Bernadette Lang-Eurisch M.Sc.

Theses related to the mentioned research focuses can be supervised. An overview of the currently offered topics can be foundhere. After consultation, it is also possible to submit your own topic suggestions.

Research Focus Area

At the core of my work is the multicriteria optimisation of green façades, the subject of my ongoing dissertation, in which I bring together building and environmental simulation, building-physics simulation of the cooling effect, and life cycle assessment across the entire lifecycle. Methodologically, I combine simulation at component and building level with experimental validation to reliably evaluate the energy and building-physics performance of façade systems. I extend this lifecycle perspective through to end of life. Via circularity and design for disassembly, I apply the approach to a broad range of innovative façades, from façade greening to textile and paper-based systems, aiming to close material cycles already at the design stage.

Keywords
Green façades, Building-physics simulation, Life cycle assessment (LCA), Circularity, Sustainable façade engineering

Projects

• SWIVT II „District energy modules for existing residential areas – Impulses for linking energy efficient technologies“ (Project Coordinator)
  • Development of systemic tools for sustainability assessment of energy-efficient building renovations.
• PapE Paper-based circular exterior wall system (Project Coordinator)
  
  • Development of an exterior facade made from biogenic fiber materials.
• OpenFace
  • Development and implementation of the Circularity Principles for Façade Engineering course in collaboration with TU Delft and Eurac Research.
    
• DELTA
  • Analysis of the constructions with regard to their dismantling and environmental impacts throughout the entire lifecycle.
• B-SWIVT
  • Analysis of the cooling effect of green façades with PV systems.
• EnEffTex:
  • Energy and building-physics simulation of textile façades at component and building level, along with experiments and validation on the large-scale demonstrator.

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