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Hydrodynamic optimization of twin-skeg LNG ships by CFD and model testing
SSPA Sweden AB, Sweden.ORCID iD: 0009-0005-2123-8880
SSPA Sweden AB, Sweden.
SSPA Sweden AB, Sweden.
SSPA Sweden AB, Sweden.
2014 (English)In: International Journal of Naval Architecture and Ocean Engineering, ISSN 2092-6782, E-ISSN 2092-6790, Vol. 6, no 2, p. 392-405Article in journal (Refereed) Published
Abstract [en]

SSPA experiences a growing interest in twin skeg ships as one attractive green ship solution. The twin skeg concept is well proven with obvious advantages for the design of ships with full hull forms, restricted draft or highly loaded propellers. SSPA has conducted extensive hull optimizations studies of LNG ships of different size based on an extensive hull data base with over 7,000 models tested, including over 400 twin skeg hull forms. Main hull dimensions and different hull concepts such as twin skeg and single screw were of main interest in the studies. In the present paper, one twin skeg and one single screw 170 K LNG ship were designed for optimally selected main dimension parameters. The twin skeg hull was further optimized and evaluated using SHIPFLOW FRIENDSHIP design package by performing parameter variation in order to modify the shape and positions of the skegs. The finally optimized models were then built and tested in order to confirm the lower power demand of twin skeg designed compaed with the signle screw design. This paper is a full description of one of the design developments of a LNG twin skeg hull, from early dimensional parameter study, through design optimization phase towards the confirmation by model tests.

Place, publisher, year, edition, pages
Society of Naval Architects of Korea , 2014. Vol. 6, no 2, p. 392-405
Keywords [en]
Computational fluid dynamics; Fluid dynamics; Screws; Ship propellers; Ship propulsion; Ship testing; Ships; Tankers (ships), Dimensional parameters; Hull designs; LNG ship; Model testing; Single screw; Twin-skeg, Hulls (ship)
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:ri:diva-71768DOI: 10.2478/IJNAOE-2013-0187Scopus ID: 2-s2.0-84903588842OAI: oai:DiVA.org:ri-71768DiVA, id: diva2:1837896
Available from: 2024-02-15 Created: 2024-02-15 Last updated: 2024-02-15Bibliographically approved

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Kim, Keunjae

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