Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review

May combine two claims.

Digital Twins enable predictive maintenance and planning, as intelligent data analysis helps detect system faults in advance.

“Predictive maintenance and planning Intelligent data analysis helps detect system faults in advance, which will enable better maintenance planning [39].”

• cites [39] Rasheed, A., San, O., and Kvamsdal, T. (2019). Digital twin: Values, challenges and enablers. arXiv, Available online: https://arxiv.org/pdf/1910.01719.pdf. sourceSupported

May combine two claims.

Digital Twins provide better documentation and communication, as stakeholders are constantly informed through readily available information combined with automated reporting, improving transparency.

“Better documentation and communication Stakeholders will be constantly informed through readily available information combined with automated reporting, improving transparency [39].”

• cites [39] Rasheed, A., San, O., and Kvamsdal, T. (2019). Digital twin: Values, challenges and enablers. arXiv, Available online: https://arxiv.org/pdf/1910.01719.pdf. sourceSupported

May combine two claims.

Chowdhury et al. identified key areas where Digital Twins could drive efficiency gains, including optimizing steam network systems, improving waste heat recovery technologies, and integrating bioenergy solutions.

“Their research identified key areas where Digital Twins could drive efficiency gains, including optimizing steam network systems, improving waste heat recovery technologies, and integrating bioenergy solutions.”

• cites [33] Chowdhury, 2018, Reducing industrial energy demand in the UK: A review of energy efficiency technologies and energy saving potential in selected sectors, Renew. Sustain. Energy Rev. sourcePartly supported

  The Introduction identifies steam-system efficiency, waste-heat recovery, and bioenergy/waste utilisation as areas with potential to reduce industrial energy use and emissions. Section 2.1 also discusses improving steam-system efficiency. The passages do not identify these as opportunities for Digital Twins; searches for Digital Twins and related modelling terms did not establish that link. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

May combine two claims.

Digital Twins provide a more effective decision support system through availability of quantitative data and real-time analytics, enabling more informed and faster decision-making.

“More effective decision support system Availability of quantitative data and real-time analytics enables more informed and faster decision-making [39].”

• cites [39] Rasheed, A., San, O., and Kvamsdal, T. (2019). Digital twin: Values, challenges and enablers. arXiv, Available online: https://arxiv.org/pdf/1910.01719.pdf. sourceSupported

May combine two claims.

Using Digital Twins ensures that robots will be given dangerous tasks while being controlled remotely by humans, allowing humans to focus on more innovative tasks.

“More efficient and safe Using the Digital Twin ensures that robots will be given dangerous tasks while being controlled remotely by humans.This will allow humans to focus on more innovative tasks [39].”

• cites [39] Rasheed, A., San, O., and Kvamsdal, T. (2019). Digital twin: Values, challenges and enablers. arXiv, Available online: https://arxiv.org/pdf/1910.01719.pdf. sourcePartly supported

  Section II, “Value of Digital Twin” (p. 2), describes dangerous jobs being allocated to remotely controlled robots so humans can focus on creative and innovative work. It frames this as an envisioned future benefit, however, rather than something that using a digital twin already ensures. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing).

Implementing heat recovery solutions could lead to substantial energy savings.

“Their findings underscored that steamrelated inefficiencies account for a significant portion of energy losses in industrial settings, and that implementing heat recovery solutions could lead to substantial energy savings.”

• cites [33] Chowdhury, 2018, Reducing industrial energy demand in the UK: A review of energy efficiency technologies and energy saving potential in selected sectors, Renew. Sustain. Energy Rev. sourceSupported

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Digital Twins improve synergy and intra- and inter-team collaboration, leading to greater productivity.

“Better synergy and intra-and inter-team collaboration Teams will spend more time improving collaborations, leading to greater productivity [39].”

• cites [39] Rasheed, A., San, O., and Kvamsdal, T. (2019). Digital twin: Values, challenges and enablers. arXiv, Available online: https://arxiv.org/pdf/1910.01719.pdf. sourceSupported

May combine two claims.

Digital Twins improve decision-making, efficiency, cost savings, increased security, sustainability, and better visibility.

“Improved decision-making Improved efficiency, cost savings, increased security, sustainability, and better visibility [40].”

• cites [40] Kasper, L., Birkelbach, F., Schwarzmayr, P., Steindl, G., Ramsauer, D., and Hofmann, R. (2022). Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems. Appl. Sci., 12. sourcePartly supported

  Section 2.2 describes potential gains in efficiency, cost reduction, environmental protection and transparency from digital applications, and Section 4.2 says a digital-twin platform can integrate those applications. The paper does not establish the entire list as achieved benefits: it treats increased security as an ideal requirement, and the passages found do not clearly establish improved decision-making as a benefit of the platform. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

May combine two claims.

Implementation of Digital Twins is often hindered by the lack of standardized tools, high initial costs, and cybersecurity vulnerabilities.

“However, as summarized in Table 4, implementation is often hindered by the lack of standardized tools, high initial costs, and cybersecurity vulnerabilities [43,44].”

• cites [43] Monsone, C., Mercier-Laurent, E., and János, J. (2019, January 17–19). The Overview of Digital Twins in Industry 4.0: Managing the Whole Ecosystem. Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Vienna, Austria. sourceNot checked — no full text of the source
• cites [44] Sharma, 2022, Digital Twins: State of the art theory and practice, challenges, and open research questions, J. Ind. Inf. Integr. sourcePartly supported

  The Introduction (page not provided) says that scarce, developing implementation standards impede adoption, but it does not specifically identify a lack of standardized tools. Section 6, “Challenges in DT” (page not provided), identifies cybersecurity concerns and potential costs, especially for short projects, but does not establish that initial costs are generally high. (LLM, conf=0.85)

  Experimental — accuracy not yet measured

May combine two claims.

Using DTs involves additional modules such as cost, resources, and research, and can be costly if the lifespan and duration of a project are short.

“Additional modules Using DTs involves some add-ons such as cost, resources, and research.Since implementing DTs and realizing their benefits is a timely process, using DTs can be costly if the lifespan and duration of a project are short [44].”

