Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (144)

Search Parameters:
Keywords = physical replica

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
16 pages, 993 KiB  
Review
The Application of Digital Twin Technology in the Development of Intelligent Aquaculture: Status and Opportunities
by Jianlei Chen, Yong Xu, Hao Li, Xinguo Zhao, Yang Su, Chunhao Qi, Keming Qu and Zhengguo Cui
Fishes 2025, 10(8), 363; https://doi.org/10.3390/fishes10080363 - 25 Jul 2025
Viewed by 282
Abstract
Aquaculture is vital for global food security but faces challenges like disease, water quality control, and resource optimization. Digital twin technology, a real-time virtual replica of physical aquaculture systems, emerges as a transformative solution. By integrating sensors and data analytics, it enables monitoring [...] Read more.
Aquaculture is vital for global food security but faces challenges like disease, water quality control, and resource optimization. Digital twin technology, a real-time virtual replica of physical aquaculture systems, emerges as a transformative solution. By integrating sensors and data analytics, it enables monitoring and optimization of water quality, feed efficiency, fish health, and operations. This review explores the current adoption status of digital twins in aquaculture, highlighting applications in real-time monitoring and system optimization. It addresses key implementation challenges, including data integration and scalability, and identifies emerging opportunities for advancing sustainable, intelligent aquaculture practices. Full article
(This article belongs to the Special Issue Application of Artificial Intelligence in Aquaculture)
Show Figures

Figure 1

5 pages, 488 KiB  
Proceeding Paper
Digital Twins for Circular Economy Optimization: A Framework for Sustainable Engineering Systems
by Shubham Gupta
Proceedings 2025, 121(1), 4; https://doi.org/10.3390/proceedings2025121004 - 16 Jul 2025
Viewed by 286
Abstract
This paper introduces sustainable engineering systems built using digital twin technology and circular economy principles. This research presents a framework for monitoring, modeling, and making decisions in real timusing virtual replicas of physical products, processes, and systems in product lifecycles. A digital twin [...] Read more.
This paper introduces sustainable engineering systems built using digital twin technology and circular economy principles. This research presents a framework for monitoring, modeling, and making decisions in real timusing virtual replicas of physical products, processes, and systems in product lifecycles. A digital twin was used to show that through a digital twin, waste was reduced by 27%, energy consumption was reduced by 32%, and the resource recovery rate increased to 45%. The proposed approach under the framework employs various machine learning algorithms, IoT sensor networks, and advanced data analytics to support closed-loop flows of materials. The results show how digital twins can enhance progress toward the goals the circular economy sets to identify inefficiencies, predict maintenance needs, and optimize the use of resources. This integration is a promising industry approach that will introduce more sustainable operations and maintain economic viability. Full article
Show Figures

Figure 1

22 pages, 6369 KiB  
Review
Architectural Design for Digital Twin Networks
by Jorg Wieme, Mathias Baert and Jeroen Hoebeke
Network 2025, 5(3), 24; https://doi.org/10.3390/network5030024 - 9 Jul 2025
Viewed by 299
Abstract
Digital Twin Networks are advanced digital replicas of physical network infrastructures, offering real-time monitoring, analysis, and optimization capabilities. Despite their potential, the absence of a standardized definition and implementation guidelines complicates practical deployment. The existing literature often lacks clarity on tool selection and [...] Read more.
Digital Twin Networks are advanced digital replicas of physical network infrastructures, offering real-time monitoring, analysis, and optimization capabilities. Despite their potential, the absence of a standardized definition and implementation guidelines complicates practical deployment. The existing literature often lacks clarity on tool selection and implementation specifics. In response, this paper aims to address these challenges by providing a complete guide and reference list of essential tools to implement Digital Twin Networks. Following the current research and work-in-progress from the definition initiative, including our own contributions, we propose a structured approach to Digital Twin Network implementation. Our methodology integrates insights from diverse sources to establish a coherent framework for developers and researchers. By synthesizing insights from the literature and practical experience, we define key components and functionalities critical to Digital Twin Network architecture. Additionally, we highlight challenges inherent to Digital Twin Network implementation and offer strategic approaches and mindsets for addressing them. This includes considerations for scalability, interoperability, real-time communication, data modeling, and security, ensuring a holistic approach to building effective Digital Twin Network systems. Full article
Show Figures

