A Novel Integrated Method for the Risk Assessment of Ship-to-Ship LNG Bunkering Operations
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10, Issue 1
Abstract
In recent years, liquefied natural gas (LNG) gradually has become an alternative fuel for ships. For targeted safety management of ship-to-ship LNG bunkering, this study developed a new method to identify, quantify, and rank the risk influential factors (RIFs) for fuel spills during the process of ship-to-ship LNG bunkering. Firstly, starting from the process of ship-to-ship LNG bunkering, the fuel leakage RIFs of ship-to-ship LNG bunkering were identified and summarized. Secondly, combining failure mode and effect analysis (FMEA), Bayesian networks (BN) based on the fuzzy belief rule (FBRBN), and evidential reasoning (ER), a risk assessment model is proposed to quantify the risk level of the RIFs. Finally, using the case study of Zhoushan LNG bunkering station, China, the feasibility and practicability of the established risk evaluation index system and research methods were verified. The results of this study show that improper handling by personnel is the most important RIF affecting the safety of ship-to-ship LNG bunkering. Based on the results, targeted preventive measures are proposed to enhance the safety of ship-to-ship LNG bunkering.
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Data Availability Statement
The following data supporting the results of this study are available from the corresponding author upon reasonable request: (1) the fuzzy belief rule base for ship-to-ship LNG bunkering fuel leakage risk evaluation; and (2) the weighting evaluation and subjective probability evaluation of the processed questionnaire regarding risk factors from the ship-to-ship LNG bunkering fuel spills.
References
Asuquo, M. P., J. Wang, G. Phylip-Jones, and R. Riahi. 2021. “Condition monitoring of marine and offshore machinery using evidential reasoning techniques.” J. Mar. Eng. Technol. 20 (2): 93–124. https://doi.org/10.1080/20464177.2019.1573457.
Cao, Y., X. Wang, Y. Wang, S. Fan, H. Wang, Z. Yang, Z. Liu, J. Wang, and R. Shi. 2023a. “Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network.” Ocean Eng. 269 (Jun): 113563. https://doi.org/10.1016/j.oceaneng.2022.113563.
Cao, Y., X. Wang, Z. Yang, J. Wang, H. Wang, and Z. Liu. 2023b. “Research in marine accidents: A bibliometric analysis, systematic review and future directions.” Ocean Eng. 284 (Sep): 115048. https://doi.org/10.1016/j.oceaneng.2023.115048.
Chang, C.-H., C. Kontovas, Q. Yu, and Z. Yang. 2021. “Risk assessment of the operations of maritime autonomous surface ships.” Reliab. Eng. Syst. Saf. 207 (Aug): 107324. https://doi.org/10.1016/j.ress.2020.107324.
Chen, Z. 2022. “Research on risk modeling and evaluation of ship to ship LNG bunkering.” Master’s thesis, Navigation College, Dalian Maritime Univ.
Cui, R., Z. Liu, X. Wang, M. Fuchi, T. Konishi, Y. Zhou, J. Tao, Z. Yang, S. Fan, and Z. Zhao. 2023. “The evaluation of seafarer fatigue as a performance shaping factor in the maritime HRA method.” J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 9 (4): 04023034. https://doi.org/10.1061/AJRUA6.RUENG-1092.
Fan, S., Z. Yang, J. Wang, and J. Marsland. 2022. “Shipping accident analysis in restricted waters: Lesson from the Suez Canal blockage in 2021.” Ocean Eng. 266 (Dec): 113119. https://doi.org/10.1016/j.oceaneng.2022.113119.
Fang, S., Z. Liu, X. Yang, X. Wang, J. Wang, and Z. Yang. 2023. “A quantitative study of the factors influencing human evacuation from ships.” Ocean Eng. 285 (Oct): 115156. https://doi.org/10.1016/j.oceaneng.2023.115156.
Gao, F. 2023. “Risk analysis and assessment of human factors errors during LNG bunkering on LNG bunkering ships.” Mar. Equip./Mater. Mark. 31 (4): 97–100.
Gu, C. 2020. “Structure features and development prospect of LNG carrier.” Shanghai Energy Conserv. 12 (Aug): 1457–1462.
Ha, S.-M., W.-J. Lee, B. Jeong, J.-H. Choi, and J. Kang. 2022. “Regulatory gaps between LNG carriers and LNG fuelled ships.” J. Mar. Eng. Technol. 21 (1): 23–37. https://doi.org/10.1080/20464177.2019.1572060.
Lehto, M., and G. Salvendy. 1991. “Models of accident causation and their application: Review and reappraisal.” J. Eng. Tech. Manage. 8 (2): 173–205. https://doi.org/10.1016/0923-4748(91)90028-P.
Liu, P., and Y. Li. 2021. “An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment.” Reliab. Eng. Syst. Saf. 215 (Nov): 107826. https://doi.org/10.1016/j.ress.2021.107826.
Loughney, S., J. Wang, M. Bashir, M. Armin, and Y. Yang. 2021. “Development and application of a multiple-attribute decision-analysis methodology for site selection of floating offshore wind farms on the UK continental shelf.” Sustainable Energy Technol. Assess. 47 (Jun): 101440. https://doi.org/10.1016/j.seta.2021.101440.
Lyu, B., H. Xie, and Z. Chen. 2022. “Research on leakage risk of LNG overwater bunkering based on fault tree analysis.” Proc. SPIE 12249 (May): 406–412. https://doi.org/10.1117/12.2637093.
