Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector
Main Author: | |
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Publication Date: | 2021 |
Other Authors: | , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UFMS |
Download full: | https://repositorio.ufms.br/handle/123456789/5020 |
Summary: | This article aims to propose a multi-criteria model to support decision-making from a portfolio in selecting technologies for Distributed Generation of Energy (DGE) projects based on the characteristics of the geographic space in Brazil. The decision model involves using multi-criteria to support the evaluation, prioritization, and selection of projects under a multistage decisionmaking process that fits into a strategic management cycle within the energy sector of Mato Grosso do Sul (Brazil). The over-classification techniques Preference Ranking Organization Technique for Enrichment Evaluations (PROMETHEE) II and V were applied under the Value-Focused Thinking (VFT) approach, reflecting the decision-maker or manager preferences among several conflicting criteria in the investment context of sustainable distributed energy generation projects. Based on real data, a numerical application is employed to view the steps of this decision model and illustrate the adequacy and effectiveness in practical issues of portfolio management. |
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2022-08-07T15:31:32Z2022-08-07T15:31:32Z2021-10-10https://repositorio.ufms.br/handle/123456789/5020This article aims to propose a multi-criteria model to support decision-making from a portfolio in selecting technologies for Distributed Generation of Energy (DGE) projects based on the characteristics of the geographic space in Brazil. The decision model involves using multi-criteria to support the evaluation, prioritization, and selection of projects under a multistage decisionmaking process that fits into a strategic management cycle within the energy sector of Mato Grosso do Sul (Brazil). The over-classification techniques Preference Ranking Organization Technique for Enrichment Evaluations (PROMETHEE) II and V were applied under the Value-Focused Thinking (VFT) approach, reflecting the decision-maker or manager preferences among several conflicting criteria in the investment context of sustainable distributed energy generation projects. Based on real data, a numerical application is employed to view the steps of this decision model and illustrate the adequacy and effectiveness in practical issues of portfolio management.This article aims to propose a multi-criteria model to support decision-making from a portfolio in selecting technologies for Distributed Generation of Energy (DGE) projects based on the characteristics of the geographic space in Brazil. The decision model involves using multi-criteria to support the evaluation, prioritization, and selection of projects under a multistage decisionmaking process that fits into a strategic management cycle within the energy sector of Mato Grosso do Sul (Brazil). The over-classification techniques Preference Ranking Organization Technique for Enrichment Evaluations (PROMETHEE) II and V were applied under the Value-Focused Thinking (VFT) approach, reflecting the decision-maker or manager preferences among several conflicting criteria in the investment context of sustainable distributed energy generation projects. Based on real data, a numerical application is employed to view the steps of this decision model and illustrate the adequacy and effectiveness in practical issues of portfolio management.engSustainabilityEngenharias IIIsustainable distributed generationclean energyportfolio selectionMCDM/APROMETHEECombining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sectorinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBortoluzzi, MirianFurlan, MarceloColombo, Simone GeitenesAmaral, Tatiele MartinsSouza, Celso CorreiaReis Neto, , José FranciscoFrança, Josimar FernandesBrasilinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMSinstname:Universidade Federal de Mato Grosso do Sul (UFMS)instacron:UFMSLICENSElicense.txtlicense.txttext/plain; charset=utf-82031https://repositorio.ufms.br/bitstream/123456789/5020/2/license.txt9671aa5ac42cb06edaf75013367dfe04MD52ORIGINALsustainability-13-11091-v3.pdfsustainability-13-11091-v3.pdfapplication/pdf5020615https://repositorio.ufms.br/bitstream/123456789/5020/1/sustainability-13-11091-v3.pdfffa3ff383001a6bf26fbdf66f7d2d2caMD51123456789/50202022-08-07 11:31:32.678oai:repositorio.ufms.br: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ório InstitucionalPUBhttps://repositorio.ufms.br/oai/requestri.prograd@ufms.bropendoar:21242022-08-07T15:31:32Repositório Institucional da UFMS - Universidade Federal de Mato Grosso do Sul (UFMS)false |
dc.title.pt_BR.fl_str_mv |
Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector |
title |
Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector |
spellingShingle |
Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector Bortoluzzi, Mirian Engenharias III sustainable distributed generation clean energy portfolio selection MCDM/A PROMETHEE |
title_short |
Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector |
title_full |
Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector |
title_fullStr |
Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector |
title_full_unstemmed |
Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector |
title_sort |
Combining Value-Focused Thinking and PROMETHEE Techniques for Selecting a Portfolio of Distributed Energy Generation Projects in the Brazilian Electricity Sector |
author |
Bortoluzzi, Mirian |
author_facet |
Bortoluzzi, Mirian Furlan, Marcelo Colombo, Simone Geitenes Amaral, Tatiele Martins Souza, Celso Correia Reis Neto, , José Francisco França, Josimar Fernandes |
author_role |
author |
author2 |
Furlan, Marcelo Colombo, Simone Geitenes Amaral, Tatiele Martins Souza, Celso Correia Reis Neto, , José Francisco França, Josimar Fernandes |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Bortoluzzi, Mirian Furlan, Marcelo Colombo, Simone Geitenes Amaral, Tatiele Martins Souza, Celso Correia Reis Neto, , José Francisco França, Josimar Fernandes |
dc.subject.cnpq.fl_str_mv |
Engenharias III |
topic |
Engenharias III sustainable distributed generation clean energy portfolio selection MCDM/A PROMETHEE |
dc.subject.por.fl_str_mv |
sustainable distributed generation clean energy portfolio selection MCDM/A PROMETHEE |
description |
This article aims to propose a multi-criteria model to support decision-making from a portfolio in selecting technologies for Distributed Generation of Energy (DGE) projects based on the characteristics of the geographic space in Brazil. The decision model involves using multi-criteria to support the evaluation, prioritization, and selection of projects under a multistage decisionmaking process that fits into a strategic management cycle within the energy sector of Mato Grosso do Sul (Brazil). The over-classification techniques Preference Ranking Organization Technique for Enrichment Evaluations (PROMETHEE) II and V were applied under the Value-Focused Thinking (VFT) approach, reflecting the decision-maker or manager preferences among several conflicting criteria in the investment context of sustainable distributed energy generation projects. Based on real data, a numerical application is employed to view the steps of this decision model and illustrate the adequacy and effectiveness in practical issues of portfolio management. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021-10-10 |
dc.date.accessioned.fl_str_mv |
2022-08-07T15:31:32Z |
dc.date.available.fl_str_mv |
2022-08-07T15:31:32Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufms.br/handle/123456789/5020 |
url |
https://repositorio.ufms.br/handle/123456789/5020 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Sustainability |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.country.fl_str_mv |
Brasil |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMS instname:Universidade Federal de Mato Grosso do Sul (UFMS) instacron:UFMS |
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Universidade Federal de Mato Grosso do Sul (UFMS) |
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UFMS |
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UFMS |
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Repositório Institucional da UFMS |
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Repositório Institucional da UFMS |
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Repositório Institucional da UFMS - Universidade Federal de Mato Grosso do Sul (UFMS) |
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ri.prograd@ufms.br |
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1834467149662388224 |