Coupling a model of human thermoregulation with computational fluid dynamics for predicting human–environment interaction

Cropper, Paul C.; Yang, Tong; Cook, Malcolm; Fiala, Dusan; Yousaf, Rehan

doi:10.1080/19401491003615669

Cited by 40 publications

(22 citation statements)

References 12 publications

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“…As the UTCI may be coupled easily to measurements from meteorological monitoring stations (Spagnolo and de Dear 2003) or to computational fluid dynamics software (CFD) simulating the physical parameters of the thermal environment (Cropper et al 2010), our results suggest that the UTCI may serve as a suitable planning tool for urban thermal comfort in sub-tropical regions.…”

Section: Discussionmentioning

confidence: 97%

Predicting urban outdoor thermal comfort by the Universal Thermal Climate Index UTCI—a case study in Southern Brazil

et al. 2011

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Recognising that modifications to the physical attributes of urban space are able to promote improved thermal outdoor conditions and thus positively influence the use of open spaces, a survey to define optimal thermal comfort ranges for passers-by in pedestrian streets was conducted in Curitiba, Brazil. We applied general additive models to study the impact of temperature, humidity, and wind, as well as long-wave and short-wave radiant heat fluxes as summarised by the recently developed Universal Thermal Climate Index (UTCI) on the choice of clothing insulation by fitting LOESS smoothers to observations from 944 males and 710 females aged from 13 to 91 years. We further analysed votes of thermal sensation compared to predictions of UTCI. The results showed that females chose less insulating clothing in warm conditions compared to males and that observed values of clothing insulation depended on temperature, but also on season and potentially on solar radiation. The overall pattern of clothing choice was well reflected by UTCI, which also provided for good predictions of thermal sensation votes depending on the meteorological conditions. Analysing subgroups indicated that the goodness-of-fit of the UTCI was independent of gender and age, and with only limited influence of season and body composition as assessed by body mass index. This suggests that UTCI can serve as a suitable planning tool for urban thermal comfort in sub-tropical regions.

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Section: Discussionmentioning

confidence: 97%

Predicting urban outdoor thermal comfort by the Universal Thermal Climate Index UTCI—a case study in Southern Brazil

et al. 2011

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“…The results demonstrated that Venetian blinds could enhance the buoyancy-driven natural ventilation of the facade cavity. Cropper et al (2010) developed a CFD model to simulate the airflow and temperatures around human body using the shear stress transport (SST) k − ω model (Menter 1994). This model was further coupled with a thermal comfort model, which was able to predict human thermal comfort in various environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

On the turbulence models and turbulent Schmidt number in simulating stratified flows

Shi

Chen

2015

Journal of Building Performance Simulation

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Stratified flows are prevalent in indoor and outdoor environments. To predict these flows, this investigation evaluated the performance of seven turbulence models by comparing the simulation results with the experimental data of both weakly and strongly stratified jets. The models tested included six Reynolds-averaged Navier-Stokes models and one large eddy simulation (LES) model. The velocity, turbulent kinetic energy (TKE), and Reynolds stress distributions were examined. For the weakly stratified jet, all seven models could predict well the mean velocity, but for the strongly stratified jet, the Reynolds stress model and LES models overpredicted the velocity in the unstable stratification region. The Shear Stress Transport (SST) k − ω model was the best. This paper also introduced a new dynamic turbulent Schmidt number model which can improve the prediction of density distribution. In addition, this investigation analysed the computing costs of the models as well as the vorticity and entrainment ratios predicted by the models.

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“…A CFD study for PV integrated with a transient bio-heat model included the computation of segmental skin temperatures, overall thermal sensation, and overall thermal comfort [113]. In addition to PV studies, coupling CFD and a human-body thermoregulation model has been extensively employed in common studies in indoor environments [147,155,156,161,167,168].…”

Section: Coupling Of Cfd and Thermoregulation Modelsmentioning

confidence: 99%

A Review of CFD Analysis Methods for Personalized Ventilation (PV) in Indoor Built Environments

et al. 2019

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Computational fluid dynamics (CFD) is an effective analysis method of personalized ventilation (PV) in indoor built environments. As an increasingly important supplement to experimental and theoretical methods, the quality of CFD simulations must be maintained through an adequately controlled numerical modeling process. CFD numerical data can explain PV performance in terms of inhaled air quality, occupants’ thermal comfort, and building energy savings. Therefore, this paper presents state-of-the-art CFD analyses of PV systems in indoor built environments. The results emphasize the importance of accurate thermal boundary conditions for computational thermal manikins (CTMs) to properly analyze the heat exchange between human body and the microenvironment, including both convective and radiative heat exchange. CFD modeling performance is examined in terms of effectiveness of computational grids, convergence criteria, and validation methods. Additionally, indices of PV performance are suggested as system-performance evaluation criteria. A specific utilization of realistic PV air supply diffuser configurations remains a challenging task for further study. Overall, the adaptable airflow characteristics of a PV air supply provide an opportunity to achieve better thermal comfort with lower energy use based on CFD numerical analyses.

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Coupling a model of human thermoregulation with computational fluid dynamics for predicting human–environment interaction

Abstract: Coupling a model of human thermoregulation with computational fluid dynamics for predicting humanenvironment interaction

Cited by 40 publications

References 12 publications

Predicting urban outdoor thermal comfort by the Universal Thermal Climate Index UTCI—a case study in Southern Brazil

Predicting urban outdoor thermal comfort by the Universal Thermal Climate Index UTCI—a case study in Southern Brazil

On the turbulence models and turbulent Schmidt number in simulating stratified flows

A Review of CFD Analysis Methods for Personalized Ventilation (PV) in Indoor Built Environments

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