An Arctic ship performance model for sea routes in ice-infested waters
Artikel i vetenskaplig tidskrift, 2021

Global warming is creating significant change in the Arctic environment, with widespread reduction in ice extent, thickness and compactness. This has opened numerous shipping routes through the Arctic and provides the opportunity to reduce the distance, time and emissions of voyages. However, for a ship to operate in such polar routes, ice conditions need to be properly accounted for to accurately estimate fuel consumption. To meet this key challenge, this paper presents a ship performance model designed to incorporate a set of ice resistance algorithms alongside the calculation of open-water ship resistance and fuel consumption. In particular, a novel method is proposed to calculate ship resistance in ice-floe fields, other than the traditional level-ice condition. Subsequently, the model has been used to simulate a voyage in the Northern Sea Route and the fuel consumption prediction agrees well with corresponding full-scale measurement data. Overall, the work provides a practical tool for the emerging Arctic shipping industry to carry out fuel analysis and voyage planning.

arctic

ice floe

ship performance model

ice resistance

fuel consumption

Författare

Christopher Ryan

University College London (UCL)

Luofeng Huang

University College London (UCL)

Zhiyuan Li

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Jonas Ringsberg

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Giles Thomas

University College London (UCL)

Applied Ocean Research

0141-1187 (ISSN)

Vol. 117 102950

SEDNA - Safe maritime operations under extreme conditions: the Arctic case

Europeiska kommissionen (EU) (723526), 2017-06-01 -- 2020-04-30.

Drivkrafter

Hållbar utveckling

Innovation och entreprenörskap

Styrkeområden

Transport

Energi

Materialvetenskap

Ämneskategorier

Teknisk mekanik

Energiteknik

Annan materialteknik

Farkostteknik

Energisystem

Marin teknik

Fundament

Grundläggande vetenskaper

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1016/j.apor.2021.102950

Mer information

Senast uppdaterat

2021-11-18