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        Disrupting Buildings

        Digitalisation and the Transformation of Deep Renovation

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        Contributor(s)
        Lynn, Theo (editor)
        Rosati, Pierangelo (editor)
        Kassem, Mohamad (editor)
        Krinidis, Stelios (editor)
        Kennedy, Jennifer (editor)
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/75389
        Keywords
        construction sector; digital technologies; sustainability engineering; architecture; mechanical engineering; deep renovation; computer science
        DOI
        10.1007/978-3-031-32309-6
        ISBN
        9783031323096, 9783031323096, 9783031323089
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2023
        Grantor
        • Dublin City University - [...]
        Imprint
        Palgrave Macmillan
        Series
        Palgrave Studies in Digital Business & Enabling Technologies,
        Classification
        Business and Management
        Building construction and materials
        Civil engineering, surveying and building
        Artificial intelligence
        Pages
        175
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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