Título
A context-awareness architecture for managing thermal energy in an nZEB building
Autor
OSCAR HERNANDEZ URIBE
Matilde Santos Peñas
María C. García-Alegre
Domingo Guinea Díaz
Nivel de Acceso
Acceso Abierto
Referencia de publicación
isbn: 978-1-4673-6552-9/15
doi: 10.1109/ISC2.2015.7366226
URL/http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=
Materias
Smart energy - (PALABRA CLAVE DEL AUTOR) Control architecture - (PALABRA CLAVE DEL AUTOR) Web ontology - (PALABRA CLAVE DEL AUTOR) Context-awareness - (PALABRA CLAVE DEL AUTOR) Semantic sensor - (PALABRA CLAVE DEL AUTOR) nZEB building - (PALABRA CLAVE DEL AUTOR) Decision support systems - (IEEE KEYWORDS) Ubiquitous computing - (INSPEC) Building management systems - (INSPEC) Ontologies (artificial intelligence) - (INSPEC) Power engineering computing - (INSPEC) INGENIERÍA Y TECNOLOGÍA - (CTI) CIENCIAS TECNOLÓGICAS - (CTI) TECNOLOGÍA DE LOS ORDENADORES - (CTI) SISTEMAS DE CONTROL DEL ENTORNO - (CTI)
Resumen o descripción
Global warming is seriously affecting society, but also to a lesser extent the longevity of the population and migration of people from the countryside to the cities present challenges for governments. Smart applications (smart city, smart grid, smart buildings, smart water, smart health) offer an alternative to deal with these challenges. Pervasive sensors, with increasingly powerful features, allow innovative developments, making possible a progressive growth in the so-called smart applications. Because information is the backbone of any type of smart environment, this work presents an architecture approach to take advantage of the capabilities of advanced sensors. Specifically in this work this architecture is applied to renewable energy systems for a better management of the thermal energy. A semantic sensors network has been developed to provide context awareness for managing thermal flow in a near Zero Energy Building (nZEB). The key elements are an Ontology Web Language (OWL) to describe the sensors and contextual knowledge, and a Semantic Web Rule Language (SWRL) to represent rule-based inferences for context reasoning. The main goal is to improve thermal energy comfort in a building with a reduction in the energy used.
O. H. U. thanks to the Alternative Energies Research and Development Foundation for a pre-doctoral grant and also CONACYT-CIATEQ for additional economic support.
Editor
IEEE
Fecha de publicación
2015
Tipo de publicación
Memoria de congreso
Versión de la publicación
Versión aceptada
Recurso de información
Formato
application/pdf
Fuente
IEEE First International Smart Cities Conference (ISC2), (Guadalajara, México, octubre 25-28)
Idioma
Inglés
Relación
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arnumber=7366226
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isnumber=7366145
Audiencia
Público en general
Sugerencia de citación
Uribe, O. H., M. Santos, M. C. Garcia-Alegre, and D. Guinea. 2015. “A Context-Awareness Architecture for Managing Thermal Energy in an NZEB Building.” In 2015 IEEE First International Smart Cities Conference (ISC2), , 1–6.
Repositorio Orígen
CIATEQ Digital
Descargas
1161