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Ship-scale CFD benchmark study of a pre-swirl duct on KVLCC2
Chalmers University of Technology, Sweden.
RISE Research Institutes of Sweden, Safety and Transport, Maritime department. (SSPA)ORCID iD: 0000-0001-8135-6145
Chalmers University of Technology, Sweden.
China Ship Scientific Research Center, China.
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2022 (English)In: Applied Ocean Research, ISSN 0141-1187, E-ISSN 1879-1549, Vol. 123, article id 103134Article in journal (Refereed) Published
Abstract [en]

Installing an energy saving device such as a pre-swirl duct (PSD) is a major investment for a ship owner and prior to an order a reliable prediction of the energy savings is required. Currently there is no standard for how such a prediction is to be carried out, possible alternatives are both model-scale tests in towing tanks with associated scaling procedures, as well as methods based on computational fluid dynamics (CFD). This paper summarizes a CFD benchmark study comparing industrial state-of-the-art ship-scale CFD predictions of the power reduction through installation of a PSD, where the objective was to both obtain an indication on the reliability in this kind of prediction and to gain insight into how the computational procedure affects the results. It is a blind study, the KVLCC2, which the PSD is mounted on, has never been built and hence there is no ship-scale data available. The 10 participants conducted in total 22 different predictions of the power reduction with respect to a baseline case without PSD. The predicted power reductions are both positive and negative, on average 0.4%, with a standard deviation of 1.6%-units, when not considering two predictions based on model-scale CFD and two outliers associated with large uncertainties in the results. Among the variations present in computational procedure, two were found to significantly influence the predictions. First, a geometrically resolved propeller model applying sliding mesh interfaces is in average predicting a higher power reduction with the PSD compared to simplified propeller models. The second factor with notable influence on the power reduction prediction is the wake field prediction, which, besides numerical configuration, is affected by how hull roughness is considered. © 2022 The Authors

Place, publisher, year, edition, pages
Elsevier Ltd , 2022. Vol. 123, article id 103134
Keywords [en]
Benchmark study, KVLCC2, Pre-swirl duct, Ship-scale CFD, Ducts, Energy conservation, Forecasting, Investments, Propellers, Ship propulsion, Ships, Computational procedures, Energy-saving devices, Model scale, Power reductions, Pre-swirl, Ship owners, Ship-scale computational fluid dynamic, Computational fluid dynamics
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:ri:diva-59151DOI: 10.1016/j.apor.2022.103134Scopus ID: 2-s2.0-85127190981OAI: oai:DiVA.org:ri-59151DiVA, id: diva2:1668262
Note

Funding details: Grand Équipement National De Calcul Intensif, GENCI; Funding details: Trafikverket, TRV 2018/76544; Funding text 1: The organization of the study and the contributions by Chalmers and SSPA was supported by the Swedish Transport Administration (grant number TRV 2018/76544). The contribution by Chalmers was based on simulations performed on resources at the National Supercomputer Centre in Sweden (NSC), provided by the Swedish National Infrastructure for Computing (SNIC). The contribution by University of Strathclyde's were based on results obtained using the Archie-West High Performance Computer (www.archie-west.ac.uk). The contribution by ECN/CNRS was granted access to the HPC resources of IDRIS under the allocation 2021-A0092A01308 made by GENCI, France.; Funding text 2: The organization of the study and the contributions by Chalmers and SSPA was supported by the Swedish Transport Administration (grant number TRV 2018/76544 ).

Available from: 2022-06-13 Created: 2022-06-13 Last updated: 2023-04-28Bibliographically approved

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Shiri, AlexWerner, Sofia

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