
Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1243 - 1255
Published: Jan. 1, 2025
Language: Английский
Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1243 - 1255
Published: Jan. 1, 2025
Language: Английский
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
82Sustainability, 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
70Energy 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
58Applied 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
45Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 59, P. 102346 - 102346
Published: Jan. 1, 2024
Language: Английский
Citations
34Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 86, P. 108901 - 108901
Published: Feb. 21, 2024
Language: Английский
Citations
26Results 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
28Eng—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
23Journal of Manufacturing Systems, Journal Year: 2024, Volume and Issue: 74, P. 1 - 15
Published: Feb. 29, 2024
Language: Английский
Citations
15Buildings, 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