Investigation of the Best Possible Methods for Wind Turbine Blade Waste Management by Using Gis and Fahp: Turkey Case

dc.contributor.author Öztürk, Samet
dc.contributor.author Karipoğlu, Fatih
dc.date.accessioned 2023-01-26T13:23:55Z
dc.date.available 2023-01-26T13:23:55Z
dc.date.issued 2022
dc.description.abstract The aim of this study is to present the status and projections of wind turbine blade retirement in Turkey; to investigate the number of retiring WT blades in the regional, manufacturer, and material aspects; and to discuss the management methods for retired WT blades. To determine the best possible wind turbine blade waste management methods for Turkey, a combined application of Geographical Information Systems (GIS) and the Fuzzy Analytical Hierarchy Process (FAHP) is used in this study. It is found that around nine thousand WT blades will become waste between 2020 and 2039 in Turkey, corresponding to around 80,500 tons of waste. On average, 52,325 tons of glass/carbon and 28,175 tons of polymers will be accumulated between 2020 and 2039 from wind turbine blades. More than half of the WT blade waste will come from two WT manufacturers, namely, Enercon and Nordex. Aegean and Marmara regions will provide 74% of the blade waste, where 33% of them will be 2 MW and 2.5 MW sizes of WT blades. Furthermore, a case study is applied to Izmir city to demonstrate the results of FAHP for finding the best available method to dispose of WT blades. The results show that using blade waste as filling material is the best alternative, while waste-to-energy is the last favorable option for blade waste management. Finally, sensitivity analyses are applied to demonstrate the robustness of the results for the inclusion of new alternatives and the bias of experts’ judgments. en_US
dc.identifier.doi 10.1007/s11356-022-23256-6
dc.identifier.issn 0944-1344 en_US
dc.identifier.issn 0944-1344
dc.identifier.issn 1614-7499
dc.identifier.scopus 2-s2.0-85139152653
dc.identifier.uri https://doi.org/10.1007/s11356-022-23256-6
dc.identifier.uri https://hdl.handle.net/11147/12816
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Environmental Science and Pollution Research en_US
dc.rights info:eu-repo/semantics/embargoedAccess en_US
dc.subject FAHP en_US
dc.subject Geographic Information System (GIS) en_US
dc.subject Wind turbine blade waste en_US
dc.title Investigation of the Best Possible Methods for Wind Turbine Blade Waste Management by Using Gis and Fahp: Turkey Case en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0002-3314-134X
gdc.author.id 0000-0002-3314-134X en_US
gdc.author.institutional Karipoğlu, Fatih
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access embargoed access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Energy Systems Engineering en_US
gdc.description.endpage 15033
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 15020
gdc.description.volume 30
gdc.description.wosquality Q1
gdc.identifier.openalex W4297327224
gdc.identifier.pmid 36168016
gdc.identifier.wos WOS:000860427500022
gdc.index.type WoS
gdc.index.type Scopus
gdc.index.type PubMed
gdc.oaire.diamondjournal false
gdc.oaire.impulse 13.0
gdc.oaire.influence 3.0280451E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Turkey
gdc.oaire.keywords Waste Management
gdc.oaire.keywords Geographic Information Systems
gdc.oaire.keywords Analytic Hierarchy Process
gdc.oaire.popularity 1.2524007E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 3.00734933
gdc.openalex.normalizedpercentile 0.9
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 12
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 20
gdc.plumx.scopuscites 12
gdc.scopus.citedcount 12
gdc.wos.citedcount 11
relation.isAuthorOfPublication.latestForDiscovery 5b51a720-3bd1-4c1b-90ca-22ccbe0a3f93
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4017-8abe-a4dfe192da5e

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