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Embodied emissions abatement-A policy assessment using stochastic analysis

Acquaye, Adolf, Duffy, Aidan, Basu, Biswajit (2011) Embodied emissions abatement-A policy assessment using stochastic analysis. Energy Policy, 39 (1). pp. 429-441. ISSN 0301-4215. (doi:10.1016/j.enpol.2010.10.022) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35216)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1016/j.enpol.2010.10.022

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 450 gCO2-eq/€ for the sample of apartment buildings analysed and could result in savings of €2bn to EU-27 countries in avoided carbon credits.

Item Type: Article
DOI/Identification number: 10.1016/j.enpol.2010.10.022
Uncontrolled keywords: Stochastic analysis; Embodied emissions policy; Construction sector
Subjects: H Social Sciences
H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Catherine Norman
Date Deposited: 16 Sep 2013 13:45 UTC
Last Modified: 06 Feb 2020 04:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35216 (The current URI for this page, for reference purposes)
Acquaye, Adolf: https://orcid.org/0000-0003-0430-2498
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