Reframing the selection of hydraulic turbines integrating analytical hierarchy process (AHP) and fuzzy VIKOR multi-criteria methods
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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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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1799132659331366912 |