Description du projet
Utilisation des mégadonnées et de l’analyse pour réduire la consommation d’énergie dans les bâtiments
L’adoption des plans d’action nationaux en matière d’efficacité énergétique définis dans les États membres, qui suivent la directive de l’UE sur l’efficacité énergétique, ne va pas sans provoquer certaines réticences. Outre le fait qu’elles s’avèrent coûteuses et qu’elles nuisent au confort des occupants, les actions de réduction de la consommation d’énergie dans les bâtiments se heurtent, par exemple, à la complexité des systèmes énergétiques internes des édifices. Le projet BIGG, financé par l’UE, facilitera l’adoption des plans d’action des États membres en appliquant des technologies de mégadonnées et des techniques d’analyse de données au cycle de vie de plus de 4 000 bâtiments situés en Espagne et en Grèce. Les solutions envisagées comprennent notamment l'architecture Open Source BIGG Data Reference Architecture 4 Buildings, le modèle BIGG Standard Data Model 4 Buildings qui permet d’obtenir une interopérabilité totale des données des édifices, et enfin la boîte à outils BIGG Data Analytics Toolbox basée dans le cloud, afin de prendre en charge un large éventail de services et de nouveaux modèles d’entreprise et de soutenir des politiques fiables et efficaces.
Objectif
EU countries have drawn up strategies reflected in their National Energy Efficiency Action Plans that include provision of an overview of the country's national building stock, identification of key policies that the country intends to use to stimulate renovations and provision of an estimate of the expected energy savings that will result from renovations. Despite the increase in the use of energy and the evident environmental benefits of having more share of renewable energy sources (RES) in buildings, the adoption of both energy efficiency measures and RES is highly influenced by its cost and the impact on occupants’ comfort. The real implementation of actions to reduce energy consumption in buildings is confronted with the complexity of managing their internal energy systems, the overall target of cost savings and the respect of the levels of comfort expected by the buildings occupants.
The BIGG project aims at demonstrating the application of big data technologies and data analytic techniques for the complete buildings life-cycle of more than 4000 buildings in 6 large-scale pilot test-beds, achieved by: 1) The Open Source BIGG Data Reference Architecture 4 Buildings for collection/funneling, processing and exchanging data from different sources (smart-meters, sensors, BMS, existing data sets); 2) An interoperable buildings data specification, BIGG Standard Data Model 4 Buildings, based on the combination of elements from existing frameworks and EC directives, such as SAREF, INSPIRE, BIM, EPCHub that will be enhanced to reach full interoperability of building data; 3) An extensible, open, cloud-based BIGG Data Analytics Toolbox of service modules for batch and real-time analytics that supports a wide range of services, new business models and support reliable and effective policy-making. These solutions will be deployed and tested cross pilot and country validation of at least two business scenarios in Spain and Greece.
Champ scientifique
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- natural sciencescomputer and information sciencesdata sciencebig data
- social scienceseconomics and businessbusiness and managementbusiness models
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Programme(s)
Régime de financement
IA - Innovation actionCoordinateur
1654 Huizingen
Belgique