Experimental investigation into the effects of different metabolic rates of body movement on thermal comfort

Zhang, Yuchun; Zhou, Xiaoqing; Zheng, Zhimin; Oladokun, Majeed Olaide; Fang, Zhaosong

doi:10.1016/j.buildenv.2019.106489

Cited by 83 publications

(21 citation statements)

References 42 publications

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“…Blood flows to the exercise muscles at the beginning of the exercise to meet the energy requirements of the working muscles, and the blood vessels in the skin begin to contract, causing the skin temperature to drop. In the studies of Zhang et al [ 18 ] and Chappuis et al [ 21 ], it was observed that the core temperature decreased during the initial stage of exercise. This was consistent with our experimental results.…”

Section: Discussionmentioning

confidence: 99%

“…Xiong et al [ 17 ] used oral temperature and skin temperature as markers of the thermal metabolic system, and oral temperature was used as an indicator of core temperature. Zhang et al [ 18 ] used auditory canal temperature as the core temperature in the dynamic test. Zhai et al [ 19 ] and Gao et al [ 20 ] measured core temperature using telemetry pills.…”

Section: Methodsmentioning

confidence: 99%

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Exercise Thermal Sensation: Physiological Response to Dynamic–Static Steps at Moderate Exercise

Lin

Chen

et al. 2021

IJERPH

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The study of exercise thermal sensation is more difficult than that of static thermal sensation in the human body. This work’s main purpose was to examine specific changes in human physiological parameters and subjective perceptions during the exercise process, especially around dynamic–static steps, and to assess exercise thermal sensation. Experiments were conducted in a climate chamber. A total of 16 subjects participated in two activities of different intensities on a treadmill, namely at 4.5 km/h and 6 km/h. The experimental procedure was set to static–dynamic–static. Skin temperature (Tsk), oral temperature (Tor), heart rate (HR), heart rate variability (HRV) parameters, and electrodermal activity (EDA) were measured at fixed time points, and thermal sensation values, thermal comfort values, and sweat feeling index were collected. The results showed complex changes in physiological indicators around the dynamic–static steps. Some important physio-logical indicators can be used as valid parameters for exercise thermal sensation models, such as Tsk, Tor, and EDA. This study highlighted that prediction models using average change and rate of change of measurements were better than using the original measurements. Our findings suggest that the exercise thermal sensation prediction models should be constructed according to the dynamic–static state and that psychological factors cannot be ignored.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Exercise Thermal Sensation: Physiological Response to Dynamic–Static Steps at Moderate Exercise

Lin

Chen

et al. 2021

IJERPH

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“…Moreover, the errors in the inputs to PMV (eg, metabolic rate and clothing insulation) are easy to occur. 68,69 The errors in the inputs would affect thermal neutrality determined by the PMV, which makes the thermal neutrality deviation is unable to reflect thermal adaptations around thermal neutrality fairly. For example, using the data in the study of Rajasekar and Ramachandraiah, 70 the thermal neutrality deviation is found to be 2.21 scales.…”

Section: Re Sults: C a S E S Tud Ie S For Validationmentioning

confidence: 99%

Extended predicted mean vote of thermal adaptations reinforced around thermal neutrality

Zhang

Lin

2021

Indoor Air

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For acceptable indoor environments, buildings account for a large portion of primary energy. [1][2][3] While technological innovations have been the center for improving energy efficiency in buildings, 4-7 the role of occupants' thermal adaptations (physiological, psychological, and behavioral adaptations) is receiving more and more attention in reducing the energy use for thermal comfort in buildings. [8][9][10][11] For example, Ming et al 12 found that the adaptive thermal comfort saved cooling energy in office buildings in Chongqing by 34% and Du et al 13 revealed that the adaptive thermal comfort reduced the cooling and heating energy by around 20-35% in residential buildings across the hot summer and cold winter zone of China. Ignoring thermal adaptations could cause excessive cooling and heating with thermal discomfort and energy wastage. 14 Thus, thermal comfort models used for building design and operation should take into account thermal adaptations for thermal comfort and energy efficiency of buildings. 15,16

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“…Zhang et al [49,50] conducted an experimental study on thermal comfort in an outdoor space with an eave in which a subject walked for 20 min and rested for 10 min at a temperature of 34 °C and relative humidity of 85 %. Fig.…”

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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Experimental investigation into the effects of different metabolic rates of body movement on thermal comfort

Abstract: Experimental investigation into the effects of different metabolic rates of body movement on thermal comfort

Cited by 83 publications

References 42 publications

Exercise Thermal Sensation: Physiological Response to Dynamic–Static Steps at Moderate Exercise

Exercise Thermal Sensation: Physiological Response to Dynamic–Static Steps at Moderate Exercise

Extended predicted mean vote of thermal adaptations reinforced around thermal neutrality

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

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