Ocean Digital Twins

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (1 March 2024) | Viewed by 923

Special Issue Editors

School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth, UK
Interests: wave modelling; extreme waves; numerical models; CFD; marine renewable energy; coastal protection; climate adaptation
Engineering Design and Naval Engines, Centro Universitario de la Defensa en la Escuela Naval Militar, Marín, Spain
Interests: offshore renewable energy; offshore wind; wave energy: ocean engineering; unmanned vehicles; digital twins
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Special Issue Information

Dear Colleagues,

Ocean Digital Twins (ODT) are digital representations of the real-world ocean, achieved through multi-variable and multi-dimensional descriptions of properties of the physical ocean environment. ODT integrate data can describe the entire marine environment, such as water physical properties, low atmospheric and biochemical processes, biodiversity data, sediment transport, interaction with human-made structures, citizen science observations, etc., as well as socio-economic data, such as demographics, economic activities, impacts of pollution, etc. The scope of ODT allows for a realistic assessment of a situation with different possible scenarios and effects in order to timely provide evidence-based and informed decision-making. Therefore, ODT is an inherently multi-disciplinary area covering fundamental research to real-life applications.

ODT is based on three pillars: (i) big data collection and processing; (ii) scientific models and their integration; and (iii) functional decision-making platforms to compare the what-if scenarios.

The potential of ODT is tremendous in helping to make the right decisions for the protection and restoration of marine and coastal habitats, for the mitigation and adaption to climate change, for supporting a sustainable blue economy and for enhancing maritime safety and security. The plethora of available data from in situ observations, satellites and those produced by numerical models, in combination with AI-based methods, can generate very powerful ODT tools, which can accelerate our knowledge and understanding of the ocean environment. This potential is highlighted as a priority by the international community, for example in the EU Mission Restore our Ocean and Waters, the UN Decade of Ocean Science for Sustainable Development and the All-Atlantic Ocean Research Alliance.

This issue aims at compiling the first experience from the development and application of ODT. Original research and review papers and technical reports are welcome in the following areas:

  • Recent developments in ODT;
  • Systems or parts of systems and models that have the potential to be used in ODT;
  • Methods of integrating different data and models, making data interoperable across platforms;
  • Infrastructure needed for ODT, use of the currently available infrastructure and applications in different HPC architectures;
  • Lessons learned and performance of models when running on HPCs;
  • Progress in utilizing available data and platforms, such as EMODnet and Copernicus, and case studies that stem from their use;
  • Case studies of successful implementation of ODT for decision making.

Dr. Thomas Vyzikas
Dr. Carlos Pérez-Collazo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital twins
  • ocean observations
  • numerical models
  • marine environment
  • climate adaptation
  • decision making
  • blue economy
  • environmental hazards

Published Papers (1 paper)

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Research

20 pages, 27313 KiB  
Article
A Digital Twin for Assessing the Remaining Useful Life of Offshore Wind Turbine Structures
by Rafael Pacheco-Blazquez, Julio Garcia-Espinosa, Daniel Di Capua and Andres Pastor Sanchez
J. Mar. Sci. Eng. 2024, 12(4), 573; https://doi.org/10.3390/jmse12040573 (registering DOI) - 28 Mar 2024
Abstract
This paper delves into the application of digital twin monitoring techniques for enhancing offshore floating wind turbine performance, with a detailed case study that uses open-source digital twin software. We explore the practical implementation of digital twins and their efficacy in optimizing operations [...] Read more.
This paper delves into the application of digital twin monitoring techniques for enhancing offshore floating wind turbine performance, with a detailed case study that uses open-source digital twin software. We explore the practical implementation of digital twins and their efficacy in optimizing operations and predictive maintenance, focusing on controlling the real-time structural state of composite wind turbine structures and forecasting the remaining useful life by tracking the fatigue state in the structure. Our findings emphasize digital twins’ potential as a valuable tool for renewable energy, driving efficiency and sustainability in offshore floating wind installations. These aspects, along with the aforementioned simulations, whether in real-time or forecasted, reduce costly and unnecessary inspections and scheduled maintenance. Full article
(This article belongs to the Special Issue Ocean Digital Twins)
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