- Model order reduction of building energy simulation models using a convolutional neural network autoencoder. Building and Environment, 2021, 108498 more…
01.04.2019 – 31.10.2022
The Federal Ministry for Economic Affairs and Climate Action (BMWK)
Project Sponsor Jülich, PtJ
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)
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:
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.
Farzan Banihashemi, Sebastian Botzler, Daniel Kierdorf