Figure 1

25 pages, 2820 KiB  
Article
Fault Detection of Cyber-Physical Systems Using a Transfer Learning Method Based on Pre-Trained Transformers
by Pooya Sajjadi, Fateme Dinmohammadi and Mahmood Shafiee
Sensors 2025, 25(13), 4164; https://doi.org/10.3390/s25134164 - 4 Jul 2025
Viewed by 596
Abstract
As industries become increasingly dependent on cyber-physical systems (CPSs), failures within these systems can cause significant operational disruptions, underscoring the critical need for effective Prognostics and Health Management (PHM). The large volume of data generated by CPSs has made deep learning (DL) methods [...] Read more.
As industries become increasingly dependent on cyber-physical systems (CPSs), failures within these systems can cause significant operational disruptions, underscoring the critical need for effective Prognostics and Health Management (PHM). The large volume of data generated by CPSs has made deep learning (DL) methods an attractive solution; however, imbalanced datasets and the limited availability of fault-labeled data continue to hinder their effective deployment in real-world applications. To address these challenges, this paper proposes a transfer learning approach using a pre-trained transformer architecture to enhance fault detection performance in CPSs. A streamlined transformer model is first pre-trained on a large-scale source dataset and then fine-tuned end-to-end on a smaller dataset with a differing data distribution. This approach enables the transfer of diagnostic knowledge from controlled laboratory environments to real-world operational settings, effectively addressing the domain shift challenge commonly encountered in industrial CPSs. To evaluate the effectiveness of the proposed method, extensive experiments are conducted on publicly available datasets generated from a laboratory-scale replica of a modern industrial water purification facility. The results show that the model achieves an average F1-score of 93.38% under K-fold cross-validation, outperforming baseline models such as CNN and LSTM architectures, and demonstrating the practicality of applying transformer-based transfer learning in industrial settings with limited fault data. To enhance transparency and better understand the model’s decision process, SHAP is applied for explainable AI (XAI). Full article
(This article belongs to the Special Issue Sensors and IoT Technologies for the Smart Industry)
Show Figures

Figure 1

22 pages, 15463 KiB  
Article
Contrasting Physical and Virtual Museum Experiences: A Study of Audience Behavior in Replica-Based Environments
by Haojun Xu, Yuzhi Li and Feng Tian
Sensors 2025, 25(13), 4046; https://doi.org/10.3390/s25134046 - 29 Jun 2025
Viewed by 602
Abstract
This study explores the differences in audience behavior between virtual museums and physical museums. The replica-based virtual museum (RVM) was developed to replicate the exhibit layout of physical museums and support multi-user online visits. The study introduces the RVM-Interaction (RVM-I), which incorporates interactive [...] Read more.
This study explores the differences in audience behavior between virtual museums and physical museums. The replica-based virtual museum (RVM) was developed to replicate the exhibit layout of physical museums and support multi-user online visits. The study introduces the RVM-Interaction (RVM-I), which incorporates interactive features to enhance user engagement. In the experiment, 24 participants experienced a physical museum (PM), RVM, RVM-I, and a traditional PC-based virtual museum, with their impressions and behavioral patterns recorded. The results indicate no significant differences between RVM and PM in terms of satisfaction, immersion, aesthetic experience, and social interaction. RVM-I significantly enhanced the participants’ experience through its interactive capabilities. Path analysis shows that both RVM and RVM-I improved audience efficiency, with RVM-I transforming the circumferential, space-based art appreciation found in PM and RVM into a stationary, space-based form, making RVM-I more engaging than RVM. These findings offer valuable insights for the design and development of virtual museum experiences that maintain spatial fidelity to physical exhibitions while enhancing user engagement through interactivity. Full article
Show Figures

