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A Validation Study of Full-Scale CFD Simulation for Sea Trial Performance Prediction of Ships
RISE Research Institutes of Sweden, Safety and Transport, Maritime department.ORCID iD: 0000-0001-7136-7932
RISE Research Institutes of Sweden, Safety and Transport, Maritime department.ORCID iD: 0009-0005-2123-8880
RISE Research Institutes of Sweden, Safety and Transport, Maritime department.ORCID iD: 0000-0002-3829-0918
RISE Research Institutes of Sweden, Safety and Transport, Maritime department.ORCID iD: 0000-0002-6266-2320
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2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Shipping is a critical component of global trade but also accounts for a substantial portion of global greenhouse gas emissions. Recognising this issue, the International Maritime Organisation (IMO) has implemented new measures aimed at determining the energy efficiency of all ships and promoting continuous improvements, such as the Energy Efficiency Existing Ship Index (EEXI). As Computational Fluid Dynamics (CFD) can be used to calculate the EEXI value, RISE-SSPA1 and Flowtech have developed a CFD-based method for predicting full-scale ship performance with SHIPFLOW v7.0, which meets the new requirements of IMO. The method is validated through an extensive comparison study that examines the delivered power and propeller rotation rate between full-scale CFD predictions and high-quality sea trials using 14 common cargo ships of varying sizes and types. The comparison between the CFD predictions and 59 sea trials shows that both delivered power and RPM can be predicted with satisfactory accuracy, with an average comparison error of about 4% and 2%, respectively. The numerical methods used in this study differ significantly from the majority of the state-of-the-art CFD codes, highlighting their potential for future applications in ship performance prediction. Thorough validation with a large number of sea trials is essential to establish confidence in CFD-based ship performance prediction methods, which is crucial for the credibility of the EEXI framework and its potential to contribute to shipping decarbonisation.

Place, publisher, year, edition, pages
2023.
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:ri:diva-71770OAI: oai:DiVA.org:ri-71770DiVA, id: diva2:1837737
Conference
X International Conference on Computational Methods in Marine Engineering MARINE 2023
Note

The study was mainly supported by internal strategic funding, which supports development in corecompetence areas. In addition, this work received funds from the Swedish Transport Agency, projectLOVA TRV 2020/92054 and the Swedish Energy Agency, project ITRIM grant 2020/018759.

Available from: 2024-02-14 Created: 2024-02-14 Last updated: 2024-03-18Bibliographically approved

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Korkmaz, Kadir BurakKim, KeunjaeLiefvendahl, MattiasWerner, Sofia

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