View in EDS HTML Full Text PDF Full Text

Wind farm resolution enhancing through meso-microscale coupled method with complex terrain.

Saved in:
Bibliographic Details
Title: Wind farm resolution enhancing through meso-microscale coupled method with complex terrain.
Authors: Yan, Runze1 (AUTHOR), Li, Hao2 (AUTHOR), Chen, Ming1 (AUTHOR), Deng, Hui2 (AUTHOR), Sun, Shanxun2 (AUTHOR) sunshanxun@jnu.edu.cn
Source: Wind Engineering. Jun2026, Vol. 50 Issue 3, p494-512. 19p.
Subjects: Multiscale modeling, Optimization algorithms, Large eddy simulation models, Numerical weather forecasting, Topography
Abstract: Accurate simulation of wind energy resources requires effective coupling of mesoscale and microscale models to resolve both atmospheric dynamics and site-specific turbine effects. However, scale mismatches often introduce significant errors into the modeling process. This study proposes a hierarchical meso-microscale coupled method that leverages the Wind Driven Optimization (WDO) algorithm to optimize dynamic inflow wind profiles derived from mesoscale WRF simulations. By improving the vertical distribution of wind speed at microscale inflow boundaries, the method enhances the physical consistency and accuracy of large-eddy simulations in complex terrain environments. Validation results show that WDO-Optimized profiles consistently outperform traditional polynomial and swarm-based methods in reducing velocity field errors across various temporal scales. This approach offers a robust and computationally efficient framework for improving wind field prediction accuracy, contributing to more reliable wind energy resource assessments and turbine layout planning in heterogeneous atmospheric conditions. [ABSTRACT FROM AUTHOR]
Copyright of Wind Engineering is the property of Sage Publications Inc. 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 194489427
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Wind farm resolution enhancing through meso-microscale coupled method with complex terrain.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yan%2C+Runze%22">Yan, Runze</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Hao%22">Li, Hao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Ming%22">Chen, Ming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deng%2C+Hui%22">Deng, Hui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Shanxun%22">Sun, Shanxun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> sunshanxun@jnu.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Wind+Engineering%22">Wind Engineering</searchLink>. Jun2026, Vol. 50 Issue 3, p494-512. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Multiscale+modeling%22">Multiscale modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Large+eddy+simulation+models%22">Large eddy simulation models</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+weather+forecasting%22">Numerical weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Topography%22">Topography</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Accurate simulation of wind energy resources requires effective coupling of mesoscale and microscale models to resolve both atmospheric dynamics and site-specific turbine effects. However, scale mismatches often introduce significant errors into the modeling process. This study proposes a hierarchical meso-microscale coupled method that leverages the Wind Driven Optimization (WDO) algorithm to optimize dynamic inflow wind profiles derived from mesoscale WRF simulations. By improving the vertical distribution of wind speed at microscale inflow boundaries, the method enhances the physical consistency and accuracy of large-eddy simulations in complex terrain environments. Validation results show that WDO-Optimized profiles consistently outperform traditional polynomial and swarm-based methods in reducing velocity field errors across various temporal scales. This approach offers a robust and computationally efficient framework for improving wind field prediction accuracy, contributing to more reliable wind energy resource assessments and turbine layout planning in heterogeneous atmospheric conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Wind Engineering is the property of Sage Publications Inc. 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=194489427
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/0309524X251387838
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 494
    Subjects:
      – SubjectFull: Multiscale modeling
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Large eddy simulation models
        Type: general
      – SubjectFull: Numerical weather forecasting
        Type: general
      – SubjectFull: Topography
        Type: general
    Titles:
      – TitleFull: Wind farm resolution enhancing through meso-microscale coupled method with complex terrain.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yan, Runze
      – PersonEntity:
          Name:
            NameFull: Li, Hao
      – PersonEntity:
          Name:
            NameFull: Chen, Ming
      – PersonEntity:
          Name:
            NameFull: Deng, Hui
      – PersonEntity:
          Name:
            NameFull: Sun, Shanxun
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 0309524X
          Numbering:
            – Type: volume
              Value: 50
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Wind Engineering
              Type: main
ResultId 1