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A parameter selection framework for sustainability assessment

Abstract:
Sustainability assessment of resource recovery from waste is an important prerequisite for informed and sound decision-making. Life Cycle Sustainability Assessment (LCSA) has been developed to support this process, yet its use is still constrained by the difficulty of identifying the most relevant impact parameters. This paper, seeks to inform LCSA for resource recovery from waste based on a parameter identification approach that uses the political, economic, social, technological, environmental and legal (PESTEL) analysis. The novelty of this approach lies in the structured conceptualisation of the resource recovery system and the context within which decisions are made. The anaerobic digestion of source-separated food waste in the UK is used as a case study to trial and demonstrate the approach. Findings suggest that a conceptual, qualitative analysis, although limited in its scope due to the lack of quantitative components, is suitable in integrating different parameters, allowing for a holistic conceptualisation of the system and capturing important issues that could be easily overlooked. This type of analysis can summarise the key interdependencies, contrast the trade-offs and provide a wider understanding of the political and legal context within which the system operates, all important in extending the implementation of LCSA towards the right direction.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3390/su9091497

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Role:
Author
ORCID:
0000-0002-8394-9099
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
MDPI
Journal:
Sustainability More from this journal
Volume:
9
Issue:
9
Article number:
1497
Publication date:
2017-08-23
Acceptance date:
2017-08-18
DOI:
ISSN:
2071-1050


Language:
English
Keywords:
Pubs id:
pubs:956304
UUID:
uuid:a6355198-5c0e-4323-83bc-0b3fbdffad2b
Local pid:
pubs:956304
Source identifiers:
956304
Deposit date:
2019-01-04
ARK identifier:

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