 | Data-driven BIM for Energy Efficient Building Design Subjects: Built Environment; Computer Science; Engineering & Technology; Artificial Intelligence; Computer Graphics & Visualization; Architecture; Building and Construction; Mechanical Engineering; Mining Mineral & Petroleum Engineering; Digital Architecture; Building Services Engineering; Construction Management; Green Construction; Heating Ventilation & Air Conditioning; Mechanical Engineering Design; Mining Engineering; 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. Dr Saeed Banihashemi is the Associate Professor and Postgraduate Program Director of Building and Construction Information Management in the School of Design and Built Environment, Faculty of Arts and Design; University of Canberra (UC), Australia. Dr Hamed Golzad is an Assistant Professor of Building and Construction Management at the University of Canberra, Australia. Prof Farzad Rahimian is a Professor of Digital Engineering and Manufacturing at Teesside University, UK. |
