Influences on the predictive performance of thermal sensation indices

Schweiker, M and Wagner, A (2017) Influences on the predictive performance of thermal sensation indices. Building Research & Information, 45(7), pp. 745-758. ISSN 0961-3218

Abstract

Understanding humans' perception of the thermal built environment is one of the prerequisites for designing satisfactory workplaces and related to their energy use. This paper compares the predictive performance of nine thermal comfort indices with respect to the population mean and individual votes together with the effect of false assumptions of metabolic rate, clothing level, and air velocity on this performance. In addition, the potential to customize the indices to the building level, e.g. by means of the coefficient for psychological adaptation, PSYCH, included in the adaptive thermal heat-balance (ATHB) model is analysed. The analysis of field data from two naturally ventilated and four mixed-mode office buildings showed that the ATHB indices outperform the other indices in terms of predicting thermal sensation. The effect of false assumption is larger for predicted mean vote (PMV)-based models compared with standard effective temperature (SET)-based models. In addition, customization revealed no clear distinction between naturally and mixed-mode buildings, which suggests that other factors are more influential. These results are discussed with respect to the potential of the ATHB approach to account for differences in building control characteristics and the way thermal comfort is addressed in related standards.;Understanding humans' perception of the thermal built environment is one of the prerequisites for designing satisfactory workplaces and related to their energy use. This paper compares the predictive performance of nine thermal comfort indices with respect to the population mean and individual votes together with the effect of false assumptions of metabolic rate, clothing level, and air velocity on this performance. In addition, the potential to customize the indices to the building level, e.g. by means of the coefficient for psychological adaptation, PSYCH, included in the adaptive thermal heat-balance (ATHB) model is analysed. The analysis of field data from two naturally ventilated and four mixed-mode office buildings showed that the ATHB indices outperform the other indices in terms of predicting thermal sensation. The effect of false assumption is larger for predicted mean vote (PMV)-based models compared with standard effective temperature (SET)-based models. In addition, customization revealed no clear distinction between naturally and mixed-mode buildings, which suggests that other factors are more influential. These results are discussed with respect to the potential of the ATHB approach to account for differences in building control characteristics and the way thermal comfort is addressed in related standards.;Understanding humans' perception of the thermal built environment is one of the prerequisites for designing satisfactory workplaces and related to their energy use. This paper compares the predictive performance of nine thermal comfort indices with respect to the population mean and individual votes together with the effect of false assumptions of metabolic rate, clothing level, and air velocity on this performance. In addition, the potential to customize the indices to the building level, e.g. by means of the coefficient for psychological adaptation, PSYCH, included in the adaptive thermal heat-balance (ATHB) model is analysed. The analysis of field data from two naturally ventilated and four mixed-mode office buildings showed that the ATHB indices outperform the other indices in terms of predicting thermal sensation. The effect of false assumption is larger for predicted mean vote (PMV)-based models compared with standard effective temperature (SET)-based models. In addition, customization revealed no clear distinction between naturally and mixed-mode buildings, which suggests that other factors are more influential. These results are discussed with respect to the potential of the ATHB approach to account for differences in building control characteristics and the way thermal comfort is addressed in related standards.;

Item Type: Article
Uncontrolled Keywords: field study; performance criteria; workplace design; adaptive comfort; thermal sensation; thermal comfort; commercial offices; psychological adaptation; perceived control; comfort; environments; occupants behavior models; energy-consumption; residential buildings; construction & building technology; pmv; verification; metabolic rate; energy use; buildings; clothing; customizing; performance prediction; data processing; velocity; office buildings; building control; ventilation; workplaces
Index terms: data processing, workplace design, population, building control, perceived control, consumption, building technology, customizing, performance criteria, field study, ventilation, standard effective temperature, commercial office, built environment, thermal comfort, comfort, psychological adaptation, energy use, adaptive comfort, clothing, residential building, customization, office building, performance prediction, thermal sensation
Subjects: occupational health and safety management, demography, infrastructure and transport systems, environmental engineering, behavioral psychology, performance measurement, design practice, performance management, research methods, health safety and environment, construction manufacturing, energy systems, data science, construction type, human factors, air quality, consumer economics, engineering systems, human factors and perception
Topics: Health and Safety, Business Strategy, Engineering Principles, Research Practice, Stakeholder Management, Sustainability, Construction Technology, Urban Studies, Design Practice, Quality Management
Descriptive scope: 3 PCA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here