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DATAWiSE

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Intelligent and Sustainable Building Management powered by Cross Sectoral Lifecy...

Intelligent and Sustainable Building Management powered by Cross Sectoral Lifecycle DATAWiSE will develop and test building and building portfolio management tools, leveraging cross-sectoral lifecycle data on the basis of an open, secure, interoperable, and scalable framework. Utilizing cutting-edge artificial i... ver más

31/08/2027

Líder desconocido

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto Líder desconocido

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-04-19

HORIZON-CL5-2023-D4-02-02: Solutions for the identification of... Expected Outcome:Project results are expected to contribute to all of the following expected outcome...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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Duración del proyecto: 40 meses Fecha Inicio: 2024-04-19
Fecha Fin: 2027-08-31

Líder del proyecto Líder desconocido

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto DATAWiSE will develop and test building and building portfolio management tools, leveraging cross-sectoral lifecycle data on the basis of an open, secure, interoperable, and scalable framework. Utilizing cutting-edge artificial intelligence and advanced analytics, the methodology will integrate data from a variety of sources to provide a holistic understanding of building operations. DATAWiSE will design and implement a scalable data architecture that ensures data quality, privacy, interoperability, and sharing, and a Data Sharing Platform that will not only ensure interoperability and scalability but will also prioritize data sovereignty to secure data handling and preserve ownership control. DATAWiSE will develop: i) a Data-driven Building Performance Management (DBPM) toolkit which will harness Building Information Modeling (BIM) data in conjunction with advanced data mining techniques through a digital twin. ii) An AI-enhanced Lifecycle Data-driven Decision Support (LD2S) toolkit. This will serve as a versatile solution for well-informed decision-making across planning, renovation, and sustainability domains. Through these tools, the project will offer a suite of added-value services aimed at optimizing building management in various aspects: Electrical and Thermal Flexibility Management; AI-Powered Energy Forecasting and Optimization; Smart Sustainability & Comfort Balancing for Building Occupants; Adaptive Building Risk & Resilience Assessment; Circular Lifecycle Assessment; Predictive Maintenance; Integrated Sustainability Performance Management; Smart Readiness Assessment. Besides technological innovation, the project also incorporates a supportive market and policy framework designed to offer evidence-based pathways for widespread adoption and commercialization.

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