Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9808
Title: Integration of the multi-scale heterogeneous data for the deployment of the concept of energy efficiency in buildings within an SDI framework
Authors: Cuca, Branka 
Sesana, Marta Maria 
Iannaccone, Giuliana 
Oreni, Daniela 
Caccavelli, Dominique 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Keywords: Energy efficiency in buildings;Geospatial web services;INSPIRE;SDI
Issue Date: 1-Jun-2013
Source: 13th International Conference on Computational Science and Its Applications, ICCSA 2013; Ho Chi Minh City; Viet Nam; 24 June 2013 through 27 June 2013
DOI: 10.1007/978-3-642-39649-6-26
Abstract: The paper illustrates the potentials of geospatial information (GI) and related services that can enable structuring, access and sharing information regarding energy efficiency in buildings. This work refers on one side to European initiative that foresees a creation of macro-regions that are defined by their similarities in terms of climate, culture, construction typologies, economy, energy prices and energy policies and on the other side to the INSPIRE Directive that aims to ensure compatibility and usability Spatial Data Infrastructures (SDI) across Europe. The research here illustrated regards a geo-portal and geo-mapping tool that are able to provide new scenarios for retrieving geospatial knowledge regarding energy efficiency of European built environment.
URI: https://hdl.handle.net/20.500.14279/9808
ISBN: 978-364239648-9
Rights: © 2013 Springer-Verlag Berlin Heidelberg.
Type: Conference Papers
Affiliation : Politecnico di Milano 
Cyprus University of Technology 
Centre Scientifique et Technique du Bâtiment (CSTB) 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

Page view(s) 50

367
Last Week
0
Last month
2
checked on Dec 3, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.