실선계측 데이터 대체를 위한 AIS 및 ECMWF 데이터베이스 조합을 이용한 LNGC의 분당 회전수 및 동력 추정에 관한 타당성 연구A Feasibility Study on the RPM and Engine Power Estimation Based on the Combination of AIS and ECMWF Database to Replace the Full-scale Measurement
- Other Titles
- A Feasibility Study on the RPM and Engine Power Estimation Based on the Combination of AIS and ECMWF Database to Replace the Full-scale Measurement
- Authors
- 유영준; 김재한; 서민국
- Issue Date
- 2017
- Publisher
- 대한조선학회
- Keywords
- 실선계측; 선박 자동식별장치; 유럽 중기예보센터 데이터베이스; 분당 회전수; 동력; Full-scale measurement; AIS; ECMWF database; RPM; Power
- Citation
- 대한조선학회 논문집, v.54, no.6, pp 501 - 514
- Pages
- 14
- Journal Title
- 대한조선학회 논문집
- Volume
- 54
- Number
- 6
- Start Page
- 501
- End Page
- 514
- URI
- https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/7875
- DOI
- 10.3744/SNAK.2017.54.6.501
- ISSN
- 1225-1143
- Abstract
- In the previous research, a study was carried out to estimate the actual performance such as the propeller Revolution Per Minute (RPM) and engine power of a Liquefied Natural Gas Carrier (LNGC) using the full-scale measurement data. After the predicted RPM and engine power were verified by comparing those with the measured values, the suggested method was regarded to be acceptable.
However, there was a limitation to apply the method on the prediction of the RPM and engine power of a ship. Since the information of route, speed, and environmental conditions required for estimating the RPM and engine power is generally regarded as the intellectual property of a shipping company, it is difficult to secure the information on a shipyard. In this paper, the RPM and engine power of the 151K LNGC was estimated using the combination of Automatic Identification System (AIS) and European Centre for Medium-Range Weather Forecasts (ECMWF) database in order to replace the full-scale measurement. The simulation approach, which was suggested in the previous research, was identically applied to the prediction of RPM and engine power. After the results based on the AIS and ECMWF database were compared with those obtained from the full-scale measurement data, the feasibility was briefly reviewed.
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