Data-Driven Bim for Energy Efficient Building Design

This book presents a research-led approach to identifying the massive opportunities that BIM and AI offer to sustainable design and strategies.

List of contents

1. Classics of the Data-driven BIM for Energy Efficient Design 2. Sustainability, Information and Optimisation: Antecedents of the Data and BIM-Enabled EED 3. BIM and Energy Efficient Design 4. Building Energy Parameters 5. AI Algorithms Development 6. BIM-inherited EED Framework Development and Verification 7. Conclusion

Product details

• Authors: Saeed Banihashemi, Saeed (University of Canberra Banihashemi, Hamed Golizadeh, Farzad Pour Rahimian
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 29.09.2025
• EAN: 9781032075549
• ISBN: 978-1-0-3207554-9
• No. of pages: 170
• Series: Spon Research
• Subjects: Humanities, art, music > Art > Architecture; Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering; Social sciences, law, business > Business > Individual industrial sectors, branches; Artificial Intelligence, COMPUTERS / Computer Science, ARCHITECTURE / Design, Drafting, Drawing & Presentation, Architectural structure & design, Computer-Aided Design (CAD), TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Electronics / General, COMPUTERS / Computer Simulation, ARCHITECTURE / Professional Practice, computer science, Artificial Intelligence (AI), information architecture, Engineering: general, Computer modelling & simulation, Electronics engineering, Heating, lighting, ventilation, COMPUTERS / Computer Architecture, COMPUTERS / Artificial Intelligence / General, Database design and theory, Architectural structure and design, Architecture: professional practice, COMPUTERS / Design, Graphics & Media / CAD-CAM, Computer modelling and simulation, COMPUTERS / Database Administration & Management, Database design & theory