Título
Smart building: decision making architecture for thermal energy management
Autor
OSCAR HERNANDEZ URIBE
Juan Pablo San Martin Martinez
María C. García-Alegre
Matilde Santos Peñas
Domingo Guinea Díaz
Proyecto
MICINN-INNOVA-INNPACTO_ IPT_2011_1164_920000 and MICINN-INNOVA-INNPACTO_IPT_2011_1584_920000
Financiador
Research and Development on Alternative Energies Foundation (FIDEAS)
Programa de fondeo
Nivel de Acceso
Acceso Abierto
Identificador alterno
doi: 10.3390/s151127543
Referencia de publicación
URL/http://www.mdpi.com/1424-8220/15/11/27543
Materias
Decision-making architecture - (PALABRA CLAVE DEL AUTOR) Distributed sensor network - (PALABRA CLAVE DEL AUTOR) Dynamic thermal barrier - (PALABRA CLAVE DEL AUTOR) Thermal energy - (PALABRA CLAVE DEL AUTOR) Smart building - (PALABRA CLAVE DEL AUTOR) nZEB - (PALABRA CLAVE DEL AUTOR) INGENIERÍA Y TECNOLOGÍA - (CTI) CIENCIAS TECNOLÓGICAS - (CTI) TECNOLOGÍA DE LOS ORDENADORES - (CTI) DISPOSITIVOS DE CONTROL - (CTI)
Resumen o descripción
Smart applications of the Internet of Things are improving the performance of buildings, reducing energy demand. Local and smart networks, soft computing methodologies, machine intelligence algorithms and pervasive sensors are some of the basics of energy optimization strategies developed for the benefit of environmental sustainability and user comfort. This work presents a distributed sensor-processor-communication decision-making architecture to improve the acquisition, storage and transfer of thermal energy in buildings. The developed system is implemented in a near Zero-Energy Building (nZEB) prototype equipped with a built-in thermal solar collector, where optical properties are analysed; a low enthalpy geothermal accumulation system, segmented in different temperature zones; and an envelope that includes a dynamic thermal barrier. An intelligent control of this dynamic thermal barrier is applied to reduce the thermal energy demand (heating and cooling) caused by daily and seasonal weather variations. Simulations and experimental results are presented to highlight the nZEB thermal energy reduction.
Editor
MDPI AG
Fecha de publicación
2015
Tipo de publicación
Artículo
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Fuente
Sensors, vol. 15, no. 11, pag. 27543-27568
Idioma
Inglés
Audiencia
Público en general
Repositorio Orígen
CIATEQ Digital
Descargas
1236