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Levelling the Playing Field: A Numerical Platform for the Fair Comparison of Wind Propulsion Systems
SSPA Sweden AB, Sweden.ORCID iD: 0000-0003-1035-709X
SSPA Sweden AB, Sweden.ORCID iD: 0000-0002-6266-2320
RISE Research Institutes of Sweden, Safety and Transport, Maritime department. SSPA Sweden AB, Sweden.ORCID iD: 0000-0002-5364-4948
SSPA Sweden AB, Sweden.ORCID iD: 0000-0001-8719-5362
2022 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Wind propulsion systems (WPS) are major investments and the decision to install them requires careful consideration of many complex questions. One of the recurring and challenging issues for ship owners is the choice of a suitable WPS for a specific ship and a specific operational pattern. Today most WPS providers offer on-demand case studies, but obviously the underlying performance prediction methodologies differ from provider to provider. This makes comparing different technologies from competing suppliers next to impossible. In this paper we present a numerical platform to compare different WPS of different makes, sizes, and costs in a fair way. The fundamental idea is to use aerodynamic WPS datasets that are independently verified by SSPA through wind tunnel test, sea trials or extensive CFD. This is combined with a hydrodynamic dataset from SSPAs database of tank tests. The same performance prediction method, identical routes and weather statistics are then used to determine Key Performance Indicators and financial metrics of the competing wind propulsion technologies. The purpose is to provide guidance for shipowners at the early concept stage of a vessel and help them select a system that suits their particular requirements.

Place, publisher, year, edition, pages
2022. p. 161-
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:ri:diva-71904OAI: oai:DiVA.org:ri-71904DiVA, id: diva2:1839328
Conference
Hiper, Italy
Available from: 2024-02-20 Created: 2024-02-20 Last updated: 2024-02-20Bibliographically approved

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Gerhardt, FrederikWerner, SofiaLi, Da-QingMalmek, Karolina

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