Download the fantastic book titled Data driven BIM for Energy Efficient Building Design written by Saeed Banihashemi, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data driven BIM for Energy Efficient Building Design", which was released on 16 December 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Data driven BIM for Energy Efficient Building Design by Saeed Banihashemi PDF
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.
Detail About Data driven BIM for Energy Efficient Building Design PDF
- Author : Saeed Banihashemi
- Publisher : Taylor & Francis
- Genre : Technology & Engineering
- Total Pages : 187 pages
- ISBN : 1000801934
- Release Date : 16 December 2022
- PDF File Size : 13,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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