User-data-based optimization of buildings and facilities at the example of Munich University of Applied Sciences.

Project duration:

01.04.2019 – 31.03.2019

Funding organization:

Federal Ministry of Economics and Energy (Bundesministerium für Wirtschaft und Energie, BMWi)

Project Sponsor:

Project Sponsor Jülich, PtJ

Project partners:

University of Applied Sciences Munich, Prof. Dr. –Ing. Werner Jensch (Department of Building Services Engineering)

Prof. Dr. –Ing. Simon Schramm (Department of Electrical Engineering and Information Technology)

Prof. Dr. Peter Mandl (Department of Computer Science and Mathematics)

Brief Summary:

Although the goal of climate-neutral building operation can be planned thanks to today’s technical possibilities, practical implementation is difficult due to different user-specific requirements and influences. Due to their structure and size, cities and districts usually appear to be too complex to adequately capture the structural and energetic challenges. In contrast, the building stock of a university is easier to understand due to its manageable size, networking and recording as a district. It’s heterogeneity in terms of existing buildings, used technologies and various uses make it possible to transfer the results achieved to other districts. 

Based on the predecessor projects HoEff (The University on its way to energy-efficient building operation) and HoEff-CIM (Energy-efficient university – Campus Information Modeling), which were carried out at the Ludwig Maximilian University in Munich (LMU), it is now intended to conduct research on the own building and apply findings at the Munich University of Applied Sciences. The building-stock will initially be recorded and classified energetically with the help of the findings, methods, and tools of the predecessor projects, including its types of use and users. 

The Institute of Energy Efficient and Sustainable Design and Building investigates the partial aspects of socio-economic modelling of user influences and sustainable reference plant concepts. The following questions are specifically investigated:

  • How can the total energy demand of complex building structures be automated, data-based and cost-efficiently analyzed, evaluated and reduced?
  • How can the necessary measuring effort be reduced by correlation with data from additionally available sources?
  • How can the user be consciously involved in the transformation to a climate-neutral campus or an energy-efficient building operation?
  • Which kind of information and data is needed, to map the user with sufficient accuracy?
  • How can user effects be adequately considered during planning or reliably detected in the operational diagnosis?
  • How can the energetic effects be quantified? Does more technology also guarantee a better solution?

The findings of the overall project are to be incorporated into the planning of new building projects and the energetic renovation or repair of the building-stock at the Munich University of Applied Sciences in cooperation with the university management and the Munich State Building Authority II.