Study on the allowable fluctuation ranges of human metabolic rate and thermal environment parameters under the condition of thermal comfort

Yang, Changzhi; Yin, Ting; Fu, Mushu

doi:10.1016/j.buildenv.2016.04.008

Cited by 37 publications

(8 citation statements)

References 9 publications

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“…The metabolism should be precisely measured for accurate thermal comfort evaluation, and the previously proposed evaluation method did not provide accurate thermal comfort measurement. Yang et al [54] attempted to investigate the influencing factors of a permissible range in metabolic rate and pleasant range of thermal environmental parameters. They developed a mathematical model between thermal environmental parameters and the permissible range of metabolic changes using orthogonal experimental design and multiple regression analysis.…”

Section: Metabolismmentioning

confidence: 99%

Influencing factors on thermal comfort and biosignals of occupant-a review

2021

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Thermal comfort has become one of the most important factors to be considered for the working efficiency and health of occupants in an indoor space. In addition, it is considered in the design of heating, ventilation, and air-conditioning systems for the management of building energy. In this study, the key factors influencing thermal comfort are briefly discussed, such as air temperature, air velocity, radiant temperature, relative humidity, insulation of clothes, and metabolic rate. These factors act in a complex manner, affecting people and causing physical and psychological changes. Also, human physical changes have a significant impact on the human body, including skin temperature, heart rate variability, and electroencephalogram measurements, and are modified by the surrounding thermal environment. In this article, the factors influencing thermal comfort and biosignals of humans are discussed, and recent related studies are introduced.

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Section: Metabolismmentioning

confidence: 99%

Influencing factors on thermal comfort and biosignals of occupant-a review

2021

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“…Specifically, when subjects were exposed to high air humidity conditions at 33 o C/90%RH and 36 o C/90%RH, the deviations increased gradually with prolonged exposure, so that the predicted MST by the developed PHSHR model were higher than that by the PHS model. It is inferred that subjects' metabolic rates would increase with increasing temperature and air humidity [59,60]; while in the PHS model the metabolic rate was assumed as a constant value due to the unchanged activity level of subjects. By contrast, thanks to the realtime heart rate input, the developed PHSHR model enables to reflect the changes of metabolic rates over time.…”

Section: Evaluation Of the Predicted Mst Between The Phs And Phs Hr Mmentioning

confidence: 99%

A ‘heart rate’-based model (PHSHR) for predicting personal heat stress in dynamic working environments

Yao

et al. 2018

Building and Environment

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The parameter of human body metabolic rates has been popularly used for the prediction of human heat stress in hot environments. However, most modules use the fixed and estimated metabolic heat production. The aim of this study is to develop the prediction of personal heat stress in dynamic working environments. Based on the framework of the predicted heat stress (PHS) model in ISO 7933, a heart-rate based PHSHR model has been developed using the time-based heart rate index, which is suitable for prediction in situations where metabolic rates are dynamic and there are inter-individual variations. The infinitesimal time unit Δti, has been introduced into the new PHSHR model and all the terms used in the PHS model related to metabolic rates are thus redefined as the function of real-time heart rates. The PHSHR has been validated under 8 experimental combined temperature-humidity conditions in a well-controlled climate chamber. The feature of the PHSHR model is being able to calculate dynamic changes in body metabolism with exposure time. It will be useful to the identification of potential risks of individual workers so to establish an occupational working environment health and safety protection mechanism by means of simultaneous monitoring of workers' heart rates at the personal levels, using advanced sensor technology.

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“…The results of the thermal comfort surveys were also compared with thermal comfort prediction calculations made using the Fanger analytical method. This method estimates the indoor thermal comfort of buildings using a combination of parameters [64,65] including metabolic rate [66,67], but this system does not consider personal factors such as the individual's specific mood [68], age and gender [69]. Nor is it a particularised method for each type of climate [70].…”

Section: Introductionmentioning

confidence: 99%

Influence of Sun Shading Devices on Energy Efficiency, Thermal Comfort and Lighting Comfort in a Warm Semi-Arid Dry Mediterranean Climate

Pérez-Carramiñana,

González-Avilés,

Castilla

et al. 2024

Buildings

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The dry Mediterranean climate (BShs) is the European region with the highest number of hours of sunshine per year. The high annual solar radiation makes sun shading devices necessary to comply with current energy efficiency standards. However, these standards do not sufficiently consider their effect on the indoor lighting comfort of buildings. The objective is to qualitatively and quantitatively determine how movable sun shading devices jointly influence the energy efficiency, thermal comfort and lighting comfort of buildings in BShs climate. The scientific novelty of the work consists of demonstrating the limitations of the sun shading systems commonly used in southeastern Spain and determining the optimal technical solution in this climate to simultaneously improve thermal and lighting comfort. This research comparatively studies the influence of various movable sun shading systems on the daylighting and thermal performance of an educational building. This study conducted on-site measurements, user surveys and computer simulations to study how to improve the thermal and lighting performances of the building. This work demonstrates that interior solar shading provides little improvement in thermal comfort and reduces the cooling demand by only 25%. External movable sun shading improves thermal comfort and reduces the cooling demand by more than 60%, but only adjustable blinds or awnings achieve adequate and homogeneous illuminance values as they diffuse daylight. The paper concludes that energy efficiency standards should be modified to ensure adequate lighting comfort in buildings.

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Study on the allowable fluctuation ranges of human metabolic rate and thermal environment parameters under the condition of thermal comfort

Cited by 37 publications

References 9 publications

Influencing factors on thermal comfort and biosignals of occupant-a review

Influencing factors on thermal comfort and biosignals of occupant-a review

A ‘heart rate’-based model (PHSHR) for predicting personal heat stress in dynamic working environments

Influence of Sun Shading Devices on Energy Efficiency, Thermal Comfort and Lighting Comfort in a Warm Semi-Arid Dry Mediterranean Climate

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