Numerical study on human model shape and grid dependency for indoor thermal comfort evaluation

Seo, Jin-Won; Park, Jaehong; Choi, Yongjun

doi:10.1007/s12206-012-1252-3

Cited by 12 publications

(10 citation statements)

References 4 publications

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“…However, significant differences were found in the regions close to the CSP surface. This was consistent with the conclusion drawn by Seo et al [11], who also found that more precise results were obtained for the evaluation of thermal comfort when a detailed CSP was used. Therefore, it could be expected that simplified CSPs may be sufficient for predictions of the global flow field, while detailed CSPs would be preferred when the near-occupant regions or the occupants themselves are concerned.…”

Section: Introductionsupporting

confidence: 92%

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The simplification of computer simulated persons (CSPs) in CFD models of occupied indoor spaces

Yan

2015

Building and Environment

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Section: Introductionsupporting

confidence: 92%

“…It should be noted that the scenarios of Deevy and Gobeau [16] and Seo et al [11] were quite simple, i.e. unfurnished rooms containing a single occupant in the middle and excluded the interactions between multiple or moving occupants.…”

Section: Introductionmentioning

confidence: 99%

The simplification of computer simulated persons (CSPs) in CFD models of occupied indoor spaces

Yan

2015

Building and Environment

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“…The design domain of Air Age is the surface 5 cm away from human head. There is none standard about specifying the design domain and the adopted "5 cm" is instructed by other researches (Ojima 2009;Seo et al 2013;Zhang and You 2014).…”

Section: Design Objectives and Design Variablesmentioning

confidence: 99%

“…For a comfortable environment, the PMV and DR are recommended to be in the range of -0.5 < PMV < 0.5 and DR < 20% (ASHRAE 2004;ISO 2005). For the design domain, the PMV and DR are controlled on the surface 10 cm away from the human body and the sensitive bare body such as human head, shoulders and feet (Ojima 2009;Seo et al 2013;Zhang and You 2014).…”

Section: Design Objectives and Design Variablesmentioning

confidence: 99%

Determination of the optimal control parameter range of air supply in an aircraft cabin

You

2015

Build. Simul.

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Comfortable and healthy aircraft cabin environment is required as more and more people choose to travel by air. The cabin environment is optimized by searching the optimal control parameters such as air supply velocity, angle and temperature. The optimal solutions are obtained by combining a multi-objective particle swarm optimization (MOPSO) with the simulation of computational fluid dynamics (CFD). It is found that different combinations of optimal air supply parameters can build an optimal cabin environment and the locations of the obtained optimal solutions are isolated in their value spaces. To achieve a stable engineering control operation, the determination of a stable range of optimal air supply parameters is required. Therefore, a method by using cluster analysis is developed to obtain stable ranges of optimal air supply parameters. Results show that the proposed method can obtain the ranges of optimal air supply parameters successfully.Keywords cabin environment, multi-objective optimization, particle swarm optimization, cluster analysis, stable range, optimal air supply parameters Article History

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“…For the determination of thermal comfort, ASHRAE Standard 55 [4] has recommended the predicted mean vote (PMV) model, given by Fanger [5], as the standard method, as it considers all the variables affecting the comfort condition of the human beings. Based on the same method, several studies have been conducted that aim to assess the thermal comfort levels of the occupants in buildings [6][7][8][9][10][11][12][13][14][15] and also its dependency on the solar radiation [16], various physical parameters [17,18] as well as the number of occupants [19] within the study boundary. Thermal comfort conditions may vary from one individual to another.…”

Section: Introductionmentioning

confidence: 99%

Thermal performance analysis of a naturally ventilated system using PMV models for different roof inclinations in composite climatic conditions

Vaishnani

Ali

Joshi

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Computational analysis has become a very useful tool for a detailed understanding of building physics before actual building constructions and for predicting such system behaviors where massive urbanizations are envisaged. The present study attempts to describe the efficacies of CFD as an "analysis led design" tool, where a computationally modeled cross-ventilation system with asymmetric positions of openings is analyzed to estimate the comfort zones according to the PMV (predicted mean vote) model for evaluating the influence due to roof inclinations, thereby providing opportunities in rectifying any anomalies pertaining to it, prior to the actual construction. A numerical analysis has been carried out to examine the effects of natural ventilation in a wind-driven system using the established extended PMV model (PMV e). The study focuses on thermal comfort and the effect of roof inclination angle over the three different weather conditions in Delhi-winter season (high humidity and low temperature), summer season (low humidity and high temperature) and monsoon season (high humidity and mild temperature). Appropriate roof inclination angles provide a better ventilation rate and air distribution pattern, which significantly affects comfort condition. Study shows that for winter season, the PMV values decrease as the roof inclination angle is increased and the ventilation rate for 30° inclined roof increases about 16% as compared to the flat roof case, while PMV values increase with roof inclination for summer season, signifying zone of discomfort. It also concludes that a moderate roof inclination is beneficial for monsoon season.

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Numerical study on human model shape and grid dependency for indoor thermal comfort evaluation

Cited by 12 publications

References 4 publications

The simplification of computer simulated persons (CSPs) in CFD models of occupied indoor spaces

The simplification of computer simulated persons (CSPs) in CFD models of occupied indoor spaces

Determination of the optimal control parameter range of air supply in an aircraft cabin

Thermal performance analysis of a naturally ventilated system using PMV models for different roof inclinations in composite climatic conditions

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