Boundary layer wind tunnel measurement datasets of airflow study in an asymmetric naturally ventilated livestock building

This data article presents high-resolution airflow and turbulence measurements obtained in and around a 1:50 scaled asymmetric dairy barn model using a boundary layer wind tunnel. The datasets are organized into two categories: (1) measurement data of boundary layer profile in the empty wind tunnel to assess flow stability, Reynolds number independence, and characterize vertical wind profile, and (2) airflow measurements at a cross-sectional plane inside and outside of the scaled model under the established boundary layer, comprising a total of 233 measurement positions. All air velocity measurements were acquired using a two-dimensional Laser Doppler Anemometry (LDA) system to ensure a sufficiently long sampling duration for robust statistical analysis. The datasets are primarily designed for validation and refinement of computational fluid dynamics (CFD) models as an essential step prior to following CFD applications. A validated CFD model can then be employed to estimate airflow and emission. Therefore, those datasets provide pivotal references for numerical modelling, and are valuable for further investigations of wind-driven ventilation performance as well as emission characterization in naturally-ventilated livestock buildings.

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Publication Details

Journal
Data in Brief
Published
2026-02-14
DOI
https://doi.org/10.1016/j.dib.2026.112592
Primary Topic
Wind and Air Flow Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Boundary layer wind tunnel measurement datasets of airflow study in an asymmetric naturally ventilated livestock building

Thomas Amon, Lars Thormann, Qianying Yi, Long Chen et al.
Data in Brief
Wind and Air Flow Studies
article

Boundary layer wind tunnel measurement datasets of airflow study in an asymmetric naturally ventilated livestock building

Thomas Amon, Lars Thormann, Qianying Yi, Long Chen, David Janke
article en

Abstract

This data article presents high-resolution airflow and turbulence measurements obtained in and around a 1:50 scaled asymmetric dairy barn model using a boundary layer wind tunnel. The datasets are organized into two categories: (1) measurement data of boundary layer profile in the empty wind tunnel to assess flow stability, Reynolds number independence, and characterize vertical wind profile, and (2) airflow measurements at a cross-sectional plane inside and outside of the scaled model under the established boundary layer, comprising a total of 233 measurement positions. All air velocity measurements were acquired using a two-dimensional Laser Doppler Anemometry (LDA) system to ensure a sufficiently long sampling duration for robust statistical analysis. The datasets are primarily designed for validation and refinement of computational fluid dynamics (CFD) models as an essential step prior to following CFD applications. A validated CFD model can then be employed to estimate airflow and emission. Therefore, those datasets provide pivotal references for numerical modelling, and are valuable for further investigations of wind-driven ventilation performance as well as emission characterization in naturally-ventilated livestock buildings.

Data in BriefVol. 65
Institute of Medical Microbiology and Hygiene (DE), Leibniz Institute for Agricultural Engineering and Bioeconomy (DE), Istanbul Technical University (TR)
Bundesamt für Landwirtschaft
Openalex Percentile: Top 61%
Wind and Air Flow Studies
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Boundary layer wind tunnel measurement datasets of airflow study in an asymmetric naturally ventilated livestock building — Thomas Amon, Lars Thormann, et al. · Data in Brief (2026) | TGRS Research Map | TGRS