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Combined material flow analysis and life cycle assessment as a support tool for solid waste management decision making

Combined material flow analysis and life cycle assessment as a support tool for solid waste management decision making
Combined material flow analysis and life cycle assessment as a support tool for solid waste management decision making
Material flow analysis (MFA) and life cycle assessment (LCA) have both widely been applied to support solid waste management (SWM) decision making. However, they are often applied independently rather than conjointly. This paper presents an approach that combines the MFA and LCA methodologies to evaluate large and complex SWM systems from an environmental perspective. The approach was applied to evaluate the environmental performance, focusing on greenhouse gas (GHG) emissions, of a local authority SWM system and to compare it with alternative systems to assess the potential effectiveness of different waste policy measures. The MFA results suggest that national recycling targets are unlikely to be met even if the assessed policies are implemented optimally. It is likely that for the targets to be met, investigated policies would need to be combined with additional policies that target reductions in waste arisings. The LCA results found landfilling of residual waste to be the dominant source of GHG burdens for the existing system, whilst material reprocessing was found to result in GHG benefits. Overall, each of the alternative systems investigated were found to result in lower GHG impacts compared to the existing system, with the diversion of food waste from the residual waste stream found to be potentially the most effective strategy to reduce GHG emissions. The results of this study demonstrate that the complementary methodologies of MFA and LCA can be used in combination to provide policy and decision makers with valuable information about the environmental performance of SWM systems
0959-6526
234-248
Turner, David
0542a602-16ce-4aa8-9ca4-9e8d2c72d3c5
Williams, Ian
c9d674ac-ee69-4937-ab43-17e716266e22
Kemp, Simon
942b35c0-3584-4ca1-bf9e-5f07790d6e36
Turner, David
0542a602-16ce-4aa8-9ca4-9e8d2c72d3c5
Williams, Ian
c9d674ac-ee69-4937-ab43-17e716266e22
Kemp, Simon
942b35c0-3584-4ca1-bf9e-5f07790d6e36

Turner, David, Williams, Ian and Kemp, Simon (2016) Combined material flow analysis and life cycle assessment as a support tool for solid waste management decision making. Journal of Cleaner Production, 129, 234-248. (doi:10.1016/j.jclepro.2016.04.077).

Record type: Article

Abstract

Material flow analysis (MFA) and life cycle assessment (LCA) have both widely been applied to support solid waste management (SWM) decision making. However, they are often applied independently rather than conjointly. This paper presents an approach that combines the MFA and LCA methodologies to evaluate large and complex SWM systems from an environmental perspective. The approach was applied to evaluate the environmental performance, focusing on greenhouse gas (GHG) emissions, of a local authority SWM system and to compare it with alternative systems to assess the potential effectiveness of different waste policy measures. The MFA results suggest that national recycling targets are unlikely to be met even if the assessed policies are implemented optimally. It is likely that for the targets to be met, investigated policies would need to be combined with additional policies that target reductions in waste arisings. The LCA results found landfilling of residual waste to be the dominant source of GHG burdens for the existing system, whilst material reprocessing was found to result in GHG benefits. Overall, each of the alternative systems investigated were found to result in lower GHG impacts compared to the existing system, with the diversion of food waste from the residual waste stream found to be potentially the most effective strategy to reduce GHG emissions. The results of this study demonstrate that the complementary methodologies of MFA and LCA can be used in combination to provide policy and decision makers with valuable information about the environmental performance of SWM systems

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More information

Accepted/In Press date: 18 April 2016
e-pub ahead of print date: 26 April 2016
Published date: 15 August 2016
Organisations: Centre for Environmental Science

Identifiers

Local EPrints ID: 398036
URI: http://eprints.soton.ac.uk/id/eprint/398036
ISSN: 0959-6526
PURE UUID: 5c8b1319-cdfb-4f63-ae05-94506043d0ac
ORCID for Ian Williams: ORCID iD orcid.org/0000-0002-0121-1219

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Date deposited: 15 Jul 2016 08:28
Last modified: 15 Mar 2024 03:22

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Contributors

Author: David Turner
Author: Ian Williams ORCID iD
Author: Simon Kemp

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