A multi-criteria decision analysis tool to support electricity planning

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Fernando
Data de Publicação: 2012
Outros Autores: Ferreira, Paula Varandas, Araújo, Maria Madalena Teixeira de
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/21678
Resumo: A Multi-Criteria Decision Analysis (MCDA) tool was designed to support the evaluation of different electricity production scenarios. The MCDA tool is implemented in Excel worksheet and uses information obtained from a mixed integer optimization model. Given the input, the MCDA allowed ranking different scenarios relying on their performance on 13 criteria covering economic, job market, quality of life of local populations, technical and environmental issues. The criteria were weighted using both direct weights and trade-off analysis. In this paper, scenarios for the case of the Portuguese electricity system are presented, as well as the results of the evaluation, using the MCDA tool, relying on the input from a group of academics with background in economics, engineering and environment.
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spelling A multi-criteria decision analysis tool to support electricity planningEnergy decision makingMCDAElectricity generationSustainable developmentA Multi-Criteria Decision Analysis (MCDA) tool was designed to support the evaluation of different electricity production scenarios. The MCDA tool is implemented in Excel worksheet and uses information obtained from a mixed integer optimization model. Given the input, the MCDA allowed ranking different scenarios relying on their performance on 13 criteria covering economic, job market, quality of life of local populations, technical and environmental issues. The criteria were weighted using both direct weights and trade-off analysis. In this paper, scenarios for the case of the Portuguese electricity system are presented, as well as the results of the evaluation, using the MCDA tool, relying on the input from a group of academics with background in economics, engineering and environment.QREN, COMPETE, FCT- under Project FCOMP-01-0124-FEDER-011377Åbo Akademi UniversityUniversidade do MinhoRibeiro, FernandoFerreira, Paula VarandasAraújo, Maria Madalena Teixeira de2012-06-262012-06-26T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/21678eng9788866553229info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-11T04:43:55Zoai:repositorium.sdum.uminho.pt:1822/21678Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T04:43:55Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A multi-criteria decision analysis tool to support electricity planning
title A multi-criteria decision analysis tool to support electricity planning
spellingShingle A multi-criteria decision analysis tool to support electricity planning
Ribeiro, Fernando
Energy decision making
MCDA
Electricity generation
Sustainable development
title_short A multi-criteria decision analysis tool to support electricity planning
title_full A multi-criteria decision analysis tool to support electricity planning
title_fullStr A multi-criteria decision analysis tool to support electricity planning
title_full_unstemmed A multi-criteria decision analysis tool to support electricity planning
title_sort A multi-criteria decision analysis tool to support electricity planning
author Ribeiro, Fernando
author_facet Ribeiro, Fernando
Ferreira, Paula Varandas
Araújo, Maria Madalena Teixeira de
author_role author
author2 Ferreira, Paula Varandas
Araújo, Maria Madalena Teixeira de
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ribeiro, Fernando
Ferreira, Paula Varandas
Araújo, Maria Madalena Teixeira de
dc.subject.por.fl_str_mv Energy decision making
MCDA
Electricity generation
Sustainable development
topic Energy decision making
MCDA
Electricity generation
Sustainable development
description A Multi-Criteria Decision Analysis (MCDA) tool was designed to support the evaluation of different electricity production scenarios. The MCDA tool is implemented in Excel worksheet and uses information obtained from a mixed integer optimization model. Given the input, the MCDA allowed ranking different scenarios relying on their performance on 13 criteria covering economic, job market, quality of life of local populations, technical and environmental issues. The criteria were weighted using both direct weights and trade-off analysis. In this paper, scenarios for the case of the Portuguese electricity system are presented, as well as the results of the evaluation, using the MCDA tool, relying on the input from a group of academics with background in economics, engineering and environment.
publishDate 2012
dc.date.none.fl_str_mv 2012-06-26
2012-06-26T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/21678
url http://hdl.handle.net/1822/21678
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9788866553229
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Åbo Akademi University
publisher.none.fl_str_mv Åbo Akademi University
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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