Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River

Detalhes bibliográficos
Autor(a) principal: Bnoussaad, Ayman
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/134513
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson RiverHydrokinetic powerHudson RiverHydrokinetic turbineIn-stream-hydro systemPerennial tributariesGISMulti-Criteria analysisSDG 7 - Affordable and clean energyDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesThe energy of water flowing through rivers 24/7 is one of the most reliable constant forms of clean energy available nowadays, and the potential of hydrokinetic power exploitation is rapidly growing. In this project we have set a framework that traces the hydrological network of the Hudson River, combine the available data on and around the region, considering the physical aspect of the stream; bathymetry and power density, the environmental aspect; protected and critical areas, and the socioeconomic aspect; accessibility and proximity to populated regions, and eventually pick the installation sites of the Hydrokinetic turbines over the stream. Moreover, we were able to explicate the parallels between the different approaches for this same purpose, bringing their differences into relief, while selecting the methodology that best fits the nature of our study. This project is a conceptual framework for articulating experimental guidelines to this state-of-the-art technology of river Hydrokinetic energy converters, to ultimately help decision makers consider more sustainable projects like In-stream-hydro systems as a practical support for the electrical grid, to aid secluded communities, and those surrounding old dammed structures recover. The ultimate goal is to obtain enough energy from clean power sources while making sure that the impact of these energy resources on the environment, economy and society is reduced methodically. The results revealed that: It is possible to effectively take in consideration different aspects iv (physical, environmental, and socioeconomical) that affect the deployment strategy of the turbines’ locations. Selecting the regions over the Hudson River, with the highest potential can be done with more than one method, (the weighted overlay method gave the best results). The picked-out sites of both methods designate regions where high-velocity streams were located, with over 5 meters depth, proximity to populated areas, access to the road network and electrical grid, while maintaining proper distance from the environmental sensitive and protected areas. The validation of these suitable locations however needs further on-site assessment. Although river flow is considerably slower than tides and ocean currents, when the river is perennial (continuous baseflow throughout the year), or have perennial tributaries (free flowing stream that discharges into the main river channel), it provides constant energy flow that can be harnessed using the power turbines, all year long. This project establishes the significance of incorporating different themes in pinpointing the suitable locations, using solely a GIS-based multi-Criteria analysis approach (MCA), without relying on any other equipment. And it is feasible as long as the necessary data is available.Cabral, Pedro da Costa BritoGould, MichaelPainho, Marco Octávio TrindadeRUNBnoussaad, Ayman2022-03-15T16:25:21Z2022-03-022022-03-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134513TID:202964310enginfo: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:RCAAP2024-03-11T05:12:58Zoai:run.unl.pt:10362/134513Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:09.074085Repositório 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 Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River
title Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River
spellingShingle Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River
Bnoussaad, Ayman
Hydrokinetic power
Hudson River
Hydrokinetic turbine
In-stream-hydro system
Perennial tributaries
GIS
Multi-Criteria analysis
SDG 7 - Affordable and clean energy
title_short Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River
title_full Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River
title_fullStr Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River
title_full_unstemmed Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River
title_sort Multicriteria Suitability modeling for in-river hydrokinetic turbines: Case of the Hudson River
author Bnoussaad, Ayman
author_facet Bnoussaad, Ayman
author_role author
dc.contributor.none.fl_str_mv Cabral, Pedro da Costa Brito
Gould, Michael
Painho, Marco Octávio Trindade
RUN
dc.contributor.author.fl_str_mv Bnoussaad, Ayman
dc.subject.por.fl_str_mv Hydrokinetic power
Hudson River
Hydrokinetic turbine
In-stream-hydro system
Perennial tributaries
GIS
Multi-Criteria analysis
SDG 7 - Affordable and clean energy
topic Hydrokinetic power
Hudson River
Hydrokinetic turbine
In-stream-hydro system
Perennial tributaries
GIS
Multi-Criteria analysis
SDG 7 - Affordable and clean energy
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2022
dc.date.none.fl_str_mv 2022-03-15T16:25:21Z
2022-03-02
2022-03-02T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/134513
TID:202964310
url http://hdl.handle.net/10362/134513
identifier_str_mv TID:202964310
dc.language.iso.fl_str_mv eng
language eng
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.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
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