
Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 103173 - 103173
Published: Nov. 1, 2024
Language: Английский
Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 103173 - 103173
Published: Nov. 1, 2024
Language: Английский
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1557 - 1557
Published: Feb. 4, 2025
The integration of digital twins (DTs) in construction is still its infancy compared to other sectors. However, the potential for optimising project lifecycle management significant, promising transformative impacts on safety and operational performance. In this study, evolution technologies preceding DTs explored. A detailed description various platforms where can be implemented discussed parallels are established with sectors, such as manufacturing healthcare, highlighting successful application these fields. key benefits integrating industry complex infrastructure assessed, emphasising that accuracy asset representation crucial their effective utilisation. Moreover, challenges associated recording, storing, accessing both static dynamic data discussed, providing insights into pros cons managing through back-end versus front-end processes. Case studies a transport railway station an educational centre illustrate practical applications advantages DTs, enhanced visual representation, improved understanding dynamics, real-time information integration, collaborative This paper advocates first steps toward establishing European definition standardising relevant
Language: Английский
Citations
1Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115484 - 115484
Published: Feb. 1, 2025
Language: Английский
Citations
1Automation in Construction, Journal Year: 2024, Volume and Issue: 167, P. 105723 - 105723
Published: Aug. 27, 2024
Language: Английский
Citations
5Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115567 - 115567
Published: March 1, 2025
Language: Английский
Citations
0Automation in Construction, Journal Year: 2025, Volume and Issue: 174, P. 106131 - 106131
Published: March 22, 2025
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 21, 2025
Decarbonization is of utmost importance to effectively address climate change, advance environmental sustainability, and protect biodiversity ecosystems. Therefore, developed developing economies are focusing on adopting various approaches achieve zero carbon emissions. Thus, this study attempted generate a meaningful relationship between the circular economy, digitalization, energy transition, eco-friendly trade strategy capture role factors that function attain neutrality. For above-given objectives, dynamic econometric methods, such as cross-sectional autoregressive distributed lag model (CS-ARDL), were adopted assess G7 dataset 1990 2022. These findings suggest parameters under investigation important for achieving neutrality in long term. Moreover, Panel Corrected Standard Errors (PCSe) confirmed every aspect affects Consequently, long-term attainment decarbonization greatly aided by transformation, green trade. significant comprehensive policy changes needed several sectors, development digitization, regulations, sustainable technology, renewable sources.
Language: Английский
Citations
0Architecture, Journal Year: 2025, Volume and Issue: 5(2), P. 29 - 29
Published: April 23, 2025
Digital Twins (DTs) of buildings can generate large volumes dynamic data from various sources (e.g., sensors and IoT devices), enabling real-time representation physical building states in a digital environment. Although machine learning (ML) techniques are increasingly used to predict energy consumption this DT data, existing approaches often lack scalability handling growth (data scalability) and/or adapting evolving patterns (model scalability). This study aims address both drawbacks by developing scalable cloud-based framework for the prediction consumption. A key contribution field is inclusion “monitoring maintenance” module, which continuously evaluates model performance triggers retraining only when needed. enables timely adaptation ML while avoiding unnecessary associated computational costs. The was implemented tested case commercial 90 days, demonstrating its applicability. In practical setting, developed could detect anomalies time accuracy declined below set threshold (70%) five days prevented models. findings support feasibility using implement models buildings.
Language: Английский
Citations
0Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8663 - 8663
Published: Oct. 7, 2024
To date, a plethora of research has been published investigating the value using Digital Twin (DT) technology in construction industry. However, contribution DT to promoting social sustainability industry largely unexplored. Therefore, current paper aims address this gap by exploring untapped potential advancing within end, comprehensive systematic literature review was conducted, which identified 298 relevant studies. These studies were subsequently analysed with respect their use supporting sustainability. The findings indicated that contributed 8 17 UN Sustainable Development Goals (SDGs), strong focus on SDG11 (77 publications), followed SDG3 and SDG9, 58 48 studies, respectively, focusing health well-being fostering resilient infrastructure innovation. Other contributions for SDG13 (30 studies), SDG7 (27 SDG12 (26 SDG4 (21 SDG6 (11 covering areas such as climate action, responsible consumption, affordable energy, quality education, clean water sanitation. This also proposes future directions further enhance include (i) enhancing inclusivity diversity, (ii) workforce safety well-being, (iii) training skill development, (iv) policy regulatory support, (v) cross-disciplinary collaboration.
Language: Английский
Citations
3Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111481 - 111481
Published: Dec. 1, 2024
Language: Английский
Citations
2Journal of Construction Engineering and Management, Journal Year: 2024, Volume and Issue: 151(1)
Published: Oct. 29, 2024
Language: Английский
Citations
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