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The Importance of Standardised Data-Collection Methods in the Improvement of Thermal Comfort Assessment Models for Developing Countries in the Tropics
doi: 10.3390/su11154180
handle: 11311/1141277
Thermal comfort in the built environment is one of the most defining parameters influencing energy use, environmental quality, and occupant satisfaction. Unfortunately, there is a lack of research in this area within developing countries, which are becoming increasingly urbanised and where mechanical air conditioning demands are rising. Many of these countries are adopting thermal comfort standards such as the ASHRAE Standard 55, the EN 15251, and the ISO 7730 to regulate the use of air-conditioning; even when these standards have been widely criticised for their inadequacy within geographical regions different to the ones that they were designed for. Research suggests the need to confirm these models through further post-occupancy studies and fieldwork. Deficiencies in data collection and methodologies are thought to require particular attention to develop algorithms that can predict thermal comfort levels accurately. Comprehensive strategies considering interrelated psychological, physiological and social factors are needed. This manuscript highlights gaps of research, specifically within tropical developing countries, through the analysis of Colombia as a case study. It emphasises the importance of standardised fieldwork data and gives examples of alternative collection systems. This aims to contribute to the understanding of occupant´s adaptive behaviours and their impact on the mitigation of climate change.
- Universidad de Los Andes Colombia
- Pilot University of Colombia Colombia
- Polytechnic University of Milan Italy
thermal comfort, thermal comfort data collection, mechanical ventilation, energy use, thermal comfort, mechanical ventilation, comfort assessment, tropical developing countries, energy use, thermal comfort data collection, tropical developing countries, comfort assessment
thermal comfort, thermal comfort data collection, mechanical ventilation, energy use, thermal comfort, mechanical ventilation, comfort assessment, tropical developing countries, energy use, thermal comfort data collection, tropical developing countries, comfort assessment
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