Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7850
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dc.contributor.authorNadi, Navilla Rahman-
dc.contributor.authorBingöl, Ferhattr
dc.contributor.authorBadger, Merete-
dc.date.accessioned2020-07-18T03:35:16Z-
dc.date.available2020-07-18T03:35:16Z-
dc.date.issued2019-
dc.identifier.isbn9781728134451-
dc.identifier.urihttps://doi.org/10.1109/ICASERT.2019.8934915-
dc.identifier.urihttps://hdl.handle.net/11147/7850-
dc.description1st International Conference on Advances in Science, Engineering and Robotics Technology, ICASERT 2019 -- 3 May 2019 through 5 May 2019en_US
dc.description.abstractThe objective of this paper is to obtain appropriate offshore location in the Bay of Bengal, Bangladesh for further development of wind energy. Through analyzing the previous published works, no offshore wind energy estimation has been found related to the Bay of Bengal. Therefore, this study can be claimed as the first footstep towards offshore wind energy analysis for this region. Generally, it is difficult to find offshore wind data relative to the wind turbine hub heights, thus a starting point is necessary to identify the possible wind power density of the region. In such scenario, Synthetic Aperture radars (SAR) have proven useful in previous studies. In this study, SAR based dataset- ENVISAT ASAR has been used for Wind Atlas generation of the Bay of Bengal. Furthermore, a comparative study has been performed with Global Wind Atlas (GWA) to determine a potential offshore wind farm production in a reasonable location at the bay. The annual energy production of that offshore windfarm has been analyzed by combining SAR, GWA and ASCAT datasets. Through ASAR based Wind Atlas and GWA comparison, some differences have been found where there are less samples from the ASAR datasets. Thus, Weibull statistical analysis are performed to have a better Weibull fitting and accurate estimation of Annual Energy production (AEP). The study summarizes that, satellite datasets can be a very useful method to detect potential zone if compared with any long time statistical result and bathymetry data together. © 2019 IEEE.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof1st International Conference on Advances in Science, Engineering and Robotics Technology 2019, ICASERT 2019en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectASARen_US
dc.subjectASCATen_US
dc.subjectOffshoreen_US
dc.subjectSatellite wind measurementsen_US
dc.subjectWeibull distributionen_US
dc.subjectWind Atlasen_US
dc.titleOffshore wind energy estimation in the bay of bengal with satellite wind measurementen_US
dc.typeConference Objecten_US
dc.institutionauthorBingöl, Ferhattr
dc.departmentİzmir Institute of Technology. Energy Systems Engineeringen_US
dc.identifier.scopus2-s2.0-85078066904en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıtr
dc.identifier.doi10.1109/ICASERT.2019.8934915-
dc.relation.doi10.1109/ICASERT.2019.8934915en_US
dc.coverage.doi10.1109/ICASERT.2019.8934915en_US
dc.identifier.wosqualityN/A-
dc.identifier.scopusqualityN/A-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.openairetypeConference Object-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept03.06. Department of Energy Systems Engineering-
Appears in Collections:Energy Systems Engineering / Enerji Sistemleri Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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