• cites [44] Sharma, 2022, Digital Twins: State of the art theory and practice, challenges, and open research questions, J. Ind. Inf. Integr. sourceSupported

May combine two claims.

Digital Twins enhance real-time remote monitoring and predictive maintenance but also pose risks related to data security and interoperability when integrated with legacy systems.

“While they enhance real-time remote monitoring and predictive maintenance [39], they also pose risks related to data security and interoperability when integrated with legacy systems [41,42].”

• cites [39] Rasheed, A., San, O., and Kvamsdal, T. (2019). Digital twin: Values, challenges and enablers. arXiv, Available online: https://arxiv.org/pdf/1910.01719.pdf. sourceSupported
• cites [41] Madni, A., Madni, C.C., and Lucero, S.D. (2019). Leveraging Digital Twin Technology in Model-Based Systems Engineering. Systems, 7. sourceSupported
• cites [42] Shao, 2020, Framework for a Digital Twin in Manufacturing: Scope and Requirements, Manuf. Lett. sourcePartly supported

  The “Example Uses of Digital Twins in Manufacturing” section says a machine-health twin can monitor equipment and predict faults and failures, supporting the predictive-maintenance point. The “Perspectives on the Digital Twin” section discusses real-time visualization but does not establish remote monitoring as an application. The security and legacy-system risks are attached to different citations [41,42], not the citation assessed here; page numbers are unavailable in our copy. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

May combine two claims.

The benefits of Digital Twins include improved decision-making, increased operational efficiency, and enhanced risk assessment.

“As shown in Table 3, the benefits of Digital Twins include improved decision-making, increased operational efficiency, and enhanced risk assessment [40].”

• cites [40] Kasper, L., Birkelbach, F., Schwarzmayr, P., Steindl, G., Ramsauer, D., and Hofmann, R. (2022). Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems. Appl. Sci., 12. sourcePartly supported

  The Introduction says digital-twin services can support complex decision-making, and the discussion of digital applications describes improving process efficiency and optimizing operations. The paper discusses monitoring, fault detection, and safety, but the passages do not establish enhanced risk assessment as a benefit. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Digital Twins are not limited to individual products, and can also represent complex production systems.

“Digital Twins are not limited to individual products, and can also represent complex production systems [101].”

• cites [101] Botkina, 2018, Digital Twin of a Cutting Tool, Procedia CIRP sourceSupported

May combine two claims.

By analyzing real-time data, Digital Twins improve failure prediction and extend equipment lifespan.

“Predictive maintenance: By analyzing real-time data, Digital Twins improve failure prediction and extend equipment lifespan.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

Current implementations that integrate product twins with production twins into digital production twins demonstrate initial efforts to merge production knowledge with digital models.

“Current implementations that integrate product twins with production twins into digital production twins demonstrate initial efforts to merge production knowledge with digital models.”

Probably not a substantial claim: may not pass S4 (based). May combine two claims.

While some studies suggest energy savings of up to 30%, others report limited efficiency gains due to implementation challenges and variations in industry-specific processes.

“While some studies suggest energy savings of up to 30%, others report limited efficiency gains due to implementation challenges and variations in industry-specific processes.”

May combine two claims.

Our findings support the assertion that continuous monitoring and analysis of operational data enable immediate adjustments that optimize energy consumption and reduce inefficiencies in the energy sector.

“Our findings support this assertion, particularly in the energy sector, where the continuous monitoring and analysis of operational data enable immediate adjustments that optimize energy consumption and reduce inefficiencies.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

The implementation of DTs requires substantial computational resources, posing financial and technical constraints, particularly for smaller organizations.

“Additionally, the implementation of DTs requires substantial computational resources, posing financial and technical constraints, particularly for smaller organizations.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

In urban environments, the integration of Digital Twins into waste management systems has led to a 20 percent improvement in efficiency.

“In urban environments, the integration of Digital Twins into waste management systems has led to a 20 percent improvement in efficiency.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Unlike DTs, BIM does not inherently include real-time sensor data or predictive analytics.

“Unlike DTs, BIM does not inherently include real-time sensor data or predictive analytics.”

Probably not a substantial claim: may not pass S3 (load-bearing).

The concept of Digital Twins is sometimes conflated with other related but distinct technologies, such as BIM and IoT-based monitoring systems.

“However, the concept of Digital Twins is sometimes conflated with other related but distinct technologies.”

• Also stated in: § 4.1.6. Clarification of Digital Twins and Related Technologies · plain

  “Building Information Modeling (BIM) is often confused with Digital Twins, yet it primarily focuses on static representations used for design, construction, and facility management.”

May combine two claims.

Different studies apply varying performance parameters, making it challenging to establish generalizable conclusions about DT effectiveness.

“Different studies apply varying performance parameters, making it challenging to establish generalizable conclusions about DT effectiveness.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.

Three main types of Digital Twins have been identified: Digital Twin Prototype (DTP), Digital Twin Instance (DTI), and Digital Twin Aggregate (DTA).

“Three main types of Digital Twins have been identified.”

Probably not a substantial claim: may not pass S4 (based).

Few studies address long-term performance challenges, including the potential degradation of DT models over time due to evolving operational conditions and outdated data integration techniques.

“Furthermore, few studies address long-term performance challenges, including the potential degradation of DT models over time due to evolving operational conditions and outdated data integration techniques.”

May combine two claims.

In the building sector, DTs have been integrated into energy management systems, dynamically controlling HVAC systems, leading to energy savings ranging between 15 and 20 percent.

“Similarly, in the building sector, DTs have been integrated into energy management systems, dynamically controlling heating, ventilation, and air conditioning (HVAC) systems.”

• Also stated in: § 4.1.2. Enhancing Energy Performance · hedged

  “Studies indicate that this approach has led to energy savings ranging between 15 and 20 percent by reducing inefficiencies and adapting energy use to real-time demands.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

IoT-based monitoring systems collect real-time data from physical assets, but do not facilitate bidirectional interaction and advanced simulations inherent to Digital Twins.

“Similarly, Internet of Things (IoT)-based monitoring systems collect real-time data from physical assets, but do not facilitate bidirectional interaction and advanced simulations inherent to Digital Twins.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

In the energy sector, while promising concepts and case studies have emerged, many gaps remain unexplored.

