• Title/Summary/Keyword: ISO15016

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Uncertainty Analysis for Speed and Power Performance in Sea Trial using Monte Carlo Simulation (몬테카를로 시뮬레이션을 이용한 시운전 선속-동력 성능에 대한 불확실성 해석)

  • Seo, Dae-Won;Kim, Min-Su;Kim, Sang-Yeob
    • Journal of the Society of Naval Architects of Korea
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    • v.56 no.3
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    • pp.242-250
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    • 2019
  • The speed and power performance of a ship is not only a guarantee issue between the ship owner and the ship-yard, but also is related with the Energy Efficiency Design Index (EEDI) regulation. Recently, International Organization for Standardization (ISO) published the procedure of the measurement and assessment for ship speed and power at sea trial. The results of speed and power performance measured in actual sea condition must inevitably include various uncertainty factors. In this study, the influence for systematic error of shaft power measurement system was examined using the Monte Carlo simulation. It is found that the expanded uncertainty of speed and power performance is approximately ${\pm}1.2%$ at the 95% confidence level(k=2) and most of the uncertainty factor is attributed to shaft torque measurement system.

Uncertainty analysis of speed-power performance based on measured raw data in sea trials

  • Seo, Dae-Won;Oh, Jungkeun
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.13 no.1
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    • pp.396-404
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    • 2021
  • It is important to verify that the contracted speed-power performance of a ship is satisfied in sea trials. International Organization for Standardization (ISO) has published the procedure for measuring and assessing ship speed during sea trials. The results obtained from actual sea conditions inevitably include various uncertainty factors. In this study, double run tests were performed on one container ship to analyze the uncertainty of sea trial on three maximum continuous rating conditions. The uncertainty factors and scale of uncertainty were examined based on the measured raw data during sea trial. The results indicate that the expanded uncertainty for ideal power performance is approximately ±1.4% at 95% confidence level (coverage factor k = 2) and most of the uncertainty factors were because of the shaft power measurement system.

Synchronization and identification of ship shaft power and speed for energy efficiency design index verification

  • Lee, Donchool;Barro, Ronald Dela Cruz;Nam, Jeonggil
    • Journal of Advanced Marine Engineering and Technology
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    • v.38 no.2
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    • pp.123-132
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    • 2014
  • The maritime sector is advancing with dedicated endeavor to reduce greenhouse gas in addressing issues with regards to global warming. Since 01 January 2013, the International Maritime Organization (IMO) regulation mandatory requirement for Energy Efficiency Design Index (EEDI) has been in place and should be satisfied by newly-built ships of more than 400 gross tonnage and the Ship Energy Efficiency Management Plan (SEEMP) for all ships type. Therefore, compliance to this necessitates planning during the design stage whereas verification can be carried-out through an acceptable method during sea trial. The MEPC-approved 2013 guidance, ISO 15016 and ISO 19019 on EEDI serves the purpose for calculation and verification of attained EEDI value. Individual ships EEDI value should be lower than the required value set by these regulations. The key factors for EEDI verification are power and speed assessment and their synchronization. The shaft power can be measured by telemeter system using strain gage during sea trial. However, calibration of shaft power onboard condition is complicated. Hence, it relies only on proficient technology that operates within the permitted ISO allowance. On the other hand, the ship speed can be measured and calibrated by differential ground positioning system (DGPS). An actual test on a newly-built vessel was carried out to assess the correlation of power and speed. The Energy-efficiency Design Index or Operational Indicator Monitoring System (EDiMS) software developed by the Dynamics Laboratory-Mokpo Maritime University (DL-MMU) and Green Marine Equipment RIS Center (GMERC) of Mokpo Maritime University was utilized for this investigation. In addition, the software can continuously monitor air emission and is a useful tool for inventory and ship energy management plan. This paper introduces the synchronization and identification method between shaft power and ship speed for EEDI verification in accordance with the ISO guidance.

북극항로 운항 선박의 운항성능 추정 모델 개발

  • Kim, Jeong-Jung;Gang, Guk-Jin;Jeong, Seong-Yeop;Kim, Eun-Chan;Kim, Hyeon-Su
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.11a
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    • pp.173-174
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    • 2018
  • 온난화 현상으로 북극 해빙 속도가 가속화되면서 북극 운항 선박이 증가하고 있어 선박의 안전 항해를 위한 기술개발이 요구되고 있다. 본 연구에서는 선박해양플랜트연구소에서 개발 중인 KRISO Arctic Safe Routing System(KARS)의 안전 최적항로 계획 방법의 선박실 운항 추진성능 모델 과 선박 고유의 빙 저항 추진 성능 데이터베이스 구성 내용을 소개하였다. 추진성능 모델은 예인 수조시험의 속도-마력 -RPM 성능 데이터와 실 운항에서 조우할 수 있는 바람, 파도 등의 외란에 기인하는 부가저항 및 빙해수조 결과를 바탕으로 다양한 빙상환경에 따른 빙 성능 추정결과를 활용하여 ISO15016: 2002 기반으로 Calm sea 및 빙 해역에서의 선박 속도-마력 성능에서 외란에 의한 부가저항에 따른 소요마력 및 속도변화를 추정하도록 하였다. 제안된 성능모델은 최적 북극항로 탐색 모듈과 결합되어 안전한 북극항로를 도출할 수 있음을 확인하였다.

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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 Coefficients

  • Shin, Myung-Soo;Ki, Min Suk;Park, Beom Jin;Lee, Gyeong Joong;Lee, Yeong Yeon;Kim, Yeongseon;Lee, Sang Bong
    • Journal of Ocean Engineering and Technology
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    • v.34 no.5
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    • pp.294-303
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    • 2020
  • 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.