DATAWiSE – Intelligent and Sustainable Building Management powered by Cross-Sectoral
Lifecycle
© AEE INTEC
DATAWiSE will develop and test building and building portfolio management tools. 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:
- 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.
- 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.
DI Armin Knotzer
Key activities: Zero and plus energy buildings, power supply and user comfort