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Sustainability
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Building Information Modeling (BIM) in the Perspective of Green Building
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Building Information Modeling (BIM) in the Perspective of Green Building

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: closed (4 March 2024) | Viewed by 8425

Special Issue Editors

Dr. Yang Yang

E-Mail Website
Guest Editor
School of Civil Engineering, Chongqing University, Chongqing 400045, China
Interests: civil engineering construction; application of building information model; construction industrialization; green construction theory and practice
Special Issues, Collections and Topics in MDPI journals
Dr. Sheng Xu

E-Mail Website
Guest Editor
School of Economics and Management, Chang'an University, Xi'an, China
Interests: construction safety management; civil engineering informationization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the urgency to address climate change and energy consumption increases, the construction industry has increasingly turned to sustainable building practices. BIM has emerged as a powerful tool to support this shift towards green building.

BIM has multiple applications in green building practices. Firstly, it enables the integration of sustainable design features such as energy-efficient air conditioning systems, lighting, and insulation into building design. BIM can also simulate a building's energy performance, optimizing the energy consumption of the building during its entire life cycle to reduce environmental impact. Furthermore, BIM can assist construction teams in better planning the construction process, resource allocation, and material procurement, thereby improving the efficiency and quality of construction. Meanwhile, BIM can help building managers to better manage the operation and maintenance of their building. In conclusion, BIM has a wide range of applications and can cover the entire life cycle of a construction project.

BIM has significant potential and possibilities in the implementation and development of green building and will continue to play an important role in this field in the future. Therefore, the proposed Special Issue aims to explore more applications of BIM in the construction industry to achieve truly green building.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Exploring BIM-based sustainable building design;
  • BIM-based energy saving application and optimization in building;
  • BIM-based project information management system;
  • Application of BIM in intelligent construction operation and maintenance;
  • BIM-based engineering and construction collaboration technology;
  • BIM-based supply chain management;
  • Web-based 4D visualization;
  • BIM-based engineering construction simulation scheme;
  • Application of finite element simulation in building entire life cycle;
  • BIM in prefabricated building design, production, and construction;
  • Explore the current situation, application and trend of BIM;
  • Synergistic application of geographic information systems and building information models.

We look forward to receiving your contributions.

Dr. Yang Yang
Dr. Sheng Xu
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

  • BIM
  • sustainable building practices
  • building energy efficiency
  • environmental impact
  • collaborative environment
  • intelligent construction

Published Papers (5 papers)

