Next Article in Journal
Ideation, Representation, Handwriting Realization
Previous Article in Journal
Structural Health Monitoring Using Carbon Nanotube Yarns: Sensing Concept and Applications in Composites
Open AccessProceedings

Energy-Related Data Integration Using Semantic Data Models for Energy Efficient Retrofitting Projects

ARC, La Salle Engineering and Architecture, Ramon Llull University, 08022 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Presented at Sustainable Places 2017 (SP2017) Conference, Middlesbrough, UK, 28–30 June 2017.
Proceedings 2017, 1(7), 1099; https://doi.org/10.3390/proceedings1071099
Published: 5 December 2017
(This article belongs to the Proceedings of the Sustainable Places 2017 (SP2017) Conference)
Energy efficient retrofitting projects of urban areas require to analyze data from multiple sources and domains—BIM, GIS, statistics, energy data, and climate. An interoperability solution is needed to overcome the semantic and structural heterogeneity of the data sources. Within OptEEmAL project, we have design and implemented a District Data Model which integrates multiple data sources and makes them interoperable with several simulation tools (Energy plus, Nest, CitySim) using Semantic Web technologies, namely, ontologies and SPARQL construct queries.
Keywords: energy efficiency retrofitting; semantic web; linked data; data integration; ontologies; SPARQL energy efficiency retrofitting; semantic web; linked data; data integration; ontologies; SPARQL
MDPI and ACS Style

Sicilia, Á.; Costa, G. Energy-Related Data Integration Using Semantic Data Models for Energy Efficient Retrofitting Projects. Proceedings 2017, 1, 1099.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop