Abstract

Data from post-occupancy studies in real constructions have been instrumental in the development of mainstream thermal comfort standards for the built environment. However, there is growing evidence of the need to advance these standards, through more robust and comprehensive fieldwork records from a broader spectrum of geographies, climates, architectural characteristics and occupancies. It has been shown that the standards have limited suitability in environments such as educational buildings, as they were developed based mainly on adult subjects working in offices. The lack of guidance in data collection methodologies is also thought to require particular attention, as the accuracy of the assessment models relies significantly on the quality of the information gathered. This manuscript proposes a method to systematically acquire an extensive range of data specifically from school classrooms. The method seeks to improve current techniques as follows:•The post-occupancy surveys suggested in mainstream standards focus mainly on the collection of physical and environmental parameters related to adult subjects. Classroom-comfort-data can be used to collect information not only on physical and environmental parameters but also on physiological and psychological aspects. It also includes tools tailored for occupants from different ages (7 years old and above).•The assessment models suggested in mainstream standards employ between 2–5 parameters to predict thermal comfort ranges. The Classroom-comfort-data method is designed to gather up to 49 different thermal comfort parameters, which allow a more comprehensive evaluation of perception and preference, as well as adaptive strategies, social context, and cognitive and emotional appraisals.•The existing surveys in the standards were formulated primarily for office environments in subtropical and temperate climates. The Classroom-comfort-data method can be adapted to fieldwork within different conditions of climate, building design, occupancy levels, and cultural contexts.

Highlights

  • The present work aims to contribute with a method, named Classroom-comfort-data, designed to gather comprehensive Thermal comfort (TC) data in school classrooms

  • What do you like the MOST and the LEAST about the climate of your classroom? Or What would be your ideal thermal environment? 7

  • In further research by the authors, the data gathered during the case studies was subsequently analysed with both, the static and adaptive methods, as well as with a theory of environmental satisfaction and human comfort developed by Shin [41] and a model based on cognitive appraisals by Keeling and others [43]

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Summary

Method Article

Classroom-comfort-data: A method to collect comprehensive information on thermal comfort in school classrooms. Rodrigueza,*, María Camila Coronadoa, Juan Manuel Medinab a University Piloto de Colombia, Bogotá, Colombia b University of Los Andes, Bogotá, Colombia

Methods details
Method description
What elements do you think affect your comfort the most?
Evaluation and perception
Method validation
Conclusions
Full Text
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