Data-driven BIM for Energy Efficient Building Design
eBook - ePub

Data-driven BIM for Energy Efficient Building Design

Saeed Banihashemi, Hamed Golizadeh, Farzad Pour Rahimian

  1. 216 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data-driven BIM for Energy Efficient Building Design

Saeed Banihashemi, Hamed Golizadeh, Farzad Pour Rahimian

Book details
Table of contents
Citations

About This Book

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.

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Information

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Dedication
  7. Contents
  8. List of Figures
  9. List of Tables
  10. List of Abbreviations
  11. Preface
  12. 1 Classics of Data-Driven BIM for Energy Efficient Design
  13. 2 Sustainability, Information and Optimisation: Antecedents of the Data and BIM-Enabled EED
  14. 3 BIM and Energy Efficient Design
  15. 4 Building Energy Parameters
  16. 5 AI Algorithms Development
  17. 6 BIM-Inherited EED Framework Development and Verification
  18. 7 Conclusion
  19. Index
Citation styles for Data-driven BIM for Energy Efficient Building Design

APA 6 Citation

Banihashemi, S., Golizadeh, H., & Rahimian, F. P. (2022). Data-driven BIM for Energy Efficient Building Design (1st ed.). Routledge. Retrieved from https://www.perlego.com/book/3767260 (Original work published 2022)

Chicago Citation

Banihashemi, Saeed, Hamed Golizadeh, and Farzad Pour Rahimian. (2022) 2022. Data-Driven BIM for Energy Efficient Building Design. 1st ed. Routledge. https://www.perlego.com/book/3767260.

Harvard Citation

Banihashemi, S., Golizadeh, H. and Rahimian, F. P. (2022) Data-driven BIM for Energy Efficient Building Design. 1st edn. Routledge. Available at: https://www.perlego.com/book/3767260 (Accessed: 25 June 2024).

MLA 7 Citation

Banihashemi, Saeed, Hamed Golizadeh, and Farzad Pour Rahimian. Data-Driven BIM for Energy Efficient Building Design. 1st ed. Routledge, 2022. Web. 25 June 2024.