View in EDS HTML Full Text PDF Full Text

CFD simulation and wind loads evaluation on wind turbine blades in mountainous terrain under thunderstorm downbursts.

Saved in:
Bibliographic Details
Title: CFD simulation and wind loads evaluation on wind turbine blades in mountainous terrain under thunderstorm downbursts.
Authors: Ji, Baifeng1,2 (AUTHOR) jbfeng@whut.edu.cn, Chen, Changkun2 (AUTHOR), Zhong, Kuanwei3 (AUTHOR) zhongkuanwei@163.com, Xu, Haiwei4 (AUTHOR), Yin, Xu5 (AUTHOR), Ye, Fan5 (AUTHOR)
Source: International Journal of Green Energy. 2025, Vol. 22 Issue 14, p3234-3254. 21p.
Subject Terms: *Wind turbine blades, *Mountain ecology, Computational fluid dynamics, Structural reliability, Wind pressure, Microbursts, Numerical analysis
Abstract: Downbursts are serious threat to the structural safety of wind turbines during thunderstorm season. This work develops and validates a CFD based numerical model to analyze the wind load characteristics of wind turbine blades in mountainous terrain under thunderstorm downbursts. Additionally, the impacts of wind turbine installation position and operation state are investigated on the blade loading characteristics of wind turbines, and the distribution characteristics of wind turbine blade loading along the spanwise direction of the blade are numerically analyzed in detail. The results show that blade loads on the windward side of the mountain are reduced by the downburst, while the blade loads on the leeward side of the mountain may reach up to 2.9 times larger than that in the flat terrain. Besides, the rotating blade load is larger than the stationary one in the downburst, and the difference in horizontal thrust is up to 3.9 times in the flat terrain and 4.3 times in the mountainous terrain. The middle and tip regions of the blade are the main loaded and wind-sensitive regions under downburst. This work may provide theoretical guidance for evaluation and optimization of the wind turbine blades under downburst. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Green Energy is the property of Taylor & Francis Ltd 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: GreenFILE
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: 8gh
DbLabel: GreenFILE
An: 188425133
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: CFD simulation and wind loads evaluation on wind turbine blades in mountainous terrain under thunderstorm downbursts.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ji%2C+Baifeng%22">Ji, Baifeng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> jbfeng@whut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Changkun%22">Chen, Changkun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhong%2C+Kuanwei%22">Zhong, Kuanwei</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> zhongkuanwei@163.com</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Haiwei%22">Xu, Haiwei</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yin%2C+Xu%22">Yin, Xu</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ye%2C+Fan%22">Ye, Fan</searchLink><relatesTo>5</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Green+Energy%22">International Journal of Green Energy</searchLink>. 2025, Vol. 22 Issue 14, p3234-3254. 21p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Wind+turbine+blades%22">Wind turbine blades</searchLink><br />*<searchLink fieldCode="DE" term="%22Mountain+ecology%22">Mountain ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+reliability%22">Structural reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+pressure%22">Wind pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Microbursts%22">Microbursts</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Downbursts are serious threat to the structural safety of wind turbines during thunderstorm season. This work develops and validates a CFD based numerical model to analyze the wind load characteristics of wind turbine blades in mountainous terrain under thunderstorm downbursts. Additionally, the impacts of wind turbine installation position and operation state are investigated on the blade loading characteristics of wind turbines, and the distribution characteristics of wind turbine blade loading along the spanwise direction of the blade are numerically analyzed in detail. The results show that blade loads on the windward side of the mountain are reduced by the downburst, while the blade loads on the leeward side of the mountain may reach up to 2.9 times larger than that in the flat terrain. Besides, the rotating blade load is larger than the stationary one in the downburst, and the difference in horizontal thrust is up to 3.9 times in the flat terrain and 4.3 times in the mountainous terrain. The middle and tip regions of the blade are the main loaded and wind-sensitive regions under downburst. This work may provide theoretical guidance for evaluation and optimization of the wind turbine blades under downburst. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Green Energy is the property of Taylor & Francis Ltd 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=8gh&AN=188425133
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/15435075.2025.2496916
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 3234
    Subjects:
      – SubjectFull: Wind turbine blades
        Type: general
      – SubjectFull: Mountain ecology
        Type: general
      – SubjectFull: Computational fluid dynamics
        Type: general
      – SubjectFull: Structural reliability
        Type: general
      – SubjectFull: Wind pressure
        Type: general
      – SubjectFull: Microbursts
        Type: general
      – SubjectFull: Numerical analysis
        Type: general
    Titles:
      – TitleFull: CFD simulation and wind loads evaluation on wind turbine blades in mountainous terrain under thunderstorm downbursts.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ji, Baifeng
      – PersonEntity:
          Name:
            NameFull: Chen, Changkun
      – PersonEntity:
          Name:
            NameFull: Zhong, Kuanwei
      – PersonEntity:
          Name:
            NameFull: Xu, Haiwei
      – PersonEntity:
          Name:
            NameFull: Yin, Xu
      – PersonEntity:
          Name:
            NameFull: Ye, Fan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 15435075
          Numbering:
            – Type: volume
              Value: 22
            – Type: issue
              Value: 14
          Titles:
            – TitleFull: International Journal of Green Energy
              Type: main
ResultId 1