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Analyzing wind turbine and wind farm outputs under dependence between wind speed and wind turbine availability.

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Title: Analyzing wind turbine and wind farm outputs under dependence between wind speed and wind turbine availability.
Authors: Kan, Cihangir1 (AUTHOR) Cihangir.Kan@xjtlu.edu.cn
Source: Journal of Computational & Applied Mathematics. Dec2024, Vol. 451, pN.PAG-N.PAG. 1p.
Subjects: Wind speed, Offshore wind power plants, Wind turbines, Wind power plants, Wind power
Abstract: In this work, we assess the power production of a single wind turbine and wind farm under probabilistic distributions where wind speed and wind turbine availability are dependent on each other. In our developments, the wind speed distribution is assumed to be discrete. Our method of finding the corresponding distributions is based on classical probabilistic techniques. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computational & Applied Mathematics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 178336597
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Analyzing wind turbine and wind farm outputs under dependence between wind speed and wind turbine availability.
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  Data: <searchLink fieldCode="AR" term="%22Kan%2C+Cihangir%22">Kan, Cihangir</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Cihangir.Kan@xjtlu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+%26+Applied+Mathematics%22">Journal of Computational & Applied Mathematics</searchLink>. Dec2024, Vol. 451, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Offshore+wind+power+plants%22">Offshore wind power plants</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+power+plants%22">Wind power plants</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: In this work, we assess the power production of a single wind turbine and wind farm under probabilistic distributions where wind speed and wind turbine availability are dependent on each other. In our developments, the wind speed distribution is assumed to be discrete. Our method of finding the corresponding distributions is based on classical probabilistic techniques. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Computational & Applied Mathematics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=178336597
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.cam.2024.116078
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Wind speed
        Type: general
      – SubjectFull: Offshore wind power plants
        Type: general
      – SubjectFull: Wind turbines
        Type: general
      – SubjectFull: Wind power plants
        Type: general
      – SubjectFull: Wind power
        Type: general
    Titles:
      – TitleFull: Analyzing wind turbine and wind farm outputs under dependence between wind speed and wind turbine availability.
        Type: main
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          Name:
            NameFull: Kan, Cihangir
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          Dates:
            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 03770427
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            – Type: volume
              Value: 451
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            – TitleFull: Journal of Computational & Applied Mathematics
              Type: main
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