Figure 1

26 pages, 12914 KiB  
Article
Copy/Past: A Hauntological Approach to the Digital Replication of Destroyed Monuments
by Giovanni Lovisetto
Heritage 2025, 8(7), 255; https://doi.org/10.3390/heritage8070255 - 27 Jun 2025
Viewed by 700
Abstract
This article offers a critical analysis of two ‘replicas’ of monuments destroyed by ISIL in 2015: the Institute for Digital Archaeology’s Arch of Palmyra (2016) and the lamassu from Nimrud, exhibited in the Rinascere dalle Distruzioni exhibition (2016). Drawing on Jacques Derrida’s formulation [...] Read more.
This article offers a critical analysis of two ‘replicas’ of monuments destroyed by ISIL in 2015: the Institute for Digital Archaeology’s Arch of Palmyra (2016) and the lamassu from Nimrud, exhibited in the Rinascere dalle Distruzioni exhibition (2016). Drawing on Jacques Derrida’s formulation of hauntology and Umberto Eco’s theory of forgery, this study examines the ontological, ethical, and ideological stakes of digitally mediated replication. Rather than treating digital and physical ‘copies’ as straightforward reproductions of ancient ‘originals’, the essay reframes them as specters: material re-appearances haunted by loss, technological mediation, and political discourses. Through a close analysis of production methods, rhetorical framings, media coverage, and public reception, it argues that presenting such ‘replicas’ as faithful restorations or acts of cultural resurrection collapses a hauntological relationship into a false ontology. The article thus shows how, by concealing the intermediary, spectral role of digital modeling, such framings enable the symbolic use of these ‘replicas’ as instruments of Western technological triumphalism and digital colonialism. This research calls for a critical approach that recognizes the ontological peculiarities of such replicas, foregrounds their reliance on interpretive rather than purely mechanical processes, and acknowledges the ideological weight they carry. Full article
(This article belongs to the Special Issue Past for the Future: Digital Pathways in Cultural Heritage)
Show Figures

Figure 1

42 pages, 6265 KiB  
Review
A Review of Digital Twinning Applications for Floating Offshore Wind Turbines: Insights, Innovations, and Implementation
by Ibrahim Engin Taze, Md Armanul Hoda, Irene Miquelez, Payton Maddaloni and Saeed Eftekhar Azam
Energies 2025, 18(13), 3369; https://doi.org/10.3390/en18133369 - 26 Jun 2025
Viewed by 1121
Abstract
This paper presents a comprehensive literature review on the digital twinning of floating offshore wind turbines (FOWTs). In this study, the digital twin (DT) is defined as a dynamic virtual model that accurately mirrors a physical system throughout its lifecycle, continuously updated with [...] Read more.
This paper presents a comprehensive literature review on the digital twinning of floating offshore wind turbines (FOWTs). In this study, the digital twin (DT) is defined as a dynamic virtual model that accurately mirrors a physical system throughout its lifecycle, continuously updated with real-time data and use simulations, machine learning, and analytics to support informed decision-making. The recent advancements and major issues have been introduced, which need to be addressed before realizing a FOWT DT that can be effectively used for life extension and operation and maintenance planning. This review synthesizes relevant literature reviews focused on modeling FOWT and its specific components along with the latest research. It specifically focuses on the structural, mechanical, and energy production components of FOWTs within the DT framework. The state of the art DT for FOWT, or large scale operational civil and energy infrastructure, is not yet matured to perform real-time update of digital replicas of these systems. The main barriers include real-time coupled modeling with high fidelity, the design of sensor networks, and optimization methods that synergize the sensor data and simulations to calibrate the model. Based on the literature survey provided in this paper, one of the main barriers is uncertainty associated with the external loads applied to FOWT. In this review paper, a robust method for inverse analysis in the absence of load information has been introduced and validated by using simulated experiments. Furthermore, the regulatory requirements have been provided for FOWT life extension and the potential of DT in achieving that. Full article
Show Figures

