Bilgilendirme: Kurulum ve veri kapsamındaki çalışmalar devam etmektedir. Göstereceğiniz anlayış için teşekkür ederiz.
 

Finding the Most Suitable Existing Irrigation Dams for Small Hydropower Development in Turkey: a Gis-Fuzzy Logic Tool

dc.contributor.author Al Bayat, Omar
dc.contributor.author Maras, H. Hakan
dc.contributor.author Kucukali, Serhat
dc.date.accessioned 2022-04-25T12:24:58Z
dc.date.accessioned 2025-09-18T15:43:56Z
dc.date.available 2022-04-25T12:24:58Z
dc.date.available 2025-09-18T15:43:56Z
dc.date.issued 2021
dc.description Al-Bayati, Omar/0000-0002-7644-7162 en_US
dc.description.abstract This paper enables a screening of existing irrigation dams in order to assess and rank potential sites for small hydropower development by using a Geographic Information System (GIS)-fuzzy logic multi criteria scoring technique. The following criteria are evaluated: dam characteristics (reservoir normal level, reservoir capacity, dam purpose, dam ageing), and grid connection spatial characteristics. The proposed method estimates the suitability degree of each criterion separately and then aggregates them into a Site Suitability Index (SSI). Existing irrigation dams in Turkey are assessed in order to be utilized for hydropower development. The overall score of each candidate site is obtained and, their performance is compared for different strategies. One of the most suitable dams, Karadere, was chosen as a case study. By using the daily continuous monitored data, we showed that flow and head is highly variable during the irrigation season. Accordingly, we evaluated an innovative compact medium-head hydro turbine that can capture those fluctuations with its operational flexibility and minimal civil works. Moreover, an optimal path methodology was applied to find the best grid connection route from the dam to its nearest substation considering the site land use characteristics in order to minimize land expropriation. (c) 2021 Elsevier Ltd. All rights reserved. en_US
dc.identifier.citation Küçükali, serhat; Al Bayatı, Omar; Maraş, H. Hakan (2021). "Finding the most suitable existing irrigation dams for small hydropower development in Turkey: A GIS-Fuzzy logic tool", Renewable Energy, Vol. 172, pp. 633-650. en_US
dc.identifier.doi 10.1016/j.renene.2021.03.049
dc.identifier.issn 0960-1481
dc.identifier.issn 1879-0682
dc.identifier.scopus 2-s2.0-85103120607
dc.identifier.uri https://doi.org/10.1016/j.renene.2021.03.049
dc.identifier.uri https://hdl.handle.net/20.500.12416/14061
dc.language.iso en en_US
dc.publisher Pergamon-elsevier Science Ltd en_US
dc.relation.ispartof Renewable Energy
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Irrigation Dams en_US
dc.subject Small Hydropower en_US
dc.subject Gis en_US
dc.subject Fuzzy Multi-Criteria Decision Making en_US
dc.subject Turkey en_US
dc.title Finding the Most Suitable Existing Irrigation Dams for Small Hydropower Development in Turkey: a Gis-Fuzzy Logic Tool en_US
dc.title Finding the most suitable existing irrigation dams for small hydropower development in Turkey: A GIS-Fuzzy logic tool tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Al-Bayati, Omar/0000-0002-7644-7162
gdc.author.scopusid 6504239195
gdc.author.scopusid 57222539450
gdc.author.scopusid 56875440000
gdc.author.wosid Maras, Hakan/G-1236-2017
gdc.author.yokid 20413
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Kucukali, Serhat] Hacettepe Univ, Dept Civil Engn, Ankara, Turkey; [Al Bayat, Omar; Maras, H. Hakan] Cankaya Univ, Dept Comp Engn, Ankara, Turkey en_US
gdc.description.endpage 650 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 633 en_US
gdc.description.volume 172 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W3139138547
gdc.identifier.wos WOS:000641148600001
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 9.0
gdc.oaire.influence 3.2841216E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 9.19845E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 1.6978
gdc.openalex.normalizedpercentile 0.82
gdc.opencitations.count 11
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 44
gdc.plumx.scopuscites 9
gdc.publishedmonth 7
gdc.scopus.citedcount 10
gdc.virtual.author Maraş, Hadi Hakan
gdc.virtual.author Küçükali, Serhat
gdc.wos.citedcount 4
relation.isAuthorOfPublication 8c98bd6c-e698-4f0e-8c8b-ab2fb09ee9ab
relation.isAuthorOfPublication 75854ffa-126d-4917-b302-5e40883e0878
relation.isAuthorOfPublication.latestForDiscovery 8c98bd6c-e698-4f0e-8c8b-ab2fb09ee9ab
relation.isOrgUnitOfPublication 12489df3-847d-4936-8339-f3d38607992f
relation.isOrgUnitOfPublication 77a9f192-0d56-4f8e-adf2-a1c91a7124c9
relation.isOrgUnitOfPublication 43797d4e-4177-4b74-bd9b-38623b8aeefa
relation.isOrgUnitOfPublication 0b9123e4-4136-493b-9ffd-be856af2cdb1
relation.isOrgUnitOfPublication.latestForDiscovery 12489df3-847d-4936-8339-f3d38607992f

Files