“In the energy sector, while promising concepts and case studies have emerged, many gaps remain unexplored.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Traditional computational simulations model system behavior under predefined conditions, whereas Digital Twins continuously synchronize with physical systems, providing dynamic insights and real-time decision-making capabilities.

“Traditional computational simulations model system behavior under predefined conditions, whereas Digital Twins continuously synchronize with physical systems, providing dynamic insights and real-time decision-making capabilities.”

May combine two claims.

After reviewing multiple studies, the primary function of DTs in operations is as modeling and simulation tools, while their application as a virtual-real connection system with data processing are less prevalent.

“After reviewing multiple studies, it can be concluded that the primary function of DTs in operations is as modeling and simulation tools, while their application as a virtual-real connection system with data processing are less prevalent [110][111][112][113].”

• cites [110][111][112][113]Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

Many industries rely on legacy systems that were not designed to communicate with real-time digital models, requiring extensive modifications and investments.

“Many industries rely on legacy systems that were not designed to communicate with real-time digital models, requiring extensive modifications and investments.”

May combine two claims. The quote only partly states this claim.

The widespread adoption of Digital Twins is hindered by several challenges, including data quality and integration, complexity of integrating into existing infrastructures, computational resource requirements, and cybersecurity risks.

“Despite the promising benefits, the widespread adoption of Digital Twins is hindered by several challenges.”

• Also stated in: § 5. Conclusions · plain

  “Key barriers include high initial investments in both technology and human resources, the complexity of data integration and management, and cybersecurity concerns.”

May combine two claims.

Our study confirms the benefits of predictive maintenance, particularly in thermal power plants and building energy management systems, where early fault detection and data-driven maintenance strategies lead to similar savings.

“Our study confirms these benefits, particularly in thermal power plants and building energy management systems, where early fault detection and data-driven maintenance strategies lead to similar savings.”

May combine two claims.

The implementation of Digital Twins presents several challenges, including high initial investment, data management, and specialized training.

“Despite their advantages, the implementation of Digital Twins presents several challenges.”

• Also stated in: § 4.2.3. Limitations · plain

  “One of the primary obstacles is the high initial investment required for hardware, software, and personnel training.”

• Also stated in: § 4.2.3. Limitations · plain

  “Finally, the adoption of Digital Twins requires specialized training and user acceptance.”

May combine two claims.

Our findings align with the results that Digital Twins contribute to lowering CO2 emissions, particularly in the optimization of industrial processes and urban waste management.

“Our findings align with these results, particularly in the optimization of industrial processes and urban waste management, both of which contribute to lowering CO 2 emissions.”

Classified as probably not a substantial claim. May combine two claims.

The systematic review highlights numerous benefits of Digital Twins, from reducing operational costs and enhancing productivity to achieving substantial energy savings and supporting decarbonization initiatives.

“The systematic review presented in this article highlights the numerous benefits of Digital Twins, from reducing operational costs and enhancing productivity to achieving substantial energy savings and supporting decarbonization initiatives.”

May combine two claims.

Our study reinforces the argument that national contexts strongly influence energy efficiency gains and emission reductions, highlighting the necessity of supportive policies and investment in infrastructure.

“Our study reinforces this argument, demonstrating that national contexts strongly influence energy efficiency gains and emission reductions, highlighting the necessity of supportive policies and investment in infrastructure to ensure successful implementation.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Many industries face a skills gap when integrating advanced digital technologies.

“Many industries face a skills gap when integrating advanced digital technologies.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Kuniawan et al. estimated that digital transformation could reduce municipal waste management costs by 30-35%.

“Their research estimated that by 2030, digital transformation could contribute 15% to the global economy, while simultaneously reducing municipal waste management costs by 30-35%.”

• cites [24] Kurniawan, 2023, Decarbonization in waste recycling industry using digitalization to promote net-zero emissions and its implications on sustainability, J. Environ. Manag. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Digital Twins offer numerous advantages but also present certain challenges.

“Digital Twins offer numerous advantages, but also present certain challenges.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Wang et al. found that technological and institutional innovation is a key driver of industrial digital transformation.

“Their findings highlight that technological and institutional innovation is a key driver of industrial digital transformation.”

• cites [30] Wang, 2023, Integrated development of digital and energy industries: Paving the way for carbon emission reduction, Technol. Forecast. Soc. Chang. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

Kuniawan et al. estimated that by 2030, digital transformation could contribute 15% to the global economy.

“Their research estimated that by 2030, digital transformation could contribute 15% to the global economy, while simultaneously reducing municipal waste management costs by 30-35%.”

• cites [24] Kurniawan, 2023, Decarbonization in waste recycling industry using digitalization to promote net-zero emissions and its implications on sustainability, J. Environ. Manag. sourceNot checked — no full text of the source

Classified as probably not a substantial claim.

A structured risk of bias assessment was conducted to classify studies as having low, moderate, or high risk of bias.

“A structured assessment was conducted to classify studies as having a low, moderate, or high risk of bias based on these parameters.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Li et al. projected that by 2050, nearly all energy sectors will be electrified, accelerating the transition toward renewable energy adoption.

“The study projected that by 2050, nearly all energy sectors will be electrified, accelerating the transition toward renewable energy adoption.”

• cites [23] Li, 2023, Electrification and digitalization effects on sectoral energy demand and consumption: A prospective study towards 2050, Energy sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

A Digital Twin is a virtual replica of a physical system, designed to simulate its behavior and performance under varying conditions.

“A Digital Twin is a virtual replica of a physical system, designed to simulate its behavior and performance under varying conditions [9,10].”

• cites [9] De Kooning, J.D.M., Stockman, K., De Maeyer, J., Jarquin-Laguna, A., and Vandevelde, L. (2021). Digital twins for wind energy conversion systems: A literature review of potential modelling techniques focused on model fidelity and computational load. Processes, 9. sourceNot checked — no full text of the source
• cites [10] Tao, 2017, Digital twin shop-floor: A new shop-floor paradigm towards smart manufacturing, IEEE Access sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

A standardized data extraction sheet was used.

