Wind power plant site selection problem solution using GIS and resource assessment and analysis of wind energy potential by estimating Weibull distribution function for sustainable energy production: The case of Bitlis/ Turkey

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dc.authoridvan Sark, Wilfried/0000-0002-4738-1088
dc.contributor.authorRustemli, Sabir
dc.contributor.authorGuntas, Omer
dc.contributor.authorSahin, Gokhan
dc.contributor.authorKoc, Ahmet
dc.contributor.authorvan Sark, Wilfried
dc.contributor.authorDogan, Sulem Senyigit
dc.date.accessioned2025-02-22T14:09:02Z
dc.date.available2025-02-22T14:09:02Z
dc.date.issued2024
dc.departmentDicle Üniversitesien_US
dc.description.abstractWind energy, being a sustainable energy source, is a benign, dependable, limitless, and cost-effective source of energy. This study involved the creation of a wind power plant site selection map at a provincial scale using a GIS application. The map took into account both environmental risks and environmental criteria. A wind energy measurement station of the PCE-FWS 20 type, equipped with a touch screen, was installed in the Rahva campus of Bitlis Eren University. Over the course of one year, data on wind direction, wind speed, temperature, relative humidity, and air pressure were collected at 5-s intervals and averaged over 20-min periods. The purpose of this study was to assess the suitability of the measured region for wind energy potential. A comprehensive statistical analysis was conducted using all the data collected during this period to assess the wind energy potential in the studied region. The Weibull distribution was employed to analyse the wind energy potential of this particular region. We employed graphical techniques to ascertain the Weibull distribution. The wind data analysis and simulation were conducted using the Matlab application. Analysed were the monthly statistical wind energy potential of the region, wherein the average wind speed and power density values were determined and presented through graphs at 20-min intervals. Upon analyzing the map generated using the Geographical Information Systems (GIS) technique, it has been ascertained that Bitlis Eren University Rahva campus is located in favorable areas.en_US
dc.identifier.doi10.1016/j.esr.2024.101552
dc.identifier.issn2211-467X
dc.identifier.issn2211-4688
dc.identifier.scopus2-s2.0-85206261766en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.esr.2024.101552
dc.identifier.urihttps://hdl.handle.net/11468/29765
dc.identifier.volume56en_US
dc.identifier.wosWOS:001347567700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEnergy Strategy Reviewsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250222
dc.subjectWind power planten_US
dc.subjectWind speeden_US
dc.subjectWind directionen_US
dc.subjectSimulationen_US
dc.subjectWeilbull distributionen_US
dc.subjectGeographical information systems (GIS)en_US
dc.titleWind power plant site selection problem solution using GIS and resource assessment and analysis of wind energy potential by estimating Weibull distribution function for sustainable energy production: The case of Bitlis/ Turkeyen_US
dc.typeArticleen_US

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