Digital Twin in a Dairy Factory

Salimbeni, Sergio; Romera, Nahuel; Redchuk, Andrés

doi:10.1007/978-3-031-14317-5_9

Lecture Notes in Networks and Systems

2022

DOI: 10.1007/978-3-031-14317-5_9

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Digital Twin in a Dairy Factory

Sergio Salimbeni

Nahuel Romera²,

Andrés Redchuk³

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2023

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Cited by 1 publication

(2 citation statements)

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“…This includes planning the initial needs of users and using their feedback to improve future designs. Digital twin technology is recognized as being able to realize this demand in the Industry 4.0 era (Salimbeni et al, 2022). For the offshore wind industry, this technology allows us to monitor and control the turbines from a distance using real-time data.…”

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confidence: 99%

“…This idea could be a promising tool for the improvement of an advanced wind farm, but only if there is a reliable framework that can connect all assets and industries related to wind farms called interoperability. Thus, the digital twin is not only utilized for modeling, control monitoring, and/or predictive maintenance, but also as a management tool for the life cycle management of wind farms itself (Salimbeni et al, 2022).…”

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Industry 4.0 Digital Twins in Offshore Wind Farms

Ambarita,

Karlsen,

Scibilia

et al. 2023

Preprint

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Abstract. The use of digital twins in offshore wind farms presents a major opportunity to advance autonomous operations and optimize productivity. By creating virtual replicas of physical assets and systems, digital twins allow for real-time monitoring, predictive maintenance, and efficient decision-making. In the context of Industry 4.0, wind turbines are required not only to be remotely monitored and controlled through real-time data during operation, but also to manage the whole life cycle within the entire value chain. To accomplish this, the implementation of digital twin frameworks in accordance with Industry 4.0 standards is crucial. Motivated by the advanced technologies related to industrial digital twins in the context of Industry 4.0 implemented in the manufacturing sector, this paper presents findings from a study investigating the potential for transferring knowledge of industrial digital twins to offshore wind farm context. To gain a deeper understanding of the digital twin concept in the context of offshore wind applications, we conducted extensive literature studies. Specifically, we examined frameworks used in both the manufacturing industry and offshore wind industry. Our goal is to identify commonalities and differences between these frameworks, and to determine how they could be adapted to the unique requirements of the offshore wind sector. The Asset Administration Shell (AAS), which is a key concept of the Reference Architecture Model for Industry 4.0 (RAMI 4.0), provides a standardized and modular approach to representing and managing assets in industrial systems. By adopting AAS, offshore wind farms could improve the scalability, adaptability, and interoperability of their digital twin systems, and also enable more efficient and effective operation and maintenance of the turbines. Based on our findings, we concluded that implementing the AAS could be a promising option for enhancing the functionality of digital twins in offshore wind farms, and for achieving interoperability in line with the standards of Industry 4.0.

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confidence: 99%

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confidence: 99%

Industry 4.0 Digital Twins in Offshore Wind Farms

Ambarita,

Karlsen,

Scibilia

et al. 2023

Preprint

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Digital Twin in a Dairy Factory

Cited by 1 publication

References 23 publications

Industry 4.0 Digital Twins in Offshore Wind Farms

Industry 4.0 Digital Twins in Offshore Wind Farms

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