Figure 1

22 pages, 2229 KiB  
Article
A Structured Data Model for Asset Health Index Integration in Digital Twins of Energy Converters
by Juan F. Gómez Fernández, Eduardo Candón Fernández and Adolfo Crespo Márquez
Energies 2025, 18(12), 3148; https://doi.org/10.3390/en18123148 - 16 Jun 2025
Viewed by 460
Abstract
A persistent challenge in digital asset management is the lack of standardized models for integrating health assessment—such as the Asset Health Index (AHI)—into Digital Twins, limiting their extended implementation beyond individual projects. Asset managers in the energy sector face challenges of digitalization such [...] Read more.
A persistent challenge in digital asset management is the lack of standardized models for integrating health assessment—such as the Asset Health Index (AHI)—into Digital Twins, limiting their extended implementation beyond individual projects. Asset managers in the energy sector face challenges of digitalization such as digital environment selection, employed digital modules (absence of an architecture guide) and their interconnection, sources of data, and how to automate the assessment and provide the results in a friendly decision support system. Thus, for energy systems, the integration of Asset Assessment in virtual replicas by Digital Twins is a complete way of asset management by enabling real-time monitoring, predictive maintenance, and lifecycle optimization. Another challenge in this context is how to compound in a structured assessment of asset condition, where the Asset Health Index (AHI) plays a critical role by consolidating heterogeneous data into a single, actionable indicator easy to interpret as a level of risk. This paper tries to serve as a guide against these digital and structured assessments to integrate AHI methodologies into Digital Twins for energy converters. First, the proposed AHI methodology is introduced, and after a structured data model specifically designed, orientated to a basic and economic cloud implementation architecture. This model has been developed fulfilling standardized practices of asset digitalization as the Reference Architecture Model for Industry 4.0 (RAMI 4.0), organizing asset-related information into interoperable domains including physical hierarchy, operational monitoring, reliability assessment, and risk-based decision-making. A Unified Modeling Language (UML) class diagram formalizes the data model for cloud Digital Twin implementation, which is deployed on Microsoft Azure Architecture using native Internet of Things (IoT) and analytics services to enable automated and real-time AHI calculation. This design and development has been realized from a scalable point of view and for future integration of Machine-Learning improvements. The proposed approach is validated through a case study involving three high-capacity converters in distinct operating environments, showing the model’s effective assistance in anticipating failures, optimizing maintenance strategies, and improving asset resilience. In the case study, AHI-based monitoring reduced unplanned failures by 43% and improved maintenance planning accuracy by over 30%. Full article
(This article belongs to the Section A1: Smart Grids and Microgrids)
Show Figures

Figure 1

14 pages, 17880 KiB  
Proceeding Paper
Beyond the Museum: Virtual and Physical Replicas of Pompeii’s Siege Marks
by Filippo Fantini and Silvia Bertacchi
Eng. Proc. 2025, 96(1), 11; https://doi.org/10.3390/engproc2025096011 - 10 Jun 2025
Viewed by 331
Abstract
This study investigates the potential of reality-based 3D digital modeling, acquired for scientific purposes, to enhance the understanding and accessibility of ballistic imprints on Pompeii’s city walls. These impact marks, attributed to the Sullan siege of 89 BC, were caused by projectiles launched [...] Read more.
This study investigates the potential of reality-based 3D digital modeling, acquired for scientific purposes, to enhance the understanding and accessibility of ballistic imprints on Pompeii’s city walls. These impact marks, attributed to the Sullan siege of 89 BC, were caused by projectiles launched by Roman elastic torsion weapons. High-resolution models were acquired through integrated 3D survey techniques to create both virtual and physical replicas. These assets enhance museum accessibility, offering interactive digital content and tactile 3D-printed replicas for visually impaired and mobility-restricted visitors. The findings highlight the role of digital heritage in archaeological research, conservation, and public engagement, bridging the gap between academic study and inclusive cultural dissemination. Full article
Show Figures