“Data Extraction: A standardized data extraction sheet was used to collect information, including the following:”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Li et al. found that digitalization could reduce energy consumption by 30%, primarily through system optimization and digital control mechanisms.

“Their findings demonstrated that digitalization could reduce energy consumption by 30%, primarily through system optimization and digital control mechanisms.”

• cites [23] Li, 2023, Electrification and digitalization effects on sectoral energy demand and consumption: A prospective study towards 2050, Energy sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Digital Twins rely on real-time data acquisition, often integrating sensor networks to monitor operational conditions and optimize performance.

“To construct accurate models, Digital Twins rely on real-time data acquisition, often integrating sensor networks to monitor operational conditions and optimize performance [2].”

• cites [2] Powegmag (2023, March 13). Utilizing 3-D Virtual Reality Visualization for Efficient Power Projects and Training. Available online: https://www.powermag.com/utilizing-3-d-virtual-reality-visualization-for-efficient-power-projects-and-training.Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S3 (load-bearing).

A thematic synthesis approach was applied.

“A thematic synthesis approach was applied:”

Classified as probably not a substantial claim.

The study follows PRISMA 2020 guidelines.

“This study follows the PRISMA 2020 guidelines to ensure transparency and rigor in the selection and analysis of studies related to Digital Twin (DT) applications in the field of energy efficiency.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

Addressing these aspects will be crucial in ensuring the long-term viability and scalability of Digital Twin technology in various industries.

“Addressing these aspects will be crucial in ensuring the long-term viability and scalability of Digital Twin technology in various industries.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

These innovations contribute to the development of smart factories, where Digital Twin technology enhances operational efficiency, predictive maintenance, and production optimization.

“These innovations contribute to the development of smart factories, where Digital Twin technology enhances operational efficiency, predictive maintenance, and production optimization.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

These examples illustrate the growing role of Digital Twin technology in transportation, offering innovative solutions to reduce emissions, enhance traffic efficiency, and modernize infrastructure management.

“These examples illustrate the growing role of Digital Twin technology in transportation, offering innovative solutions to reduce emissions, enhance traffic efficiency, and modernize infrastructure management.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

Edge computing reduces latency and energy consumption while maintaining real-time analytics capabilities by distributing processing power closer to data sources.

“By distributing processing power closer to data sources, edge computing reduces latency and energy consumption while maintaining real-time analytics capabilities.”

May combine two claims.

El Azzaoui et al. [74] developed a Digital Twin of a vehicle within an intelligent environment, enabling real-time simulation and monitoring of vehicle performance and environmental impact.

“To achieve this, they developed a Digital Twin of a vehicle within an intelligent environment, enabling the real-time simulation and monitoring of vehicle performance and environmental impact.”

• cites [74] Xiong, 2023, A digital twin-based edge intelligence framework for decentralized decision in IoV system, Inf. Sci. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

These demands lead to high operational costs and significant energy consumption, particularly in industries with complex DT models, such as smart grids and industrial automation.

“These demands lead to high operational costs and significant energy consumption, particularly in industries with complex DT models, such as smart grids and industrial automation.”

Probably not a substantial claim: may not pass S4 (based). May combine two claims.

By leveraging real-time data analytics, simulation models, and AI-driven insights, Digital Twins can play a pivotal role in reducing greenhouse gas emissions and driving the transition toward sustainable industrial practices.

“By leveraging real-time data analytics, simulation models, and AI-driven insights, Digital Twins can play a pivotal role in reducing greenhouse gas emissions and driving the transition toward sustainable industrial practices.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

The integration of Digital Twins with smart data analytics, real-time monitoring, and predictive modeling has the potential to enhance project management, optimize resource utilization, and improve overall sustainability.

“The integration of Digital Twins with smart data analytics, real-time monitoring, and predictive modeling has the potential to enhance project management, optimize resource utilization, and improve overall sustainability.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Retrofitting legacy infrastructures for Digital Twin implementation presents both technical and financial challenges.

“Retrofitting these infrastructures for Digital Twin implementation presents both technical and financial challenges.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Researchers and industry leaders are developing middleware platforms and standardized communication protocols (e.g., OPC UA, MQTT) to bridge compatibility gaps between outdated systems and modern Digital Twin frameworks.

“To address this issue, researchers and industry leaders are developing middleware platforms and standardized communication protocols (e.g., OPC UA, MQTT) to bridge compatibility gaps between outdated systems and modern Digital Twin frameworks.”

Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

These findings emphasize the need for further research into standardized Digital Twin frameworks and emerging solutions such as blockchain for security and edge computing for cost-effective real-time processing.

“These findings emphasize the need for further research into standardized Digital Twin frameworks and emerging solutions such as blockchain for security and edge computing for cost-effective real-time processing.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

These solutions aim to facilitate smoother transitions and reduce implementation costs.

“These solutions aim to facilitate smoother transitions and reduce implementation costs.”

May combine two claims.

The application of DT technology in the construction industry holds significant potential for addressing proactive challenges and improving project efficiency, although still in its early stages.

“Although still in its early stages, the application of Digital Twin (DT) technology in the construction industry holds significant potential for addressing proactive challenges and improving project efficiency.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

Taken together, these advanced functions position Energy Digital Twins as a cornerstone for next-generation industrial energy systems, offering exceptional gains in resilience, adaptability, and operational intelligence.

“Taken together, these advanced functions-real-time monitoring, predictive diagnostics, and dynamic optimization-position Energy Digital Twins as a cornerstone for next-generation industrial energy systems, offering exceptional gains in resilience, adaptability, and operational intelligence.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

The transport sector is highly energy-intensive, accounting for approximately one-fifth of global CO2 emissions, with vehicles alone responsible for 21% of total carbon emissions.

“Like many other industries, the transport sector is highly energy-intensive, accounting for approximately one-fifth of global CO 2 emissions, with vehicles alone responsible for 21% of total carbon emissions.”

Probably not a substantial claim: may not pass S4 (based). May combine two claims.

By modifying operational models, Digital Twin technology transforms industrial processes, enabling real-time energy optimization and reducing overall consumption.

