Probabilistic LCA and LCC to identify robust and reliable renovation strategies
Abstract
Buildings are one of the largest energy consumers and greenhouse gas emitters in the world. As the largest part of the energy consumed by the existing non-insulated buildings occurs during the operation stage, retrofitting the building stock is crucial to reduce the environmental impact. To guarantee that the retrofit measures provide economic and environmental benefits, the whole life cycle should be assessed. However, the identification of environmental and at the same time cost-effective solutions is difficult due to the complexity and the uncertainty involved. Currently, simplified approaches based on limited assumptions are used that can lead to inaccurate results. This paper proposes a method for identifying robust renovation scenarios for residential buildings in Switzerland. The method and the developed tool use 47 uncertain parameters and Sobol' indices to identify the most influential parameters. As such, robust renovation strategies can be identified in the early design stage. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000370478Publication status
publishedExternal links
Book title
Proceedings of the 2019 Sustainable Built Environment Conference (SBE19)Journal / series
IOP Conference Series: Earth and Environmental ScienceVolume
Pages / Article No.
Publisher
IOP PublishingEvent
Subject
LCA; LCC; Uncertainty Quantification; Sensitivity analysis (SA); Building renovationOrganisational unit
03972 - Habert, Guillaume / Habert, Guillaume
03962 - Sudret, Bruno / Sudret, Bruno
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
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