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Study on Operating Performance Estimation Process of Electric Propulsion Systems for 2.5 Displacement Ton Class Catamaran Fishing Boat

쌍동형 배수량 2.5톤 급 어선의 전기 추진 시스템 운항성능 추정 프로세스 연구

  • Jeong, Yong-Kuk (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Lee, Dong-Kun (Department of Naval Architecture and Ocean Engineering, Mokpo National Maritime University) ;
  • Jeong, Uh-Cheul (Department of Naval Architecture and Ocean Engineering, Inha Technical College) ;
  • Ryu, Cheol-Ho (Department of Naval Architecture and Ocean Engineering, Inha Technical College) ;
  • Oh, Dae-Kyun (Department of Naval Architecture and Ocean Engineering, Mokpo National Maritime University) ;
  • Shin, Jong-Gye (Research Institute of Marine Systems Engineering and Dept. of Naval Architecture and Ocean Engineering, Seoul National University)
  • 정용국 (서울대학교 조선해양공학과) ;
  • 이동건 (목포해양대학교 조선해양공학과) ;
  • 정우철 (인하공업전문대학 조선해양과) ;
  • 류철호 (인하공업전문대학 조선해양과) ;
  • 오대균 (목포해양대학교 조선해양공학과) ;
  • 신종계 (서울대학교 해양시스템공학연구소 및 조선해양공학과)
  • Received : 2013.03.28
  • Accepted : 2013.10.10
  • Published : 2013.10.31

Abstract

Because the environmental regulations for ships are getting tighter, green ships employing eco-friendly technology have recently received a large amount of attention. Among them, various studies for electric propulsion ships have been carried out, particularly in the United States, European Union, and Japan. On the other hand, research related to electric propulsion ships in Korea is in a very nascent stage. In this paper, an estimation process based on the rough requirements of ship-owners for the operating performance of electric propulsion ships is proposed. In addition, the estimation process is applied to a small fishing boat for verification of the process. These results are expected to be used as design guidelines in the early stage of the design process for electric propulsion ships.

Keywords

References

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Cited by

  1. Optimized design of electric propulsion system for small crafts using the differential evolution algorithm vol.1, pp.3, 2014, https://doi.org/10.1007/s40684-014-0029-9