Data-driven BIM for Energy Efficient Building Design

1. Auflage 2022
ISBN: 978-1-032-07348-4
Verlag: Routledge

Buch, Englisch, 186 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 452 g

Reihe: Spon Research

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.

Zielgruppe

Academic, Postgraduate, and Professional

Autoren/Hrsg.

Banihashemi, Saeed

Golizadeh, Hamed

Rahimian, Farzad Pour

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Bauingenieurwesen Haustechnik, Gebäudeautomatisierung
• Geisteswissenschaften Architektur Gestaltung, Darstellung, Bautechnik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Elektrikerhandwerk
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Geisteswissenschaften Architektur Architektur: Berufspraxis
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Technische Wissenschaften Bauingenieurwesen Baukonstruktion, Baufachmaterialien

Inhaltsverzeichnis

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