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Operational Framework to Quantify “Quality of Recycling” across Different Material Types

[Image: see text] Many pledges and laws are setting recycling targets without clearly defining quality of recycling. Striving to close this gap, this study presents an operational framework to quantify quality of recycling. The framework comprises three dimensions: the Virgin Displacement Potential...

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Autores principales: Roosen, Martijn, Tonini, Davide, Albizzati, Paola Federica, Caro, Dario, Cristóbal, Jorge, Lase, Irdanto Saputra, Ragaert, Kim, Dumoulin, Ann, De Meester, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501198/
https://www.ncbi.nlm.nih.gov/pubmed/37640371
http://dx.doi.org/10.1021/acs.est.3c03023
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author Roosen, Martijn
Tonini, Davide
Albizzati, Paola Federica
Caro, Dario
Cristóbal, Jorge
Lase, Irdanto Saputra
Ragaert, Kim
Dumoulin, Ann
De Meester, Steven
author_facet Roosen, Martijn
Tonini, Davide
Albizzati, Paola Federica
Caro, Dario
Cristóbal, Jorge
Lase, Irdanto Saputra
Ragaert, Kim
Dumoulin, Ann
De Meester, Steven
author_sort Roosen, Martijn
collection PubMed
description [Image: see text] Many pledges and laws are setting recycling targets without clearly defining quality of recycling. Striving to close this gap, this study presents an operational framework to quantify quality of recycling. The framework comprises three dimensions: the Virgin Displacement Potential (VDP); In-Use Stocks Lifetime (IUSL); and Environmental Impact (EI). The VDP indicates to what extent a secondary material can be used as a substitute for virgin material; the IUSL indicates how much of a certain material is still functional in society over a given time frame, and the EI is a measure of the environmental impact of a recycling process. The three dimensions are aggregated by plotting them in a distance-to-target graph. Two example calculations are included on poly(ethylene terephthalate) (PET) and glass. The results indicate that the recycling of bottle and container glass collected via a deposit–refund system has the lowest distance-to-target, at 1.05, and, thus, the highest quality of recycling. For PET bottles, the highest quality of recycling is achieved in closed-loop mechanical recycling of bottles (distance to optimal quality of 0.96). Furthermore, sensitivity analysis indicates that certain parameters, e.g., the collection rate for PET bottles, can reduce the distance-to-target to 0.75 when all bottles are collected for recycling.
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spelling pubmed-105011982023-09-15 Operational Framework to Quantify “Quality of Recycling” across Different Material Types Roosen, Martijn Tonini, Davide Albizzati, Paola Federica Caro, Dario Cristóbal, Jorge Lase, Irdanto Saputra Ragaert, Kim Dumoulin, Ann De Meester, Steven Environ Sci Technol [Image: see text] Many pledges and laws are setting recycling targets without clearly defining quality of recycling. Striving to close this gap, this study presents an operational framework to quantify quality of recycling. The framework comprises three dimensions: the Virgin Displacement Potential (VDP); In-Use Stocks Lifetime (IUSL); and Environmental Impact (EI). The VDP indicates to what extent a secondary material can be used as a substitute for virgin material; the IUSL indicates how much of a certain material is still functional in society over a given time frame, and the EI is a measure of the environmental impact of a recycling process. The three dimensions are aggregated by plotting them in a distance-to-target graph. Two example calculations are included on poly(ethylene terephthalate) (PET) and glass. The results indicate that the recycling of bottle and container glass collected via a deposit–refund system has the lowest distance-to-target, at 1.05, and, thus, the highest quality of recycling. For PET bottles, the highest quality of recycling is achieved in closed-loop mechanical recycling of bottles (distance to optimal quality of 0.96). Furthermore, sensitivity analysis indicates that certain parameters, e.g., the collection rate for PET bottles, can reduce the distance-to-target to 0.75 when all bottles are collected for recycling. American Chemical Society 2023-08-28 /pmc/articles/PMC10501198/ /pubmed/37640371 http://dx.doi.org/10.1021/acs.est.3c03023 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Roosen, Martijn
Tonini, Davide
Albizzati, Paola Federica
Caro, Dario
Cristóbal, Jorge
Lase, Irdanto Saputra
Ragaert, Kim
Dumoulin, Ann
De Meester, Steven
Operational Framework to Quantify “Quality of Recycling” across Different Material Types
title Operational Framework to Quantify “Quality of Recycling” across Different Material Types
title_full Operational Framework to Quantify “Quality of Recycling” across Different Material Types
title_fullStr Operational Framework to Quantify “Quality of Recycling” across Different Material Types
title_full_unstemmed Operational Framework to Quantify “Quality of Recycling” across Different Material Types
title_short Operational Framework to Quantify “Quality of Recycling” across Different Material Types
title_sort operational framework to quantify “quality of recycling” across different material types
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501198/
https://www.ncbi.nlm.nih.gov/pubmed/37640371
http://dx.doi.org/10.1021/acs.est.3c03023
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