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...

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Detalles Bibliográficos
Autores: Bienvenido Huertas, David, Rubio Romero, Juan Carlos, Pérez Ordóñez, Juan Luis, Oliveira, Miguel José
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
Descripción
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