“By modifying operational models, this technology transforms industrial processes, enabling real-time energy optimization and reducing overall consumption.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

IoV combines the Internet of Things (IoT) and the Internet of Mobile Things (IoM) to optimize traffic flow, reduce congestion, and improve urban mobility management.

“IoV combines the Internet of Things (IoT) and the Internet of Mobile Things (IoM) to optimize traffic flow, reduce congestion, and improve urban mobility management.”

May combine two claims.

Interoperability with existing software used in a production lifecycle is a difficult problem to resolve, which could lead to delays in implementations.

“Interoperability with existing software used in a production lifecycle Industries use various types of software for tasks such as inventory, product management, and operations.DTs' compatibility with these is a difficult problem to resolve, which could lead to delays in implementations [45].”

• cites [45] Grieves, M.W. (2019). Virtually intelligent product systems: Digital and physical twins. Complex Systems Engineering: Theory and Practice, American Institute of Aeronautics and Astronautics. sourceNot checked — no full text of the source

May combine two claims.

Currently, Digital Twin applications in construction focus primarily on life cycle analysis and the design phase, where Building Information Modeling (BIM) serves as a fundamental tool.

“Currently, Digital Twin applications in construction focus primarily on life cycle analysis and the design phase, where Building Information Modeling (BIM) serves as a fundamental tool [46].”

• cites [46] Opoku, 2021, Digital twin application in the construction industry: A literature review, J. Build. Eng. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

These applications extend beyond traditional monitoring by enabling proactive interventions and minimizing system downtime.

“These applications extend beyond traditional monitoring by enabling proactive interventions and minimizing system downtime.”

Probably not a substantial claim: may not pass S3 (load-bearing).

The Digital Twin system is generally structured into three levels: Unit Level, Shop Floor Level, and Factory Level.

“The Digital Twin system is generally structured into three levels:”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

This pressing environmental challenge has accelerated the development of Internet of Vehicles (IoV) technology, a critical component of future smart cities.

“This pressing environmental challenge has accelerated the development of Internet of Vehicles (IoV) technology, a critical component of future smart cities [74].”

• cites [74] Xiong, 2023, A digital twin-based edge intelligence framework for decentralized decision in IoV system, Inf. Sci. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

Digital Twins handle vast amounts of sensitive operational data, making them attractive targets for cyberattacks, including data breaches, ransomware, and industrial espionage.

“Digital Twins handle vast amounts of sensitive operational data, making them attractive targets for cyberattacks, including data breaches, ransomware, and industrial espionage.”

May combine two claims.

The initiative struggled with data integration failures, unexpectedly high infrastructure costs, and stakeholder resistance due to a lack of familiarity with DT technology.

“The initiative struggled with data integration failures, unexpectedly high infrastructure costs, and stakeholder resistance due to a lack of familiarity with DT technology.”

May combine two claims.

Ken Chen et al. [75] explored the use of Digital Twins in aviation, developing a prototype digital airport tower system.

“Similarly, Ken Chen et al. [75] explored the use of Digital Twins in aviation, developing a prototype digital airport tower system.”

• cites [75] Chen, 2024, Tangible digital twin with shared visualization for collaborative air traffic management operations, Transp. Res. Part C Emerg. Technol. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

Many industries rely on legacy systems that were not originally designed for integration with real-time digital models.

“Many industries, particularly with older buildings, industrial plants, and energy grids, rely on legacy systems that were not originally designed for integration with real-time digital models.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Industrial activities account for approximately 35.2% of global CO2-equivalent emissions, with 69% of these emissions linked to energy consumption.

“Industrial activities account for approximately 35.2% of global CO 2 -equivalent emissions, with 69% of these emissions linked to energy consumption [77].”

• cites [77] Hannah, R., and Max, R. (2025, April 03). CO2 and Greenhouse Gas Emissions. Our World Data. Available online: https://ourworldindata.org/co2-and-greenhouse-gas-emissions.Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S4 (based).

The deployment of Digital Twins requires substantial computing power to process real-time data streams, conduct predictive simulations, and maintain synchronization with physical assets.

“The deployment of Digital Twins requires substantial computing power to process real-time data streams, conduct predictive simulations, and maintain synchronization with physical assets.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

Overcoming these challenges is essential for the successful deployment and scaling of Digital Twins across industries.

“Overcoming these challenges is essential for the successful deployment and scaling of Digital Twins across industries.”

Probably not a substantial claim: may not pass S3 (load-bearing).

El Azzaoui et al. [74] proposed a decentralized IoV management system to lower the carbon footprint of vehicular transportation.

“In their research, El Azzaoui et al. [74] proposed a decentralized IoV management system to lower the carbon footprint of vehicular transportation.”

• cites [74] Xiong, 2023, A digital twin-based edge intelligence framework for decentralized decision in IoV system, Inf. Sci. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

The risk of cyberattacks is greater when DTs are integrated with cloud-based infrastructures, where vulnerabilities can be exploited.

“The risk is even greater when DTs are integrated with cloud-based infrastructures, where vulnerabilities can be exploited.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Ken Chen et al. [75]'s study highlights the potential of Digital Twins in enhancing situational awareness, improving decision-making, and optimizing air traffic control efficiency.

“Their study highlights the potential of Digital Twins in enhancing situational awareness, improving decision-making, and optimizing air traffic control efficiency [75].”

• cites [75] Chen, 2024, Tangible digital twin with shared visualization for collaborative air traffic management operations, Transp. Res. Part C Emerg. Technol. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

As a powerful digital tool, Digital Twin technology offers unprecedented potential for optimizing physical assets and industrial processes, enabling businesses to develop efficient, low-carbon solutions.

“As a powerful digital tool, Digital Twin technology offers unprecedented potential for optimizing physical assets and industrial processes, enabling businesses to develop efficient, low-carbon solutions.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

While its primary application focuses on improving energy efficiency, Digital Twin technology is also widely used to optimize manufacturing processes, particularly in terms of time and cost reduction.

“While its primary application focuses on improving energy efficiency, it is also widely used to optimize manufacturing processes, particularly in terms of time and cost reduction.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

With the rise of Industry 4.0, Digital Twin technology is being increasingly adopted across multiple industries.

