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Embodied emissions abatement: A policy assessment using stochastic analysis

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Embodied emissions abatement : A policy assessment using stochastic analysis. / Acquaye, Adolf; Duffy, Aidan; Basu, Biswajit.

In: Energy policy, Vol. 39, No. 1, 01.2011, p. 429-441.

Research output: Contribution to journalArticle

Harvard

Acquaye, A, Duffy, A & Basu, B 2011, 'Embodied emissions abatement: A policy assessment using stochastic analysis', Energy policy, vol. 39, no. 1, pp. 429-441. https://doi.org/10.1016/j.enpol.2010.10.022

APA

Acquaye, A., Duffy, A., & Basu, B. (2011). Embodied emissions abatement: A policy assessment using stochastic analysis. Energy policy, 39(1), 429-441. https://doi.org/10.1016/j.enpol.2010.10.022

Vancouver

Acquaye A, Duffy A, Basu B. Embodied emissions abatement: A policy assessment using stochastic analysis. Energy policy. 2011 Jan;39(1):429-441. https://doi.org/10.1016/j.enpol.2010.10.022

Author

Acquaye, Adolf ; Duffy, Aidan ; Basu, Biswajit. / Embodied emissions abatement : A policy assessment using stochastic analysis. In: Energy policy. 2011 ; Vol. 39, No. 1. pp. 429-441.

Bibtex - Download

@article{6e97692e78a74ecca3b6c58cb0b9f0d4,
title = "Embodied emissions abatement: A policy assessment using stochastic analysis",
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 gCO(2)-eq/E for the sample of apartment buildings analysed and could result in savings of (sic)2bn to EU-27 countries in avoided carbon credits. (C) 2010 Elsevier Ltd. All rights reserved.",
keywords = "Stochastic analysis, Embodied emissions policy, Construction sector, LIFE-CYCLE INVENTORY, ENERGY, INPUT, MODEL, WORK",
author = "Adolf Acquaye and Aidan Duffy and Biswajit Basu",
year = "2011",
month = "1",
doi = "10.1016/j.enpol.2010.10.022",
language = "English",
volume = "39",
pages = "429--441",
journal = "Energy policy",
issn = "0301-4215",
publisher = "Elsevier BV",
number = "1",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Embodied emissions abatement

T2 - A policy assessment using stochastic analysis

AU - Acquaye, Adolf

AU - Duffy, Aidan

AU - Basu, Biswajit

PY - 2011/1

Y1 - 2011/1

N2 - 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 gCO(2)-eq/E for the sample of apartment buildings analysed and could result in savings of (sic)2bn to EU-27 countries in avoided carbon credits. (C) 2010 Elsevier Ltd. All rights reserved.

AB - 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 gCO(2)-eq/E for the sample of apartment buildings analysed and could result in savings of (sic)2bn to EU-27 countries in avoided carbon credits. (C) 2010 Elsevier Ltd. All rights reserved.

KW - Stochastic analysis

KW - Embodied emissions policy

KW - Construction sector

KW - LIFE-CYCLE INVENTORY

KW - ENERGY

KW - INPUT

KW - MODEL

KW - WORK

UR - http://www.scopus.com/inward/record.url?scp=78549260319&partnerID=8YFLogxK

U2 - 10.1016/j.enpol.2010.10.022

DO - 10.1016/j.enpol.2010.10.022

M3 - Article

VL - 39

SP - 429

EP - 441

JO - Energy policy

JF - Energy policy

SN - 0301-4215

IS - 1

ER -