Simulation of the influence of wind velocities and direction on heat exchange in local segments of the human body in disaster environments

Yingru LU, Shanshan ZHANG, Jie YANG

Journal of Tsinghua University(Science and Technology) ›› 2026, Vol. 66 ›› Issue (9) : 1773-1781.

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Journal of Tsinghua University(Science and Technology) ›› 2026, Vol. 66 ›› Issue (9) : 1773-1781. DOI: 10.16511/j.cnki.qhdxxb.2026.27.040
Public Safety

Simulation of the influence of wind velocities and direction on heat exchange in local segments of the human body in disaster environments

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Abstract

Objective: Heat strain and skin burn injuries severely affect the health of emergency rescue personnel and reduce their rescue efficiency in disaster environments. Predicting these injuries is thus a crucial aspect of early warning approaches. Furthermore, the heat transfer coefficient, influenced by factors such as wind velocity and wind direction, is a critical input for simulations of heat transfer, heat strain, and skin burn injuries. To improve the health and safety of emergency rescue personnel, a comprehensive understanding of the effects of wind velocity and wind direction on the heat transfer coefficient across different body segments is essential. Methods: First, a three-dimensional body scanning technique was applied to obtain a numerical thermal manikin, based on a 20-zone thermal manikin named "Newton" (including the head, face, chest, stomach, shoulders, back, thighs, calves, feet, forearms, hands, hips, and upper arms). Subsequently, a numerical climate chamber measuring 5 m × 2.7 m × 3 m was developed, with the numerical thermal manikin placed at the center. Second, the angle between the numerical manikin and the inlet was adjusted to set five wind directions (0°, 45°, 90°, 135°, and 180°), and eight wind velocities (0.2, 1.0, 2.0, 4.0, 8.0, 12.0, 16.0, and 20.0 m/s) were used in the numerical simulation. Third, heat transfer and airflow were simulated using software based on the finite volume method, and the whole-body and local convective heat transfer coefficients were calculated under various wind directions and wind velocities. Finally, the simulation performance for heat transfer and the convective heat transfer coefficient was validated against experimental measurements and simulations in the literature. Results: The results indicated that dry heat transfer increased with wind velocity, with total heat transfer increasing by 17.74 times when wind velocity rose from 0.2 to 20.0 m/s. Moreover, the corresponding ratio of convection to dry heat transfer increased by 42.6%. By contrast, wind direction had a negligible effect on whole-body convective heat transfer but showed large differences among body segments. Specifically, the convective heat transfer coefficient at the torso was considerably higher than that at the four limbs (upper arms, forearms, thighs, and calves). At a wind direction of 0° and an wind velocity of 16.0 m/s, compared with the right limb, the convective heat transfer coefficient at the left upper arm, left forearm, left thigh, and left lower leg decreased by 21.1, 25.1, 9.1, and 10.8 W/(m2·℃), respectively. Conclusions: The convective heat transfer varied greatly across body segments, with the hands exhibiting the highest convective heat transfer coefficient in all cases. Specifically, the difference in convective heat transfer coefficient among body segments was amplified by wind velocity. The simulated convective heat transfer coefficients under different wind velocities and wind directions can serve as inputs for human thermoregulation models, heat strain evaluations, and skin burn injury assessments. Subsequently, these outputs can provide fundamental knowledge for developing early safety warning systems, high-performance personal protective clothing, and decision-making tools for rescue personnel during rescue operations.

Key words

personal protection / CFD simulation / numerical manikin model / convective heat transfer coefficient / wind velocity / wind direction

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Yingru LU , Shanshan ZHANG , Jie YANG. Simulation of the influence of wind velocities and direction on heat exchange in local segments of the human body in disaster environments[J]. Journal of Tsinghua University(Science and Technology). 2026, 66(9): 1773-1781 https://doi.org/10.16511/j.cnki.qhdxxb.2026.27.040

