Saeed Banihashemi, Hamed Golizadeh, Farzad Pour Rahimian

Data-driven BIM for Energy Efficient Building Design (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book presents a research-led approach to identifying the massive opportunities that BIM and AI offer to sustainable design and strategies.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 186
• Erscheinungstermin: 16. Dezember 2022
• Englisch
• ISBN-13: 9781000801934
• Artikelnr.: 66259013

Autorenporträt

Dr Saeed Banihashemi is 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 Golizadeh is Assistant Professor of Building and Construction Management at the University of Canberra, Australia.

Professor Farzad Pour Rahimian is Professor of Digital Engineering and Manufacturing at Teesside University, UK.

Inhaltsangabe

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