Offshore Wind Energy Estimation in the Bay of Bengal With Satellite Wind Measurement

dc.contributor.author Nadi, Navilla Rahman
dc.contributor.author Badger, Merete
dc.contributor.author Bingöl, Ferhat
dc.coverage.doi 10.1109/ICASERT.2019.8934915
dc.date.accessioned 2020-07-18T03:35:16Z
dc.date.available 2020-07-18T03:35:16Z
dc.date.issued 2019
dc.description 1st International Conference on Advances in Science, Engineering and Robotics Technology, ICASERT 2019 -- 3 May 2019 through 5 May 2019 en_US
dc.description.abstract The 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.identifier.doi 10.1109/ICASERT.2019.8934915
dc.identifier.isbn 9781728134451
dc.identifier.scopus 2-s2.0-85078066904
dc.identifier.uri https://doi.org/10.1109/ICASERT.2019.8934915
dc.identifier.uri https://hdl.handle.net/11147/7850
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof 1st International Conference on Advances in Science, Engineering and Robotics Technology 2019, ICASERT 2019 en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject ASAR en_US
dc.subject ASCAT en_US
dc.subject Offshore en_US
dc.subject Satellite wind measurements en_US
dc.subject Weibull distribution en_US
dc.subject Wind Atlas en_US
dc.title Offshore Wind Energy Estimation in the Bay of Bengal With Satellite Wind Measurement en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Bingöl, Ferhat
gdc.bip.impulseclass C5
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gdc.coar.access open access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Energy Systems Engineering en_US
gdc.description.endpage 8
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
gdc.description.wosquality N/A
gdc.identifier.openalex W2996405516
gdc.index.type Scopus
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gdc.oaire.downloads 0
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gdc.oaire.influence 2.635068E-9
gdc.oaire.isgreen true
gdc.oaire.keywords ASCAT
gdc.oaire.keywords Wind Atlas
gdc.oaire.keywords Weibull distribution
gdc.oaire.keywords Offshore
gdc.oaire.keywords ASAR
gdc.oaire.keywords Satellite wind measurements
gdc.oaire.popularity 1.464577E-9
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gdc.oaire.sciencefields 0401 agriculture, forestry, and fisheries
gdc.oaire.sciencefields 04 agricultural and veterinary sciences
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
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gdc.plumx.mendeley 14
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