About Workshop
BIM, AI and Digital Twins for Smart Building Performance is a 3-day hands-on workshop designed to teach participants how to integrate BIM-based workflows, AI analytics, and digital twin frameworks for building performance optimization.
Participants will explore Revit, Dynamo, Python, Speckle, and Power BI to extract building model data, analyze energy and operational performance, and create dashboards for actionable insights. The workshop emphasizes creating BIM-to-digital-twin workflows that enable smart building management, operational intelligence, and research-ready solutions.
Aim
The aim of this workshop is to enable participants to leverage BIM, AI, and digital twin technologies to monitor, analyze, and improve smart building performance. The workshop focuses on energy efficiency, facility optimization, and decision-making workflows using data-driven tools.
What Participants Will Learn
- Introduce smart building concepts and performance-driven management
- Explain the role of BIM in building design, construction, and operations
- Teach digital twin fundamentals for monitoring and decision-making
- Demonstrate AI-based energy performance prediction and operational analytics
- Guide participants in extracting and structuring building data using Dynamo
- Introduce Python for building energy and facility data analytics
- Explain key performance variables: area, orientation, occupancy, HVAC load, lighting, materials, and usage patterns
- Demonstrate integration of BIM data into digital twin frameworks
Structure
📅 Day 1: Foundations of BIM, AI and Digital Twins for Smart Buildings
- Introduction to smart buildings and performance-driven building management
- Understanding BIM and its role in building design, construction, and facility operations
- Basics of digital twins for smart building monitoring and decision-making
- Role of AI in building performance analytics, energy optimization, and facility intelligence
- Understanding building data: geometry, spaces, materials, equipment, energy use, occupancy, and operational parameters
- Introduction to BIM-based data extraction and model-based analytics
- Developing a basic BIM-to-digital-twin framework for smart building performance
🛠️ Hands-on:
- Hands-on 1: BIM Model Exploration and Building Performance Data Mapping
- Hands-on 2: Smart Building Indicator Matrix Preparation for Energy, Comfort, and Facility Performance
🧰 Tools Covered: Revit, Dynamo, Excel / Google Sheets, Power BI
📅 Day 2: BIM-Based Analytics and AI for Energy Performance Prediction
- Understanding BIM-based analytics for building performance evaluation
- Using Dynamo for extracting and organizing building model information
- Preparing building datasets for performance analysis
- Introduction to Python for building energy and facility data analytics
- Basics of AI-based energy performance prediction
- Identifying key performance variables: area, orientation, occupancy, HVAC load, lighting, material properties, and usage patterns
- Interpreting AI outputs for energy efficiency and operational decision-making
🛠️ Hands-on:
- Hands-on 1: BIM Data Extraction and Structuring using Dynamo
- Hands-on 2: Energy Performance Prediction Workflow using Python
🧰 Tools Covered: Revit, Dynamo, Python, Google Colab / Jupyter Notebook
📅 Day 3: Facility Digital Twins and Smart Building Dashboards
- Understanding facility digital twins for building operations and asset management
- Introduction to Speckle for BIM data sharing and model-based collaboration
- Connecting BIM data, performance indicators, and operational insights
- Designing smart building dashboards for energy use, space performance, maintenance, and facility decisions
- Using Power BI for building performance visualization and reporting
- Scenario comparison for energy efficiency and smart facility planning
- Developing a final BIM-AI-digital twin workflow for research or professional use
🛠️ Hands-on:
- Hands-on 1: BIM Data Sharing and Digital Twin Workflow using Speckle
- Hands-on 2: Mini Project: Smart Building Performance Dashboard using Power BI
🧰 Tools Covered: Revit, Dynamo, Speckle, Python, Power BI
Important Dates
Registration Ends
4:30 PM IST
Workshop Dates
2026-06-18
5:30 IST
5:30 IST
What You Will Gain
Outcomes
- Understand BIM, AI, and digital twin concepts for smart building performance
- Extract building model data and prepare it for analysis using Dynamo
- Analyze energy and operational performance using Python and AI tools
- Identify and evaluate key building performance variables
- Develop BIM-to-digital-twin frameworks for monitoring and facility intelligence
- Use Speckle for BIM data sharing and model collaboration
- Design Power BI dashboards for smart building performance visualization
- Compare energy efficiency and operational scenarios for decision-making
Who Should Attend
- Students and postgraduate learners in architecture, civil, mechanical, electrical engineering, and building services
- PhD scholars and researchers in smart buildings, facility management, energy efficiency, and building performance
- Academicians and faculty interested in BIM, AI, and digital twin-based education
- Building designers, facility managers, and engineers
- AI, data science, and digital twin enthusiasts interested in smart building applications
- Industry professionals working in building analytics, sustainability, and operational intelligence