Decision support tool for renovation strategies of buildings with lack of technical documentation based on available databases and field surveys
In the European Union discussions are ongoing to enforce national renovation strategies of buildings to reach low or zero carbon dioxide emissions from the building industry by 2050. Today, the documentation of renovations and changes is inadequate which creates difficulties to predict e.g. a brick façade’s service life. The aim of this project is to develop tools (i.e. checklists) to assess the renovation strategies for a specific building based on the data collected in field (observations and measurements). We use models for service life assessment of buildings to identify performance criteria for the renovation need. This information is used to develop the methodology for early identification of potential performance failures. Thereby, we provide a decision support tool for renovating at the right time with the correct measure. A combination of field inspections using drones and algorithms for machine learning is performed together with data analysis of existing databases which provide basis for training of neural networks and genetic algorithms. We use information from the Swedish National Board of Housing, Building and Planning’s (Boverket) surveys, our own investigations and a large-scale status inventory and documentation of buildings in central Gothenburg. This amount of data has never been available, which gives us a unique opportunity to perform the project now. The project results in better and more adapted renovation strategies for any given building.
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Associate Professor, Head of Programme TKSAM, Architecture and Civil Engineering, Building Technology, Building Physics Modelling
Pär Johansson is Associate Professor at the Division of Building Technology, research team Building Physics Modelling. Pär works with high performance thermal insulation (super insulation) materials...
Associate Professor, Computer and Network Systems division, Department of Computer Science and Engineering.
More details on personal website: http://www.cse.chalmers.se/~almgren/
Full Professor and Research Group Leader, Vice Head of Department Education, Architecture and Civil Engineering, Building Technology, Building Physics Modelling
Angela leads the research group Building Physics Modelling. As a Full Professor in Building Physics she conducts research and teaching in energy efficiency and moisture safety of buildings, with...