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

## TL;DR

This study provides detailed wind tunnel data on airflow in a scaled model of an asymmetric dairy barn to improve computer models for ventilation and emission analysis.

## Contribution

The paper introduces high-resolution airflow datasets for validating and refining CFD models in naturally ventilated livestock buildings.

## Key findings

- Datasets include 233 measurement positions for airflow and turbulence inside and outside the barn model.
- LDA system ensured robust statistical analysis of air velocity measurements.
- The data supports validation of CFD models for ventilation and emission estimation.

## 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.