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Investigations on experimental and computational trim optimisation methods
RISE Research Institutes of Sweden, Safety and Transport, Maritime department. Chalmers University of Technology, Sweden.ORCID iD: 0000-0001-7136-7932
RISE Research Institutes of Sweden, Safety and Transport, Maritime department.ORCID iD: 0000-0002-6266-2320
Chalmers University of Technology, Sweden.
2023 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 288, article id 116098Article in journal (Refereed) Published
Abstract [en]

Shipping is vital for global trade but also emits significant greenhouse gases. To address this issue, various measures have been proposed, including improved ship design, alternative fuels, and improved operational practices. One such cost-effective operational measure is trim optimisation, which involves operating the ship at the hydrodynamically optimal forward and aft draughts. This study focuses on investigating the trim trends of a RoPax vessel using experimental fluid dynamics (EFD) and computational fluid dynamics (CFD) methods. The trim trends are derived in resistance and self-propelled modes. Multiple CFD methods are examined, along with different extrapolation techniques for experimental results. Uncertainty assessment is conducted for the experimental data, and a verification and validation study is performed. Furthermore, the predictions are compared with real operational data. The findings reveal that determining trim trends solely in towed mode is inadequate due to the profound influence of the operating propeller. Some of the investigated CFD methods demonstrate good agreement with the model test results in self-propelled mode, while others exhibit limitations. By selecting appropriate models and configurations, this study demonstrates that trim trends can be determined with sufficient precision, as evidenced by the comparison between ship operational data and predictions from EFD and CFD methods. 

Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 288, article id 116098
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:ri:diva-67674DOI: 10.1016/j.oceaneng.2023.116098Scopus ID: 2-s2.0-85175079044OAI: oai:DiVA.org:ri-67674DiVA, id: diva2:1815858
Note

This research was funded by Energimyndigheten, the Swedish Energy Agency , grant 2020-018759 , and the computational resources provided by RISE-SSPA Maritime Center.

Available from: 2023-11-30 Created: 2023-11-30 Last updated: 2024-02-15Bibliographically approved

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Korkmaz, Kadir BurakWerner, Sofia

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