Towards building digital twin: A computer vision enabled approach jointly using multi-camera and building information model DOI
Xiaoping Zhou, Xiang Li, Yingying Zhu

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115523 - 115523

Published: Feb. 1, 2025

Language: Английский

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

Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments DOI Open Access
Amjad Almusaed, İbrahim Yitmen, Asaad Almssad

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13464 - 13464

Published: Sept. 8, 2023

This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0 into design and construction intelligent, environmentally friendly, long-lasting structures. statement highlights need to shift away current methods seen in 5.0 effectively respond increasing requirement for creative sustainable infrastructures. Modern building techniques have been made more efficient because 6.0’s cutting-edge equipment, digitalization, ecologically concerned methods. The academic community has thoroughly dissected many benefits 5.0. Examples are increased stakeholder involvement, automation, robotics optimization, decision structures based on data, careful resource management. However, difficulties implementing principles laid bare this research. It calls skilled experts who latest technologies, coordinate technical expertise stakeholders, orchestrate interoperable standards, strengthen cybersecurity procedures. study evaluates how well can create smart, long-lasting, sound goal is specify these may revolutionize industry. In addition, research provides an in-depth analysis industry might best adopt 6.0, underscoring sector-wide significance paradigm change. analyzes about big data analytics, IoT, collaborative robotics. To better understand potential pitfalls buildings, examines interaction between organizational dynamics, human actors, robotic systems.

Language: Английский

Citations

48

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

State of the art review on the HVAC occupant-centric control in different commercial buildings DOI
Guanying Huang,

S. Thomas Ng,

Dezhi Li

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110445 - 110445

Published: Aug. 13, 2024

Language: Английский

Citations

30

An integrated framework for sustainable and efficient building maintenance operations aligning with climate change, SDGs, and emerging technology DOI Creative Commons
Ali Hauashdh, Sasitharan Nagapan, Junaidah Jailani

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101822 - 101822

Published: Jan. 26, 2024

Improving the operation and maintenance of buildings can significantly reduce carbon emissions, energy consumption, other environmental challenges while promoting sustainability. While existing literature offers various frameworks, they primarily focus on traditional building procedures overlook importance integrating sustainability, climate change, factors, emerging technologies. To address this gap, research has developed a comprehensive framework that caters to current needs, challenges, future priorities. The integrated for operations aligns with Sustainable Development Goals (SDGs), change mitigation adaptation, adoption technology, conservation, as well safety, resilience, effectiveness. development encompassed four phases: pre-development phases 1 2, phase 3, validation 4. During process, issues were identified, impacts assessed, strategies developed. serves roadmap these requirements in operations, making significant contributions all three dimensions sustainability: environmental, social, economic. In summary, study in-depth analysis issues, potential improvements benefits providing practical guide industry stakeholders contribution body knowledge.

Language: Английский

Citations

29

Application and enabling digital twin technologies in the operation and maintenance stage of the AEC industry: A literature review DOI Open Access
Anshan Zhang, Jian Yang, Feiliang Wang

et al.

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 80, P. 107859 - 107859

Published: Oct. 5, 2023

Language: Английский

Citations

24

Building sustainability through a novel exploration of dynamic LCA uncertainty: Overview and state of the art DOI Creative Commons
Haidar Hosamo, Guilherme B. A. Coelho,

Elsa Buvik

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 264, P. 111922 - 111922

Published: Aug. 8, 2024

Life Cycle Assessment is necessary for evaluating the environmental impacts of buildings throughout their life cycle, considering factors such as energy consumption, emissions, and resource utilization. However, Dynamic introduces a temporal dimension, acknowledging that building's performance evolves due to technological advancements, occupancy behavior, changing conditions. This paper reviews DLCA, focusing on uncertainties arising from parameter, scenario, model variability, emphasizes integration technologies like Building Information Modeling, Internet Things, machine learning enhance real-time data collection predictive analytics. An extensive review 430 papers, refined 180, reveals 55 % publications are in sciences, with significant contributions United Kingdom (27.8 %), France (24.1 China (18.1 %). Key findings include variations embodied greenhouse gas emissions materials aluminum dynamic aspects transportation impacts, which extend beyond traditional metrics operational efficiency over time. Uncertainties all LCA stages (A1 D) addressed, service life, water use, needs. Advanced methodologies, including proposed framework hybrid approach integrates process-based input-output methods, suggested comprehensiveness assessments. The monitoring analytics further improves adaptability precision models, emphasizing necessity continuous updates scenario analyses capture future conditions accurately. study paves way research aimed at mitigating major sources uncertainty, promoting more sustainable building practices, advancing field LCA.

Language: Английский

Citations

14

Utilizing the Kolmogorov-Arnold Networks for Chiller Energy Consumption Prediction in Commercial Building DOI
Mohd Herwan Sulaiman, Zuriani Mustaffa, Muhammad Salihin Saealal

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110475 - 110475

Published: Aug. 15, 2024

Language: Английский

Citations

12

A text analytic framework for gaining insights on the integration of digital twins and machine learning for optimizing indoor building environmental performance DOI Creative Commons
Stylianos Karatzas, Grigorios Papageorgiou, Vasiliki Lazari

et al.

Developments in the Built Environment, Journal Year: 2024, Volume and Issue: 18, P. 100386 - 100386

Published: March 1, 2024

Recent technological advancements in distributed sensing, pervasive computing, context-awareness, machine learning and Digital Twins (DTs) allow the built environment to cope with upcoming challenges a better way than before achieve comfort well-being buildings. This paper takes unique approach by not conducting systematic exhaustive review, that would require enormous effort uncover intricate interdependencies among various subtopics. Instead, it proposes framework leveraging Artificial Intelligence Machine Learning (AI/ML) techniques extract valuable insights from existing literature. Adopting Twin high-level architecture as its foundation, introduces clustering scrutinize Indoor Environmental Quality, Energy Efficiency, Occupant Comfort—key facets influencing indoor building performance. innovative methodology aims provide more nuanced understanding of relationships within these critical aspects harnessing capabilities AI/ML conceptual architecture.

Language: Английский

Citations

11

Chiller energy prediction in commercial building: A metaheuristic-Enhanced deep learning approach DOI
Mohd Herwan Sulaiman, Zuriani Mustaffa

Energy, Journal Year: 2024, Volume and Issue: 297, P. 131159 - 131159

Published: April 4, 2024

Language: Английский

Citations

10