Data-driven BIM for Energy Efficient Building Design (Spon Research)

by Saeed Banihashemi, Hamed Golizadeh, and Farzad Pour Rahimian

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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 develop its functional solutions with a focus towards four crucial aspects of building envelop, building layout, occupant behaviour and heating, ventilation and air-conditioning (HVAC) systems. Drawn from the 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 which is missed in the extant literature and this book aims to fill that. This approach will inform a vision for future, 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 are sustainable in the long run. This book is essential reading for those in the AEC industry as well as computer scientists.

  • ISBN13 9781032073484
  • Publish Date 15 December 2022
  • Publish Status Forthcoming
  • Publish Country GB
  • Imprint Taylor & Francis Ltd
  • Format Hardcover
  • Pages 216
  • Language English