A BIM-integrated LCA module that calculates environmental impacts of buildings, including embodied carbon and end-of-life scenarios. It connects LCA databases (e.g. Ecoinvent, Ökobaudat) with BIM models via the BEXEL platform, visualizing results within the model. This allows designers and managers to prioritize repairs, reduce carbon footprint, and enable circular economy Read more…
A real-time digital twin platform for monitoring the structural integrity of buildings. Machine Learning models process SHM and IoT data to detect anomalies, predict degradation, and update Finite Element (FE) models. The hybrid digital twin improves seismic and structural resilience, enabling early-warning systems and data-driven maintenance strategies. For more information Read more…
A building energy optimization framework that uses IoT sensor data, BIM models, and behavioural incentives to reduce energy use. It designs and deploys Demand Response (DR) and Automated Demand Response (ADR) schemes tailored to building conditions and occupants’ comfort preferences. The tool supports energy-efficient operation and cost reduction without compromising Read more…
An integration layer that connects DBL data directly to BIM models via APIs. The BEXEL Manager platform will allow users to import, visualize, and analyse DBL data within BIM environments, linking information to model elements. REST APIs enable cloud-based data exchange, supporting collaborative decision-making and multi-criteria analysis in design, renovation, Read more…
An AI-powered modelling framework that automates the creation of multi-resolution BIM/HBIM models for existing buildings, particularly heritage assets. It uses non-invasive survey methods (e.g. laser scanning, photogrammetry) combined with Machine Learning to detect building components, map materials and damage, and assess climate change effects. The models are stored in the Read more…
A web-based renovation disruption simulation tool designed for preliminary planning phases. It generates structured disruption reports (JSON/JSON-LD) as Knowledge Assets uploaded to the BUILDCHAIN DKG. The tool evaluates renovation activities, timelines, and user disruption (utilities, access, environment, traffic), providing visual Gantt charts and standardized outputs. For more information about the Read more…
Granada, Spain – july 22, 2024 – We are pleased to announce the successful deployment of Pilot 1 of the Buildchain project at Hospital Real, part of the University of Granada. This significant 16th-century building is now equipped with state-of-the-art monitoring equipment, providing real-time data on accelerations, temperature, and humidity. Pilot 1 Read more…
We are pleased to announce that BUILDCHAIN will be part of the upcoming Central Europe Towards Sustainable Building Conference (CESB25), to be held from 16 to 19 September 2025 in Prague, Czech Republic. As a featured event within the CESB25 framework, BUILDCHAIN will host a dedicated session on September 18th Read more…
We are thrilled to announce that the BUILDCHAIN project was featured at the 9th MILAB Meetup, held at HUN-REN SZTAKI (Institute for Computer Science and Control) in Budapest! This prestigious event gathered key players in the AI and construction industries to discuss how artificial intelligence can enhance decision-making in construction Read more…
We are excited to announce that our research team was recently featured on the TV channel Canal Sur Más in their technology-focused program EnRed. In this interview, we shared insights into our ongoing work at the historic Hospital Real in Granada, where we have installed a network of sensors as Read more…