The Importance of Standardised Data-Collection Methods in the Improvement of Thermal Comfort Assessment Models for Developing Countries in the Tropics
| Autor: | Carolina Rodríguez, Marta D’Alessandro, Maria Camila Coronado, Juan Manuel Medina |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Architectural engineering
Computer science thermal comfort 020209 energy medicine.medical_treatment Geography Planning and Development lcsh:TJ807-830 lcsh:Renewable energy sources Climate change Developing country 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law mechanical ventilation 01 natural sciences energy use 0202 electrical engineering electronic engineering information engineering medicine thermal comfort mechanical ventilation comfort assessment tropical developing countries energy use thermal comfort data collection Built environment Environmental quality lcsh:Environmental sciences 0105 earth and related environmental sciences comfort assessment Mechanical ventilation lcsh:GE1-350 Data collection Renewable Energy Sustainability and the Environment business.industry lcsh:Environmental effects of industries and plants Tropics Thermal comfort thermal comfort data collection lcsh:TD194-195 Air conditioning business tropical developing countries |
| Zdroj: | Sustainability Volume 11 Issue 15 Sustainability, Vol 11, Iss 15, p 4180 (2019) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su11154180 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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