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Speed-Power Performance Analysis of an Existing 8,600 TEU Container Ship using SPA(Ship Performance Analysis) Program and Discussion on Wind-Resistance CoefficientsSpeed-Power Performance Analysis of an Existing 8,600 TEU Container Ship using SPA(Ship Performance Analysis) Program and Discussion on Wind-Resistance Coefficients

Other Titles
Speed-Power Performance Analysis of an Existing 8,600 TEU Container Ship using SPA(Ship Performance Analysis) Program and Discussion on Wind-Resistance Coefficients
Authors
Myung-Soo ShinMin Suk KiBeom Jin Park이경중이영연Yeongseon KimSang Bong Lee
Issue Date
2020
Publisher
한국해양공학회
Keywords
Speed-power analysis; Resistance increase at real sea; Wind resistance; Wave resistance; Water temperature deviation; 8; 600 TEU Container
Citation
한국해양공학회지, v.34, no.5, pp 294 - 303
Pages
10
Journal Title
한국해양공학회지
Volume
34
Number
5
Start Page
294
End Page
303
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/266
DOI
10.26748/KSOE.2020.047
ISSN
1225-0767
2287-6715
Abstract
This study discusses data collection, calculation of wind and wave-induced resistance, and speed-power analysis of an 8,600 TEU container ship. Data acquisition system of the ship operator was improved to obtain the data necessary for the analysis, which was accomplished using SPA (Ship Performance Analysis, Park et al., 2019) in conformation with ISO15016:2015. From a previous operation profile of the container, the standard operating conditions of mean draft were 12.5 m and 13.6 m, which were defined with the mean stowage configuration of each condition. Model tests, including the load-variation test, were conducted to validate new ship performance and for the speed-power analysis. The major part of the added resistance of container ship is due to the wind. To check the reliability of wind-resistance calculation results, the resistance coefficients, added resistance, and speed-power analysis results using the Fujiwara regression formula (ISO15016:2015) and Computational fluid dynamics (Ryu et al., 2016; Jeon et al., 2017) analysis were compared. Wind speed and direction measured using an anemometer were used for wind-resistance calculation and the wave resistance was calculated using the wave-height and direction-data from weather information. Also, measured water temperature was used to calculate the increase in resistance owing to the deviation in water density. As a result, the SPA analysis using measured data and weather information was proved to be valid and able to identify the ship’s resistance propulsion performance. Even with little difference in the air-resistance coefficient value, both methods provide sufficient accuracy for speed-power analysis. The differences were unnoticeable when the speed-power analysis results using each method were compared. Also, speed-power analysis results of the 8,600 TEU container ship in two draft conditions show acceptable trends when compared with the model test results and are also able to show power increase owing to hull fouling and aging. Thus, results of speed-power analysis of the existing 8,600 TEU container ship using the SPA program appropriately exhibit the characteristics of speed-power performance in deal conditions.
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