dc.contributor.author | Grytli, Tuva | |
dc.contributor.author | Birgen, Cansu | |
dc.date.accessioned | 2024-01-19T10:38:28Z | |
dc.date.available | 2024-01-19T10:38:28Z | |
dc.date.created | 2023-08-15T10:29:00Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Computer-aided chemical engineering. 2023, 52, 2149-2154. | en_US |
dc.identifier.issn | 1570-7946 | |
dc.identifier.uri | https://hdl.handle.net/11250/3112770 | |
dc.description.abstract | This paper presents regression analysis results on time series data of waste composition analyses from a municipal waste company in Norway, with a discussion on methodological challenges. The aim is to investigate what affects municipal solid waste (MSW) source-sorting results, to facilitate achieving circular economy targets. The share of four MSW fractions in the mixed waste bin are studied considering five independent variables: Collection/sorting systems for food waste, glass and metal packaging waste, and mixed waste; year of analysis, and pre/post covid-19. We find that only the source sorting systems have significant impacts on the waste composition, and that user-friendliness matters. We recommend more in-depth studies to increase data quality to better utilise the potential of waste composition analyses for a more circular waste system. © 2023 Elsevier B.V. Author keywords circular economy; Municipal solid waste; regression analysis; sorting behaviour; waste management | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | A Critical Look at Waste Composition Analyses: Challenges and Opportunities | en_US |
dc.title.alternative | A Critical Look at Waste Composition Analyses: Challenges and Opportunities | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 2149-2154 | en_US |
dc.source.volume | 52 | en_US |
dc.source.journal | Computer-aided chemical engineering | en_US |
dc.identifier.doi | 10.1016/B978-0-443-15274-0.50342-5 | |
dc.identifier.cristin | 2166990 | |
dc.relation.project | Norges forskningsråd: 319795 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |