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Probabilistic Approaches to the Measurement of Embodied Carbon in Buildings

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Embodied Carbon in Buildings

Abstract

The measurement of embodied carbon in buildings or building components encounters many problems of uncertainty, which are increased for life cycle measurement. The level of uncertainty for a measurement varies on a spectrum from precise knowledge to total ignorance. The most rudimentary way of measuring an uncertain variable is to use a single-value ‘best guess’. Methods that acknowledge uncertainty and give a probabilistic measurement of the variable include: a range, a three-point estimate, an empirical distribution, or a mathematical distribution.

Life cycle measurement subject to uncertainty can be represented by a tree of possible future values, or by Monte Carlo simulation of sampled future values. When measurements are probabilistic, decision makers’ choices respond to their degree of risk aversion and time preference. In situations of uncertainty, flexible strategies that adapt to unfolding events can mitigate the risk of damaging outcomes.

A worked example compares deterministic and probabilistic measurement of the embodied carbon of a construction system with reusable steel modules. The system reduces embodied carbon if the modules are reused. For the probabilistic measurement, the length of the service life of the modules and the probability of reuse are uncertain variables. The steel module system is compared with conventional reinforced concrete construction. The probabilistic approach provides additional information and understanding for decision makers.

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Acknowledgments

Software for probabilistic modelling of life cycle costing (LCC) and life cycle assessment (LCA), including sensitivity analysis and flexibility, was developed in the collaborative CILECCTA project (Construction Industry Life-cycle Costing and Assessment, 2009–13) (see CILECCTA 2013). It was funded by the European Community Programme FP7/2007–2013 for Research, Technological Development and Demonstration Activities under EC Grant Agreement no. 229061.

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Correspondence to W. Fawcett .

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Gantner, J., Fawcett, W., Ellingham, I. (2018). Probabilistic Approaches to the Measurement of Embodied Carbon in Buildings. In: Pomponi, F., De Wolf, C., Moncaster, A. (eds) Embodied Carbon in Buildings. Springer, Cham. https://doi.org/10.1007/978-3-319-72796-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-72796-7_2

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