Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An inventory framework for inclusion of textile chemicals in life cycle assessment
RISE - Research Institutes of Sweden, Materials and Production, IVF. Chalmers University of Technology, Sweden.ORCID iD: 0000-0002-7949-2268
RISE - Research Institutes of Sweden, Materials and Production, IVF.ORCID iD: 0000-0003-3124-1723
RISE - Research Institutes of Sweden, Materials and Production, IVF.
Chalmers University of Technology, Sweden.
Show others and affiliations
2019 (English)In: The International Journal of Life Cycle Assessment, ISSN 0948-3349, E-ISSN 1614-7502, Vol. 24, no 5, p. 838-847Article in journal (Refereed) Published
Abstract [en]

Purpose: Toxicity impacts of chemicals have only been covered to a minor extent in LCA studies of textile products. The two main reasons for this exclusion are (1) the lack of life cycle inventory (LCI) data on use and emissions of textile-related chemicals, and (2) the lack of life cycle impact assessment (LCIA) data for calculating impacts based on the LCI data. This paper addresses the first of these two. Methods: In order to facilitate the LCI analysis for LCA practitioners, an inventory framework was developed. The framework builds on a nomenclature for textile-related chemicals which was used to build up a generic chemical product inventory for use in LCA of textiles. In the chemical product inventory, each chemical product and its content was modelled to fit the subsequent LCIA step. This means that the content and subsequent emission data are time-integrated, including both original content and, when relevant, transformation products as well as impurities. Another key feature of the framework is the modelling of modularised process performance in terms of emissions to air and water. Results and discussion: The inventory framework follows the traditional structure of LCI databases to allow for use together with existing LCI and LCIA data. It contains LCI data sets for common textile processes (unit processes), including use and emissions of textile-related chemicals. The data sets can be used for screening LCA studies and/or, due to their modular structure, also modified. Modified data sets can be modelled from recipes of input chemicals, where the chemical product inventory provides LCA-compatible content and emission data. The data sets and the chemical product inventory can also be used as data collection templates in more detailed LCA studies. Conclusions: A parallel development of a nomenclature for and acquisition of LCI data resulted in the creation of a modularised inventory framework. The framework advances the LCA method to provide results that can guide towards reduced environmental impact from textile production, including also the toxicity impacts from textile chemicals. Recommendations: The framework can be used for guiding stakeholders of the textile sector in macro-level decisions regarding the effectiveness of different impact reduction interventions, as well as for guiding on-site decisions in textile manufacturing.

Place, publisher, year, edition, pages
2019. Vol. 24, no 5, p. 838-847
Keywords [en]
Chemical, LCA, Life cycle inventory, Textile, USEtox
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-36058DOI: 10.1007/s11367-018-1537-6Scopus ID: 2-s2.0-85055540338OAI: oai:DiVA.org:ri-36058DiVA, id: diva2:1261545
Available from: 2018-11-07 Created: 2018-11-07 Last updated: 2019-06-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Roos, SandraJönsson, Christina

Search in DiVA

By author/editor
Roos, SandraJönsson, Christina
By organisation
IVF
In the same journal
The International Journal of Life Cycle Assessment
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 87 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf