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A platform for research: civil engineering, architecture and urbanism
Statistical analysis of embodied carbon emission for building construction
Highlights Embodied carbon (EC) for 43 building cases was calculated in terms of nine materials. Statistical characteristics of EC for each material were examined. EC present skewed and peaked shapes which fit gamma or lognormal distribution. EC have correlations between the materials relevant to their coupled quantities. Importance of applying the statistical characteristics for estimating EC was highlighted.
Abstract Buildings are significant contributors to the greenhouse effect through emission of considerable carbon dioxide during their life cycle. Life cycle carbon resulting from buildings consists of two components: operational carbon (OC) and embodied carbon (EC). Recent studies have shown the growing significance of EC because much effort has already been invested into reducing OC. In this context, it is important to estimate and reduce EC. Because of the variability and uncertainty contained in a range of conditions, the EC of building needs to be calculated based on probabilistic analysis. This study identifies and analyzes the statistical characteristics of EC emitted from building construction materials. It was aimed at buildings constructed of reinforced concrete and nine representative construction materials. Descriptive statistics analysis, correlation analysis, and a goodness-of-fit test were performed to describe the statistical characteristics of EC. In addition, a case study was carried out to show the difference between the deterministic and probabilistic estimations. Presenting statistical information on EC data and the differences between the deterministic and probabilistic values, the result shows the necessity and reasonability of the probabilistic method for EC estimation.
Statistical analysis of embodied carbon emission for building construction
Highlights Embodied carbon (EC) for 43 building cases was calculated in terms of nine materials. Statistical characteristics of EC for each material were examined. EC present skewed and peaked shapes which fit gamma or lognormal distribution. EC have correlations between the materials relevant to their coupled quantities. Importance of applying the statistical characteristics for estimating EC was highlighted.
Abstract Buildings are significant contributors to the greenhouse effect through emission of considerable carbon dioxide during their life cycle. Life cycle carbon resulting from buildings consists of two components: operational carbon (OC) and embodied carbon (EC). Recent studies have shown the growing significance of EC because much effort has already been invested into reducing OC. In this context, it is important to estimate and reduce EC. Because of the variability and uncertainty contained in a range of conditions, the EC of building needs to be calculated based on probabilistic analysis. This study identifies and analyzes the statistical characteristics of EC emitted from building construction materials. It was aimed at buildings constructed of reinforced concrete and nine representative construction materials. Descriptive statistics analysis, correlation analysis, and a goodness-of-fit test were performed to describe the statistical characteristics of EC. In addition, a case study was carried out to show the difference between the deterministic and probabilistic estimations. Presenting statistical information on EC data and the differences between the deterministic and probabilistic values, the result shows the necessity and reasonability of the probabilistic method for EC estimation.
Statistical analysis of embodied carbon emission for building construction
Kang, Goune (author) / Kim, Taehoon (author) / Kim, Yong-Woo (author) / Cho, Hunhee (author) / Kang, Kyung-In (author)
Energy and Buildings ; 105 ; 326-333
2015-07-22
8 pages
Article (Journal)
Electronic Resource
English
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