Usage Data Based Optimisation of Buildings and Facilities using the Example of Munich University of Applied

Prof. Dr.-Ing. Werner Jensch (Faculty of Supply and Building Technology)
Prof. Dr.-Ing. Simon Schramm (Faculty of Electrical Engineering and Information Technology)
Prof. Dr. Peter Mandl (Faculty of Computer Science and Mathematics)

The aim of climate-neutral building operation can be planned due to current technical facilities, however, practical implementation is difficult due to various user-typical specifications and influences. On account of their structure and size, cities and districts usually appear too complex to adequately capture the structural and energy challenges. The building stock of a university, in contrast, is easier to understand due to its manageable size, interconnectivity and comprehension as a district. Its heterogeneity in terms of existing buildings, used technologies and various usages enable the transfer of the results to other districts.

On the basis of the predecessor projects HoEff (the university on the way to energy-efficient building operation) and HoEff-CIM (energy-efficient university - campus information modeling), which were carried out at the Ludwig Maximilian University Munich (LMU), research is now to be carried out on the own object and findings applied at the University of Applied Sciences in Munich. The building stock will first 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 project participants of the Munich University of Applied Sciences will then deal with the partial aspects of data acquisition, identification of user influences, utility energy simulation and optimisation of integral planning processes. The following questions are examined in particular:

• How can the total energy demand of complex building structures be analyzed in an automated, data-based and cost-efficient way by data-driven technologies? In which way can it be evaluated and reduced?
• How can the necessary measuring effort be reduced by correlation of data from additional sources?
• How can the user be consciously involved in the transformation process to a climate-neutral campus or energy-efficient building operation?
• What kind of information and data is required to represent the user in sufficient detail?
• How can user effects be adequately considered in the design process or reliably be detected in the operational diagnostics?
• How can the energy effects be quantified on a well-founded basis? Does more technology also guarantee a better solution?

The chair for energy efficient and sustainable design and building, represented by Prof. Dr.-Ing. Werner Lang, investigates the partial aspects of socio-economic modelling of user influences and sustainable reference plant concepts. The findings of the overall project are to be incorporated into the planning of new building projects and the energetic refurbishment or repair of existing buildings at the Munich University of Applied Sciences in cooperation with the university management and the Munich State Building Authority II.

Running duration:
01.04.2019 - 31.03.2022, extended until 31.10.2022

Funded by:
Federal Ministry of Economics Affairs and Climate Action

Project executing organisation:
Project Management Jülich

Project Partner:
Technical University of Munich