Figure 1

18 pages, 2158 KiB  
Article
Relationship Between Forest Structure and Soil Characteristics with Flooded and Non-Flooded Rainforests of Northern Amazonia (Brazil)
by Edyrlli Naele Barbosa Pimentel, Lucas Botelho Jerônimo, Manoel Tavares de Paula, María Vanessa Lencinas, Guillermo Martínez Pastur and Gerardo Rubio
Forests 2025, 16(5), 793; https://doi.org/10.3390/f16050793 - 9 May 2025
Viewed by 543
Abstract
Environmental variability modifies forest structure through interactions among soil properties, topography, and climate. These factors influence the occurrence of contrasting forest types in northern Amazonia (Brazil), such as forests in highlands (Terra Firme) and forests under regular flooding (Várzea). Flooding regimes influence soil [...] Read more.
Environmental variability modifies forest structure through interactions among soil properties, topography, and climate. These factors influence the occurrence of contrasting forest types in northern Amazonia (Brazil), such as forests in highlands (Terra Firme) and forests under regular flooding (Várzea). Flooding regimes influence soil formation and modify soil geochemistry, nutrient distribution, and organic matter accumulation, shaping forest structure and composition. The objective was to determine the relationships between structure and soil characteristics in non-flooded and flooded tropical forests. We compared forest structure and soil characteristics at both conditions (n = 2 treatments × 20 replicas = 40 plots) using univariate and multivariate analyses. We found significant differences in most of the studied variables between forest types, both chemical and physical properties. Our results showed that flooding defines forest structure and composition (e.g., tree density, height, and volume) and influences soil nutrient characteristics. Floodplain forests exhibited higher soil nutrient concentration and organic carbon content, likely due to periodic litter accumulation, sediments, and reduced decomposition rates. In contrast, non-flooded forests were characterized by lower nutrient levels, higher sand content, and greater forest structure values (e.g., height, basal area, and volume). These insights contribute to understanding the functioning of both forest ecosystems. Full article
Show Figures

Figure 1

15 pages, 1686 KiB  
Entry
Metaverse City: Conceptual Views and Formation Factors Towards the Digital Society
by Giovana Goretti Feijó Almeida
Encyclopedia 2025, 5(2), 62; https://doi.org/10.3390/encyclopedia5020062 - 7 May 2025
Viewed by 1069
Definition
The “metaverse city” is defined as an immersive, interactive, and experiential digital environment that replicates or reinvents elements of physical cities, inserting them into an alternative reality. This concept involves transposing the urban, social, and cultural aspects of real cities into the metaverse, [...] Read more.
The “metaverse city” is defined as an immersive, interactive, and experiential digital environment that replicates or reinvents elements of physical cities, inserting them into an alternative reality. This concept involves transposing the urban, social, and cultural aspects of real cities into the metaverse, thus creating new ways of interacting with and experiencing urban space. Thus, it is not necessarily a digital replica of a physical city; however, it is invariably distinguished by its immersive nature, offering users a sensory and interactive experience. This concept goes beyond the mere digital replication of a city, evolving into a multifaceted space that integrates urban, social, cultural, and technological elements. It is shaped by digital interactions mediated by social actors (users), whose relationships in the metaverse are influenced by the power dynamics occurring in the virtual environment, much like in physical cities. The metaverse city is not merely an extension of the physical city; rather, it is a digital construct that enables alternative ways of living and relating to urban space. Consequently, it is a dynamic and ever-evolving construct, contingent on the active engagement of multiple social actors and their interactions for its consolidation. without the strategic involvement of diverse social actors, the identity and practices that characterize this contemporary urban entity—made possible by emerging technologies—risk losing their viability. Full article
(This article belongs to the Collection Encyclopedia of Digital Society, Industry 5.0 and Smart City)
Show Figures

