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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Table of contents

    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: 3 July 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. 3 July 2024.