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Informations sur le produit "Disrupting Buildings"

The world's extant building stock accounts for a significant portion of worldwide energy consumption and greenhouse gas emissions. In 2020, buildings and construction accounted for 36% of global final energy consumption and 37% of energy related CO2 emissions. The EU estimates that up to 75% of the EU's existing building stock has poor energy performance, 85-95% of which will still be in use in 2050.To meet the goals of the Paris Agreement on Climate Change will require a transformation of construction processes and deep renovation of the extant building stock. It is widely recognized that ICTs can play an important role in construction, renovation and maintenance as well as supporting the financing of deep renovation. Technologies such as sensors, big data analytics and machine learning, BIM, digital twinning, simulation, robots, cobots and UAVs, and additive manufacturing are transforming the deep renovation process, improving sustainability performance, and developing new services and markets.This open access book defines a deep renovation digital ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research, and offering perspectives from business, technology and industry domains.This is an open access book.

Sous-titre
Digitalisation and the Transformation of Deep Renovation

H | L | P | g
216 mm | 153 mm | 16 mm | 0.373 kg

Année de publication
2023

Classification d'âge
0

Édition
Hardcover

Éditeur
Springer

ISBN-10
3031323084

ISBN-13
9783031323089

Autres contributeurs
Lynn, Theo | Kassem, Mohamad | Krinidis, Stelios | Kennedy, Jennifer | Rosati, Pierangelo

Langue
Englisch

Nombre de Pages
196

Thèmes
Künstliche Intelligenz KI, Management: Innovation, Hochbau und Baustoffe, Robotik

Personne responsable selon l'art. 16 GPSR
Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115, Heidelberg, DE, ProductSafety@springernature.com

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