Figure 1

17 pages, 2743 KiB  
Article
DeepRT: A Hybrid Framework Combining Large Model Architectures and Ray Tracing Principles for 6G Digital Twin Channels
by Mingyue Li, Tao Wu, Zhirui Dong, Xiao Liu, Yiwen Lu, Shuo Zhang, Zerui Wu, Yuxiang Zhang, Li Yu and Jianhua Zhang
Electronics 2025, 14(9), 1849; https://doi.org/10.3390/electronics14091849 - 1 May 2025
Viewed by 620
Abstract
With the growing demand for wireless communication, the sixth-generation (6G) wireless network will be more complex. The digital twin channel (DTC) is envisioned as a promising enabler for 6G, as it can create an online replica of the physical channel characteristics in the [...] Read more.
With the growing demand for wireless communication, the sixth-generation (6G) wireless network will be more complex. The digital twin channel (DTC) is envisioned as a promising enabler for 6G, as it can create an online replica of the physical channel characteristics in the digital world, thereby supporting precise and adaptive communication decisions for 6G. In this article, we systematically review and summarize the existing efforts in realizing the DTC, providing a comprehensive analysis of ray tracing (RT), artificial intelligence (AI), and large model approaches. Based on this analysis, we further explore the potential of integrating large models with RT methods. By leveraging the strong generalization, multi-task processing capabilities, and multi-modal fusion capabilities of large models while incorporating physical priors from RT as expert knowledge to guide their training, there is a strong possibility of fulfilling the fast online inference and precise mapping requirements of the DTC. Therefore, we propose a novel DeepRT-enabled DTC (DRT-DTC) framework, which combines physical laws with large models like DeepSeek, offering a new vision for realizing the DTC. Two case studies are presented to demonstrate the possibility of this approach, which validate the effectiveness of physical law-based AI methods and large models in generating the DTC. Full article
(This article belongs to the Special Issue Integrated Sensing and Communications for 6G)
Show Figures

Figure 1

20 pages, 6941 KiB  
Review
Random Lasers Based on Tellurite and Germanate Glasses and Glass-Ceramics Doped with Rare-Earth Ions
by Davinson M. da Silva, Josivanir G. Câmara, Niklaus U. Wetter, Jessica Dipold, Luciana R. P. Kassab and Cid B. de Araújo
Micromachines 2025, 16(5), 550; https://doi.org/10.3390/mi16050550 - 30 Apr 2025
Viewed by 360
Abstract
Random lasers (RLs) based on glasses and glass-ceramics doped with rare-earth ions (REI) deserve great attention because of their specific physical properties such as large thermal stability, possibility to operate at high intensities, optical wavelength tunability, and prospects to operate Fiber-RLs, among other [...] Read more.
Random lasers (RLs) based on glasses and glass-ceramics doped with rare-earth ions (REI) deserve great attention because of their specific physical properties such as large thermal stability, possibility to operate at high intensities, optical wavelength tunability, and prospects to operate Fiber-RLs, among other characteristics of interest for photonic applications. In this article, we present a brief review of experiments with RLs based on tellurite and germanate glasses and glass-ceramics doped with neodymium (Nd³⁺), erbium (Er³⁺), and ytterbium (Yb³⁺) ions. The glass samples were fabricated using the melt-quenching technique followed by controlled crystallization to achieve the glass-ceramics. Afterwards, the samples were crushed to obtain the powder samples for the RLs experiments. The experiments demonstrated RLs emissions at various wavelengths, with feedback mechanisms due to light scattering at grain/air and crystalline/glass interfaces. The phenomenon of replica symmetry breaking was verified through statistical analysis of the RLs intensity fluctuations, indicating a photonic phase-transition (corresponding to the RL threshold) analogous to the paramagnetic-to-spin glass transition in magnetic materials. The various results reported here highlight the potential of glasses and glass-ceramics for the development of RLs with improved performance in terms of reduction of laser threshold and large lifetime of the active media in comparison with organic materials. Full article
(This article belongs to the Collection Microdevices and Applications Based on Advanced Glassy Materials)
Show Figures

