The European project BIGG, funded under the H2020 programme, has been launched in December 2020. The BIGG project aims at demonstrating the application of big data technologies and data analytic techniques for the complete buildings lifecycle of more than 4000 buildings in 6 large-scale pilot test-beds.
Member States’ National Energy Efficiency Action Plans – following the EU’s Energy Efficiency Directive – face certain adoption difficulties. For example, actions to reduce energy consumption in buildings are confronted with the complexity of buildings’ internal energy systems, in addition to being expensive and affecting occupants’ comfort.
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 EU-funded BIGG project will facilitate the adoption of Member States’ Action Plans by applying Big Data technologies and data analysis techniques to the life cycle of more than 4 000 buildings in Spain and Greece.
The BIGG project aims at demonstrating the application of big data technologies and data analytic techniques for the complete buildings lifecycle of more than 4000 buildings in 6 large-scale pilot test-beds, achieved by:
- The Open Source BIGG Data Reference Architecture 4 Buildings for collection/funnelling, processing and exchanging data from different sources (smart meters, sensors, BMS, existing data sets);
- 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;
- 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 six business scenarios in Spain and Greece.
- Significant and measurable contribution to standardisation of European buildings data
- Demonstrated interoperability with data hubs at national or supranational level
- Creation of new data-driven business models and opportunities and innovative energy services based on the access and process of valuable datasets
- Better availability of big data and big data analysis facilities for real-life scale research, simulation and policy-making
- Tangible engagement of key stakeholders in building the database, contributing with real data
- A growing up-take of innovative data gathering and processing methods in the monitoring and verification of energy savings
- Effective integration of relevant digital technologies in the buildings sector, resulting in integrated value chains and efficient business processes of the participating organizations
- Strengthened links with the relevant programmes and initiatives aiming at building data collection and storage, supported by regional, national and European policies and funds
- Emergence of sustainable ecosystems around big data platforms
Budget: 4 844 336.25 €
Duration: 36 months
Coordinator: INETUM – Realdolmen NV
Contacts: Maria Pérez Ortega: firstname.lastname@example.org