메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Changjae Moon (Korean Register) Giltae Roh (Korean Register) Kyunghwa Kim (Korean Register) Kido Park (Korean Register)
저널정보
한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제47권 제5호
발행연도
2023.10
수록면
275 - 284 (10page)
DOI
10.5916/jamet.2023.47.5.275

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The shipbuilding and shipping industries have recently adopted regulations, such as the energy efficiency design index, existing energy efficiency index, and carbon intensity indicator, from international maritime organizations. However, these regulations do not reflect factors such as the country-specific sailing habits of captains, sailing patterns by route, port environments, and speed regulations in different waters. In this study, we analyze the general factors and profiles that affect the sailing modes of ships and driving modes of automobiles, identify the problems that occur when applying the concepts of automobiles to ships, and investigate their solutions. Based on this, a sailing mode generation algorithm was developed, and the sailing modes of the training ship were constructed from the sailing profile of one voyage. The results can serve as basic data for developing representative sailing mode methodologies generated based on the probability that derives various sailing profiles of different types of ships into one representative sailing mode. In addition, the representative sailing modes derived for specific waters and routes can be used to design optimization systems for new ships and measure the standardized fuel efficiency of ships with various sailing profiles.

목차

Abstract
1. Introduction
2. Analysis of General Characteristics and Profiles of the Ship and Car
3. Identifying Problems When Making the Sailing Modes and Exploring Solutions
4. Ship Sailing Mode
5. Conclusion
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-151-24-02-088334565