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Full-scale unsteady RANS CFD simulations of ship behaviour and performance in head seas due to slow steaming

Full-scale unsteady RANS CFD simulations of ship behaviour and performance in head seas due to slow steaming
Full-scale unsteady RANS CFD simulations of ship behaviour and performance in head seas due to slow steaming
It is critical to be able to estimate a ship׳s response to waves, since the resulting added resistance and loss of speed may cause delays or course alterations, with consequent financial repercussions. Slow steaming has recently become a popular approach for commercial vessels, as a way of reducing fuel consumption, and therefore operating costs, in the current economic and regulatory climate. Traditional methods for the study of ship motions are based on potential flow theory and cannot incorporate viscous effects. Fortunately, unsteady Reynolds-Averaged Navier–Stokes computations are capable of incorporating both viscous and rotational effects in the flow and free surface waves. The key objective of this study is to perform a fully nonlinear unsteady RANS simulation to predict the ship motions and added resistance of a full scale KRISO Container Ship model, and to estimate the increase in effective power and fuel consumption due to its operation in waves. The analyses are performed at design and slow steaming speeds, covering a range of regular head waves, using a commercial RANS solver. The results are validated against available experimental data and are found to be in good agreement with the experiments. Also, the results are compared to those from potential theory
0029-8018
186-206
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Demirel, Yigit Kemal
44a59a7c-8ba9-481d-be96-d50c46fbdf34
Kellett, Paula
c4806dbe-63a1-4a68-ac5c-9cd397a3201c
Khorasanchi, Mahdi
9772f65b-eb95-476f-a9ef-f6737e2732f2
Incecik, Atilla
25a12ee2-7ba6-47cf-af5d-a79de4c6a2c4
Turan, Osman
5e66f3ca-4bfa-4a5d-9a35-ba3bdd3b4ee3
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Demirel, Yigit Kemal
44a59a7c-8ba9-481d-be96-d50c46fbdf34
Kellett, Paula
c4806dbe-63a1-4a68-ac5c-9cd397a3201c
Khorasanchi, Mahdi
9772f65b-eb95-476f-a9ef-f6737e2732f2
Incecik, Atilla
25a12ee2-7ba6-47cf-af5d-a79de4c6a2c4
Turan, Osman
5e66f3ca-4bfa-4a5d-9a35-ba3bdd3b4ee3

Tezdogan, Tahsin, Demirel, Yigit Kemal, Kellett, Paula, Khorasanchi, Mahdi, Incecik, Atilla and Turan, Osman (2015) Full-scale unsteady RANS CFD simulations of ship behaviour and performance in head seas due to slow steaming. Ocean Engineering, 97 (3), 186-206. (doi:10.1016/j.oceaneng.2015.01.011).

Record type: Article

Abstract

It is critical to be able to estimate a ship׳s response to waves, since the resulting added resistance and loss of speed may cause delays or course alterations, with consequent financial repercussions. Slow steaming has recently become a popular approach for commercial vessels, as a way of reducing fuel consumption, and therefore operating costs, in the current economic and regulatory climate. Traditional methods for the study of ship motions are based on potential flow theory and cannot incorporate viscous effects. Fortunately, unsteady Reynolds-Averaged Navier–Stokes computations are capable of incorporating both viscous and rotational effects in the flow and free surface waves. The key objective of this study is to perform a fully nonlinear unsteady RANS simulation to predict the ship motions and added resistance of a full scale KRISO Container Ship model, and to estimate the increase in effective power and fuel consumption due to its operation in waves. The analyses are performed at design and slow steaming speeds, covering a range of regular head waves, using a commercial RANS solver. The results are validated against available experimental data and are found to be in good agreement with the experiments. Also, the results are compared to those from potential theory

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More information

Accepted/In Press date: 24 January 2015
Published date: 1 March 2015

Identifiers

Local EPrints ID: 479235
URI: http://eprints.soton.ac.uk/id/eprint/479235
ISSN: 0029-8018
PURE UUID: 317bbf18-ae6a-487f-8122-8792932f5dfd
ORCID for Tahsin Tezdogan: ORCID iD orcid.org/0000-0002-7032-3038

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Date deposited: 20 Jul 2023 16:47
Last modified: 17 Mar 2024 04:18

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Contributors

Author: Tahsin Tezdogan ORCID iD
Author: Yigit Kemal Demirel
Author: Paula Kellett
Author: Mahdi Khorasanchi
Author: Atilla Incecik
Author: Osman Turan

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