Ruponen, P., J. Montewka, M. Tompuri, T. Manderbacka, and S. Hirdaris. 2022. “A framework for onboard assessment and monitoring of flooding risk due to open watertight doors for passenger ships.” Reliab. Eng. Syst. Saf. 226 (Aug): 108666. https://doi.org/10.1016/j.ress.2022.108666.
Shafiee, M., and I. Animah. 2022. “An integrated FMEA and MCDA based risk management approach to support life extension of subsea facilities in high-pressure–high-temperature (HPHT) conditions.” J. Mar. Eng. Technol. 21 (4): 189–204. https://doi.org/10.1080/20464177.2020.1827486.
Sharma, N. R., D. Dimitrios, A. I. Olcer, and N. Nikitakos. 2022. “LNG a clean fuel–the underlying potential to improve thermal efficiency.” J. Mar. Eng. Technol. 21 (2): 111–124. https://doi.org/10.1080/20464177.2020.1827491.
Shi, G., H. Zhang, and H. Fan. 2013. “Study on the fuel bunkering pattern of natural gas-fuelled powered ships.” Ship Ocean Eng. 42 (6): 57–60.
Tam, J. H. 2022. “Overview of performing shore-to-ship and ship-to-ship compatibility studies for LNG bunker vessels.” J. Mar. Eng. Technol. 21 (5): 257–270. https://doi.org/10.1080/20464177.2020.1827489.
von Bertalanffy, L. 1950. “An outline of general system theory.” Br. J. Philos. Sci. 1 (2): 134–165. https://doi.org/10.1093/bjps/I.2.134.
Wan, C., X. Yan, D. Zhang, Z. Qu, and Z. Yang. 2019. “An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks.” Transp. Res. Part E Logist. Transp. Rev. 125 (Aug): 222–240. https://doi.org/10.1016/j.tre.2019.03.011.
Wan, C., D. Zhang, X. Yan, and Z. Yang. 2018. “A novel model for the quantitative evaluation of green port development–A case study of major ports in China.” Transp. Res. Part D Transp. Environ. 61 (6): 431–443. https://doi.org/10.1016/j.trd.2017.06.021.
Wang, X., G. Xia, J. Zhao, J. Wang, Z. Yang, S. Loughney, S. Fang, S. Zhang, Y. Xing, and Z. Liu. 2023. “A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation.” Reliab. Eng. Syst. Saf. 230 (Feb): 108887. https://doi.org/10.1016/j.ress.2022.108887.
Xia, G., X. Wang, Y. Feng, Y. Cao, Z. Dai, H. Wang, and Z. Liu. 2023. “Navigational risk of inland water transportation: A case study in the Songhua River, China.” J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 9 (4): 04023042. https://doi.org/10.1061/AJRUA6.RUENG-1158.
Yan, M. 2018. “Risk identification of LNG bunker and risk analysis of filling operation.” Master’s thesis, School of Naval Architecture and Ocean Engineering, Jiangsu Univ. of Science and Technology.
Yang, Z., S. Bonsall, and J. Wang. 2008. “Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA.” IEEE Trans. Reliab. 57 (3): 517–528. https://doi.org/10.1109/TR.2008.928208.
Yang, Z., A. K. Y. Ng, P. T.-W. Woo, L. T. Wang, Z. Qu, V. Sanchez Rodrigues, S. Pettit, I. Harris, D. Zhang, and Y.-Y. Lau. 2018. “Risk and cost evaluation of port adaptation measures to climate change impacts.” Transp. Res. Part D Transp. Environ. 61 (Apr): 444–458. https://doi.org/10.1016/j.trd.2017.03.004.
Yang, Z., and J. Wang. 2015. “Use of fuzzy risk assessment in FMEA of offshore engineering systems.” Ocean Eng. 95 (Feb): 195–204. https://doi.org/10.1016/j.oceaneng.2014.11.037.
Yang, Z. L., J. Wang, S. Bonsall, and Q. G. Fang. 2009. “Use of fuzzy evidential reasoning in maritime security assessment.” Risk Anal. 29 (1): 95–120. https://doi.org/10.1111/j.1539-6924.2008.01158.x.
Yu, Q., K. Liu, C.-H. Chang, and Z. Yang. 2020. “Realising advanced risk assessment of vessel traffic flows near offshore wind farms.” Reliab. Eng. Syst. Saf. 203 (Nov): 107086. https://doi.org/10.1016/j.ress.2020.107086.
Yu, Q., K. Liu, Z. Yang, H. Wang, and Z. Yang. 2021a. “Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning.” Reliab. Eng. Syst. Saf. 210 (Jun): 107474. https://doi.org/10.1016/j.ress.2021.107474.
Yu, Q., Â. P. Teixeira, K. Liu, H. Rong, and C. Guedes Soares. 2021b. “An integrated dynamic ship risk model based on Bayesian networks and evidential reasoning.” Reliab. Eng. Syst. Saf. 216 (Aug): 107993. https://doi.org/10.1016/j.ress.2021.107993.
Yu, T., and X. Dai. 2007. “Fault tree analysis of fire & blast accidents caused by LNG tanks.” China Saf. Sci. J. 8 (Aug): 110–114.
Zha, Z. 2019. “Risk assessment of LNG bunker vessel operation.” Master’s thesis, School of Naval Architecture and Ocean Engineering, Dalian Univ. of Technology.
Zhang, H., F. Wang, and M. Bi. 2010. “Analysis of the consequences of a spreading fire from a leaking LNG storage tank.” Chem. Eng. Equip. 83 (2): 185–187.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10 • Issue 1 • March 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Jun 8, 2023
Accepted: Sep 18, 2023
Published online: Nov 16, 2023
Published in print: Mar 1, 2024
Discussion open until: Apr 16, 2024
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