Feasibility study of wind energy potential in Turkey: case study of Catalca district in Istanbul

dc.authorscopusid57193868250
dc.authorscopusid25653617000
dc.authorscopusid6603175851
dc.authorscopusid57193870627
dc.authorscopusid56826062200
dc.contributor.authorWadi, Mohammed
dc.contributor.authorKekezoglu, Bedri
dc.contributor.authorBaysal, Mustafa
dc.contributor.authorTur, Mehmet Rida
dc.contributor.authorShobole, Abdulfetah
dc.contributor.authorWadi, Mohammed
dc.contributor.authorShobole, Abdulfetah Abdela
dc.date.accessioned2020-12-20T06:50:04Z
dc.date.available2020-12-20T06:50:04Z
dc.date.issued2019
dc.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.descriptionQatar General Electricity and Water Corporation (KAHRAMAA);Qatar National Research Fund (QNRF);Texas A and M University at Qataren_US
dc.description2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 -- 19 November 2019 through 21 November 2019 -- -- 158292en_US
dc.description.abstractThis paper presents a technical evaluation of the wind potential for the present and the future integration challenges into the Turkey power network. The first part evaluates the feasibility of sites, installments, operation and maintenance. The second part investigates the wind energy integration in the Turkey power network. To determine the potential availability of wind energy in Turkey, feasibility evaluation based on the hourly measured wind speed data for the three years 2008-2010 at 30 m height in Çatalca district is done. These data were obtained from the national meteorology station in Istanbul - the Republic of Turkey are analyzed in order to evaluate the feasibility of wind power potential and to assure supreme assortment of wind turbines installing for the area of interest. Furthermore, the data are extrapolated and analyzed at 60 m and 80 m regarding the variability of the roughness factor. Weibull bi-parameter probability function is used to approximate monthly and annual wind potential and power density based on three calculation methods, namely, the approximated, the graphical and the energy pattern factor methods. The annual mean wind power densities were to be 400.31, 540.08 and 611.02 W/m2 for 30, 60, and 80 m heights respectively. Simulation results prove that the analyzed area is an appropriate place for constructing large-scale wind farms. Key words: wind energy, wind speed, wind turbines, feasibility study. © 2019 IEEE.en_US
dc.identifier.citationWadi, M., Kekezoglu, B., Baysal, M., Tur, M. R., & Shobole, A.. (2019). Feasibility Study of Wind Energy Potential in Turkey: Case Study of Catalca District in Istanbul. https://doi.org/10.1109/sgre46976.2019.9021102
dc.identifier.doi10.1109/SGRE46976.2019.9021102
dc.identifier.isbn9781728129600
dc.identifier.orcidMohammed Wadi |0000-0001-8928-3729
dc.identifier.orcidAbdulfetah Shobole |0000-0002-3180-6504
dc.identifier.orcidMehmet Rida Tur |0000-0001-5688-4624
dc.identifier.orcidMustafa Baysal |0000-0002-6298-918X
dc.identifier.scopus2-s2.0-85082307374
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SGRE46976.2019.9021102
dc.identifier.urihttps://hdl.handle.net/20.500.12436/1908
dc.indekslendigikaynakScopus
dc.institutionauthorWadi, Mohammed
dc.institutionauthorShobole, Abdulfetah
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWind energyen_US
dc.subjectWind speed
dc.subjectWind turbines
dc.subjectFeasibility study
dc.titleFeasibility study of wind energy potential in Turkey: case study of Catalca district in Istanbulen_US
dc.typeConference Object
dspace.entity.typePublication
relation.isAuthorOfPublicatione57e2394-09f4-4128-bdb4-84c708867a9f
relation.isAuthorOfPublication4fd5b879-7f50-4336-a18f-5f6e6c324855
relation.isAuthorOfPublication.latestForDiscoverye57e2394-09f4-4128-bdb4-84c708867a9f

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