Imagine if every building in a city had its own digital brain that could talk to other buildings without needing one giant, expensive central computer. This system lets building owners track energy and wear-and-tear in real-time using a shared language. It's like a smart network that helps managers decide exactly when to fix a roof or install solar panels to save the most money.
Building managers struggle with fragmented data locked in proprietary systems, making it hard to lower energy costs and plan renovations. This leads to inefficient maintenance and missed sustainability targets.
A decentralized data mesh architecture and Personalized Data Hubs (PDHs) that integrate building data. An Investment Tool was also created to guide decisions on renovations and renewable energy.
If you are a portfolio manager dealing with high operational costs across multiple sites — this project developed a decentralized data mesh that can reduce maintenance costs by up to 35%. It allows you to monitor building health without being locked into one software vendor.
If you are a consultant dealing with fragmented building data — this project developed an Investment Tool to support decision-making on renovation and RES investments. This helps you provide data-backed roadmaps for decarbonization.
If you are a district operator dealing with inefficient energy distribution — this project developed Federated Digital Twinning for districts. This enables better coordination of energy use across 200,000 m2 of upgraded buildings.
Based on available project data, the system aims to reduce maintenance costs by up to 35%.
The project is validating its solutions through four large-scale pilots across different European countries, targeting an upgrade of 200,000 m2 of buildings.
Based on available project data, specific licensing terms are not mentioned, but the architecture follows International Data Space (IDS) principles for data sovereignty.
The system uses a decentralized data mesh architecture that is agnostic to and interoperable with proprietary Building Management Systems (BMS) and Digital Twin Systems.
The project runs from May 1, 2024, to April 30, 2028.
The consortium is heavily weighted toward commercial application, with 47% industry representation including 6 SMEs. With 17 partners across 10 countries, the group balances academic research (4 universities, 3 research centers) with practical implementation experts, including finance SMEs and an international Data Association, ensuring the tool is viable for both technical and financial decision-making.
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Contact us to connect with the WILSON consortium for pilot opportunities.
