Automation and optimization of in-situ assessment of wall thermal transmittance using a Random Forest algorithm
Reducing energy consumption and greenhouse gases emissions is among the main challenges of building sector. It is therefore crucial to know the characteristics of envelopes. There are experimental methods to determine thermal transmittance, but limitations are presented. By using techniques of artif...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Consejo General de la Arquitectura Técnica de España (CGATE) |
| Repositorio: | RIARTE |
| OAI Identifier: | oai:www.riarte.es:20.500.12251/1862 |
| Acceso en línea: | http://hdl.handle.net/20.500.12251/1862 https://doi.org/10.1016/j.buildenv.2019.106479 |
| Access Level: | acceso abierto |
| Palabra clave: | Inteligencia Artificial Ciclo de vida de edificación Transmitancia térmica Gases de efecto invernadero Transmisión de calor en edificación Ahorro energético Envolvente de edificio Flujo térmico 5312.03 Construcción 3305.90 Transmisión de Calor en la Edificación 3311.16 Instrumentos de Medida de la Temperatura 3311.02 Ingeniería de Control 3308.04 Ingeniería de la Contaminación |
| Sumario: | Reducing energy consumption and greenhouse gases emissions is among the main challenges of building sector. It is therefore crucial to know the characteristics of envelopes. There are experimental methods to determine thermal transmittance, but limitations are presented. By using techniques of artificial intelligence, this article solves the limitations of current methods by predicting correctly the thermal transmittance value of ISO 6946 and the building period of a wall with monitored data. The methodology used is extrapolated to any country: 163 real monitorings and 140 different typologies of walls have been combined to generate the dataset (22,820 items). The results show the optimal operation of the Random Forest algorithm because both the thermal transmittance of ISO 6946 and the building period are determined by using the most common methods: the heat flow meter method and the thermometric method. This study makes progress towards more automatized processes to characterize thermal transmittance. © 2019 Elsevier Ltd |
|---|