INdustrialisation of Building Lifecycle data Accumulation, Numeracy and Capitalisation

Climate, Energy & MobilityHORIZON-IAID: 101147225
EC Contribution
โ‚ฌ49,994
Consortium Size
22 orgs
Start Year
2025
โ–ถSummary

Significant challenges affecting the building and construction value chain are related to fragmentation and siloing. A systemic change is needed, catalysed by lifecycle perspectives, that will reveal interactions, opportunities, and threats. INBLANC will establish an open ecosystem focused on capitalising on the economy of building lifecycle data. This will be achieved through: The Accumulation framework, INBLANC prioritises low-cost data collection options and data extraction and inference, the consolidation of building information in Building Digital Logbook, as well as the creation and population of databases, interfaced with EU dataspaces through connectors. The Numeracy component will implement a Nexus strategy to map and operationalize interactions between different types of metrics: energy, human & societal, economy, environment & circularity and resilience, six Target Groups, encompassing the entire value chain, with focus on building owners and facility managers as actors with major decision-making capacity. The building lifecycle data Capitalisation toolset integrates high-added value services for the comprehensive management of: energy planning and operation, virtual facility management, quantified indoor health, low-carbon renovation planning and urban context integration. Actors in the ecosystem will be engaged across the value chain, through a holistic engagement strategy that will embed the projects outcomes in current and future industrial, but also user needs. INBLANC will be demonstrated in six demo cases, reflecting six very different use-case scenarios, from heritage renovation, to education, to energy flexible neighbourhoods, public building portfolios, large scale health facilities and finally city-scale implementation. Through the ambitious demonstrations, feedback will be collected and incorporated into a system completion process to prove near-market readiness.

Consortium (22)

Project Results (3)

Source: CORDIS, the EU research results database.

โ–ถPublications (3)
Harnessing hybrid digital twinning for decision-support in smart infrastructures
Data-Centric Engineeringยท 2025DOI
Huangbin Liang, Beatriz Moya, Eugene Seah, Ashley Ng Kwok Weng, Dominique Baillargeat, Jonas Joerin, Xiaozheng Zhang, Francisco Chinesta, Eleni Chatzi
Resilience-based post disaster recovery optimization for infrastructure system via deep reinforcement learning
Reliability Engineering & System Safetyยท 2025DOI
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni Chatzi
Resources, Conservation and Recyclcing
Resources, Conservation and Recyclingยท 2025DOI
N. Francart; S.R.B. Gummidi; E. Hoxha; H. Birgisdottir