References

1
杨杰. 基于人体-服装-环境的高温人体热反应模拟与实验研究[D]. 北京: 清华大学, 2016.
YANG J. Numerical and experimental study on physiological response in hot environment based on human-clothing-environment system[D]. Beijing: Tsinghua University, 2016. (in Chinese)
2
张珊珊, 杨杰. 风速与风向对人体热交换影响的CFD仿真模拟[J]. 安全与环境工程, 2024, 31(2): 129- 136.
ZHANG S S, YANG J. Computational fluid dynamics numerical simulation of the heat transfer for the human body under various wind velocities and wind directions[J]. Safety and Environmental Engineering, 2024, 31(2): 129- 136.
3
MA Z H, ZHAO D L, WANG F M, et al. A novel thermal comfort and energy saving evaluation model for radiative cooling and heating textiles[J]. Energy and Buildings, 2022, 258, 111842.
4
SU Y, ZHAO M X, ZHANG H, et al. Numerical study of human thermal comfort in changing environments of high and low temperature[J]. Building and Environment, 2024, 252, 111228.
5
YANG J, NI S J, WENG W G. Modelling heat transfer and physiological responses of unclothed human body in hot environment by coupling CFD simulation with thermal model[J]. International Journal of Thermal Sciences, 2017, 120, 437- 445.
6
WENG W G, YANG J, WU J L, et al. Human thermoregulation and injury evaluation in fire environments: A review[J]. Fire Technology, 2024, 60(2): 991- 1025.
7
YANG J, SU Y, SONG G W, et al. A new approach to predict heat stress and skin burn of firefighter under low-level thermal radiation[J]. International Journal of Thermal Sciences, 2019, 145, 106021.
8
CHOUDHARY B, UDAYRAJ, WANG F M, et al. Development and experimental validation of a 3D numerical model based on CFD of the human torso wearing air ventilation clothing[J]. International Journal of Heat and Mass Transfer, 2020, 147, 118973.
9
YANG J, WENG W G, FU M. A coupling system to predict the core and skin temperatures of human wearing protective clothing in hot environments[J]. Applied Ergonomics, 2015, 51, 363- 369.
10
XU J X, PSIKUTA A, LI J, et al. Evaluation of the convective heat transfer coefficient of human body and its effect on the human thermoregulation predictions[J]. Building and Environment, 2021, 196, 107778.
11
LI C, ITO K. Numerical and experimental estimation of convective heat transfer coefficient of human body under strong forced convective flow[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 126, 107- 117.
12
DE DEAR R J, ARENS E, ZHANG H, et al. Convective and radiative heat transfer coefficients for individual human body segments[J]. International Journal of Biometeorology, 1997, 40(3): 141- 156.
13
PARK H J, HOLLAND D. The effect of location of a convective heat source on displacement ventilation: CFD study[J]. Building and Environment, 2001, 36(7): 883- 889.
14
GADGIL A J, LOBSCHEID C, ABADIE M O, et al. Indoor pollutant mixing time in an isothermal closed room: An investigation using CFD[J]. Atmospheric Environment, 2003, 37(39-40): 5577- 5586.
15
WANG Y Y, WANG Z L, ZHANG X, et al. CFD simulation of naked flame manikin tests of fire proof garments[J]. Fire Safety Journal, 2015, 71, 187- 193.
16
SØRENSEN D N, VOIGT L K. Modelling flow and heat transfer around a seated human body by computational fluid dynamics[J]. Building and Environment, 2003, 38(6): 753- 762.
17
ZOU J W, LIU J L, NIU J L, et al. Convective heat loss from computational thermal manikin subject to outdoor wind environments[J]. Building and Environment, 2021, 188, 107469.
18
ZHANG M Y, LI R, WU Y L, et al. Numerical study of the convective heat transfer coefficient of the hand and the effect of wind[J]. Building and Environment, 2021, 188, 107482.
19
MAO N, SONG M J, PAN D M, et al. Computational fluid dynamics analysis of convective heat transfer coefficients for a sleeping human body[J]. Applied Thermal Engineering, 2017, 117, 385- 396.
20
GAO S, OOKA R, OH W. Formulation of human body heat transfer coefficient under various ambient temperature, air speed and direction based on experiments and CFD[J]. Building and Environment, 2019, 160, 106168.
21
YU Y C, LIU J L, CHAUHAN K, et al. Experimental study on convective heat transfer coefficients for the human body exposed to turbulent wind conditions[J]. Building and Environment, 2020, 169, 106533.
22
YANG J H, KATO S, SEO J. Evaluation of the convective heat transfer coefficient of the human body using the wind tunnel and thermal manikin[J]. Journal of Asian Architecture and Building Engineering, 2009, 8(2): 563- 569.
23
ITO K, INTHAVONG K, KURABUCHI T, et al. CFD benchmark tests for indoor environmental problems: Part 3 Numerical thermal manikins[J]. International Journal of Architectural Engineering Technology, 2015, 2(1): 50- 75.
24
纪秀玲, 李国忠, 戴自祝. 模拟人体热损失来评价热环境的传感器设计[J]. 科技通报, 2003, 19(2): 142- 145.
JI X L, LI G Z, DAI Z Z. The design of a transducer to simulate human heat loss to evaluate thermal environment[J]. Bulletin of Science and Technology, 2003, 19(2): 142- 145.
25
XU J X, PSIKUTA A, LI J, et al. Influence of human body geometry, posture and the surrounding environment on body heat loss based on a validated numerical model[J]. Building and Environment, 2019, 166, 106340.
26
JIANG Y Y, YANAI E, NISHIMURA K, et al. An integrated numerical simulator for thermal performance assessments of firefighters' protective clothing[J]. Fire Safety Journal, 2010, 45(5): 314- 326.
27
CLARK R P, TOY N. Forced convection around the human head[J]. The Journal of Physiology, 1975, 244(2): 295- 302.

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