CARTIF Projects
DigiBUILD
High quality data driven services for a digital built environment towards a climate-neutral building stock
Description
DigiBUILD overview is to provide an open, interoperable, cloud-based toolbox to transform buildings from traditional `silos´ into interoperable, smarter, digital buildings based on consistent and reliable data. High quality data will provide better informed decision making for “performance monitoring evaluation”, the “building infrastructure planning”, “policy making and elimination of investment risks “. DigiBUILD will provide high quality data-driven services for a sustainable digital and built environment. It will also support the deployment of a digital framework to house a Digital Building Logbook.
Objectives
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- Introduce an innovative framework for co-creation and co-design of use-cases with Smart Building stakeholders.
- Increase data quality through the data lifecycle by creating federated Data Lake with dynamic data with integrated Building Business Intelligence.
- Increase interoperability taking advantage of data models based on standards.
- Implement data analytic services based on AI for a energy management based on high quality data, energy efficiency, ensuring comfort.
- Deploy reusable, configurable and interoperable digital twins at system level for better information planning of building infrastructure and investment decision making for future building design and construction processes.
Actions
- Definition and implementation of a methodology for the analysis of data quality in its multiple dimensions.
- Definition and implementation of a data imputation procedure based on machine learning to minise information loss.
- Design and deployment of a federated data lake for the management of Big-Data on smart buildings with Business Intelligence application.
- Design an development of intelligent energy generation and demand forecasting services, as well as optimisation of produxtion systems in heat networks.
- Design and development of a digital twin for a heat network connected to a set of buildings.
Expected Results
- Tool for calculating data quality indicators.
- Data imputation tool with the minicication of gaps.
- Data lake federated and interoperable.
- Prediction and optimization services.
- Heat network digital twin.
- Gemelo digital de la red de calor.
R&D Line
- Research on advance and smart strategies for the management, operation and maintenance on buildings based on AI/ML/DL for the generation of support decision-making systems.
Partners
| 1. ENGINEERING – INGEGNERIA INFORMATICA SPA (ENG) 2. ETHNICON METSOVION POLYTECHNION (NTUA) 3. FUNDACION CARTIF (CARTIF 4. UNIVERSITA POLITECNICA DELLE MARCHE (UNIVPM) 5. CNET CENTRE FOR NEW ENERGY TECHNOLOGIES 6. VEOLIA SERVICIOS LECAM SOCIEDAD ANONIMA UNIPERSONAL (VEOLIA) 7. IRON THERMOILEKTRIKI ANONYMI ETAIREIA (HERON) 8. FOCCHI SPA (FOCCHI) |
9. FORUM VIRIUM HELSINKI OY (FVH) 10. MUNICIPIUL IASI (IASI) 11. SITTA RESEARCH SRL (SITTA) 12. ELECTRICITE DE FRANCE (EDF) 13. EMOTION SRL (EMOT) 14. INSTITUTE FOR EUROPEAN ENERGY AND CLIMATE POLICY STICHTING (IEECP) 15. CWARE APS (CWARE) 16. EUROHEAT & POWER (EHP) |
Horizon Europe
101069658
Total Budget: 5,525,782.50 €
CARTIF Budget: 534,500 €
CARTIF financing: 534,500 €
Duration: 01/06/2022 – 31/05/2025
Responsible
José L. Hernández
Energy Division
Networking
Energy Efficiency projects:
SMARTeeSTORY
SMARTeeSTORY will create an integrated intelligent building automation and control system to monitor and optimise the energy performance of historic non-residential buildings, according to an innovative multi-domain approach (integrating the 9 domains proposed by the ISR methodology).
FoSSIS3
FoSSIS3 objective is to develop an operational Platform based on artificial intelligence to support decision-making in the energy planning process, through the characterization and estimation of the solar resources, and the development of analytics that support the strategy to improve the energy behavior of the building sector.
BuildON
BuildOn pretends to develop a generic solution and highly replicable to offer services on buildings, facilitate the integration of their systems and technologies and with it, help to construct a new generation of smart buildings.
ENFLATE
ENFLATE applies technologies on data-driven energy and non-energy services, which it will replicate in different geographies and climates, considering different consumer needs.
DEDALUS
DEDALUS will design, develop and demonstrate micro (home/flat) and macro (building and district) participatory demand response ecosystems in multiple energy vector systems and with a social and human science based approach
MATRYCS
The main objective of MATRYCS is to define and deploy a Reference Architecture for Buildings Data exchange, management and real-time processing, and to translate this reference architecture into an Open, Cloud-based Data Analytics Toolbox. It will enable AI-based cross-sector analytics for smart energy-efficient buildings, based on seamless data-information-knowledge exchange under respective sovereignty and regulatory principles.
PROBONO
PROBONO brings together a European multidisciplinary consortium of 47 partners, to turn the six European districts into Green Building Neighbourhoods, with positive energy balance and zero carbon emissions: two large-scale demonstrators and four living labs representing business/owner promoters of the green buildings and neighbourhoods transition.
BD4NRG
BD4NRG envisions to confront big data management challenges for the energy sector, giving a competitive edge to the European stakeholders to improve decision making and at the same time to open new market opportunities.
EnergyChain
EnergyChain goal is to use Blockchain to develop a system that will support the energy exchange between prosumers without the need of a central entity in charge of the managing.
frESCO
frESCO aims to engage with ESCOs and aggregators and enable the deployment of innovative business models on the basis of novel integrated energy service bundles that properly combine and remunerate local flexibility for optimizing local energy performance both in the form of energy efficiency and demand side management.
Auto-DAN
The Auto-DAN project aims to enable homes and small businesses across the EU to optimize their energy consumption and provide and assessment of the live energy performance of a building. The solution will focus on the assistive role automation will have in buildings.
MiniStor
MiniStor aims at designing and producing a nvel compact integrated storage system for achieving a sustainable heating, cooling and electricity storage adaptable to residential buildings.
SO WHAT
SO WHAT project aims to develop and validate an integrated software for auditing industrial process, planning and simulation of waste heat and cold (WH/C) valorisation systems towards the identification of economically viable scenarios where WH/C and renewable energy sources (RES) cooperate to match local demand.
BIM-SPEED
BIM-SPEED has as its main objective to seeks to increase the use of BIM methodologies in the deep renovation of buildings for energy efficiency
SUDOKET
The Sudoket project focuses its activity on the mapping, consolidation and dissemination of Key Enabling Technologies (KETs) for the construction sector in the SUDOE space.
SISGENER
SISGENER’s objective is the development of a low-cost comprehensive energy management system for the management of generation and consumption that takes place in buildings with centralized services.
QUDRA
Energy improvement plan that allowed the reduction of municipal energy expenditure and the training of municipal technicians in energy matters
GAPSA
The GAPSA project’s main objective is to clearly define the real savings obtained due to the savings measures that will be implemented in the 33 primary care health centers
REEMAIN
The REEMAIN project combines cutting-edge knowledge and experience to develop and demonstrate a methodology and platform that drives the efficiency of energy and material resources.