Evaluation of safety exclusion zone for LNG bunkering station on LNG-fuelled ships

被引:32
|
作者
Jeong, Byongug [1 ]
Lee, Byung Suk [1 ]
Zhou, Peilin [1 ]
Ha, Seung-man [2 ]
机构
[1] Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, Glasgow, Lanark, Scotland
[2] Korean Resister Shipping, Busan, South Korea
来源
关键词
FIRE;
D O I
10.1080/20464177.2017.1295786
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
With increasing interests in using LNG as a marine fuel, safety issues for LNG bunkering have brought about global discussion on establishing a safety exclusion zone around LNG bunkering areas. However, international consensus has yet to be reached in determining an appropriate extent of the zone to ensure safe liquefied natural gas (LNG) bunkering. The purpose of this study is to identify potential risks of LNG bunkering and to present a statistical method for determining the safe exclusion zone around LNG bunkering station with the help of a purpose-built computer program, integrated quantitative risk assessment (IQRA). A probabilistic risk assessment approach was adopted in this study to determine the safety exclusion zone for two case ships: one, a 300,000 DWT very large ore carrier (VLOC) and the other a 32,000 DWT bulk carrier. The results are then compared with those obtained by a deterministic approach and the discrepancies are discussed. It was found from this study that the frequency of bunkering is one of the key factors in determining the extent of safety exclusion zone. Thus, a somewhat surprising result of 36 m radius safety exclusion zone for the 32,000 DWT bulk carrier compared to 6.4 m radius for the 300,000 DWT VLOC was obtained.lt was also found that the deterministic approach produced a much more extensive safety exclusion zone for the 300,000 DWT VLOC subjected to infrequent large-scale LNG bunkering operations compared to the probabilistic approach, while it was reasonably consistent with the probabilistic approach for the 32,000 DWT bulk carrier which uses frequent small-scale bunkering.
引用
收藏
页码:121 / 144
页数:24
相关论文
共 50 条
  • [1] Compressor for LNG-fuelled ships
    Takagi, Hitoshi
    Seyama, Katsuhiro
    Kinugawa, Hirotsugu
    Tezuka, Satoshi
    Tomochika, Takayuki
    [J]. R and D: Research and Development Kobe Steel Engineering Reports, 2020, 70 (01): : 20 - 23
  • [2] Safety evaluation on LNG bunkering: To enhance practical establishment of safety zone
    Jeong, Byongug
    Park, Sayyoon
    Ha, Seungman
    Lee, Jae-ung
    [J]. OCEAN ENGINEERING, 2020, 216
  • [3] Economic and emission assessment of LNG-fuelled ships for inland waterway transportation
    Li, De-Chang
    Yang, Hua-Long
    Xing, Yu-Wei
    [J]. OCEAN & COASTAL MANAGEMENT, 2023, 246
  • [4] Quantitative risk analysis on refuelling of LNG-fuelled ships with tank trucks
    Wu, Shunping
    Luo, Xiaofeng
    Fan, Hongjun
    Zhang, Rong
    [J]. Natural Gas Industry, 2015, 35 (12) : 111 - 116
  • [5] Determination of safety exclusion zone for LNG bunkering at fuel-supplying point
    Jeong, Byongug
    Lee, Byung Suk
    Zhou, Peilin
    Ha, Seung-man
    [J]. OCEAN ENGINEERING, 2018, 152 : 113 - 129
  • [6] Ship-based carbon capture onboard of diesel or LNG-fuelled ships
    Feenstra, Maartje
    Monteiro, Juliana
    van den Akker, Joan T.
    Abu-Zahra, Mohammad R. M.
    Gilling, Erwin
    Goetheer, Earl
    [J]. INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2019, 85 : 1 - 10
  • [7] LNG-fuelled engines for offshore vessels
    不详
    [J]. NAVAL ARCHITECT, 2002, : 26 - 26
  • [8] Economic benefits of introducing LNG-fuelled ships for imported flour in South Korea
    Lee, Hye-Jeong
    Yoo, Seung-Hoon
    Huh, Sung-Yoon
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2020, 78
  • [9] Inherent safety assessment of alternative technologies for LNG ships bunkering
    Iannaccone, Tommaso
    Landucci, Gabriele
    Scarponi, Giordano Emrys
    Bonvicini, Sarah
    Cozzani, Valerio
    [J]. OCEAN ENGINEERING, 2019, 185 : 100 - 114
  • [10] How Government Subsidy Impacts on the Supply Chain Decision for LNG-Fuelled Ships
    Li, Yan
    Yang, Jiao
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022