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https://hdl.handle.net/1822/53240
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Campo DC | Valor | Idioma |
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dc.contributor.author | Santos, Maria João Martins | por |
dc.contributor.author | Ferreira, Paula Varandas | por |
dc.contributor.author | Araújo, Maria Madalena Teixeira de | por |
dc.date.accessioned | 2018-03-22T15:08:21Z | - |
dc.date.available | 2018-03-22T15:08:21Z | - |
dc.date.issued | 2015 | - |
dc.identifier.isbn | 978-1-4673-6692-2 | - |
dc.identifier.issn | 2165-4077 | - |
dc.identifier.uri | https://hdl.handle.net/1822/53240 | - |
dc.description.abstract | Energy planning is a complex process involving multiple and conflicting objectives with many agents able to influence decisions. This complexity is frequently addressed with the use of multicriteria tools, relying on a set of criteria and different methods to aggregate all the information in a final ranking of the available alternatives. This paper describes the application of a multicriteria decision tool for the analysis of Portuguese electricity scenarios. A set of criteria is proposed aiming to include social, economic, environmental and technical aspects. Criteria weighting was directly addressed considering 5 approaches: equitable weights, financial, technological, social and environmental perspectives. Results indicate that close to 100% RES scenario is the best option under a social perspective, base scenario represents the best option on a technical approach and scenarios relying on natural gas and wind power units are the best options for the electricity system under equitable weights, economic and environmental approaches. | por |
dc.description.sponsorship | FCT - Fundação para a Ciência e a Tecnologia() | por |
dc.description.sponsorship | The author wish to acknowledge the support of ALGORITMI, a research Centre at the University of Minho. This work is supported by National Funds through FCT - Foundation for Science and Technology, under the project PEst- OE/UID/CEC00319/2013. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.rights | openAccess | por |
dc.subject | Electricity scenarios | por |
dc.subject | Multicriteria | por |
dc.subject | 100% renewable | por |
dc.title | Multicriteria scenario analysis on electricity production | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 5 | por |
oaire.citationVolume | 2015-August | por |
dc.date.updated | 2018-03-22T12:50:20Z | - |
dc.identifier.doi | 10.1109/EEM.2015.7216697 | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | - |
sdum.export.identifier | 4716 | - |
sdum.journal | International Conference on the European Energy Market, Eem | por |
sdum.conferencePublication | 2015 12th International Conference on the European Energy Market (EEM) | por |
sdum.bookTitle | 2015 12th International Conference on the European Energy Market (EEM) | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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Multicriteria Scenario Analysis on Electricity Production_IEEE 2015.pdf | 330,03 kB | Adobe PDF | Ver/Abrir |