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Distributed data modelling and Federated Digital Twinning for lifecycle data-driven sustainable operation and management of buildings and districts

Project description

Disruptive building management tools consider sustainability holistically

The EU-funded WILSON project aims to enhance data management in the built environment through a decentralised, interoperable data mesh architecture, integrating advanced data analytics and digital twin technologies to improve building management systems (BMS). The project will develop nine innovations that focus on data management, interoperability, planning, management, environmental performance, and building diagnostics. Furthermore, 12 key exploitable results will translate these innovations into practical applications such as tools for predictive maintenance, biodiversity assessment, semantic renovation, risk and resilience analysis, and smart readiness indicators, aiming for commercialisation and policy impact. WILSON will be tested in four large-scale pilots to ensure solutions integration, aiming to upgrade 200 000 m² of buildings, reduce maintenance costs by 35 %, and support the EU’s energy and environmental goals.

Objective

As the built environment continues to face challenges such as climate change, energy consumption, and social inequality, there is a growing need for adopting sustainable building practices beyond energy considerations, encompassing environmental, social, and economic dimensions across the entire lifecycle of buildings.

In view of these challenges, WILSON proposes a groundbreaking approach, leveraging semantic data repositories, cognitive digital twins, and decentralized data management to transform building and buildings portfolio management. The project aims to enhance sustainability by harnessing cutting-edge technologies and innovative management practices. To achieve it, WILSON main development is focused on a decentralized data mesh architecture that is agnostic to and interoperable with proprietary BMS and Digital Twin Systems.

Key objectives include improving building operations, evaluating environmental impact, and enhancing building diagnosis and monitoring. Personalized Data Hubs (PDHs) will connect and integrate all WILSON solutions, adhering to International Data Space (IDS) principles. These solutions will be complemented by an Investment Tool to support decision-making on renovation and RES investments.

To maximize its impact across the EU, WILSON will validate and demonstrate its solutions in four large-scale pilots across different European countries. The consortium comprises 16 partners (50% SMEs and industry) with diverse expertise, including research institutions, technological providers, an international Data Association, and finance SMEs. Overall, the project aims to upgrade 200,000 m2 of buildings, reducing maintenance costs by up to 35%. In the long-term, WILSON seeks to ensure Europe's global competitiveness, data sovereignty, and achievement of EU energy and environmental goals by 2050, resulting in a highly energy-efficient and decarbonized building stock.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL5-2023-D4-02

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Coordinator

FUNDACION CIRCE CENTRO DE INVESTIGACION DE RECURSOS Y CONSUMOS ENERGETICOS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 845 625,00
Address
PARQUE EMPRESARIAL DINAMIZA, AVDA. DE RANILLAS, 3D
50018 Zaragoza
Spain

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Region
Noreste Aragón Zaragoza
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Participants (12)

Partners (4)

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