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Integration of BIM and ICT for Sustainable Building Projects
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Integration of BIM and ICT for Sustainable Building Projects

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 25964

Special Issue Editor

Prof. Dr. Jaejun Kim

E-Mail Website
Guest Editor
Department of Architectural Engineering, Hanyang University, Seoul 04763, Korea
Interests: BIM (Building Information Modelling); ICT (Information and Communication Technology); artificial intelligence; big data analytics; digital twin; project delivery method; construction management; ROI (Return on Investment)

Special Issue Information

Dear Colleagues,

The innovative development efforts of digital technologies are breaking the traditional boundaries of the construction industry. The digitalization of the construction industry, represented by BIM, should not just produce a simple electronic file type report; it must be able to link, search, and analyze information based on objects. BIM has not just recently been developed; its level and field of use are diverse. In addition, the value of the information available in the construction industry can be maximized by integrating BIM with the latest ICT technology. These technical endeavors require a multidisciplinary approach in order to examine, explore, and critically engage with issues in the construction industry. This Special Issue welcomes all technology developments, case studies, empirical investigations, and experimentations related to the integration of BIM and ICT for sustainable building projects. The scope of the work includes, but is not limited to, the following:

  • Integration of BIM and ICT;
  • Digital technologies and lean construction;
  • Sensing technologies and quality control;
  • Automation and robotics;
  • Big data analytics for sustainable building;
  • Real-time location intelligence;
  • Real-time monitoring of building environment;
  • Assessment of information value.

Prof. Dr. Jaejun Kim
Guest Editor

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

  • BIM(Building Information Modelling)
  • ICT(Information and Communication Technology)
  • DfMA(Design for Manufacturing and Assembly)
  • AR/VR(Augmented Reality/Virtual Reality)
  • big data
  • artificial intelligence
  • digital twin
  • RoI(Return on Investment)

Published Papers (6 papers)