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Research

23 pages, 2956 KiB  
Article
A Multi-Objective Optimization Method for the Design of a Sustainable House in Ecuador by Assessing LCC and LCEI
by Yuan Chen and Stephanie Gallardo
Sustainability 2024, 16(1), 168; https://doi.org/10.3390/su16010168 - 23 Dec 2023
Viewed by 1057
Abstract
The building industry significantly contributes to global warming, driving the demand for sustainable construction and green buildings. However, barriers like cost concerns and limited knowledge persist. Previous studies have used multi-objective optimization (MOO) to minimize life cycle cost and environmental impact, often emphasizing [...] Read more.
The building industry significantly contributes to global warming, driving the demand for sustainable construction and green buildings. However, barriers like cost concerns and limited knowledge persist. Previous studies have used multi-objective optimization (MOO) to minimize life cycle cost and environmental impact, often emphasizing energy efficiency. In equatorial climates, unique factors like material selection must be considered. This study assesses the cost-effectiveness of sustainable materials, focusing on envelope materials in Ecuador. The case study is a single-family house in the equatorial climate, optimized using Building Information Modeling (BIM), Life Cycle Assessment (LCA), and Life Cycle Cost Analysis (LCCA). In this study, a MOO process using the weighted sum approach (WSA) identifies sustainable house designs. The sustainable houses achieve a 98% decrease in Ozone Depletion Potential, a 75% reduction in Global Warming Potential, and a 45% drop in Primary Energy Demand, although they still incur a 30% increased cost. The results offer a foundation for cost-effective, eco-friendly housing solutions. Bamboo emerges as a promising material with local acceptance. This research highlights the significance of material selection in sustainable construction and provides a replicable approach for diverse settings. It aims to promote sustainable housing solutions in Ecuador and beyond. Full article
(This article belongs to the Special Issue Building Information Modeling (BIM) in the Perspective of Green Building)
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19 pages, 1398 KiB  
Article
What Drives Infrastructure Participants to Adopt Digital Technology: A Nexus of Internal and External Factors
by Zhixia Qiu, Shifa Wang, Yaxin Hou and Sheng Xu
Sustainability 2023, 15(23), 16229; https://doi.org/10.3390/su152316229 - 23 Nov 2023
Viewed by 2011
Abstract
Given the potential of digital technologies in value-adding and decision support in infrastructure projects, the promotion of digital technologies, how factors of government promotion, technological development, and the organization’s technology capability and capacity influence digital technology adoption is necessary but still unclear. This [...] Read more.
Given the potential of digital technologies in value-adding and decision support in infrastructure projects, the promotion of digital technologies, how factors of government promotion, technological development, and the organization’s technology capability and capacity influence digital technology adoption is necessary but still unclear. This research aims to identify the environmental, technological, and organizational factors, as well as the interactive relationships among them, for infrastructure participants’ intention to adopt digital technologies. The extended Technology Acceptance Model (e-TAM) was used as a theoretical base to develop a hypothesis of the influencing paths of internal and external factors, with perceived usefulness (PU), perceived ease of use (PEU), and perceived image improvement (PII) as critical internal factors, and technological and environmental factors as external factors. The questionnaire survey collected 172 valid responses and structural equation modeling was applied for the hypothesis testing. The model fitting results indicated that intentions of digital adoption are directly influenced by PU as internal factors and environmental factors, while PEU, PII, and technological factors play indirect roles. As the interaction of external and internal factors, environmental factors directly affect PEU, and technological factors significantly correlate with PU. The findings supported most of the hypothesis and contributed to providing guidance for infrastructure participants’ digital adoption practice. Full article
(This article belongs to the Special Issue Building Information Modeling (BIM) in the Perspective of Green Building)
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16 pages, 2144 KiB  
Article
Auto-Evaluation Model for the Prediction of Building Energy Consumption That Combines Modified Kalman Filtering and Long Short-Term Memory
by Fan Yang and Qian Mao
Sustainability 2023, 15(22), 15749; https://doi.org/10.3390/su152215749 - 8 Nov 2023
Viewed by 1014
Abstract
As the world grapples with the challenges posed by climate change and depleting energy resources, achieving sustainability in the construction and operation of buildings has become a paramount concern. The construction and operation of buildings account for a substantial portion of global energy [...] Read more.
As the world grapples with the challenges posed by climate change and depleting energy resources, achieving sustainability in the construction and operation of buildings has become a paramount concern. The construction and operation of buildings account for a substantial portion of global energy consumption and carbon emissions. Hence, the accurate prediction of building energy consumption is indispensable for reducing energy waste, minimizing greenhouse gas emissions, and fostering sustainable urban development. The aspiration to achieve predicted outcomes with remarkable accuracy has emerged as a pivotal objective, coinciding with the burgeoning popularity of deep learning techniques. This paper presents an auto-evaluation model for building energy consumption prediction via Long Short-Term Memory with modified Kalman filtering (LSTM-MKF). Results gleaned from data validation activities evince a notable transformation—a reduction of the maximal prediction error from an initial 83% to a markedly ameliorated 24% through the intervention of the proposed model. The LSTM-MKF model, a pioneering contribution within this paper, clearly exhibits a distinct advantage over the other models in terms of predictive accuracy, as underscored by its superior performance in all three key metrics, including mean absolute error, root mean square error, and mean square error. The model presents excellent potential as a valuable tool for enhancing the precision of predictions of building energy consumption, a pivotal aspect in energy efficiency, smart city development, and the formulation of informed energy policy. Full article
