Data-driven BIM for Energy Efficient Building Design

Author:   Saeed Banihashemi (University of Canberra, Australia) ,  Hamed Golizadeh (University of Canberra, Australia) ,  Farzad Pour Rahimian (Teesside University, UK)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032073484


Pages:   170
Publication Date:   16 December 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Data-driven BIM for Energy Efficient Building Design


Overview

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 theoretical development on the sustainability, informatics and optimisation paradigms in built environment, the energy efficient building design will be marked through the power of data and BIM-intelligent agents during the design phase. It will be further developed via smart derivatives to reach a harmony in the systematic integration of energy efficient building design solutions, a gap that is missed in the extant literature and that this book aims to fill. This approach will inform a vision for future and provide a framework to shape and respond to our built environment and how it transforms the way we design and build. By considering the balance of BIM, AI and energy efficient outcomes, the future development of buildings will be regenerated in a direction that is sustainable in the long run. This book is essential reading for those in the AEC industry as well as computer scientists.

Full Product Details

Author:   Saeed Banihashemi (University of Canberra, Australia) ,  Hamed Golizadeh (University of Canberra, Australia) ,  Farzad Pour Rahimian (Teesside University, UK)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.453kg
ISBN:  

9781032073484


ISBN 10:   1032073489
Pages:   170
Publication Date:   16 December 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table 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

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