The increasing availability of large-scale repositories of energy performance certificates offers the opportunity to interlink them with other data sources (cadastre, geographical data, weather data, building regulations, catalogues of refurbishment measures) and to derive innovative services that use the integrated data in conjunction with various tools (energy performance simulation, environmental impact). In the ENERSI project, two applications have been developed to make it easier for building owners and planners to take informed decisions to improve building energy performance in their properties and in their municipalities. These applications, named ENERHAT and ENERPAT, are based on the integration of building data from multiple sources and domains (energy performance certificates, cadastre, geographic information, and census), building refurbishment policies and assessment tools. Data integration has been performed using Semantic Web technologies. A user-friendly interface enables end-users of these on-line applications to obtain information about the current building status of properties, the measures which could be undertaken to improve them, the energy savings achieved and their respective costs.

No abstract

No abstract

Cómo citar este artículo/Citation: Madrazo, L., Massetti, M., Sicilia, A., Wadel, G., Ianni, M. (2015). SEíS: A semantic-based system for integrating building energy data. Informes de la Construcción, 67(537): e060, doi: http://dx.doi.org/10.3989/ic.13.048. Licencia / License: Salvo indicación contraria, todos los contenidos de la edición electrónica de Informes de la Construcción se distribuyen bajo una licencia . ABSTRACTAccess to reliable energy related data is a fundamental factor when taking decisions that help to improve the energy efficiency of buildings. The increase in the amount of data we have available has led to the need to develop information systems that facilitate the analysis of such data to the agents which are present throughout the building life cycle, from the design phase to maintenance. Semantic web technologies provide a solution to interlink distributed data sources. This requires the construction of shared vocabularies (i.e. ontologies) which capture the meaning that users give to the data and facilitate access to them. As yet there are no consolidated methods to build these vocabularies. This article presents the methodology developed to create SEíS, an energy information system that uses semantic technologies to integrate energy related data and to facilitate services to the different agents involved throughout the stages of the building life cycle. Keywords:Building energy efficiency; energy information systems; semantic technologies; ontologies. RESUMEN El acceso a los datos relacionados con la energía es un factor fundamental para tomar decisiones que ayuden a mejorar la eficiencia energética de los edificios. El incremento de la cantidad de datos disponibles ha llevado a la necesidad de desarrollar sistemas de información que faciliten el análisis de los mismos a los agentes que participan a lo largo del ciclo

No abstract