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Research

27 pages, 2421 KiB  
Article
Relationship between Functions, Drivers, Barriers, and Strategies of Building Information Modelling (BIM) and Sustainable Construction Criteria: Indonesia Construction Industry
by Cakraningrat Kencana Murti and Fadhilah Muslim
Sustainability 2023, 15(6), 5526; https://0-doi-org.brum.beds.ac.uk/10.3390/su15065526 - 21 Mar 2023
Cited by 1 | Viewed by 1899
Abstract
With increasing sustainability concerns, such as the construction sector being responsible for using 42% of the world’s energy, 30% of its raw materials, and 25% of its fresh water, building projects have been encouraged to adopt green and sustainable construction strategies. Innovation in [...] Read more.
With increasing sustainability concerns, such as the construction sector being responsible for using 42% of the world’s energy, 30% of its raw materials, and 25% of its fresh water, building projects have been encouraged to adopt green and sustainable construction strategies. Innovation in science and technology plays an important role to support the transition to sustainable development. Its ability to rely on advanced technology and effective construction processes makes Building Information Modelling (BIM) an opportunity that can bring great benefits to the sustainable construction sector. This research focuses on functions, barriers, drivers, and implementation strategies, which were analyzed for their relationship with sustainable construction criteria using structural equation modelling (SEM). It was found that the BIM function has a positive influence on sustainable construction with relevant indicators in the form of building digitization, improvement from 2D CAD methods, and integration between tools. Relevant barriers consist of lack of demand from clients and implementation that feels like additional work. Relevant drivers consist of increasing work productivity and reducing work errors. Meanwhile, relevant strategies consist of conducting further research, providing commitment, and setting up infrastructure for the application of BIM into sustainable construction. Full article
(This article belongs to the Special Issue Integration of BIM and ICT for Sustainable Building Projects)
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30 pages, 1915 KiB  
Article
Integrated Value Engineering and Life Cycle Cost Modeling for HVAC System Selection
by Mohammed A. Al-Ghamdi and Khalid S. Al-Gahtani
Sustainability 2022, 14(4), 2126; https://0-doi-org.brum.beds.ac.uk/10.3390/su14042126 - 13 Feb 2022
Cited by 11 | Viewed by 3349
Abstract
Selecting a suitable heating, ventilation, and air-conditioning (HVAC) system is critical, because it impacts a building’s life cycle cost (LCC). Several factors affect the selection decision, such as quality, buildability, internal and external building appearance, HVAC size and weight, and LCC. These criteria [...] Read more.
Selecting a suitable heating, ventilation, and air-conditioning (HVAC) system is critical, because it impacts a building’s life cycle cost (LCC). Several factors affect the selection decision, such as quality, buildability, internal and external building appearance, HVAC size and weight, and LCC. These criteria are difficult to measure, as they are not based on agreed measurement units. Another challenging factor in the selection process is assessing the building’s function/performance and determining its HVAC needs. Currently, the decision depends mostly on expert knowledge, and there is no agreed-upon systematic method to follow. This paper aims to develop a systematic model for selecting HVAC systems based on the value engineering (VE) concept. The model identified fourteen criteria based on an agreed standard test for objective criteria and a typical evaluation for subjective criteria. These HVAC criteria were assessed using a combination of the AHP, pairwise, function analysis system (FAST), and Monte Carlo techniques. As a result, a complete model was developed to enhance the selection process, programmed within the building information modeling (BIM) environment platform. Several HVAC experts were interviewed and more than twenty expert opinions were collected to validate the model. In addition, a case study building in Riyadh, Saudi Arabia, was implemented using the programmed HVAC selection model for validation purposes. The programmed model can significantly facilitate the selection process for designers. Full article
(This article belongs to the Special Issue Integration of BIM and ICT for Sustainable Building Projects)
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17 pages, 6158 KiB  
Article
Machine Learning Framework for the Sustainable Maintenance of Building Facilities
by Valentina Villa, Giulia Bruno, Khurshid Aliev, Paolo Piantanida, Alessandra Corneli and Dario Antonelli
Sustainability 2022, 14(2), 681; https://0-doi-org.brum.beds.ac.uk/10.3390/su14020681 - 08 Jan 2022
Cited by 9 | Viewed by 2679
Abstract
The importance of sustainable building maintenance is growing as part of the Sustainable Building concept. The integration and implementation of new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generate a large [...] Read more.
The importance of sustainable building maintenance is growing as part of the Sustainable Building concept. The integration and implementation of new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generate a large amount of data that will be utilized to better manage the sustainable building maintenance and staff. Anomaly prediction models assist facility managers in informing operators to perform scheduled maintenance and visualizing predicted facility anomalies on building information models (BIM). This study proposes a Machine Learning (ML) anomaly prediction model for sustainable building facility maintenance using an IoT sensor network and a BIM model. The suggested framework shows the data management technique of the anomaly prediction model in the 3D building model. The case study demonstrated the framework’s competence to predict anomalies in the heating ventilation air conditioning (HVAC) system. Furthermore, data collected from various simulated conditions of the building facilities was utilized to monitor and forecast anomalies in the 3D model of the fan coil. The faults were then predicted using a classification model, and the results of the models are introduced. Finally, the IoT data from the building facility and the predicted values of the ML models are visualized in the building facility’s BIM model and the real-time monitoring dashboard, respectively. Full article
