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Vessel energy efficiency uncertainty optimization analysis in ice zone considering interval parameters

Vessel energy efficiency uncertainty optimization analysis in ice zone considering interval parameters
Vessel energy efficiency uncertainty optimization analysis in ice zone considering interval parameters
Searching for the optimal engine speed to reduce the Energy Efficiency Operation Index (EEOI), which is an important design guide for vessels in operation, is a significant way to achieve intelligent navigation control, aiming for energy savings and emission reduction. Due to high uncertainty in the ice environment, optimization and analysis that consider uncertainty are necessary for the energy efficiency design of vessels sailing in this kind of zone. Vessels in ice areas are affected by the impact of ice loads and water velocity during navigation, which can be described by interval numbers for their simple meaning and clear boundary. This research concerns uncertainty of ice loads and water velocity in both single and multiple segments in the vessel speed optimization design process. Random statistics distribution models of the involved factors are then introduced into the interval optimization system, whose randomness is analysed. A series of cases is tested, using different interval radiuses and algorithms and other configuration parameters to analyse the influence of uncertainty. The results of optimization, with about 15% reduce of EEOI, and analysis can provide feasible guidance for vessel energy efficiency design, taking into account the uncertainty of the actual environment.
EEOI; Vessel speed; Ice area; Interval optimization; Uncertainty analysis
0029-8018
1-11
Hou, Yuanhang
f71b3f13-ed85-4867-ad12-3d729acf2a6e
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Zhang, Yonglong
99cc4637-ba04-43e9-8e90-35311f7cae0a
Liang, Xiao
37b7ee72-3e5d-4e17-baa7-19c10e194c55
Su, Linfang
20eb416c-9ade-46bd-a0fd-ebe175227f76
Hou, Yuanhang
f71b3f13-ed85-4867-ad12-3d729acf2a6e
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Zhang, Yonglong
99cc4637-ba04-43e9-8e90-35311f7cae0a
Liang, Xiao
37b7ee72-3e5d-4e17-baa7-19c10e194c55
Su, Linfang
20eb416c-9ade-46bd-a0fd-ebe175227f76

Hou, Yuanhang, Xiong, Yeping, Zhang, Yonglong, Liang, Xiao and Su, Linfang (2021) Vessel energy efficiency uncertainty optimization analysis in ice zone considering interval parameters. Ocean Engineering, 232 (9), 1-11, [109114]. (doi:10.1016/j.oceaneng.2021.109114).

Record type: Article

Abstract

Searching for the optimal engine speed to reduce the Energy Efficiency Operation Index (EEOI), which is an important design guide for vessels in operation, is a significant way to achieve intelligent navigation control, aiming for energy savings and emission reduction. Due to high uncertainty in the ice environment, optimization and analysis that consider uncertainty are necessary for the energy efficiency design of vessels sailing in this kind of zone. Vessels in ice areas are affected by the impact of ice loads and water velocity during navigation, which can be described by interval numbers for their simple meaning and clear boundary. This research concerns uncertainty of ice loads and water velocity in both single and multiple segments in the vessel speed optimization design process. Random statistics distribution models of the involved factors are then introduced into the interval optimization system, whose randomness is analysed. A series of cases is tested, using different interval radiuses and algorithms and other configuration parameters to analyse the influence of uncertainty. The results of optimization, with about 15% reduce of EEOI, and analysis can provide feasible guidance for vessel energy efficiency design, taking into account the uncertainty of the actual environment.

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More information

Accepted/In Press date: 4 May 2021
e-pub ahead of print date: 14 May 2021
Keywords: EEOI; Vessel speed; Ice area; Interval optimization; Uncertainty analysis

Identifiers

Local EPrints ID: 448959
URI: http://eprints.soton.ac.uk/id/eprint/448959
ISSN: 0029-8018
PURE UUID: 70f0dd12-3890-4bb5-b21f-0885847e7bae
ORCID for Yeping Xiong: ORCID iD orcid.org/0000-0002-0135-8464

Catalogue record

Date deposited: 11 May 2021 17:12
Last modified: 26 Nov 2021 02:44

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Contributors

Author: Yuanhang Hou
Author: Yeping Xiong ORCID iD
Author: Yonglong Zhang
Author: Xiao Liang
Author: Linfang Su

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