Digital Transformation for Sustainable Built Environments

A Special Issue of Buildings (ISSN 2075-5309) belonging to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 20 January 2027 | Viewed by 310

Editors


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Guest Editor
School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Interests: building information modelling; AI/ML; photogrammetry; asset management; lifecycle assessment; solar building envelops; circular economy

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Guest Editor
School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Interests: building information modelling; computer vision; artificial intelligence; construction informatics; construction safety

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Guest Editor
Faculty of Architecture, Building and Planning, The University of Melbourne, Parkville, VIC 3010, Australia
Interests: digital construction; life cycle costing; circular economy; industrial ecology
School of Engineering, STEM College, RMIT University, Melbourne, VIC 3001, Australia
Interests: virtual reality; augmented reality; building information modelling; machine learning; game engine; sensing and tracking; construction management; ergonomics; safety; productivity
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Special Issue Information

Dear Colleagues,

Built environments are increasingly critiqued for their current resource usage and emissions, which make it challenging to achieve sustainability and decarbonization targets. Although a variety of methods and technologies have been introduced to address these issues, many challenges continue. In particular, the reliance on traditional and manual approaches has created a significant gap in the effective operationalisation of sustainable practices. With the emergence of Industry 4.0, digital technologies offer new opportunities to transform sustainable practices in the built environment. Technologies such as Building Information Modeling (BIM), Digital Twins, the Internet of Things (IoT), and Artificial Intelligence (AI) enable faster, more reliable, and data-driven approaches to achieving the goals. However, their adoption remains limited, and there is a lack of awareness within the industry regarding how these technologies can be effectively applied across different activities to enhance the safe and sustainability. The digital intervention is essential to bridge the gap between sustainability goals and practices in the built environment. This Special Issue aims to promote the application of digital technologies in managing and operating the built environment to achieve and maintain sustainability goals.

Relevant Topics include, but are not limited to

  • Application of Building Information modelings for sustainable built environment;
  • Digital Asset Management process;
  • Digital Twin and Internet of Things (IoT)-enabled applications;
  • Digital platform for sustainable practices in the built environment;
  • Artificial Intelligence for sustainable built environments.

Dr. Nilmini Weerasinghe
Dr. Haosen Chen
Dr. Kumudu Weththasinghe
Dr. Lei Hou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Artificial Intelligence
  • digital twins
  • digitalization
  • life cycle assessment
  • smart and automation
  • sustainability
  • Building Information Modeling
  • Internet of Things
  • energy efficiency
  • asset management

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Published Papers (1 paper)

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Research

28 pages, 7619 KB  
Article
An Industry Foundation Classes (IFC) Schema Extension for Building Information Modelling (BIM)-Based Description of Building Integrated PV
by Chaoxiang Zhang, Rebecca Yang, Frank Boukamp, Nick Williams, Yusen Zhao and Tharushi Imalka Samarasinghalage
Buildings 2026, 16(18), 3763; https://doi.org/10.3390/buildings16183763 - 21 Sep 2026
Abstract
Integrating Building-integrated Photovoltaics (BIPV) in nearly zero-energy buildings (nZEB) has gained importance due to its dual role as a renewable energy generator and building material. However, adoption is hindered by the lack of digital product data representation in Building Information Modelling (BIM). This [...] Read more.
Integrating Building-integrated Photovoltaics (BIPV) in nearly zero-energy buildings (nZEB) has gained importance due to its dual role as a renewable energy generator and building material. However, adoption is hindered by the lack of digital product data representation in Building Information Modelling (BIM). This study aims to establish a structured approach for representing BIPV products within the Industry Foundation Classes (IFC) schema to facilitate efficient information exchange. A systematic comparison of existing BIPV representation methods in BIM was conducted. The study then developed new BIPV property sets and classification options within the IFC schema. A validation process assessed the feasibility of the proposed classification and properties. The study identified key gaps in the digital representation of BIPV within the current IFC 4.3 schema and proposed a refined classification framework. The newly defined property sets and categorisation enhance interoperability, ensuring accurate data exchange across BIM platforms. The findings support the seamless integration of BIPV in digital building workflows. This research advances the digitalisation of BIPV products by addressing gaps in BIM compatibility. The proposed BIDM framework provides a structured method for representing BIPV in IFC, contributing to standardisation efforts and promoting wider adoption of BIPV in the construction sector. Full article
(This article belongs to the Special Issue Digital Transformation for Sustainable Built Environments)
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