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Multi-attribute sustainability assessment of wastewater treatment technologies using combined fuzzy multi-criteria decision-making techniques
Dalarna University, School of Information and Engineering, Energy Technology. Indian Institute of Technology Mandi, Himachal Pradesh, India.ORCID iD: 0000-0002-4116-9932
2022 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 357, article id 131849Article in journal (Refereed) Published
Abstract [en]

Water, which is predicted to be one of the most critical resources for the near future, also plays a vital role in society's sustainable development. Wastewater treatment is a critical part of the circular water management system and offers various technological alternatives. Taking appropriate decision for the technology selection is, therefore, essential for a long-term perspective. A complex yet imperative process is the sustainable selection of the wastewater treatment process. This paper presents the use of multi-criteria decision-making (MCDM) in the sustainability assessment of wastewater treatment technologies that may be very relevant to the growing sector with many emerging options. A comparison of six wastewater treatment technologies based on four sustainability parameters using three MCDM techniques, namely FSWARA, FMOORA and FTOPSIS is presented in detail. FSWARA is used for weighting criteria and the other two for technology ranking. The detailed step-by-step comparison study is presented and the results were somewhat predictable for the study, and this confirms the reliability of the methodology. This paper's primary objective is to propose a well-defined increscent practice for making sustainable wastewater treatment decisions among state-of-the-art technologies.

Place, publisher, year, edition, pages
2022. Vol. 357, article id 131849
Keywords [en]
Wastewater treatment, MCDM, Fuzzy SWARA, Fuzzy MOORA, Fuzzy TOPSIS, Decision making
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:du-41407DOI: 10.1016/j.jclepro.2022.131849ISI: 000799122900002Scopus ID: 2-s2.0-85129549155OAI: oai:DiVA.org:du-41407DiVA, id: diva2:1656771
Available from: 2022-05-07 Created: 2022-05-07 Last updated: 2023-03-17Bibliographically approved

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Powar, Satvasheel

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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