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Modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments

This research has developed mathematical models for computing lifetime greenhouse gas (GHG) emissions associated with materials. The models include embodied carbon (EC) emissions from the manufacture of materials, and GHG emissions from incineration, or landfill gas (LFG) production from landfill di...

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Autores principales: MacDonald, Ian J, Mohan, Satish B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244974/
https://www.ncbi.nlm.nih.gov/pubmed/30426308
http://dx.doi.org/10.1007/s10661-018-7050-3
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author MacDonald, Ian J
Mohan, Satish B.
author_facet MacDonald, Ian J
Mohan, Satish B.
author_sort MacDonald, Ian J
collection PubMed
description This research has developed mathematical models for computing lifetime greenhouse gas (GHG) emissions associated with materials. The models include embodied carbon (EC) emissions from the manufacture of materials, and GHG emissions from incineration, or landfill gas (LFG) production from landfill disposal of the material beyond their service lives. The models are applicable to all materials; however, their applications here are demonstrated for the lumber from a residential building with 50- and 100-year service lives, and with incineration, landfill, and deconstruction as end-of-life treatments. This paper introduces a new metric for lifetime GHG emissions associated with materials termed “Global Warming Impact of Materials (GWIM).” The GWIM is subdivided into two portions: (i) productive portion (GWIM(p)) that includes the materials’ emissions until the service life of the facility and (ii) non-productive portion (GWIM(np)) which includes the materials’ GHG emissions beyond the service life until they are eliminated from the atmosphere. In place of the current, static, EC measurements (kgCO(2)e or MTCO(2)e), this model reports the GWIMs in units of kgCO(2)e-years or MTCO(2)e-years, which includes the effects of “time of use” of a facility. Using the models, this paper has computed GHG reductions by deconstruction, with material recoveries of 30%, 50%, and 70% at demolition for reuse, recycle, or repurpose. A 70% material recovery, after a 50-year service life of the building, affected a savings of 47% and 52% if the remaining 30% debris was incinerated or landfilled respectively. All of the values computed using models checked out with manual calculations.
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spelling pubmed-62449742018-12-04 Modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments MacDonald, Ian J Mohan, Satish B. Environ Monit Assess Article This research has developed mathematical models for computing lifetime greenhouse gas (GHG) emissions associated with materials. The models include embodied carbon (EC) emissions from the manufacture of materials, and GHG emissions from incineration, or landfill gas (LFG) production from landfill disposal of the material beyond their service lives. The models are applicable to all materials; however, their applications here are demonstrated for the lumber from a residential building with 50- and 100-year service lives, and with incineration, landfill, and deconstruction as end-of-life treatments. This paper introduces a new metric for lifetime GHG emissions associated with materials termed “Global Warming Impact of Materials (GWIM).” The GWIM is subdivided into two portions: (i) productive portion (GWIM(p)) that includes the materials’ emissions until the service life of the facility and (ii) non-productive portion (GWIM(np)) which includes the materials’ GHG emissions beyond the service life until they are eliminated from the atmosphere. In place of the current, static, EC measurements (kgCO(2)e or MTCO(2)e), this model reports the GWIMs in units of kgCO(2)e-years or MTCO(2)e-years, which includes the effects of “time of use” of a facility. Using the models, this paper has computed GHG reductions by deconstruction, with material recoveries of 30%, 50%, and 70% at demolition for reuse, recycle, or repurpose. A 70% material recovery, after a 50-year service life of the building, affected a savings of 47% and 52% if the remaining 30% debris was incinerated or landfilled respectively. All of the values computed using models checked out with manual calculations. Springer International Publishing 2018-11-14 2018 /pmc/articles/PMC6244974/ /pubmed/30426308 http://dx.doi.org/10.1007/s10661-018-7050-3 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
MacDonald, Ian J
Mohan, Satish B.
Modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments
title Modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments
title_full Modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments
title_fullStr Modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments
title_full_unstemmed Modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments
title_short Modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments
title_sort modeling lifetime greenhouse gas emissions associated with materials for various end-of-life treatments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244974/
https://www.ncbi.nlm.nih.gov/pubmed/30426308
http://dx.doi.org/10.1007/s10661-018-7050-3
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