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Decision analysis for sustainable development: the case of renewable energy planning under uncertainty
dc.contributor.author | Ezbakhe, Fatine |
dc.contributor.author | Pérez Foguet, Agustí |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Civil |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2021-03-11T13:15:48Z |
dc.date.available | 2022-03-05T01:26:24Z |
dc.date.issued | 2021-06 |
dc.identifier.citation | Ezbakhe, F.; Pérez-Foguet, A. Decision analysis for sustainable development: the case of renewable energy planning under uncertainty. "European journal of operational research", Juny 2021, vol. 291, núm. 2, p. 601-613. |
dc.identifier.issn | 0377-2217 |
dc.identifier.other | https://www.researchgate.net/publication/339792410_Decision_analysis_for_sustainable_development_the_case_of_renewable_energy_planning_under_uncertainty |
dc.identifier.uri | http://hdl.handle.net/2117/341488 |
dc.description.abstract | Multi-Criteria Decision Analysis (MCDA) methods are increasingly used to aid decision-making for sustainable development. However, although uncertainty is present in all decision environments, dealing with incomplete and vague information in decision analysis remains a challenge. Our objective is to simplify the incorporation of uncertainty in the scoring of alternatives in MCDA processes. We present a modified ELimination and Choice Translating REality (ELECTRE) III model, in which the uncertainty in the performance scores is expressed as lower/upper bounds and then added to the model’s discrimination thresholds. Unlike other uncertainty approaches developed in the literature (such as those based on fuzzy set theory), our approach does not require additional knowledge apart from understanding the ELECTRE III model. To test its validity and suitability, we apply it for the evaluation of renewable energy resources for Turkey – hydro, wind, geothermal, solar, and biomass – under five main criteria: technological, technical, economic, environmental, and socio-politic. Our results indicate that wind energy is the best alternative for Turkey, followed by solar energy, which is in line with country’s Vision 2023 energy targets. |
dc.description.sponsorship | This research has been partially funded by the Agència de Gestió d’Ajuts Universitaris i de Recerca de la Generalitat de Catalunya (Ref. 2017 SGR 1496). |
dc.format.extent | 13 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.rights | © 2019. Elsevier |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Desenvolupament sostenible::Energia i sostenibilitat |
dc.subject.lcsh | Renewable energy--Environmental aspects |
dc.subject.other | OR in developing countries |
dc.subject.other | ELECTRE III |
dc.subject.other | Uncertainty |
dc.subject.other | Multiple criteria analysis |
dc.subject.other | Renewable Energy |
dc.title | Decision analysis for sustainable development: the case of renewable energy planning under uncertainty |
dc.type | Article |
dc.subject.lemac | Energies renovables -- Aspectes ambientals |
dc.contributor.group | Universitat Politècnica de Catalunya. EScGD - Engineering Sciences and Global Development |
dc.identifier.doi | 10.1016/j.ejor.2020.02.037 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/abs/pii/S0377221720301727 |
dc.rights.access | Open Access |
local.identifier.drac | 28794316 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Ezbakhe, F.; Pérez-Foguet, A. |
local.citation.publicationName | European journal of operational research |
local.citation.volume | 291 |
local.citation.number | 2 |
local.citation.startingPage | 601 |
local.citation.endingPage | 613 |
dc.description.sdg | Objectius de Desenvolupament Sostenible::7 - Energia Assequible i No Contaminant |
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