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SmartWins is proud to announce a big event co-organised with the Building Digital Twin Association in May 2025!

Excited to share our latest research on Capturing building data for establishing digital twins of buildings for quick energy performance assessment. In this paper, we propose a survey-based process to quickly and non-intrusively collect information about a building to allow for an initial energy assessment. We introduce the survey to collect data and show how the survey data can be converted to input for a building performance simulation model. To validate the survey, we benchmark simulated results based on models of eight different buildings across Europe. For each of the buildings we compared the results of building performance simulations of simple models generated from survey data with detailed models generated from BIM models. The results show that simulated deviations are between 0.75% to 40.57% between the two types of models. We conclude that the survey-based approach can be a reasonable starting point for first quick energy assessments for most type of buildings. The findings were recently presented at the CIB W78 Conference in Marrakesh. A special thanks to the authors Timo Hartmann and Deepti Desai for their invaluable contributions to this work. You can find the paper in the following link: https://lnkd.in/dkh-CTsZ   Looking forward to the next CIB W78 in Portugal 🇵🇹, where we will continue advancing digital transformation in the construction industry! #digitaltwin  #building_performance #simulation #modeling #case_study #SmartWins #contecht #CIBW78

Look back at the moment when Iryna Osadcha presented her important work at the SpliTech Conference, diving into the challenges of geometric models and interoperability in Building Energy Modeling and Digital Twins. Her presentation was a significant contribution to the ongoing efforts of the #SmartWins project!

🌍 Revolutionizing Building Sustainability: SmartWins' Innovative API In the sustainable construction field, SmartWins junior researchers have developed an innovative API that will revolutionize building sustainability assessments using BIM files. This technology is key to achieving carbon neutrality in construction that aligns with Europe’s climate goals. The research identifies challenges in creating a uniform database platform for BIM-LCA and identifies the need for region-specific databases to provide automated material classification for measuring potential environmental consequences. It allows for a more accurate determination of the environmental impact of buildings. The future looks promising as the EU-level sustainability framework shapes our approach to greener buildings. Stay tuned as we pave the way for a more sustainable world! Check out more 👇 https://lnkd.in/eQTUGgXm #GreenBuilding #Innovation #Sustainability #API #LCA

🌍 Sustainable Building Insights from SmartWins Research 🏢 As previously introduced here: https://lnkd.in/g7cv24nC, SmartWins researchers conducted a comprehensive Life Cycle Assessment (LCA) 📊 of building sustainability across typical European building geometries. The study identifies trends in sustainability performance in relation to building types, materials used, and regional contexts 🏘️ that influence environmental impacts. Discover how these findings correlate with cost-optimal minimum thermal performance requirements! 🌱💡 Check out the main results and detailed insights here: https://lnkd.in/gkuKZeaM For detailed results and supplementary information, including BIM models, explore here: https://lnkd.in/g5rUVMy5 #BuildingSustainability #LifeCycleAssessment #GreenBuildings

🌍 Discover the Building Clusters of the European Union! 🏘️ Did you know that the European Union is divided into three regions based on the characteristics of its building stock? 🏠🔍 Our talented SmartWins junior researchers have conducted an in-depth analysis of residential buildings, identifying common geometries and features across three clusters:   📍 Northern and Western Europe 📍 Central and Eastern Europe 📍 Southern Europe Additionally, we have analyzed the minimum thermal requirements for buildings in each Member State, exploring differences in legislation and climate conditions. 🌡️🌍 As a result of this research, we've developed six BIM models of representative buildings, which were used for a comprehensive Life Cycle Assessment (LCA) of the environmental impact and thermal performance of these structures. ♻️🏗️ Stay tuned for the exciting insights from this comparative assessment! 🚀 The results will reveal fascinating correlations between thermal performance and environmental impact! 🌱✨ #BIM #LCA #Construction

🔍 Enhancing Accuracy in Digital Twin Geometry: A Comprehensive Review 🌐 Digital Twin technology is revolutionizing the way we make informed decisions in maintaining built assets. To ensure the accuracy of a Digital Twin, it’s crucial to keep it updated with the latest and most precise geometric information about the building. 🏢✨ Updating a Digital Twin can be complex, involving meticulous data collection, processing, and modeling. 🛠️ Our paper provides a comprehensive review and analysis of the primary methods used to refresh Digital Twin geometry through BIM and scanning techniques. Our goal is to establish a robust methodology for consistently updating Digital Twin geometry, addressing each stage of the process and potential challenges. 📊🔍 Dive deeper into our findings here: https://lnkd.in/egBCjuAu #DigitalTwin #AssetMaintenance #DigitalTransformation #BIM #TechInnovation

🔗 Digital Twins in Construction: Bridging the Physical and Digital Worlds 🏗️ As the construction industry increasingly adopts Digital Twins for built asset management, understanding the interplay between physical building geometry and the Digital Twin counterpart remains critical. The complex nature of building geometry presents challenges in accurately integrating it into the Digital Twin, compounded by the infrequency of post-construction geometry updates. Clear criteria for updating building geometry data are essential to ensure Digital Twin fidelity. These updates, derived from technologies such as laser scanning or UAVs/photogrammetry, require careful consideration of a building’s lifecycle and type. Regular or real-time updates, facilitated by methods such as AI and ML, ensure the accuracy of the Digital Twin but require careful data processing to identify structural elements. Embracing these insights leads the way to a robust Digital Twin, enabling better asset management in the construction industry. Let’s shape the future of construction with informed Digital Twin strategies! 🔍 Read more: https://lnkd.in/g7mAdsdY #DigitalTwins #SustainableBuilding #AssetManagement

Traditional Models Triumph in Traffic Prediction: A Comparative Study🚦📊 At SmartWins, in collaboration with the Centre for Research & Technology Hellas (CERTH) research centre, our researchers assessed various models to improve traffic congestion prediction using a Machine Learning-based multi-step forecasting approach. This study is particularly valuable for areas with limited historical data. See previous post: https://lnkd.in/eT4Kwhei Our comparative analysis revealed that traditional shallow learning models, such as Decision Tree Ensemble regressors, outperform Deep Learning implementations. Depending on the traffic location and forecasting horizon, different algorithms excel. Notably, Extra Tree and Random Forest algorithms show superior performance for longer forecasting horizons across almost all traffic locations. Learn more about traffic congestion and various forecasting techniques in our recent publication! 📚✨ Read more: https://lnkd.in/erisjwvG #TrafficCongestion #UrbanMobility #SmartCities