Experimental and numerical analysis of thermal comfort in high-geothermal tunnel rest rooms

In high-geothermal tunnel construction, rest rooms play a critical role in safeguarding workers’ health and operational safety. To elucidate the thermal comfort characteristics of these spaces, a comprehensive questionnaire survey was administered to 1,478 construction workers at a tunnel site in Linzhi, Tibet. The study systematically analyzed the disparity between Predicted Mean Vote (PMV) values and workers’ subjective thermal sensations, thereby establishing the thermal comfort zone and identifying an optimal temperature range of 22.0°C–26.0°C for rest rooms. Furthermore, through secondary development of ANSYS Fluent software, correlations between PMV, Predicted Percentage Dissatisfied (PPD), and a thermal comfort index (DR) were investigated across varying indoor environmental parameters. Key findings reveal that peak thermal comfort is attained at a fan speed of 2.5 m/s and an air supply angle of 75°. Notably, this study pioneers the integration of field-collected subjective data with computational fluid dynamics (CFD) simulations to refine environmental design guidelines for high-geothermal tunnel rest rooms. The proposed framework not only enhances workers’ operational comfort but also provides a replicable methodology for optimizing rest room configurations in extreme thermal environments.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-05-09
DOI
https://doi.org/10.1016/j.csite.2025.106308
Citations
2
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
2.01

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article

Experimental and numerical analysis of thermal comfort in high-geothermal tunnel rest rooms

Liufeng Su, Qixiang Yan, Erli Wang, Yunfeng Cui et al.
2 citations
Case Studies in Thermal Engineering
Building Energy and Comfort Optimization
2.01
article

Experimental and numerical analysis of thermal comfort in high-geothermal tunnel rest rooms

Liufeng Su, Qixiang Yan, Erli Wang, Yunfeng Cui, Chuan Zhang, Zhengyu Xiong
article en
2 citations

Abstract

In high-geothermal tunnel construction, rest rooms play a critical role in safeguarding workers’ health and operational safety. To elucidate the thermal comfort characteristics of these spaces, a comprehensive questionnaire survey was administered to 1,478 construction workers at a tunnel site in Linzhi, Tibet. The study systematically analyzed the disparity between Predicted Mean Vote (PMV) values and workers’ subjective thermal sensations, thereby establishing the thermal comfort zone and identifying an optimal temperature range of 22.0°C–26.0°C for rest rooms. Furthermore, through secondary development of ANSYS Fluent software, correlations between PMV, Predicted Percentage Dissatisfied (PPD), and a thermal comfort index (DR) were investigated across varying indoor environmental parameters. Key findings reveal that peak thermal comfort is attained at a fan speed of 2.5 m/s and an air supply angle of 75°. Notably, this study pioneers the integration of field-collected subjective data with computational fluid dynamics (CFD) simulations to refine environmental design guidelines for high-geothermal tunnel rest rooms. The proposed framework not only enhances workers’ operational comfort but also provides a replicable methodology for optimizing rest room configurations in extreme thermal environments.

Case Studies in Thermal EngineeringVol. 72
Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 15%
Building Energy and Comfort Optimization
2.01
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