Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116477
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.contributorResearch Institute for Advanced Manufacturing-
dc.creatorMoktadir, MA-
dc.creatorRen, J-
dc.date.accessioned2025-12-31T07:41:48Z-
dc.date.available2025-12-31T07:41:48Z-
dc.identifier.issn0968-0802-
dc.identifier.urihttp://hdl.handle.net/10397/116477-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sonsen_US
dc.subjectCarbon neutralityen_US
dc.subjectGreen hydrogen productionen_US
dc.subjectInnovative decision support modelen_US
dc.subjectSocial life cycle assessmenten_US
dc.subjectSocial sustainabilityen_US
dc.subjectTrapezoidal fuzzy LBWAen_US
dc.subjectTrapezoidal fuzzy MABACen_US
dc.titleAn innovative social life cycle decision-making model for assessing social sustainability : a case of green hydrogen productionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage7753-
dc.identifier.epage7774-
dc.identifier.volume33-
dc.identifier.issue5-
dc.identifier.doi10.1002/sd.3536-
dcterms.abstractThe energy sector is shifting to clean energy sources to achieve the goal of global carbon neutrality. Green hydrogen is considered a key player in decarbonizing various sectors due to its high energy density and environmentally friendly combustion. However, the social implications of green hydrogen production (GHP) remain underexplored. Particularly, there is a lack of studies on developing a comprehensive social life cycle decision support framework to assess its social sustainability performance. To address this gap, a novel decision-making framework was developed by integrating a social sustainability assessment criterion system taken from the Product Social Impact Life Cycle Assessment (PSILCA) database, a trapezoidal-fuzzy set (TrFS)-based Level-Based Weight Assessment (LBWA), and a TrFS-Multi-Attributive Border Approximation Area Comparison (MABAC) model for assessing S-LCA indicators and social sustainability performance of the GHP supply chain, focusing on a case study. The findings revealed that the “Fair salary” is the most critical social sustainability indicator for the GHP supply chain, with a weight of 0.1232. The social sustainability performance assessment of various regions using literature-based S-LCA data depicted that “Australia” outperformed other regions. The study highlighted the importance of addressing social sustainability issues for the GHP supply chain to ensure a just and inclusive energy transition. Through case studies and sensitivity analysis, the model demonstrates its applicability in guiding policymakers and industry stakeholders toward socially responsible GHP supply chain development. This research contributes to sustainable energy discourse by offering a robust tool for balancing social sustainability objectives in the hydrogen economy.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationSustainable development, Oct. 2025, v. 33, no. 5, p. 7753-7774-
dcterms.isPartOfSustainable development-
dcterms.issued2025-10-
dc.identifier.scopus2-s2.0-105006922191-
dc.identifier.eissn1099-1719-
dc.description.validate202512 bcjz-
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000626/2025-11en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported by Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, RKHB. The authors would like to express their sincere thanks to the financial support from the Research Institute for Advanced Manufacturing (RIAM) of The Hong Kong Polytechnic University (project code: 1-CDK2, Project ID: P0050827). The work was also supported by a grant from the Environment and Conservation Fund (ECF) (Project ID: P0047715, Funding Body Ref. No: ECF 81/2023, Project No. K-ZB7V), a grant from The Hong Kong-Macao Joint Research Development Fund of Wuyi University (Primary Work Programme: H-ZGKG, Project ID: P0043781), and a grant from Research Grants Council of the Hong Kong Special Administrative Region, China-General Research Fund (Project ID: P0046940, Funding Body Ref. No: 15305823, Project No. B-QC83).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-10-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2027-10-31
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.