• Title/Summary/Keyword: 발라스트 탱크

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Optimal Design of Mud Flushing System in Ballast tank of LNG Carrier (LNG선 Ballast Tank Mud Flushing System의 최적설계)

  • Park, Sang Hyeop;Song, Yoo Seok;Kim, Young Bok
    • Transactions of the KSME C: Technology and Education
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    • v.4 no.2
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    • pp.85-92
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    • 2016
  • During ballast of a LNG carrier, the mud at the sea floor can enter the tanks together with the ballast water if the LNG terminal is located at shallow water region. In order to remove the mud deposited on the tank floor during deballasting, the mud flushing system in the ballast tanks is applied. In this study, various analyses to conform the efficiency in the mud removal are performed. In order to design the mud flushing system, the particle size of the mud is measured by particle size analyzer. Flushing performance is evaluated by numerical analysis. From the results of numerical analysis including flow field and piping system network, the optimized flushing system is determined.

A study on a ballast optimization algorithm for onboard decision support system (선내탑재 의사결정지원 시스템을 위한 발라스트 최적화 알고리즘에 관한 연구)

  • Shin Sung-Chul
    • Journal of Navigation and Port Research
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    • v.29 no.10 s.106
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    • pp.865-870
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    • 2005
  • Because there are only a limited number of means of action that are available for the master to pursue in the event of flooding, onboard decision support system has been required. The majority of systems activated during a flooding emergency (such as watertight and semi-watertight doors, bulkhead valves, dewatering pumps etc.) almost exclusively aim to restore a sufficiently high level of subdivision to prevent flooding from spreading through the ship. Even though assuming the flooding scenario is not catastrophic, the use of ballast tanks can be an additional and very effective tool to ensure both prevention of flooding spreading and also improve ship stability. This paper describes an optimization algorithm devised to choose the set of ballast tanks that should be filled in order to achieve an optimal response to a flooding accident.

A study on a ballast optimization algorithm for onboard decision support system (선내탑재 의사결정지원 시스템을 위한 발라스트 최적화 알고리즘에 관한 연구)

  • Shin Sung-Chul
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2005.10a
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    • pp.75-80
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    • 2005
  • Because there are only a limited number of means of action that are available for the master to pursue in the event of flooding, onboard decision support system has been required The majority of systems activated during a flooding emergency (such as watertight and semi-watertight doors, bulkhead valves, dewatering pumps etc.) almost exclusively aim to restore a sufficiently high level of subdivision to prevent flooding from spreading through the ship. Even though assuming the flooding scenario is not catastrophic, the use of ballast tanks can be an additional and very effective tool to ensure both prevention of flooding spreading and also improve ship stability. This paper describes an optimization algorithm devised to choose the set of ballast tanks that should be filled in order to achieve an optimal response to a flooding accident.

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A Study on the Ballast Control System for Offshore Plant (Offshore Plant용 발라스트 제어 시스템에 관한 연구)

  • Oh, Jin Seok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.12
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    • pp.2944-2951
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    • 2013
  • Recently, the offshore plant has been revived by rise in oil prices and energy consumption. Due to the external environmental impact, the ballast system is essential for an offshore plant. The ballast system for the existing offshore plant, consist of pump 6EA and Ballast tank 4EA, is performed by the tilt control. However, this system is vulnerable to a failure due to the fact that a lot of equipment needs to be installed within the system. In this paper, a new concept of ballast system and the control algorithm based on IT is proposed. Simulator has been created to test the proposed system and algorithm, and as a result, it has proven that it is controlled stably.

Fuzzy Logic-Based Blowing Controller for Underwater Flight Vehicle (수중 비행체를 위한 퍼지 논리 기반의 부상 제어기)

  • Kim, Hyun-Sik
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2008.04a
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    • pp.161-162
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    • 2008
  • 침수의 경우에, 수중 비행체(UFV : Underwater Flight Vehicle)는 발라스트 탱크들의 내부를 고압 공기로 비워 내어 부상을 수행한다. 그런데, 기존의 blow-off 방법은 가벼운 침수일지라도 부상 후에는 몸체를 수면에 드러나게 한다. 이는 불필요한 임무 실패 또는 몸체 노출의 결과를 가져온다. 따라서, 부상 제어에 의해 침수 및 부상에 의한 오버슈트 심도를 감소시킴과 동시에 몸체를 수면 근처에 유지시키는 것이 필요하다. 이 문제를 해결하기 위해서 전문가 지식 및 FBFE(Fuzzy Basis Function Expansion)를 사용하는 부상 제어 알고리즘이 제안되었다. 제안된 알고리즘의 성능 검증을 위한 시뮬레이션 결과는 제안된 알고리즘이 UFV 부상 제어 시스템에 존재하는 문제점들을 효과적으로 해결하고 있음을 보여준다.

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Adaptive Blowing Control Algorithm for Autonomous Control of Underwater Flight Vehicle (수중 비행체의 자율제어를 위한 적응 부상 제어 알고리즘)

  • Kim, Hyun-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.4
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    • pp.482-487
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    • 2008
  • In case of flooding, the underwater flight vehicle (UFV) executes the blowing by blowing ballast tanks off using high pressure air (HPA), while it also uses control planes and a propulsion unit to reduce the overshoot depth caused by a flooding and blowing sequence. However, the conventional whole HPA blow-off method lets the body on the surface after blowing despite slight flooding. This results in the unnecessary mission failure or body exposure. Therefore, it is necessary to keep the body at the near surface by the blowing control while reducing the overshoot depth. To solve this problem, an adaptive blowing control algorithm, which is based on the decomposition method expanding the expert knowledge in depth control and the adaptive method using fuzzy basis function expansion (FBFE), is proposed. To verify the performance of the proposed algorithm, the blowing control of UFV is performed. Simulation results show that the proposed algorithm effectively solves the problems in the UFV blowing control system online.