4.7 Article

Approach to manage parameter and choice uncertainty in life cycle optimisation of building design: Case study of optimal insulation thickness

期刊

BUILDING AND ENVIRONMENT
卷 191, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2020.107544

关键词

Building; Optimise; LCA; LCC; Life cycle; Uncertainty

资金

  1. Swedish Energy Agency
  2. Swedish construction industry's organisation for research and development (SBUF)

向作者/读者索取更多资源

To mitigate global warming, reducing the climate impact of building stock is crucial, as it contributes to 39% of GHG emissions in Europe. It is essential to consider both production and operation/maintenance in building design to minimize climate impact over the building's lifetime. This study aims to develop a procedure using life cycle studies as decision support for sustainable building design.
In order to mitigate global warming, it is important to decrease the climate impact from the building stock, which accounts for 39% of the GHG emissions in Europe. An extensive portion of these emissions are generated from the heating of buildings, but emissions also occur from the production of building materials. It is therefore important to find building design solutions that consider both production and operation and maintenance in order to minimise the climate impact of a building during its entire lifetime. At the same time, the production of buildings has to be cost-efficient. In the design of buildings, both climate impact and cost must be evaluated in order to make well-supported decisions. The overall aim of this study was to develop a procedure to facilitate using life cycle studies as decision support for building design. The presented approach will provide a structured means to manage choice and parameter uncertainty when life cycle studies are used as decision support in order to optimise building design. There are many uncertainties in the design phase of buildings, and the approach is demonstrated here in a case study of insulation thickness in the building envelope. The results can be used to support decisions on where to effectively make improvements when subjective choices and parameter uncertainties are considered in the study. The suggested approach will lessen the problem of false certainty in the conclusions drawn, and at the same time provide strong decision support.

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