“With the rise of Industry 4.0, Digital Twin (DT) technology is being increasingly adopted across multiple industries.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

Digital Twins are increasingly adopted in industrial manufacturing to enhance energy efficiency, improve process optimization, and integrate renewable energy sources.

“Additionally, Digital Twins are increasingly adopted in industrial manufacturing to enhance energy efficiency, improve process optimization, and integrate renewable energy sources.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

This tangible Digital Twin supports collaborative air traffic management (ATM) operations using Microsoft HoloLens 2, allowing users to share a real-time, interactive view of airport traffic dynamics.

“This tangible Digital Twin supports collaborative air traffic management (ATM) operations using Microsoft HoloLens 2, allowing users to share a real-time, interactive view of airport traffic dynamics.”

• cites [75] Chen, 2024, Tangible digital twin with shared visualization for collaborative air traffic management operations, Transp. Res. Part C Emerg. Technol. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

Digital Twin applications in the energy sector focus on optimizing energy management and consumption, particularly in power generation, distribution, and smart grid operations.

“Digital Twin applications in the energy sector focus on optimizing energy management and consumption, particularly in power generation, distribution, and smart grid operations.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

This case highlights the importance of phased deployment, stakeholder engagement, and cross-sector collaboration when implementing Digital Twins on a large scale.

“This case highlights the importance of phased deployment, stakeholder engagement, and cross-sector collaboration when implementing Digital Twins on a large scale.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Despite significant initial investment, the project was ultimately scaled back due to interoperability constraints and cybersecurity concerns.

“Despite significant initial investment, the project was ultimately scaled back due to interoperability constraints and cybersecurity concerns.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

A notable example of failed Digital Twin adoption occurred during an ambitious smart city project in Europe.

“A notable example of failed Digital Twin adoption occurred during an ambitious smart city project in Europe.”

Probably not a substantial claim: may not pass S3 (load-bearing).

At the Factory Level, Digital Twins encompass a holistic integration throughout an entire manufacturing plant, enabling real-time visualization, control, and optimization.

“The Factory Level: This encompasses a holistic integration of Digital Twins throughout an entire manufacturing plant, enabling real-time visualization, control, and optimization.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

Blockchain technology enables secure, decentralized, and immutable data records.

“One approach to enhancing security is the use of blockchain technology, which enables secure, decentralized, and immutable data records.”

Classified as probably not a substantial claim. May combine two claims.

By enabling predictive maintenance, improved design processes, and the modernization of existing infrastructure, Digital Twins contribute to higher energy efficiency and the seamless integration of renewable energy sources.

“By enabling predictive maintenance, improved design processes, and the modernization of the existing infrastructure, Digital Twins contribute to higher energy efficiency and the seamless integration of renewable energy sources.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

The integration of Digital Twin technology into the manufacturing and energy sectors is a key driver of digital transformation, significantly enhancing energy management and optimization.

“The integration of Digital Twin (DT) technology into the manufacturing and energy sectors is a key driver of digital transformation, significantly enhancing energy management and optimization.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Blockchain technology is being explored to protect DT transactions, ensure data integrity, and strengthen cybersecurity frameworks.

“This technology is being explored to protect DT transactions, ensure data integrity, and strengthen cybersecurity frameworks.”

May combine two claims.

At the Shop Floor Level, Digital Twins are used for analysis and prediction, including machining process condition assessments and preventive maintenance planning for equipment.

“At this level, Digital Twins are used for analysis and prediction, including machining process condition assessments [21] and preventive maintenance planning for equipment [22]”

• cites [21] Zhao, 2022, Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit, Energy sourceNot checked — no full text of the source
• cites [22] Heymann, 2023, Digitalization in decarbonizing electricity systems—Phenomena, regional aspects, stakeholders, use cases, challenges and policy options, Energy sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

At the Unit Level, virtual models simulate the operating mechanisms of machine tools.

“At this stage, virtual models simulate the operating mechanisms of machine tools [20]”

• cites [20] Kovalyov, 2022, Distributed Energy Resources Management: From Digital Twin to Digital Platform, IFAC-PapersOnLine sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

Data-driven approaches, such as recurrent neural networks (RNNs) and dynamic mode decomposition with control (DMD-c), allow for the development of black-box or hybrid models, which are particularly useful for systems that are difficult to model using first-principles methods.

“Meanwhile, data-driven approaches, such as recurrent neural networks (RNNs) and dynamic mode decomposition with control (DMD-c), allow for the development of black-box or hybrid models, which are particularly useful for systems that are difficult to model using first-principles methods.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Furnaces can generally be classified as electrical or chemical, with chemical furnaces relying on hydrocarbon oxidation.

“Furnaces can generally be classified as electrical or chemical, with chemical furnaces relying on hydrocarbon oxidation [117].”

• cites [117] Mullinger, P., and Jenkins, B. (2013). The Combustion Process. Industrial and Process Furnaces, Butterworth-Heinemann. sourceNot checked — no full text of the source

May combine two claims.

The accuracy and effectiveness of DTs heavily depend on the quality of collected data, and inconsistent or incomplete data can lead to inaccurate predictions and inefficient decision-making.

“The accuracy and effectiveness of DTs heavily depend on the quality of collected data, and inconsistent or incomplete data can lead to inaccurate predictions and inefficient decision-making.”

• Also stated in: § 4.2.3. Limitations · plain

  “The accuracy and effectiveness of Digital Twins depend on the quality of the data collected.”

• Also stated in: § 4.2.3. Limitations · plain

  “Poor data quality or security vulnerabilities can lead to incorrect decisions, as highlighted by Tao et al. [10].”

• cites [10] Tao, 2017, Digital twin shop-floor: A new shop-floor paradigm towards smart manufacturing, IEEE Access sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

A Digital Twin consists of three primary components: the physical system, the virtual system, and the service system, along with Digital Twin Data that continuously connect these elements.

“A Digital Twin consists of three primary components: the physical system, the virtual system, and the service system, along with Digital Twin Data that continuously connect these elements [4,100].”

