
Data-driven BIM for Energy Efficient Building Design
Routledge (Publisher)
1st Edition
Published on 29. September 2025
Book
Paperback/Softback
170 pages
978-1-032-07554-9 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Professional
Illustrations
51 s/w Zeichnungen, 2 s/w Photographien bzw. Rasterbilder, 53 s/w Abbildungen, 23 s/w Tabellen
23 Tables, black and white; 51 Line drawings, black and white; 2 Halftones, black and white; 53 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 10 mm
Weight
295 gr
ISBN-13
978-1-032-07554-9 (9781032075549)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Saeed Banihashemi | Hamed Golizadeh | Farzad Pour Rahimian
Data-driven BIM for Energy Efficient Building Design
E-Book
12/2022
1st Edition
Routledge
€76.49
Available for download

Saeed Banihashemi | Hamed Golizadeh | Farzad Pour Rahimian
Data-driven BIM for Energy Efficient Building Design
E-Book
12/2022
1st Edition
Routledge
€76.49
Available for download

Saeed Banihashemi | Hamed Golizadeh | Farzad Pour Rahimian
Data-driven BIM for Energy Efficient Building Design
Book
12/2022
1st Edition
Routledge
€200.60
Shipment within 10-20 days
Persons
Author
University of Canberra, Australia
University of Canberra, Australia
Teesside University, UK
Content
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