A group of seventeen companies and four research institutes in the Central Thuringia region, works on a strategy for energetic retrofits to create liveable, efficient and environmentally-friendly residential areas in the future. Urban districts are converted to energy efficient districts with a high level of self-sufficiency of renewable energy technologies. The experts at "smood" combine newly developed technologies for energy generation and storage with established techniques such as photovoltaics, solar thermal or geothermal energy to create an optimized system.

Fundamental goal of the sub project “ScanSim - Neighborhood-related Data Acquisition and Processing” is to develop a process to perform the basis for planning and to generate a retrofit plan. New methods and procedures for data acquisition (smoodCAPTURE) as well as data storage (smoodQIM) and data evaluation (smoodSIM) are developed to perform an innovative process. The combination of modern technologies such as drone-based condition assessment and methods of computer vision, urban building energy modeling and data recording on geographic context opens up new possibilities for a digital and fully automated process.

The professorship of building physics is mainly working on the part of developing dynamic models for the energy simulation of urban districts. The process is developed from a simplified district model with performance characteristics into a fully automated simulation model. Thereby the present process of generating time-consuming, independent simulation models for each partner of the process are replaced by notably simplified accelerated and improved process.

Funded by:

Federal Ministry of Education and Research (BMBF)

Project duration:

07/2019 - 06/2022

Contact person:

Mara Geske
Tel. +49 3643 583439

Project partner at Bauhaus-Universität Weimar:

Modeling and Simulation - Construction (Prof. Dr. Guido Morgenthal) and Computer Vision in Engineering (Prof. Dr. Volker Rodehorst)