Assessing the Global Warming Potential of a Novel Hybrid Timber-Based Façade System Through Life Cycle and Considering Future Climate Conditions DOI Creative Commons
Guilherme B. A. Coelho,

Elsa Buvik,

Haidar Hosamo

et al.

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1243 - 1255

Published: Jan. 1, 2025

Language: Английский

Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions DOI Creative Commons
Victor Adetunji Arowoiya, Robert Moehler, Yihai Fang

et al.

Energy and Built Environment, Journal Year: 2023, Volume and Issue: 5(5), P. 641 - 656

Published: May 16, 2023

In recent years, the integration of digital technologies has grown rapidly in field thermal comfort and energy efficiency for buildings. The concept a twin, incorporating multiple technologies, gained increasing attention. literature lacks review twin consumption existing This paper conducts current state-of-the-art (DT) technology comfort/ employs scientometric approach examines various used creating DTs systematic analysis methods, algorithms, approaches experiments. results show growing number studies this area, with focus on monitoring, visualization, tracking, management, prediction, optimization Furthermore, prediction using algorithms such as Artificial Neural Networks (ANN), Intelligence (AI), deep neural networks, YOLOv4 have been However, wider adoption DT that can facilitate occupants, sensations, enhance human-centered solutions, improve levels are necessary. There is need further international collaboration to expand twins efficiency. highlights limitations areas improvement, limited sensors environmental measures, more subjective perception comparative predicting consumption. Further be conducted understanding occupant psychological responses/behaviors world. will consolidated robust validation building performance.

Language: Английский

Citations

82

Digital Twins in the Construction Industry: A Comprehensive Review of Current Implementations, Enabling Technologies, and Future Directions DOI Open Access
Hossein Omrany, Karam M. Al-Obaidi,

A. Sakeer Husain

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(14), P. 10908 - 10908

Published: July 12, 2023

This paper presents a comprehensive understanding of current digital twin (DT) implementations in the construction industry, along with providing an overview technologies enabling operation DTs industry. To this end, 145 publications were identified using systematic literature review. The results revealed eight key areas DT implementation including (i) virtual design, (ii) project planning and management, (iii) asset management maintenance, (iv) safety (v) energy efficiency sustainability, (vi) quality control (vii) supply chain logistics, (viii) structural health monitoring. findings demonstrate that technology has capacity to revolutionise industry across these areas, optimised designs, improved collaboration, real-time monitoring, predictive enhanced practices, performance optimisation, inspections, efficient proactive maintenance. study also several challenges hinder widespread construction, data integration interoperability, accuracy completeness, scalability complexity, privacy security, standards governance. address challenges, recommends prioritising standardised formats, protocols, APIs for seamless exploring semantic modelling ontologies integration, implementing validation processes robust governance harnessing high-performance computing advanced techniques establishing protection access controls developing widely accepted frameworks industry-wide collaboration. By addressing can unlock full potential technology, thus enhancing safety, reliability, projects.

Language: Английский

Citations

70

Improving building occupant comfort through a digital twin approach: A Bayesian network model and predictive maintenance method DOI Creative Commons
Haidar Hosamo Hosamo, Henrik Kofoed Nielsen, Dimitrios Kraniotis

et al.

Energy and Buildings, Journal Year: 2023, Volume and Issue: 288, P. 112992 - 112992

Published: March 23, 2023

This study introduces a Bayesian network model to evaluate the comfort levels of occupants two non-residential Norwegian buildings based on data collected from satisfaction surveys and building performance parameters. A Digital Twin approach is proposed integrate information modeling (BIM) with real-time sensor data, occupant feedback, probabilistic detect predict HVAC issues that may impact comfort. The also uses 200000 points as historical various sensors understand previous systems' behavior. presents new methods for using BIM visualization platform predictive maintenance identify address problems in system. For maintenance, nine machine learning algorithms were evaluated metrics such ROC, accuracy, F1-score, precision, recall, where Extreme Gradient Boosting (XGB) was best algorithm prediction. XGB average 2.5% more accurate than Multi-Layer Perceptron (MLP), up 5% other models. Random Forest around 96% faster XGBoost while being relatively easier implement. paper novel method utilizes several standards determine remaining useful life HVAC, leading potential increase its lifetime by at least 10% resulting significant cost savings. result shows most important factors affect are poor air quality, lack natural light, uncomfortable temperature. To challenge applying these wide range buildings, proposes framework ontology graphs different systems, including FM, CMMS, BMS, BIM. study's results provide insight into influence comfort, help expedite identifying equipment malfunctions point towards solutions, sustainable energy-efficient buildings.

