Descrizione del progetto
Megadati e analisi per ridurre il consumo energetico negli edifici
I piani d’azione nazionali per l’efficienza energetica degli Stati membri, derivanti dalla direttiva UE sull’efficienza energetica, incontrano alcune difficoltà di adozione. Ad esempio, le azioni per ridurre il consumo energetico degli edifici devono fare i conti con la complessità dei sistemi energetici interni degli edifici stessi, oltre a essere costose e a incidere sul comfort degli occupanti. Il progetto BIGG, finanziato dall’UE, agevolerà l’adozione dei piani d’azione degli Stati membri applicando le tecnologie dei megadati e di analisi dei dati al ciclo di vita di oltre 4 000 edifici in Spagna e Grecia. Le soluzioni includono l’Open Source BIGG Data Reference Architecture 4 Buildings, il BIGG Standard Data Model 4 Buildings per raggiungere la completa interoperabilità dei dati degli edifici e un BIGG Data Analytics Toolbox basato su cloud per supportare un’ampia gamma di servizi e nuovi modelli di business, oltre a un processo decisionale affidabile ed efficace.
Obiettivo
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.
Campo scientifico
- 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
Programma(i)
Argomento(i)
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Vedi altri progetti per questo bandoBando secondario
H2020-LC-SC3-EE-2020-1
Meccanismo di finanziamento
IA - Innovation actionCoordinatore
1654 Huizingen
Belgio