DOI: https://doi.org/10.14710/kapal.v22i2.72849

Utilizing ANP for a Comprehensive Risk Assessment and Mitigation Prioritization of Lithium Battery Energy Storage Systems (LBESS) on Commissioning Service Operation Vessels (CSOV)

*Deri Setiawan  -  OSM Thome New Shipbuilding - Singapore, Singapore
Nurhadi Siswantoro orcid scopus  -  Department of Marine Engineering, Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember, Indonesia
Trika Pitana orcid scopus  -  Department of Marine Engineering, Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember, Indonesia
Received: 1 May 2025; Revised: 23 Jun 2025; Accepted: 23 Jun 2025; Available online: 23 Jun 2025; Published: 30 Jun 2025.
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Abstract

Integrating Lithium Battery Energy Storage Systems (LBESS) into offshore Commissioning Service Operation Vessels (CSOV) poses significant safety concerns, including fire, explosion, and toxic gas release. The expanding offshore wind industry increases demand for CSOVs equipped with energy storage, making robust risk management essential. This study addresses the critical need to understand and manage LBESS hazards on CSOVs, given the absence of comprehensive international regulations and inherent lithium battery risks like thermal runaway. This study utilizes Risk Assessment data and the Analytic Network Process (ANP) to analyze these hazards and identify optimal mitigation strategies. The research systematically identified six distinct hazards, eighteen main causes, and twenty specific sub-causes through hazard identification (HAZID). A purposive sampling method selected seven qualified practitioners with at least three years of experience in BESS security and risk assessment on CSOVs, including ship construction supervision. Data was collected via a questionnaire using pairwise comparisons and the Saaty scale, processed with Super Decisions software, and combined using Geomean calculations. The ANP analysis shows safety is the top priority for LBESS implementation (63.6%), significantly exceeding environmental (16.3%) and operational (10.2%) factors. Within safety, explosion (39.0%) and fire (25.9%) are the most prevalent hazards, with thermal runaway and battery electrolyte decomposition being key contributors to LBESS failure. For mitigation, the analysis highlights Battery Physical Design and Protection (31.5%), Battery Monitoring and Control Systems (27.9%), and Operational Procedures and Training (15.4%) as crucial. Prioritizing safety is essential for LBESS deployment on CSOVs, with explosion and fire being the most severe threats, and robust engineering and operational protocols are critical mitigation strategies.

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Keywords: Risk Assessment, Lithium Battery, Energy Storage System, LIBESS, CSOV Vessel, ANP.

