A new method to analyse the speed power performance of operating ships and its implementation
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초록
Ship operators need means to analyse their fleet’s performance in order to maintain their competitiveness. Important decisions such as voyage planning and scheduled maintenance, are all made based on a ship’s performance. However, there is no reliable method to estimate a ship’s performance. ISO19030 provides a means to measure the changes in performance but is only applicable to data collected over a relatively long period of time and is unsuitable for comparing the performance of sister ships. In this study, we implemented a software to analyse a ship’s performance. To meet the ship operator’s requirements, a new speed power performance analysis method based on ISO15016:2015 is proposed. The proposed method first evaluates the added or decreased resistance due to the environmental changes including wind, waves and water density first. Then, the measured shaft power is corrected by direct power method and finally corrected to reference displacement for comparison. The results of its implementation, a software called SPA, and its application to two ships, a 176K bulk carrier and an 8600TEU container carrier, are described herein.
Abstract
Ship operators need means to analyse their fleet’s performance in order to maintain their competitiveness. Important decisions such as voyage planning and scheduled maintenance, are all made based on a ship’s performance. However, there is no reliable method to estimate a ship’s performance. ISO19030 provides a means to measure the changes in performance but is only applicable to data collected over a relatively long period of time and is unsuitable for comparing the performance of sister ships. In this study, we implemented a software to analyse a ship’s performance. To meet the ship operator’s requirements, a new speed power performance analysis method based on ISO15016:2015 is proposed. The proposed method first evaluates the added or decreased resistance due to the environmental changes including wind, waves and water density first. Then, the measured shaft power is corrected by direct power method and finally corrected to reference displacement for comparison. The results of its implementation, a software called SPA, and its application to two ships, a 176K bulk carrier and an 8600TEU container carrier, are described herein.
참고문헌 (12)
- ISO, "ISO19030 ships and marine technology –Measurements of changes in hull and propeller performance", ISO, ~ (2016)
- H. Goler, "Speed loss analysis of highspeed Ro-Ro vessels coated with new antifoulıng technologies", HullPIC 2017 (2nd Hull Performance &Insight Conference) (2017)
- B. Kidd, "Practical experience with ISO 19030 at chevron shipping - part 2", HullPIC 2018 (3rd Hull Performance & Insight Conference) (2018)
- D. Schmode, "Hull performance prediction beyond ISO19030", HullPIC 2018(3rd Hull Performance & Insight Conference) (2018)
- V. Tsarsitalidis, "ISO 19030 -The good, the bad and the ugly", HullPIC 2018 (3rd Hull Performance & Insight Conference) (2018)
- J. Park, "Hull and propeller fouling decomposition and its prediction based on machine learning approach", HullPIC 2018 (3rd Hull Performance & Insight Conference) (2018)
- D. Gundermann, "When ISO19030fails: Utilizing basic machine learning", data fitting methods for performance analysis without reference data, 2019, ~
- M. Jeon, "Real ship maritime big data analysis for prediction of fuel consumption", HullPIC 2019 (4th Hull Performance &Insight Conference) (2019)
- ISO, "ISO15016 ships and marine technology – Guidelines for the assessment of speed and power performance by analysis of speed trial data", ISO, ~ (2015)
- M. S. Shin, "Revision of the ISO15016 and analysis program (i-STAP) for the analysis of the standard EEDI speed", Bulletin of the Naval Architects of Korea, 53(1) (2016)
- B. J. Park, "Experience in applying ISO19030 to field data", HullPIC 2017 (2nd Hull Performance & Insight Conference) (2017)
- B. J. Park, "Ideas on how to improve ISO19030 based on the results of applying to field data", HullPIC 2018 (3rd Hull Performance & Insight Conference) (2018)
