficient (electric) drive technologies or
  • the development of intelligent sensor and software solutions to realise efficient manufacturing and recycling processes.

Projects

  • STEPS4EU Kick-off-Meeting in Mailand

    STEPS4EU

    Improvement of the overall success of engineering projects in the EU through the development of cross-functional skills of all participating team members.

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  • The Primavera24 presenter interviews Prof. Dr. Rainer Georg Hofmann.

    mainproject

    Information transfer project focusing on digital transformation, sustainability and agile transition to strengthen the competitiveness of SMEs enterprises in the Bavarian Lower Main region.

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  • AI modelling with expert knowledge for Indusrtry workspaces

    Exkimo

    AI modelling with integration of expert knowledge for use in industrial processes.

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  • Professor and staff member in the BioMems Lab at TH Aschaffenburg.

    Light sheet

    As part of the approved project “Confocal Laser Scanning Microscope with Light Sheet Module”, the DFG is funding the acquisition of a high-resolution microscope within this framework.

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  • Zwei Forscher stehen vor ihrem Forschungsprojekt

    MOSES

    Multi-optical sensor technology and real-time data processing are used to capture the process situation for automated UKP laser based PCB processing for manufacturing inductive sensors of the future.

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  • dima project Design Thinking Workshop

    dima Digital Manufactory

    The Digital Manufacture supports citizens of the city of Aschaffenburg with applied artificial intelligence to improve the urban living space.

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  • Prof. Dr. Erich Ruppert und Joachim Schmitt referieren im Rahmen des Wissenstransferprojekts mainproject.

    TransferformKMU

    With TransferformKMU, the Institute for Management and leadership supports regional companies on their way out of the pandemic with further training on sustainability and transformation.

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  • The project....

    AdLer: Adaptive digital class rooms

    Through the digital tool AdLer, teachers create networked virtual learning spaces with 2D and 3D immersive visualisation.

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  • An inverter cell of a modular energy storage system in the Laboratory for Electrical Machines, Power Electronics and Drives.

    LeMoStore

    Configuration, development and construction of the inverter cells of a modular energy storage system.

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More projects

Labs and teams

At the moment the lab pages are only available in German. We are currently working on English content for you.

Scientists

Publications

Scientists at Aschaffenburg UAS regularly publish new publications in the field of Clean Tech. In this way, they expand the professional dialog within the scientific community and provide incentives for new research approaches.

Companies from industry and commerce have the opportunity to gain insights into the various fields of application, which provide starting points for further innovations.

To the publications in Clean Tech

Contact

Are you interested in a cooperation with Aschaffenburg UAS? We are happy to assist you in planning new projects.

Back to overview: Intelligent Systems