Citation:
Xiao Lang,Wengang Mao.A Practical Speed Loss Prediction Model at Arbitrary Wave Heading for Ship Voyage Optimization[J].Journal of Marine Science and Application,2021,(3):410-425.[doi:10.1007/s11804-021-00224-z]
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A Practical Speed Loss Prediction Model at Arbitrary Wave Heading for Ship Voyage Optimization
Xiao Lang,Wengang Mao.A Practical Speed Loss Prediction Model at Arbitrary Wave Heading for Ship Voyage Optimization[J].Journal of Marine Science and Application,2021,(3):410-425.[doi:10.1007/s11804-021-00224-z]
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- Title:
- A Practical Speed Loss Prediction Model at Arbitrary Wave Heading for Ship Voyage Optimization
- Author(s):
- Xiao Lang; Wengang Mao
- Affilations:
- DOI:
- 10.1007/s11804-021-00224-z
- Abstract:
- This paper proposes a semi-empirical model to predict a ship’s speed loss at arbitrary wave heading. In the model, the formulas that estimate a ship’s added resistance due to waves attacking from different heading angles have been further developed. A correction factor is proposed to consider the nonlinear effect due to large waves in power estimation. The formulas are developed and verified by model tests of 5 ships in regular waves with various heading angles. The full-scale measurements from three different types of ships, i.e., a PCTC, a container ship, and a chemical tanker, are used to validate the proposed model for speed loss prediction in irregular waves. The effect of the improved model for speed loss prediction on a ship’s voyage optimization is also investigated. The results indicate that a ship’s voyage optimization solutions can be significantly affected by the prediction accuracy of speed loss caused by waves.
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Memo
- Memo:
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Received date:2020-12-17。
Foundation item:Open access funding provided by Chalmers University of Technology. The authors acknowledge the financial support from the European Commission (Horizon 2020) project EcoSail (Grant Number 820593). We are also grateful to the support from the Swedish Foundation for International Cooperation in Research and Higher Education (CH2016-6673), National Natural Science Foundation of China (NSFC-51779202). The second author thanks the funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sk?odowska-Curie (Grant Number 754412) and VGR MoRE2020.
Corresponding author:Wengang Mao,E-mail:wengang.mao@chalmers.se
