DigiBUILD

High-Quality Data-Driven Services for a Digital Built Environment towards a Climate-Neutral Building Stock

Project Specs

The DigiBUILD project explores the potential of the Digital Twin (DT) at the building scale. With a view to establishing a solid foundation for a sustainable built environment, DigiBUILD is developing an open, interoperable, cloud-based toolbox to collect data and enable data-driven approaches.

By harnessing the value of data collected from IoT sensors, the DT will enable innovative services aimed at reducing energy consumption, improving comfort, and ensuring user safety. From this perspective, building managers (e.g. facility managers, sustainability managers, human resources, etc.) can monitor building performance in real time, conduct forecasting assessments, and make informed decisions based on data.

Focchi Headquarters, comprising both office and factory spaces, is being used as a case study for the development of the Digital Twin (HE_GA 101069658).

Read the paper to learn more about DigiBUILD methodology

Technology

The Digital Twin

The sensors integrated into the building façade, along with environmental sensors, smart meters, and tracking systems, continuously feed the Digital Twin (DT).

Building on ongoing initiatives within the EU policy framework — which aims to create an energy-efficient data space — this DT is developed using standard cloud-based data platform frameworks (FIWARE) and data space initiatives (Gaia-X and IDSA). In addition to an advanced data governance framework, the DigiBUILD project incorporates AI-based analytics applied to high-quality data.

The project aims to bring DT technology to a complete and validated level of technological readiness (TRL 8).

Factory Digital Twin

The Factory is the hub of production activities and consists of production lines, CNC machinery, warehouse, storage areas and shipping department. As part of the Digibuild project, seven sensor kits have been installed throughout the factory, to monitor key environmental parameters such as CO₂ levels, brightness, humidity, and internal temperature, thus considering comfort and energy efficiency.

The Digital Twin (DT) developed for the factory collects and visualizes real-time data on a unified platform. It integrates inputs from various sources, including environmental sensors, photovoltaic (PV) energy production, weather stations, and data on the factory’s energy consumption.

The implementation of the DT has led to a measurable reduction in both energy use and global warming potential, while also improving data accuracy and increasing the Smart Readiness Indicator (SRI) score from 11-G to 17.

Office Digital Twin

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