Developing a Digital Twin and Digital Thread Framework for an ‘Industry 4.0’ Shipyard

Pang, Toh Yen; Restrepo, Juan Diego Pelaez; Cheng, Chi‐Tsun; Yasin, Alim; Lim, Hailey; Miletic, Miro

doi:10.3390/app11031097

Cited by 96 publications

(56 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Furthermore, it was discovered that, at a compression ratio of 7, the solar to air efficiencies of the VP1-SP-GT and SS-SP-GT were 17 percent and 15 percent, respectively, when compared to the VP1-SP-GT [34]. This percentage grew to 22 percent for SS-SP-GT when the compression ratio was raised to 23 [35]. VP1SP-GT, on the other hand, was rendered infeasible due to technological limitations.…”

Section: Discussionmentioning

confidence: 99%

Solar Preheating in Power Plants: An Overview Of The Current State Of The Technology

Chen

zhuang

2021

ijasca

View full text Add to dashboard Cite

Utilizing preheating units is one of the most critical ways to improve the performance of thermal power plants. Increasing the overall efficiency of Brayton or Rankine cycles by preheating the air or stream may result in considerable increases in output power and efficiency. When it comes to renewable energy, solar energy is an appealing alternative for use as a source of preheating since it is readily accessible. The current article discusses the use of solar energy for preheating air and steam in thermal power plants, as well as other uses. The performance of the systems is being improved, according to evaluations, as a result of a variety of elements, including the configuration of the reference system, the operating environment, the applied technology, and so on. Aside from improving the overall efficiency of the power plant, the incorporation of a solar preheating system may significantly decrease fuel usage and, as a result, carbon dioxide emissions. Furthermore, owing to the unavailability of solar energy during the night and overcast hours, thermal storage units may improve the system's dependability while also increasing the contribution of solar energy to the system's output.

show abstract

Section: Discussionmentioning

confidence: 99%

Solar Preheating in Power Plants: An Overview Of The Current State Of The Technology

Chen

zhuang

2021

ijasca

View full text Add to dashboard Cite

show abstract

“…These industrial products collect the working environment and state in the product operation stage through sensors and then analyze and optimize the collected information. This can both prevent faults in product production and help to improve the user experience of products [ 22 ]. Figure 5 illustrates the functions that DTs can achieve in the service phase.…”

Section: Methodsmentioning

confidence: 99%

Digital Twins Model of Industrial Product Management and Control Based on Lightweight Deep Learning

Huang

Yan

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Digital twins (DTs) can realize the integration of information and entities. It is widely used because of its simulation characteristics and virtual reality (VR) mapping. Its application to industrial product management and control is explored. First, the concept and the functions in different stages of DTs are expounded. Second, the Workench simulation platform and SolidWorks software are applied in the design of the aluminum alloy flange according to DTs in the design stage of industrial product management and control. Third, the role of DTs in industrial product management and control is confirmed through a comparative experiment. Finally, an intelligent algorithm for the automatic identification of internal defects is designed based on lightweight deep learning to improve the efficiency of ultrasonic detection. The results show that the accuracy of the lightweight convolution neural network (CNN) is 94.1%; the model size is 2.9 MB; the network is more lightweight and has an excellent performance in ultrasonic defect detection; the nonlinear finite element analysis results and the test results are consistent. Therefore, it is proved that the finite element analysis method is reliable and helps to improve the efficiency and shorten the design cycle. The emergence of DTs provides a technical scheme for product management and control under the three-dimensional model.

show abstract

“…[36] Cleaner fuel & hybridization (Natural gas, H2, methanol etc.) [37] Changing the old equipment [38] Digital twin [39] Operation Resource management (Demand response management) [40] Lean approach [41][42][43] Production planning and strategy [44] Optimizing shipyard design [45] Policy and regulations Environmental regulations (international, regional, national, and local) [ PDCA Cycle within the Framework Shipbuilding is an energy-intensive industry 2 [58,66,67], and it is therefore important that energy savings are considered in the context of strategic management in order to continuously optimize energy consumption. However, in order to optimize energy consumption, the framework must be kept up to date and the PDCA (Plan-Do-Check-Act) function must be taken into account within the framework.…”

Section: Human Factorsmentioning

confidence: 99%

Identification of Shipyard Priorities in a Multi-Criteria Decision-Making Environment through a Transdisciplinary Energy Management Framework: A Real Case Study for a Turkish Shipyard

Vakili

Ölçer

Schönborn

2021

JMSE

View full text Add to dashboard Cite

Ship building, as an energy-intensive sector, produces significant amounts of air emissions, including greenhouse gases. Most research in greenhouse gas reductions from shipping concentrates on the reduction in emissions during the operational phase. However, as emissions during ship operation are reduced, the construction and dismantling phases of ships are becoming increasingly important in the assessment of the life-cycle impact of ships. In this study, priorities for a Turkish shipyard to become energy efficient were identified by means of a semi-structured questionnaire and an interview. This was undertaken using Fuzzy Multi-Criteria Decision-Making methods, including the Fuzzy Analytical Hierarchy Process and Fuzzy Order of Preference by Similarity to Ideal Solution, which are part of a proposed systematic and transdisciplinary Energy Management Framework and System. By applying Multi-Criteria Decision-Making methods, this framework supports the shipyard’s decision makers to make rational and optimized decisions regarding energy sectors within their activities. Applying the framework has significant potential to help achieve good product quality while reducing costs and environmental impacts, and can thereby enhance the sustainability of shipping. Moreover, the framework can boost both business and socio-economic perspectives for the shipyard, and improve its reputation and competitiveness, in alignment with achieving the Nationally Determined Contributions of States under the Paris Agreement.

show abstract

Developing a Digital Twin and Digital Thread Framework for an ‘Industry 4.0’ Shipyard

Cited by 96 publications

References 55 publications

Solar Preheating in Power Plants: An Overview Of The Current State Of The Technology

Solar Preheating in Power Plants: An Overview Of The Current State Of The Technology

Digital Twins Model of Industrial Product Management and Control Based on Lightweight Deep Learning

Identification of Shipyard Priorities in a Multi-Criteria Decision-Making Environment through a Transdisciplinary Energy Management Framework: A Real Case Study for a Turkish Shipyard

Contact Info

Product

Resources

About