Document Type
Article
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Probability, Construction engineering, Energy and fuels
Abstract
Policymakers traditionally focus on regulating operational energy use in buildings, ignoring other life cycle components such as embodied energy even though this may account for a significant portion of life cycle emissions. Data relating to embodied energy and emissions in buildings is limited. However, stochastic techniques can be used to estimate the distribution of such emissions from buildings. This helps policymakers identify which instruments are appropriate for achieving emissions reductions. A primary aim of this paper is to demonstrate this approach using a sample of apartment buildings in Ireland. A Monte-Carlo simulation suggests that the average probability distribution of embodied greenhouse gases in a sample of Irish apartment buildings is characteristic of a Wakeby distribution with a long tail which can be targeted for improvement through the implementation of appropriate policies. Two policies are investigated: one regulatory whereby the embodied emissions of building materials are limited to the 80th percentile of their current distributions; and one informational where buildings are given an embodied emissions rating. It is estimated that such policies could result in an average reduction of 450gCO2-eq/€ for the sample of apartment buildings analysed and could result in savings of €2bn to EU-27 countries in avoided carbon credits.
DOI
https://doi.org/10.1016/j.enpol.2010.10.022
Recommended Citation
Acquaye, A., Duffy, A., Basu, B.: (2011) Embodied emissions abatement-a policy assessment using stochastic analysis. Energy Policy, Volume 39, Issue 1, Pages 429-441, ISSN 0301-4215. doi:10.1016/j.enpol.2010.10.022
Funder
Department of Education TSR Strand I
Included in
Applied Statistics Commons, Construction Engineering and Management Commons, Environmental Indicators and Impact Assessment Commons, Natural Resources Management and Policy Commons, Oil, Gas, and Energy Commons, Probability Commons, Sustainability Commons
Publication Details
Journal of Energy Policy, Volume 39, Issue 1, Pages 429-441. ISSN 0301-4215. Available from http://www.sciencedirect.com/science/journal/03014215