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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2018
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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. |
format | Online Article Text |
id | pubmed-6244974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT macdonaldianj modelinglifetimegreenhousegasemissionsassociatedwithmaterialsforvariousendoflifetreatments AT mohansatishb modelinglifetimegreenhousegasemissionsassociatedwithmaterialsforvariousendoflifetreatments |