1st Edition

Data-driven BIM for Energy Efficient Building Design

186 Pages 53 B/W Illustrations
by Routledge

186 Pages 53 B/W Illustrations
by Routledge

186 Pages 53 B/W Illustrations
by Routledge

This research book aims to conceptualise the scale and spectrum of Building Information Modelling (BIM) and Artificial Intelligence (AI) approaches in energy efficient building design and to develop its functional solutions with a focus on four crucial aspects of building envelop, building layout, occupant behaviour and heating, ventilation and air-conditioning (HVAC) systems. Drawn from... Read more

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

Biography

Dr Saeed Banihashemi is Associate Professor and Postgraduate Program Director of Building and Construction Information Management in the School of Design and Built Environment, Faculty of Arts and Design, University of Canberra (UC), Australia.

Dr Hamed Golizadeh is Assistant Professor of Building and Construction Management at the University of Canberra, Australia.

Professor Farzad Pour Rahimian is Professor of Digital Engineering and Manufacturing at Teesside University, UK.