The CPMV index for evaluating indoor thermal comfort in buildings with solar radiation

Zhang, Huan; Yang, Ruiqiao; You, Shijun; Zheng, Wandong; Zheng, Xuejing; Ye, Tianzhen

doi:10.1016/j.buildenv.2018.02.037

Cited by 59 publications

(24 citation statements)

References 31 publications

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“…Linear regression analyses with prediction intervals were used to examine if solar radiation levels can predict the physiological strain (HR, T core , and T sk ) and labor intensity. Thereafter, solar radiation was categorized into three groups (indoor (0 to 160 W/m 2 ), mixed (161 to 320 W/m 2 ), and outdoor (>320 W/m 2 ) environments) based on previous studies [ 41 , 42 ] reporting that 93–97% of the indoor environments are characterized by solar radiation levels ranging between 0 and 160 W/m 2 . We used solar radiation ranging between 161 and 320 W/m 2 (twice the indoor environment) to define mixed environments (workers spending time both indoor and outdoor).…”

Section: Appendix A1 Experimental Protocolmentioning

confidence: 99%

The Impacts of Sun Exposure on Worker Physiology and Cognition: Multi-Country Evidence and Interventions

Ioannou

Tsoutsoubi

Mantzios

et al. 2021

IJERPH

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Background: A set of four case-control (n = 109), randomized-controlled (n = 7), cross-sectional (n = 78), and intervention (n = 47) studies was conducted across three countries to investigate the effects of sun exposure on worker physiology and cognition. Methods: Physiological, subjective, and cognitive performance data were collected from people working in ambient conditions characterized by the same thermal stress but different solar radiation levels. Results: People working under the sun were more likely to experience dizziness, weakness, and other symptoms of heat strain. These clinical impacts of sun exposure were not accompanied by changes in core body temperature but, instead, were linked with changes in skin temperature. Other physiological responses (heart rate, skin blood flow, and sweat rate) were also increased during sun exposure, while attention and vigilance were reduced by 45% and 67%, respectively, compared to exposure to a similar thermal stress without sunlight. Light-colored clothes reduced workers’ skin temperature by 12%–13% compared to darker-colored clothes. Conclusions: Working under the sun worsens the physiological heat strain experienced and compromises cognitive function, even when the level of heat stress is thought to be the same as being in the shade. Wearing light-colored clothes can limit the physiological heat strain experienced by the body.

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Section: Appendix A1 Experimental Protocolmentioning

confidence: 99%

The Impacts of Sun Exposure on Worker Physiology and Cognition: Multi-Country Evidence and Interventions

Ioannou

Tsoutsoubi

Mantzios

et al. 2021

IJERPH

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show abstract

“…His study obtained a total of 998 subjects' thermal responses in the summer and early autumn of 2017. e subjects' TSV was used as the true value of thermal sensation. His method is not convincing [6]. Yang et al proposed a comprehensive state-space model (SSM) for indoor air temperature, radiation temperature, humidity, and prediction mean vote (PMV) index, which is suitable for fast real-time multiobjective optimization.…”

Section: Introductionmentioning

confidence: 99%

Indoor Environment Intelligent Control System of Green Building Based on PMV Index

Shao

2021

Advances in Civil Engineering

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With the development and progress of society, people have higher and higher requirements for indoor high temperature and humidity environment. The traditional air conditioning system uses temperature and humidity as control parameters, which has a single control goal, low comfort, and high energy consumption. The purpose of this study is to use predicted mean vote (PMV) thermal comfort index and green building to analyze the intelligent control system of indoor environment. Our intelligent research platform is a set of “intelligent” experimental platforms. The sample data were divided into human metabolic rate, human external work, and heat resistance of clothes, temperature, and air. According to the PMV value, velocity, relative humidity, and average radiation temperature are divided into three categories, which are composed of seven parameters. According to the survey results, PMV at 24°C fluctuates around 0.5, which is an important value for human thermal comfort, and people will feel more comfortable. When the temperature reaches 26°C, the PMV index will reach 0.6 or even more than 0.6, and the human body will be in an unpleasant state due to overheating. In addition, the higher the wind speed is, the smaller the PMV value is and the stronger the cooling effect is. The higher the temperature is, the smaller the influence of wind speed on PMV value is. In other words, the sensitivity of the human body to wind speed will be reduced. In this study, the PMV index intelligent control system can adjust the indoor environment properly, and the conclusion is that the energy consumption and use effect are superior to air conditioning equipment. This research has contributed to the development of intelligent buildings.

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“… A simple method for the evaluation of the mean radiant temperature (Tmr) for a human subject placed in a confined environment, and irradiated by solar radiation, direct as well as diffuse (La Gennusa et al, 2005);  A model for managing and evaluating solar radiation for indoor thermal comfort (La Gennusa et al, 2007);  A corrected predicted mean vote (CPMV) index to evaluate thermal environment of buildings with solar radiation (Zhang et al, 2018);  The SolarCal model, which computes an increase in Mean Radiant Temperature (Tmr) equivalent to shortwave gains from direct, diffuse, and indoor-reflected radiation on a person (Arens et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Application of thermal comfort assessment models to indoor areas near glazed walls – experimental evaluation

Oliveira

Corvacho

2021

rdlc

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In this paper, some of the results of an experimental study are presented. Its purpose was to better understand the impact of glazing on thermal comfort of users of indoor spaces (living and working), especially in the areas near glazed walls. Glazed elements, such as windows and glazed doors, allow visual access to the outdoor environment and the entrance of natural light and solar heat gains but they are often the cause of unwanted heat losses and gains and are disturbing elements in obtaining thermal comfort, both in global terms and in what concerns local discomfort due to radiant asymmetries and/or air draughts. Furthermore, solar radiation directly affecting users in the vicinity of glazing can also cause discomfort. These disturbances are recognized by users, both on cold winter days and on hot summer days. To assess thermal comfort or thermal neutrality of a person in a particular indoor space, it is important to know their location within that space. Thus, in order to adequately assess thermal comfort in the areas near the glazing, the indoor thermal environment must be characterized for this specific location. In this study, two indoor spaces (a classroom and an office-room) of a school building were monitored at different periods of the year. The measurements of the environmental parameters were performed both in the center of the rooms and in the areas near the glazing. Five models of thermal comfort assessment were then applied to the results, in order to compare the comfort conditions between the two studied locations and to evaluate the applicability of these models to the areas close to glazed walls. It was observed there was clearly a greater variability of comfort conditions in the vicinity of the glazed walls when compared to the center of the rooms. The application of thermal comfort assessment models to the two studied rooms was able to reveal the differences between the two compared locations within each space. It was also possible to show the effect of incoming solar radiation and the influence of the geometry of the spaces and of the ratio between glazed area and floor area by comparing the results for both spaces. The assessment model proposed by LNEC (Portuguese National Laboratory of Civil Engineering) proved to be the most adapted to Portuguese users’ habits.

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The CPMV index for evaluating indoor thermal comfort in buildings with solar radiation

Cited by 59 publications

References 31 publications

The Impacts of Sun Exposure on Worker Physiology and Cognition: Multi-Country Evidence and Interventions

The Impacts of Sun Exposure on Worker Physiology and Cognition: Multi-Country Evidence and Interventions

Indoor Environment Intelligent Control System of Green Building Based on PMV Index

Application of thermal comfort assessment models to indoor areas near glazed walls – experimental evaluation

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