EconPapers    
Economics at your fingertips  
 

Will sailing in formation reduce energy consumption? Numerical prediction of resistance for ships in different formation configurations

Yangying He, Junmin Mou, Linying Chen, Qingsong Zeng, Yamin Huang, Pengfei Chen and Song Zhang

Applied Energy, 2022, vol. 312, issue C, No S0306261922001593

Abstract: In nature, emergent collective behaviors suggest that the followers would obtain energy benefit from positive interaction with the leader’s wake by certain configurations. This article answers the question about the motivation of formation control research -- “will sailing in formation reduce energy consumption”. We carried out a series of numerical analyses on the relationship between resistance and formation configurations using the Reynolds Averaged Navier-Stokes (RANS) method in combination with the Shear Stress Transport (SST) k-ω turbulence model. At the first stage, verification and four-separate-distance benchmark cases are conducted to test grid discretization and numerical methods. Then, parametric studies are performed at various longitudinal offsets and transverse separations in tandem, parallel, and triangle formations. The numerical results indicate that specific formation configurations could bring resistance reduction and achieve energy benefit from the perspective of the whole convoy and the individual ship. Discussions on the resistance, energy consumption, and formation configuration are provided, respectively. Five energy consumption regions are established based on the resistance variations under different formation configurations. In terms of energy preservation, tandem formation is the optimal fleet configuration, followed by the triangle and parallel formation. Besides, for better maneuverability, specific longitudinal distances and lateral gaps are given to eliminate the additional lateral force and yaw moment caused by the ship-ship interaction.

Keywords: 3-ship convoy; CFD; Hydrodynamic interaction; Energy consumption; Fleet configuration optimization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261922001593
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:312:y:2022:i:c:s0306261922001593

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2022.118695

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:appene:v:312:y:2022:i:c:s0306261922001593