• cites [4] Grieves, M., and Vickers, J. (2017). Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. Transdisciplinary Perspectives on Complex Systems, Springer. sourceNot checked — no full text of the source
• cites [100] Schleich, 2017, Shaping the digital twin for design and production engineering, CIRP Ann. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Antolin-Urbaneja et al. propose five key strategies to address challenges in artificial furnaces: enhancing refractory materials; developing heat recovery systems using PCMs; exploring alternative energy sources; integrating advanced monitoring and control devices; creating a holistic decision-support tool.

“Antolin-Urbaneja et al. [116] propose five key strategies to address these challenges:”

• cites [116] 2018, Digital industrial furnaces: Challenges for energy efficiency under VULKANO project, J. Energy Syst.Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

The integration of artificial intelligence (AI) and machine learning (ML) algorithms into Digital Twin (DT) technology requires a deep understanding of their potential applications in industrial and energy processes.

“The integration of artificial intelligence (AI) and machine learning (ML) algorithms into Digital Twin (DT) technology requires a deep understanding of their potential applications in industrial and energy processes.”

Probably not a substantial claim: may not pass S3 (load-bearing).

ISO 19650 defines standards for integrating BIM with DTs in construction and infrastructure projects.

“Likewise, ISO 19650 [123] defines standards for integrating BIM with DTs in construction and infrastructure projects.”

• cites [123] (2018). Organization and Digitization of Information About Buildings and Civil Engineering Works, Including Building Information Modelling (BIM)—Information Management Using Building Information Modelling (Standard No. ISO 19650).Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Digital Twin technology presents numerous opportunities across various fields of product engineering.

“Digital Twin technology presents numerous opportunities across various fields of product engineering.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

The integration of linked Digital Twins is a key enabler for expanding the possibilities of high-precision manufacturing beyond existing technological limitations.

“The integration of linked Digital Twins is a key enabler for expanding the possibilities of high-precision manufacturing beyond existing technological limitations.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

Traditional AI-driven optimization methods, such as simulated annealing and evolutionary optimization, are effective in reducing complex search spaces and are widely utilized for process optimization and system integration.

“Traditional AI-driven optimization methods, such as simulated annealing and evolutionary optimization, are effective in reducing complex search spaces and are widely utilized for process optimization and system integration.”

May combine two claims.

Digital Twins offer significant opportunities and transformative potential across various stages of product development and industrial sectors, including energy management, manufacturing, and smart infrastructure.

“In conclusion, Digital Twins offer significant opportunities across various stages of product development.”

• Also stated in: § 4.1.1. Understanding Digital Twins and Their Applications · boosted

  “Digital Twins (DTs) have emerged as a transformative technology with vast applications across multiple industries, particularly in energy management, manufacturing, and smart infrastructure.”

• Also stated in: § 5. Conclusions · plain

  “The integration of Digital Twins across various industrial sectors marks a significant advancement in the pursuit of energy efficiency and sustainability.”

May combine two claims.

The results of this study confirm and extend the findings of previous research on Digital Twins, demonstrating their potential to improve decision-making, optimize energy performance, and contribute to decarbonization efforts.

“The results of this study confirm and extend the findings of previous research on Digital Twins, demonstrating their potential to improve decision-making, optimize energy performance, and contribute to decarbonization efforts.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Research in this area focuses on developing new refractory materials and implementing heat recovery systems for exhaust gases to improve durability and prevent issues like corrosion and erosion.

“Research in this area focuses on developing new refractory materials [118,119] and implementing heat recovery systems for exhaust gases [120] to improve durability and prevent issues like corrosion and erosion.”

• cites [118] Braulio, 2013, Nano-bonded refractory castables, Ceram. Int. sourceNot checked — no full text of the source
• cites [119] Luz, 2015, Developing nano-bonded refractory castables with enhanced green mechanical properties, Ceram. Int. sourceNot checked — no full text of the source
• cites [120] Nardin, 2014, PCM-based energy recovery from electric arc furnaces, Appl. Energy sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

Without such comparisons, it is difficult to identify key factors influencing performance variations and develop industry-specific optimization strategies.

“Without such comparisons, it is difficult to identify key factors influencing performance variations and develop industry-specific optimization strategies.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Werner Kritzinger et al. propose a framework categorizing DTs into three distinct subcategories: digital model, digital shadow, and Digital Twin.

“This classification is illustrated in Figure 5, where Werner Kritzinger et al. [97] propose a framework categorizing DTs into three distinct subcategories: digital model, digital shadow, and Digital Twin.”

• cites [97] Rojas, L., Peña, Á., and Garcia, J. (2025). AI-Driven Predictive Maintenance in Mining: A Systematic Literature Review on Fault Detection, Digital Twins, and Intelligent Asset Management. Appl. Sci., 15. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

However, its current applications are often focused on specific disciplines rather than fully integrated solutions.

“However, its current applications are often focused on specific disciplines rather than fully integrated solutions.”

Probably not a substantial claim: may not pass S2 (checkable).

Ensuring the continued accuracy and reliability of Digital Twin systems requires adaptive methodologies that account for real-world changes.

“Ensuring the continued accuracy and reliability of Digital Twin systems requires adaptive methodologies that account for real-world changes.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

A defining feature of digitalized green energy systems is their connectivity with the internet, which enhances their intelligence and adaptability.

“A defining feature of digitalized green energy systems is their connectivity with the internet, which enhances their intelligence and adaptability [107].”

• cites [107] Ahmad, 2021, Using the internet of things in smart energy systems and networks, Sustain. Cities Soc. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

A well-structured framework is needed to support the holistic use of Digital Twins across the entire product development cycle.

“A well-structured framework is needed to support the holistic use of Digital Twins across the entire product development cycle.”

Probably not a substantial claim: may not pass S4 (based). May combine two claims.

They facilitate a shift from reactive maintenance to predictive and adaptive service models, strengthening reliability, efficiency, and system resilience across the energy value chain.

“They facilitate a shift from reactive maintenance to predictive and adaptive service models, strengthening reliability, efficiency, and system resilience across the energy value chain.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Digital Twin technology represents a significant advancement compared to traditional simulation methods.

