Enhanced data envelopment analysis for sustainability assessment: Anovel methodology and application to electricity technologies
dc.contributor.author | Galán-Martín, Ángel | |
dc.contributor.author | Guillén-Gosálbez, Gonzalo | |
dc.contributor.author | Stamford, Laurence | |
dc.contributor.author | Azapagic, Adisa | |
dc.date.accessioned | 2025-01-28T22:43:43Z | |
dc.date.available | 2025-01-28T22:43:43Z | |
dc.date.issued | 2016-07-12 | |
dc.description.abstract | Quantifying the level of sustainability attained by a system is a challenging task due to the need to consider a wide range of economic, environmental and social aspects simultaneously. This work explores the application of data envelopment analysis (DEA) to evaluate the sustainability ‘efficiency’ of a system. We propose an enhanced DEA methodology that uses the concept of ‘order of efficiency’ to compare and rank alternatives according to the extent to which they adhere to sustainability principles. The capabilities of the proposed approach are illustrated through a sustainability assessment of different technologies for electricity generation in United Kingdom. In addition to screening the alternatives based on sustainability principles, enhanced DEA provides improvement targets for the least sustainable alternatives that, if achieved, would make them more sustainable. The enhanced DEA shows clearly the ultimate distance to sustainability, helping industry and policy makers to improve the efficiency of technologies, products and policies. | es_ES |
dc.description.sponsorship | The authors wish to acknowledge the financial support forthis research from the Spanish Ministry of Education and Sci-ence (Projects CTQ2012-37039-C02, DPI2012-37154-C02-02) andUK Engineering and Physical Sciences Research Council (EPSRC,Grant no. EP/K011820/1). We also would like to acknowledge finan-cial support from the Pump-Priming Research Programme of TheUniversity of Manchester. | es_ES |
dc.identifier.citation | Computers and Chemical Engineering, 2016, Volume 90, Pages 188 - 200 | es_ES |
dc.identifier.issn | 00981354 | es_ES |
dc.identifier.other | 10.1016/j.compchemeng.2016.04.022 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10953/4446 | |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier Ltd | es_ES |
dc.relation.ispartof | Computers and Chemical Engineering, 2016, Volume 90, Pages 188 - 200 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Data envelopment analysis | es_ES |
dc.subject | Efficiency | es_ES |
dc.subject | Electric power generation | es_ES |
dc.subject | Life cycle | es_ES |
dc.subject | Social aspects | es_ES |
dc.subject | Sustainability assessment | es_ES |
dc.title | Enhanced data envelopment analysis for sustainability assessment: Anovel methodology and application to electricity technologies | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
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