Language: Английский

Citations

58

Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy DOI Creative Commons
Faham Tahmasebinia, Lin Lin,

Shuo Wu

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(15), P. 8814 - 8814

Published: July 30, 2023

Buildings consume a significant amount of energy throughout their lifecycle; Thus, sustainable management is crucial for all buildings, and controlling consumption has become increasingly important achieving construction. Digital twin (DT) technology, which lies at the core Industry 4.0, gained widespread adoption in various fields, including building analysis. With ability to monitor, optimize, predict real time. DT technology enabled cost reduction. This paper provides comprehensive review development application energy. Specifically, it discusses background information modeling (BIM) optimization buildings. Additionally, this article reviews management, indoor environmental monitoring, efficiency evaluation. It also examines benefits challenges implementing analysis highlights recent case studies. Furthermore, emphasizes emerging trends opportunities future research, integrating machine learning techniques with technology. The use sector gaining momentum as efforts optimize reduce carbon emissions continue. advancement technologies expected enhance prediction accuracy, efficiency, improve processes. These advancements have focal point current literature potential facilitate transition clean energy, ultimately goals.

Language: Английский

Citations

45

Developing an integrative framework for digital twin applications in the building construction industry: A systematic literature review DOI
Wuyan Long, Zhikang Bao, Ke Chen

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 59, P. 102346 - 102346

Published: Jan. 1, 2024

Language: Английский

Citations

34

A BIM-enabled digital twin framework for real-time indoor environment monitoring and visualization by integrating autonomous robotics, LiDAR-based 3D mobile mapping, IoT sensing, and indoor positioning technologies DOI
Xi Hu, Rayan H. Assaad

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 86, P. 108901 - 108901

Published: Feb. 21, 2024

Language: Английский

Citations

26

Improve predictive maintenance through the application of artificial intelligence: A systematic review DOI Creative Commons
Anthony D. Scaife

Results in Engineering, Journal Year: 2023, Volume and Issue: 21, P. 101645 - 101645

Published: Dec. 3, 2023

Facility operations and maintenance are defined as the functions, duties, labor required daily to operate preserve a facility asset ensure its original function is available for primary use functions maintained throughout facility's life. Organizations, management professionals, their stakeholders expend billions of dollars annually perform this in United States. Much cost on inadequate that may be avoided. Utilizing theoretical lens adaptive structuration theory, rapid evidence assessment shall review current body scholarly literature identify how artificial intelligence can used with predictive reduce program's costs. Through an organized systematic process, research utilize peer-reviewed articles published within last 5 years operations. assessment, finds three common themes respond question. The most significant theme intelligence, once implemented provides unbiased investment repair recommendations from analyzed data. An unanticipated discovery interest identifies insufficient data number one barrier full implementation program.

Language: Английский

Citations

28

An Overview of Smart Materials and Technologies for Concrete Construction in Cold Weather DOI Creative Commons
Jonny Nilimaa, Vasiola Zhaka

Eng—Advances in Engineering, Journal Year: 2023, Volume and Issue: 4(2), P. 1550 - 1580

Published: May 31, 2023

Cold weather conditions pose significant challenges to the performance and durability of concrete materials, construction processes, structures. This paper aims provide a comprehensive overview material-related in cold construction, including slow setting, reduced curing rate, slower strength development, as well frost damage, early freezing, freeze–thaw actions. Various innovative materials technologies may be implemented address these challenges, such optimizing mix proportions, chemical admixtures, supplementary cementitious advanced techniques. The also examines impact weather-related for personnel, equipment, machinery environments highlights importance effective planning, communication, management strategies. Results indicate that successful implementation appropriate strategies can mitigate reduce time, enhance performance, durability, sustainability structures freezing temperatures. emphasizes staying updated about latest advancements best practices field. Future trends include development smart functional manufacturing techniques, integrated design, optimization tools, all with strong focus on resilience.

Language: Английский

Citations

23

The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis DOI
Zeyu Sun, Runtong Zhang, Xiaomin Zhu

et al.

Journal of Manufacturing Systems, Journal Year: 2024, Volume and Issue: 74, P. 1 - 15

Published: Feb. 29, 2024

Language: Английский

Citations

15

Integrating Digital Twins with BIM for Enhanced Building Control Strategies: A Systematic Literature Review Focusing on Daylight and Artificial Lighting Systems DOI Creative Commons
Martin Hauer, Sascha Hammes, P Zech

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(3), P. 805 - 805

Published: March 15, 2024

In the architecture, engineering, and construction industries, integration of Building Information Modeling (BIM) has become instrumental in shaping design commissioning smart buildings. At center this development is pursuit more intelligent, efficient, sustainable built environments. The emergence buildings equipped with advanced sensor networks automation systems increasingly requires implementation Digital Twins (DT) for direct coupling BIM methods integral building planning, commissioning, operational monitoring. While simulation tools exist phase developing controls, their mapping to or post-construction models less well developed. Through systematic, keyword-based literature research on publisher-independent databases, review paper gives a comprehensive overview state control primary focus combined controls daylight artificial lighting systems. review, supported by bibliometric analysis, highlights major fields HVAC failure detection, fire-detection systems, while still at an early stage development. addition already existing reviews context planning methods, particularly intends build necessary knowledge base further motivate activities integrate simulation-based process close gap between implementation, commissioning.

Language: Английский

Citations

14