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

Authors :
MacDonald, Ian J
Mohan, Satish B.
Source :
Environmental Monitoring & Assessment; Dec2018, Vol. 190 Issue 12, p1-1, 1p
Publication Year :
2018

Abstract

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<subscript>p</subscript>) that includes the materials' emissions until the service life of the facility and (ii) non-productive portion (GWIM<subscript>np</subscript>) 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<subscript>2</subscript>e or MTCO<subscript>2</subscript>e), this model reports the GWIMs in units of kgCO<subscript>2</subscript>e-years or MTCO<subscript>2</subscript>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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01676369
Volume :
190
Issue :
12
Database :
Complementary Index
Journal :
Environmental Monitoring & Assessment
Publication Type :
Academic Journal
Accession number :
133612006
Full Text :
https://doi.org/10.1007/s10661-018-7050-3