Figure 1

17 pages, 9306 KiB  
Article
Research on the Digital Twin System for Rotation Construction Monitoring of Cable-Stayed Bridge Based on MBSE
by Yuhan Zhang, Yimeng Zhao, Zhiyi Li, Wei He and Yi Liu
Buildings 2025, 15(9), 1492; https://doi.org/10.3390/buildings15091492 - 28 Apr 2025
Viewed by 542
Abstract
Digital twin is a virtual replica of a physical system that updates in real time using sensor data to enable simulations and predictions. For bridges constructed using rotation construction methods, the rotation phase demands continuous monitoring of structural behavior and coordination with surrounding [...] Read more.
Digital twin is a virtual replica of a physical system that updates in real time using sensor data to enable simulations and predictions. For bridges constructed using rotation construction methods, the rotation phase demands continuous monitoring of structural behavior and coordination with surrounding traffic infrastructure. Therefore, a digital twin system for monitoring rotation construction is vital to ensure safety and schedule compliance. This paper explores the application of model-based systems engineering (MBSE), a modern approach that replaces text-based documentation with visual system models, to design a digital twin system for monitoring the rotation construction of a 90 m + 90 m single-tower cable-stayed bridge. A V-model architecture for the digital twin system, based on requirements analysis, functional analysis, logical design, and physical design analysis (RFLP), is proposed. Based on SysML language, the system’s requirements, functions, behaviors, and other aspects are modeled and analyzed using the MBSE approach, converting all textual specifications into the unified visual models. Compared to the traditional document-driven method, MBSE improves design efficiency by reducing ambiguities in system specifications and enabling early detection of design flaws through simulations. The digital twin system allows engineers to predict potential risks during bridge rotation and optimize construction plans before implementation. These advancements demonstrate how MBSE supports proactive problem-solving (forward design) and provides a robust foundation for future model validation and engineering applications. Full article
(This article belongs to the Section Construction Management, and Computers & Digitization)
Show Figures

Figure 1

34 pages, 1508 KiB  
Review
Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review
by Labouda Ba, Fatma Tangour, Ikram El Abbassi and Rafik Absi
Sustainability 2025, 17(8), 3560; https://doi.org/10.3390/su17083560 - 15 Apr 2025
Cited by 1 | Viewed by 6225
Abstract
Digital Twin (DT) technology is emerging as a powerful tool for optimizing energy efficiency and industrial sustainability. By creating virtual replicas of physical systems, DTs enable real-time monitoring, predictive maintenance, and resource optimization, offering new opportunities to meet growing energy demands. Despite its [...] Read more.
Digital Twin (DT) technology is emerging as a powerful tool for optimizing energy efficiency and industrial sustainability. By creating virtual replicas of physical systems, DTs enable real-time monitoring, predictive maintenance, and resource optimization, offering new opportunities to meet growing energy demands. Despite its potential, the comprehension of DT technology’s applications, benefits, and challenges remains limited. This systematic review explores the role of Digital Twins in energy efficiency across various industries. A structured literature search was conducted in IEEE Xplore, Elsevier, Springer, MDPI, and Google Scholar, following PRISMA 2020 guidelines. After applying the predefined inclusion criteria, 50 studies were selected for in-depth analysis. The findings highlight that DT implementation can lead to energy savings of up to 30%, reduce operational costs, and improve predictive maintenance strategies. Their impact is particularly notable in smart buildings, manufacturing, and industrial processes, where real-time data analytics contribute to better energy management. However, significant barriers remain, including high implementation costs, data security risks, and the complexity of integrating DTs with existing infrastructures. By synthesizing the current research, this review underscores the transformative potential of Digital Twins while identifying key challenges that need to be addressed for their wider adoption. Future efforts should focus on developing standardized methodologies, reducing implementation costs, and enhancing cybersecurity measures to maximize their benefits in energy efficiency and sustainability. Full article
Show Figures

Figure 1

Back to TopTop