“From a simulation perspective, Digital Twin technology represents a significant advancement compared to traditional simulation methods.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

Since DTs handle vast amounts of sensitive operational data, they are vulnerable to cyber threats, including data breaches and unauthorized access.

“Since DTs handle vast amounts of sensitive operational data, they are vulnerable to cyber threats, including data breaches and unauthorized access.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Strielkowski et al. highlighted that integrating Digital Twins into decision-making processes enhances both the accuracy and speed of strategic decisions through real-time data analysis.

“Strielkowski et al. [1] highlighted that integrating Digital Twins into decision-making processes enhances both the accuracy and speed of strategic decisions through real-time data analysis.”

• cites [1] Strielkowski, 2022, Digital Revolution in the Energy Sector: Effects of Using Digital Twin Technology, Lect. Notes Inf. Syst. Organ. Digit. Trans-Form. Ind. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Collectively, these developments position EDTs as key enablers of a service-oriented digital infrastructure.

“Collectively, these developments position EDTs as key enablers of a service-oriented digital infrastructure.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

ISO 23247 offers guidelines for DT deployment in industrial applications, ensuring consistency and interoperability.

“ISO 23247 [122], the Digital Twin Framework for Manufacturing, offers guidelines for DT deployment in industrial applications, ensuring consistency and interoperability.”

• cites [122] (2021). Automation Systems and Integration—Digital Twin Framework for Manufacturing (Standard No. ISO 23247).Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S3 (load-bearing).

Digital Twin technology enables the evolution of physical systems into more complex digital environments by integrating software functions, such as drive and sensor connectivity within cyber-physical systems (CPS).

“It enables the evolution of physical systems into more complex digital environments by integrating software functions, such as drive and sensor connectivity within cyber-physical systems (CPS) [121].”

• cites [121] Boschert, S., and Rosen, R. (2016). Digital Twin-The Simulation Aspect. Mechatronic Futures, Springer. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Achieving seamless connectivity between Digital Twins in artificial environments presents several challenges that require further investigation and formalization.

“However, achieving seamless connectivity between Digital Twins in artificial environments presents several challenges that require further investigation and formalization.”

Probably not a substantial claim: may not pass S3 (load-bearing).

DTs in smart energy applications are generally classified into four key levels: lowcarbon cities, smart grids, electrified transportation, and advanced energy storage systems.

“DTs in smart energy applications are generally classified into four key levels: lowcarbon cities, smart grids, electrified transportation, and advanced energy storage systems [115].”

• cites [115] Wang, 2022, A survey of Digital Twin techniques in smart manufacturing and management of energy applications, Green Energy Intell. Transp. sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

Uhlemann et al. emphasized the overall cost reductions resulting from improved operational efficiency.

“Additionally, Uhlemann et al. [113] emphasized the overall cost reductions resulting from improved operational efficiency.”

• cites [113] Uhlemann, 2017, The digital twin: Realizing the cyberphysical production system for industry 4.0, Procedia CIRP sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

Establishing uniform standards will improve interoperability between different Digital Twin systems and ensure data consistency across industries.

“Establishing uniform standards will improve interoperability between different Digital Twin systems and ensure data consistency across industries.”

May combine two claims.

Digital Twins contribute to infrastructure resilience by ensuring continuous monitoring and predictive maintenance, enhancing the stability and reliability of power grids.

“Moreover, Digital Twins contribute to infrastructure resilience by ensuring continuous monitoring and predictive maintenance.”

• Also stated in: § 4.2.2. Implications for the Energy Sector · plain

  “By detecting anomalies before they cause system failures, they enhance the stability and reliability of power grids, a finding that aligns with the work of Li et al. [23].”

• cites [23] Li, 2023, Electrification and digitalization effects on sectoral energy demand and consumption: A prospective study towards 2050, Energy sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

By addressing current challenges and leveraging technological advancements, industries can unlock the full potential of Digital Twins, leading to more efficient, sustainable, and competitive operations.

“By addressing current challenges and leveraging technological advancements, industries can unlock the full potential of Digital Twins, leading to more efficient, sustainable, and competitive operations.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

Ongoing advancements in AI, machine learning, and IoT are progressively addressing challenges, making Digital Twin implementation more efficient, accessible, and secure.

“However, ongoing advancements in artificial intelligence, machine learning, and the Internet of Things (IoT) are progressively addressing these issues, making Digital Twin implementation more efficient, accessible, and secure.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

Investing in training programs is essential to ensure that staff can fully leverage the capabilities of Digital Twins.

“As Heymann et al. [22] noted, investing in training programs is essential to ensure that staff can fully leverage the capabilities of Digital Twins.”

• cites [22] Heymann, 2023, Digitalization in decarbonizing electricity systems—Phenomena, regional aspects, stakeholders, use cases, challenges and policy options, Energy sourceNot checked — no full text of the source

Classified as probably not a substantial claim.

Heymann et al. pointed out that the effectiveness of Digital Twins can vary significantly depending on local policies and infrastructure.

“However, Heymann et al. [22] pointed out that the effectiveness of Digital Twins can vary significantly depending on local policies and infrastructure.”

• cites [22] Heymann, 2023, Digitalization in decarbonizing electricity systems—Phenomena, regional aspects, stakeholders, use cases, challenges and policy options, Energy sourceNot checked — no full text of the source

May combine two claims.

By adopting Digital Twins, organizations can enhance operational efficiency and contribute toward broader environmental sustainability goals.

“By adopting this technology, organizations can not only enhance their operational efficiency, but also contribute toward broader environmental sustainability goals.”

Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

Digital Twins represent a powerful tool for the future of energy management and sustainability.

“Ultimately, Digital Twins represent a powerful tool for the future of energy management and sustainability.”

Probably not a substantial claim: may not pass S4 (based). May combine two claims.

Digital Twin technology's ability to create precise virtual replicas of physical systems enables real-time monitoring, predictive maintenance, and resource optimization.

“This technology's ability to create precise virtual replicas of physical systems enables real-time monitoring, predictive maintenance, and resource optimization, which are critical in today's energy-conscious landscape.”