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Towards Sustainable Building & Infrastructure Operations & Maintenance (O&M)

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 5754

Special Issue Editors


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Guest Editor
Centre for Sustainable Engineering, School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough TS1 3BX, United Kingdom
Interests: energy efficiency in buildings; BIM and digital twin applications in the AEC/FM industry; compliance checking of digital building data; linked data applications for buildings and industrial facilities; reality capture methods and VR/AR applications for buildings and facilities in the energy sector

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Guest Editor
Centre for Sustainable Engineering, School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough TS1 3BX, United Kingdom
Interests: facility management; indoor air quality; energy efficient built environment; AEC industry, construction management; ML and AI applied to built environment; BIM; organisational readiness; user-centric solutions in the built environment; XR and 360 photogrammetry solutions for the AEC industry; net zero carbon infrastructure; semantic web; big data

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Guest Editor
Centre for Sustainable Engineering, Teesside Univeristy, Middlesbrough TS1 3BX, UK
Interests: BIM technologies and processes; sustainability; information technologies and systems; 5D; VR; integrated databases
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Special Issue Information

Dear Colleagues,

Sustainability in the built environment is concerned with several aspects of building and infrastructure performance throughout their lifecycle, from an environmental, social and economic perspective. The Operations and Maintenance (O&M) of buildings and infrastructure, which is typically the longest lifecycle stage, presents both challenges and opportunities related to e.g. energy efficiency, decarbonization, and lifecycle costs. The AEC/FM industry is responsible for around 33% of annual greenhouse gas (GHG) emissions worldwide, making it one of the most energy intensive sectors. Energy use in building and infrastructure operations accounts for a significant part of the total (embodied and operational) energy use and costs during their lifecycle. Technological advancements in data and information management in the form of BIM and digital twins can contribute to reducing embodied, and operational energy use, as well as overall lifecycle costs, by providing access and management of accurate data about all aspects of building and infrastructure assets. However there are still many barriers that are preventing their uptake by the AEC/FM industry, and reaping those benefits.

The main focus of this Special Issue is presenting the ongoing research which is being developed to address sustainability challenges in the built environment, particularly in operations & maintenance of buildings & infrastructure.

Key subject areas of this Special Issue include, but are not limited to:

  • BIM and digital twins’ applications for O&M of buildings and infrastructure
  • Energy efficiency in buildings and infrastructure
  • Sustainability in Asset Management and Facility Management of buildings and infrastructure
  • LCA/LCC of buildings and infrastructure
  • Decarbonization challenges in new and existing buildings and infrastructure
  • Interoperability challenges in BIM and digital twins for O&M
  • Innovative building solutions
  • Soft sciences and organizational aspects in the loop
  • End user and the occupant engagement in sustainable buildings
  • Large infrastructure sustainable management
  • Semantic web and linked data for sustainable facility operation
  • Indoor Environmental Quality: new challenges and trends
  • Big data in city infrastructure management

All researchers and members of the technical and scientific community involved in all aspects of operations & maintenance of buildings & infrastructure are invited to submit a manuscript.

Dr. Joao Patacas
Dr. Sergio Rodriguez
Prof. Dr. Nashwan Dawood
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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability 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 2400 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

  • sustainability
  • energy efficiency
  • operations & maintenance
  • decarbonization
  • BIM
  • digital twin
  • lifecycle assessment
  • LCA
  • LCC
  • building big data

Published Papers (1 paper)

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Research

15 pages, 1261 KiB  
Article
Gemini Principles-Based Digital Twin Maturity Model for Asset Management
by Long Chen, Xiang Xie, Qiuchen Lu, Ajith Kumar Parlikad, Michael Pitt and Jian Yang
Sustainability 2021, 13(15), 8224; https://0-doi-org.brum.beds.ac.uk/10.3390/su13158224 - 23 Jul 2021
Cited by 22 | Viewed by 5287
Abstract
Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity [...] Read more.
Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity model for measuring digital twin maturity for asset management. This model is established based on Gemini Principles to form a systematic view of digital twin development and implementation. Within this maturity model, three main dimensions consisting of nine sub-dimensions have been defined firstly, which were further articulated by 27 rubrics. Then, a questionnaire survey with 40 experts involved is designed and conducted to examine these rubrics. This model is finally illustrated and validated by two case studies in Shanghai and Cambridge. The results show that the digital twin maturity model is effective to qualitatively evaluate and compare the maturity of digital twin implementation at the project level. It can also initiate the roadmap for improving the performance of digital twin supported asset management. Full article
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