(This article belongs to the Special Issue Integration of BIM and ICT for Sustainable Building Projects)
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18 pages, 1907 KiB  
Article
BIM for Smart Hospital Management during COVID-19 Using MCDM
by Chih-Lung Lin, James K. C. Chen and Han-Hsi Ho
Sustainability 2021, 13(11), 6181; https://0-doi-org.brum.beds.ac.uk/10.3390/su13116181 - 31 May 2021
Cited by 30 | Viewed by 5316
Abstract
In context of the recent COVID-19 pandemic, smart hospitals’ contributions to pre-medical, remote diagnosis, and social distancing has been further vetted. Smart hospital management evolves with new technology and knowledge management, which needs an evaluation system to prioritize its associated criteria and sub-criteria. [...] Read more.
In context of the recent COVID-19 pandemic, smart hospitals’ contributions to pre-medical, remote diagnosis, and social distancing has been further vetted. Smart hospital management evolves with new technology and knowledge management, which needs an evaluation system to prioritize its associated criteria and sub-criteria. The global effect of the COVID-19 pandemic further necessitates a comprehensive research of smart hospital management. This paper will utilize Analytical Hierarchy Process (AHP) within Multiple Criteria Decision Making (MCDM) to establish a smart hospital evaluation system with evaluation criteria and sub-criteria, which were then further prioritized and mapped to BIM-related alternatives to inform asset information management (AIM) practices. This context of this study included the expert opinions of six professionals in the smart hospital field and collected 113 responses from hospital-related personnel. The results indicated that functionalities connected to end users are critical, in particular IoT’s Network Core Functionalities, AI’s Deep Learning and CPS’s Special Network Technologies. Furthermore, BIM’s capability to contribute to the lifecycle management of assets can relate and contribute to the asset-intensive physical criteria of smart hospitals, in particular IoT, service technology innovations and their sub-criteria. Full article
(This article belongs to the Special Issue Integration of BIM and ICT for Sustainable Building Projects)
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24 pages, 7597 KiB  
Article
Building Information Modeling as an Effective Process for the Sustainable Re-Shaping of the Built Environment
by Cecilia Mazzoli, Marco Iannantuono, Vieri Giannakopoulos, Anastasia Fotopoulou, Annarita Ferrante and Simone Garagnani
Sustainability 2021, 13(9), 4658; https://0-doi-org.brum.beds.ac.uk/10.3390/su13094658 - 22 Apr 2021
Cited by 8 | Viewed by 5830
Abstract
This paper focuses on the definition of a method supported by digital processes for a sustainable and user-orientated re-design of the existing building stock. Based on the analysis of the methodological and procedural aspects of the computational approach to architectural design in relation [...] Read more.
This paper focuses on the definition of a method supported by digital processes for a sustainable and user-orientated re-design of the existing building stock. Based on the analysis of the methodological and procedural aspects of the computational approach to architectural design in relation to different performance conditions, the research addresses the adoption of Building Information Modeling (BIM), intended as a powerful method for coordinating the complexity of the multiple, interdisciplinary and conflicting aspects involved in the rehabilitation of buildings. In addition to the advantages in terms of control and management, the BIM process has proven its effectiveness in tackling the issue of sustainability, allowing all actors involved in the research to share information and pro-actively control various outcomes of a building’s performance, such as energy and environmental quality. To show the opportunities and limitations of the digital management in information-based processes, the activities carried out in the framework of the European Horizon 2020 project “Pro-GET-onE—Proactive synergy of inteGrated Efficient Technologies on buildings’ Envelopes” are reported. The research, based on a case study method, which is applied to a student residence in Athens, demonstrates that BIM possesses great potentialities for developing effective and efficient construction and renovation processes toward buildings with high quality standards. Full article
(This article belongs to the Special Issue Integration of BIM and ICT for Sustainable Building Projects)
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23 pages, 34411 KiB  
Article
Phased Reverse Engineering Framework for Sustainable Cultural Heritage Archives Using Laser Scanning and BIM: The Case of the Hwanggungwoo (Seoul, Korea)
by Namhyuk Ham, Baek-Il Bae and Ok-Kyung Yuh
Sustainability 2020, 12(19), 8108; https://0-doi-org.brum.beds.ac.uk/10.3390/su12198108 - 01 Oct 2020
Cited by 12 | Viewed by 3938
Abstract
This study proposed a phased reverse engineering framework to construct cultural heritage archives using laser scanning and a building information model (BIM). This framework includes acquisition of point cloud data through laser scanning. Unlike previous studies, in this study, a standard for authoring [...] Read more.
This study proposed a phased reverse engineering framework to construct cultural heritage archives using laser scanning and a building information model (BIM). This framework includes acquisition of point cloud data through laser scanning. Unlike previous studies, in this study, a standard for authoring BIM data was established through comparative analysis of existing archives and point cloud data, and a method of building valuable BIM data as an information model was proposed. From a short-term perspective, additional archives such as member lists and drawings can be extracted from BIM data built as an information model. In addition, from a long-term perspective, a scenario for using the cultural heritage archive consisting of historical records, point cloud data, and BIM data was presented. These scenarios were verified through a case study. In particular, through the BIM data building and management method, relatively very light BIM data (499 MB) could be built based on point cloud data (more than 917 MB), which is a large amount of data. Full article
(This article belongs to the Special Issue Integration of BIM and ICT for Sustainable Building Projects)
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