(This article belongs to the Special Issue Building Information Modeling (BIM) in the Perspective of Green Building)
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18 pages, 719 KiB  
Article
Role of Digital Strategy in Managing the Planning Complexity of Mega Construction Projects
by Iliyasu Abdullahi, Casey Watters, Georgios Kapogiannis and Michal K. Lemański
Sustainability 2023, 15(18), 13809; https://doi.org/10.3390/su151813809 - 15 Sep 2023
Cited by 1 | Viewed by 1613
Abstract
Background: This study investigates the potential of digital construction to enhance the planning competence of project managers in dealing with the complexities of mega construction projects. Traditional project strategies often struggle to adapt in dynamic situations, particularly evident in mega construction endeavours. Drawing [...] Read more.
Background: This study investigates the potential of digital construction to enhance the planning competence of project managers in dealing with the complexities of mega construction projects. Traditional project strategies often struggle to adapt in dynamic situations, particularly evident in mega construction endeavours. Drawing inspiration from successful digital strategies in manufacturing, this research proposes that adopting digital techniques could bolster project managers’ ability to navigate complexity during construction, leading to improved infrastructure delivery within budget and on schedule. Methods: Employing a quantitative approach, this study utilized an online questionnaire to gather insights from project managers. The proposed hypothesis was assessed using a one-sample t-test. Additionally, Pearson’s correlation coefficient was employed to gauge the strength of the relationship between various constructs. This approach aimed to determine the extent to which digital construction can support effective complexity management during mega construction projects. Results: The results indicate that digital construction equips project managers with enhanced capabilities to efficiently coordinate and allocate resources in real-time within complex construction environments, thereby optimizing overall project performance. Despite these advantages, the findings also reveal that managers continue to encounter challenges overseeing numerous participants during infrastructure construction. This suggests that while digital construction contributes to improved planning against complexity, addressing the management of multiple stakeholders remains an ongoing challenge. Conclusions: This study presents a novel contribution to the construction industry by demonstrating the potential of synergizing various digital tools throughout construction processes to empower project managers in effectively addressing the complexities inherent in mega construction planning. Furthermore, it underscores how digital construction confers a dynamic advantage for project managers in navigating complexities and enhancing overall project performance. Full article
(This article belongs to the Special Issue Building Information Modeling (BIM) in the Perspective of Green Building)
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17 pages, 9023 KiB  
Article
Time-Varying Mechanical Analysis of Long-Span Spatial Steel Structures Integral Lifting in Construction Basing Building Information Model
by Yang Yang, Hongbo Du, Gang Yao, Xinlong Ma and Wulei Men
Sustainability 2023, 15(14), 11256; https://doi.org/10.3390/su151411256 - 19 Jul 2023
Cited by 2 | Viewed by 2072
Abstract
As sustainable structures like steel structures become more widely used, so do their construction issues. Improper lifting measures of long-span spatial steel structures may delay the construction period and even cause safety accidents. These problems have hindered the realization of sustainable buildings. Few [...] Read more.
As sustainable structures like steel structures become more widely used, so do their construction issues. Improper lifting measures of long-span spatial steel structures may delay the construction period and even cause safety accidents. These problems have hindered the realization of sustainable buildings. Few studies on long-span spatial steel structures considered time-varying mechanical characteristics during the construction process. During the construction process, it will be found that the installed structure does not meet the required accuracy, and the installed content needs to be removed and re-constructed. This will cause idle work and rework, which will result in a waste of resources and is not conducive to sustainable development. Therefore, it is necessary to study the lifting construction process of long-span spatial steel structures and form a refined construction method. Based on the lifting construction process of the maintenance hangar roof of Chengdu Tianfu International Airport, this study proposes a time-varying mechanical analysis method for synchronous and asynchronous integral lifting of long-span space steel structures basing the Building Information Model (BIM). The force on the lifting point is analyzed during the hoisting construction process when the single-point asynchronous integral lifting and the interlaced point asynchronous integral lifting are carried out. The adverse effect of the displacement difference between lifting points during asynchronous integral lifting is proved. It provides a reference for the safe construction of long-span spatial steel structure lifting and also helps to improve the sustainability of construction projects. Full article
(This article belongs to the Special Issue Building Information Modeling (BIM) in the Perspective of Green Building)
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