Comfort perception and its influence on energy consumption in social housing in hot dry climates
This thesis explores the relationship between the perception of thermal comfort and the energy consumption. This association is given by settings that motivate individuals to perform an action to change current environmental conditions to reach thermal comfort. The analyzed groups were people living...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | México |
| Institución: | Universidad Autónoma de San Luis Potosí |
| Repositorio: | Repositorio Institucional de la UASLP |
| OAI Identifier: | oai:repositorioinstitucional.uaslp.mx:i/4530 |
| Acceso en línea: | https://repositorioinstitucional.uaslp.mx/xmlui/handle/i/4530 |
| Access Level: | acceso abierto |
| Palabra clave: | Consumo de energía, percepción del confort térmico, vivienda de interés social, clima cálido seco, energy consumption, thermal comfort perception, dwellings, and hot-dry climate. 7 INGENIERIA Y TECNOLOGIA |
| Sumario: | This thesis explores the relationship between the perception of thermal comfort and the energy consumption. This association is given by settings that motivate individuals to perform an action to change current environmental conditions to reach thermal comfort. The analyzed groups were people living in social-dwellings in a hot-dry climate in Mexico. The first part of the research was the classification of variables, which influence the perception of thermal comfort. These variables go from very general aspects like climate and building features to more particular qualities as context characteristics and body’s individualities including psychological variables. From the resulting group, only selected those variables with available information of the behavioral responses, which are affected by the particular contextual characteristics, were selected. The analysis provided values to calculate action tendencies, finally resulting in a factor (per available device) to estimate energy consumption. Besides, a spreadsheet to perform action tendency calculations automatically was generated. Finally, based on the values of probability of action, the energy consumption was calculated. These results made clear, that the variables with the greatest influence are of psychological nature, such as preference and attitude towards the situation. |
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