2,700톤급 전기추진 스마트 선박의 실선 운항데이터 분석을 통한 오손 효과 검토 연구
A Feasibility Study on Effects of Fouling on Speed and Power for 2,700ton-Class Electric-Propulsion Smart Ship by Analyzing Full-Scale Measurement Data
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
For developing net-zero technology in the shipbuilding and shipping industry, a novel approach for quantifying energy efficiency of a ship has been requested. Although the full-scale performance of a ship has been assessed, there are restrictions due to the fouling effect on the resistance and powering of a ship. In this paper, a feasibility study was aimed at investigating the effects of fouling on speed and power for the 2,700 ton-class electric-propulsion smart ship by analyzing full-scale measurement data. First, full-scale measurements were classified according to trip number after full-scale measurements were post-processed by excluding missing data, data outliers, and inconsistent data. Second, speed-RPM and speed-power relations were obtained by applying the least square method. Third, regression was repeatedly conducted according to sea state to investigate the effect of environmental loads on speed-RPM and speed-power relations. Fourth, the effect of fouling was quantified by evaluating speed loss over time. Finally, it was possible for us to recognize the limitation that the speed-RPM and speed-power relation acquired from full-scale measurement data analysis due to fouling effect.
Abstract
For developing net-zero technology in the shipbuilding and shipping industry, a novel approach for quantifying energy efficiency of a ship has been requested. Although the full-scale performance of a ship has been assessed, there are restrictions due to the fouling effect on the resistance and powering of a ship. In this paper, a feasibility study was aimed at investigating the effects of fouling on speed and power for the 2,700 ton-class electric-propulsion smart ship by analyzing full-scale measurement data. First, full-scale measurements were classified according to trip number after full-scale measurements were post-processed by excluding missing data, data outliers, and inconsistent data. Second, speed-RPM and speed-power relations were obtained by applying the least square method. Third, regression was repeatedly conducted according to sea state to investigate the effect of environmental loads on speed-RPM and speed-power relations. Fourth, the effect of fouling was quantified by evaluating speed loss over time. Finally, it was possible for us to recognize the limitation that the speed-RPM and speed-power relation acquired from full-scale measurement data analysis due to fouling effect.
