Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods

Detalhes bibliográficos
Autor(a) principal: Caricimi, Rudimar
Data de Publicação: 2022
Outros Autores: Dranka, Géremi Gilson, Setti, Dalmarino, Ferreira, Paula Varandas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/80813
Resumo: Before selecting a proper hydraulic turbine for power generation, conflicting factors frequently emerge from the wide range of available technology alternatives. The preliminary selection of hydraulic turbines (PSHT) has been usually carried out by overlooking and/or overshadowing downstream and upstream processes. The development of a new conceptual framework that allows for including more parameters into the decision-making process at company levels is still required to avoid the danger of engaging in a one-dimensional approach, which would not only result in a reduced and simplistic vision of the choice but would also overlook the trade-offs between individual aspects and the possible unintended side-effects. This paper aims to provide empirical evidence for the PSHT by proposing a well-thought-out framework based on a mixed methodology approach (analytical hierarchy process (AHP) and fuzzy-VIKOR multi-criteria methods) and focused on small hydropower projects. A total of 16 criteria are proposed and divided into 4 main categories—(i) turbine performance, (ii) turbine and generator costs, (iii) other equipment costs, and (iv) civil costs. Findings reported here reveal a specific alignment between investors’ preferences and experts’ judgments with real market practices. The 16 proposed criteria can be further considered to support the decision-making process for PSHT in different head and flow conditions.
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spelling Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methodsHydraulic turbinesMulti-criteria decision making (MCDM)Renewable energySmall hydropower plant (SHP)Analytic hierarchy process (AHP)Fuzzy-VIKORScience & TechnologyBefore selecting a proper hydraulic turbine for power generation, conflicting factors frequently emerge from the wide range of available technology alternatives. The preliminary selection of hydraulic turbines (PSHT) has been usually carried out by overlooking and/or overshadowing downstream and upstream processes. The development of a new conceptual framework that allows for including more parameters into the decision-making process at company levels is still required to avoid the danger of engaging in a one-dimensional approach, which would not only result in a reduced and simplistic vision of the choice but would also overlook the trade-offs between individual aspects and the possible unintended side-effects. This paper aims to provide empirical evidence for the PSHT by proposing a well-thought-out framework based on a mixed methodology approach (analytical hierarchy process (AHP) and fuzzy-VIKOR multi-criteria methods) and focused on small hydropower projects. A total of 16 criteria are proposed and divided into 4 main categories—(i) turbine performance, (ii) turbine and generator costs, (iii) other equipment costs, and (iv) civil costs. Findings reported here reveal a specific alignment between investors’ preferences and experts’ judgments with real market practices. The 16 proposed criteria can be further considered to support the decision-making process for PSHT in different head and flow conditions.This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.Multidisciplinary Digital Publishing InstituteUniversidade do MinhoCaricimi, RudimarDranka, Géremi GilsonSetti, DalmarinoFerreira, Paula Varandas2022-10-082022-10-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/80813engCaricimi, R.; Dranka, G.G.; Setti, D.; Ferreira, P. Reframing the Selection of Hydraulic Turbines Integrating Analytical Hierarchy Process (AHP) and Fuzzy VIKOR Multi-Criteria Methods. Energies 2022, 15, 7383. https://doi.org/10.3390/en151973831996-107310.3390/en151973837383https://www.mdpi.com/1996-1073/15/19/7383info: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:RCAAP2023-07-21T12:25:36Zoai:repositorium.sdum.uminho.pt:1822/80813Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:19:51.824119Repositório 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 Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
title Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
spellingShingle Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
Caricimi, Rudimar
Hydraulic turbines
Multi-criteria decision making (MCDM)
Renewable energy
Small hydropower plant (SHP)
Analytic hierarchy process (AHP)
Fuzzy-VIKOR
Science & Technology
title_short Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
title_full Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
title_fullStr Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
title_full_unstemmed Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
title_sort Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
author Caricimi, Rudimar
author_facet Caricimi, Rudimar
Dranka, Géremi Gilson
Setti, Dalmarino
Ferreira, Paula Varandas
author_role author
author2 Dranka, Géremi Gilson
Setti, Dalmarino
Ferreira, Paula Varandas
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Caricimi, Rudimar
Dranka, Géremi Gilson
Setti, Dalmarino
Ferreira, Paula Varandas
dc.subject.por.fl_str_mv Hydraulic turbines
Multi-criteria decision making (MCDM)
Renewable energy
Small hydropower plant (SHP)
Analytic hierarchy process (AHP)
Fuzzy-VIKOR
Science & Technology
topic Hydraulic turbines
Multi-criteria decision making (MCDM)
Renewable energy
Small hydropower plant (SHP)
Analytic hierarchy process (AHP)
Fuzzy-VIKOR
Science & Technology
description Before selecting a proper hydraulic turbine for power generation, conflicting factors frequently emerge from the wide range of available technology alternatives. The preliminary selection of hydraulic turbines (PSHT) has been usually carried out by overlooking and/or overshadowing downstream and upstream processes. The development of a new conceptual framework that allows for including more parameters into the decision-making process at company levels is still required to avoid the danger of engaging in a one-dimensional approach, which would not only result in a reduced and simplistic vision of the choice but would also overlook the trade-offs between individual aspects and the possible unintended side-effects. This paper aims to provide empirical evidence for the PSHT by proposing a well-thought-out framework based on a mixed methodology approach (analytical hierarchy process (AHP) and fuzzy-VIKOR multi-criteria methods) and focused on small hydropower projects. A total of 16 criteria are proposed and divided into 4 main categories—(i) turbine performance, (ii) turbine and generator costs, (iii) other equipment costs, and (iv) civil costs. Findings reported here reveal a specific alignment between investors’ preferences and experts’ judgments with real market practices. The 16 proposed criteria can be further considered to support the decision-making process for PSHT in different head and flow conditions.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-08
2022-10-08T00:00:00Z
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://hdl.handle.net/1822/80813
url https://hdl.handle.net/1822/80813
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Caricimi, R.; Dranka, G.G.; Setti, D.; Ferreira, P. Reframing the Selection of Hydraulic Turbines Integrating Analytical Hierarchy Process (AHP) and Fuzzy VIKOR Multi-Criteria Methods. Energies 2022, 15, 7383. https://doi.org/10.3390/en15197383
1996-1073
10.3390/en15197383
7383
https://www.mdpi.com/1996-1073/15/19/7383
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 Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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
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