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Section: Research Articles
Language : EN
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  1. “European Maritime Safety Agency (EMSA), Guidance on the Safety of Battery Energy Storage Systems (BESS) on Board Ships, Lisbon, Portugal, Nov. 2023. [Online]
  2. Available: https://emsa.europa.eu/publications/inventories/download/7643/5061/23.html
  3. Y. Chen and H. Lin, “Overview of the development of offshore wind power generation in China,” Solar Energy, vol. 239, Oct. 2022. doi: https://doi.org/10.1016/j.seta.2022.102766
  4. B. Li, “Operability study of walk-to-work for floating wind turbine and service operation vessel in the time domain,” Ocean Engineering, vol. 220, Jan. 2021. doi: https://doi.org/10.1016/j.oceaneng.2020.108397
  5. R. Yin, M. Hu, J. Luo, X. Wu, Y. Yang, and Y. Xu, “Risk analysis for marine transport and power applications of lithium-ion batteries: A review,” Process Safety and Environmental Protection, vol. 181, pp. 266-293, Jan. 2024. doi: https://doi.org/10.1016/j.psep.2023.11.015
  6. DNV GL, DNVGL-RU-SHIP Part 6 Chapter 2: Propulsion, Power Generation and Auxiliary Systems, Oslo, Norway, 2015. [Online]. Available: http://www.dnvgl.com
  7. H. Helgesen, Maritime Battery Safety Joint Development Project: Technical Reference for Li-ion Battery Explosion Risk and Fire Suppression Partner Group, DNV GL, Oslo, Norway, 2019. [Online]. Available: http://www.dnvgl.com
  8. C. Zhang, H. Guo, Z. Cheng, X. Liang, J. Yuan, and Z. Li, “Fire accident risk analysis of lithium battery energy storage systems during maritime transportation,” Sustainability, vol. 15, no. 19, Oct. 2023, Art. no. 14198. doi: https://doi.org/10.3390/su151914198
  9. E. H. Y. Moa and Y. I. Go, “Large-scale energy storage system: safety and risk assessment,” Sustainable Energy Research, vol. 10, no. 1, Sep. 2023. doi: https://doi.org/10.1186/s40807-023-00082-z
  10. M. Ghiji, L. Luo, R. Rao, and J. Wang, “A review of lithium-ion battery fire suppression,” Energies, vol. 13, no. 19, Oct. 2020, Art. no. 5117. doi: https://doi.org/10.3390/en13195117
  11. Asian Development Bank, Handbook on Battery Energy Storage System, Manila, Philippines, Dec. 2018. doi: https://doi.org/10.22617/TCS189791-2
  12. J. A. Jeevarajan, T. Joshi, M. Parhizi, T. Rauhala, and D. Juarez-Robles, “Battery hazards for large energy storage systems,” ACS Energy Letters, vol. 7, no. 8, pp. 2725-2733, Jul. 2022. doi: https://doi.org/10.1021/acsenergylett.2c01400
  13. O. Grönlund, M. Quant, M. Rasmussen, O. Willstrand, and J. Hynynen, Guidelines for the Fire Protection of Battery Energy Storage Systems for Safe Transport, Division Safety and Transport, Borås, Sweden, 2020
  14. P. J. Bugryniec, E. G. Resendiz, S. M. Nwophoke, S. Khanna, C. James, and S. F. Brown, “Review of gas emissions from lithium-ion battery thermal runaway failure — Considering toxic and flammable compounds,” Journal of Energy Storage, vol. 95, May 2024, Art. no. 111288. doi: https://doi.org/10.1016/j.est.2024.111288
  15. M. Kaliaperumal, S. Paramasivam, N. Shanmugasundaram, and K. Kalimuthu, “Cause and mitigation of lithium-ion battery failure — a review,” Materials, vol. 14, no. 19, Oct. 2021, Art. no. 5676. doi: https://doi.org/10.3390/ma14195676
  16. M. Zhi, L. Chen, Y. Zhao, and K. Wang, “Review of prevention and mitigation technologies for thermal runaway in lithium-ion batteries,” Aerospace Traffic and Safety, vol. 1, no. 1, pp. 55-72, Mar. 2024. doi: https://doi.org/10.1016/j.aets.2024.06.002
  17. X. Hu, Q. Liu, X. Fang, Y. Liu, and L. Zhang, “Advancements in the safety of lithium-ion battery: The trigger, consequence and mitigation method of thermal runaway,” Chemical Engineering Journal, vol. 470, Feb. 2024, Art. no. 148450. doi: https://doi.org/10.1016/j.cej.2023.148450
  18. J. E., H. Xiao, S. Tian, and Y. Huang, “A comprehensive review on thermal runaway model of a lithium-ion battery: Mechanism, thermal, mechanical, propagation, gas venting and combustion,” Renewable Energy, vol. 223, Aug. 2024, Art. no. 120762. doi: https://doi.org/10.1016/j.renene.2024.120762
  19. W. He, H. Zhou, Z. Tang, and Y. Liu, “Lessons learned from the commercial exploitation of marine battery energy storage systems,” Journal of Energy Storage, vol. 87, May 2024, Art. no. 111440. doi: https://doi.org/10.1016/j.est.2024.111440
  20. T. Zhu, S. Haugen, and Y. Liu, “Risk information in decision-making: definitions, requirements and various functions,” Journal of Loss Prevention in the Process Industries, vol. 72, Sep. 2021, Art. no. 104572. doi: https://doi.org/10.1016/j.jlp.2021.104572
  21. DNV GL, Qualification of Large Battery Systems: DNV GL Handbook for Maritime, Oslo, Norway, 2016. [Online]. Available: http://www.dnvgl.com
  22. A. Aksöz, B. Asal, S. Golestan, M. Gençtürk, S. Oyucu, and E. Biçer, “Electrification in maritime vessels: reviewing storage solutions and long-term energy management,” Applied Sciences, vol. 15, no. 10, p. 5259, May 2025. doi: https://doi.org/10.3390/app15105259
  23. H. Taherdoost and M. Madanchian, “Analytic network process (ANP) method: A comprehensive review of applications, advantages, and limitations,” Journal of Data Science and Intelligent Systems, vol. 1, no. 1, pp. 12-18, May 2023. doi: https://doi.org/10.47852/bonviewjdsis3202885
  24. T. L. Saaty and M. Hall, Fundamentals of the Analytic Network Process, Pittsburgh, PA, USA: RWS Publications, 2001
  25. M. R. Asadabadi, E. Chang, and M. Saberi, “Are MCDM methods useful? A critical review of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP),” Cogent Engineering, vol. 6, no. 1, Jan. 2019, Art. no. 1623153. doi: https://doi.org/10.1080/23311916.2019.1623153
  26. J. J. Wang, Y. Y. Jing, C. F. Zhang, and J. H. Zhao, “Review on multi-criteria decision analysis aid in sustainable energy decision-making,” Renewable and Sustainable Energy Reviews, vol. 13, no. 9, pp. 2263-2278, Dec. 2009. doi: https://doi.org/10.1016/j.rser.2009.06.021
  27. S. Kheybari, F. M. Rezaie, and H. Farazmand, “Analytic network process: An overview of applications,” Applied Mathematics and Computation, vol. 367, Feb. 2020, Art. no. 124780. doi: https://doi.org/10.1016/j.amc.2019.124780
  28. I. Etikan, “Comparison of convenience sampling and purposive sampling,” American Journal of Theoretical and Applied Statistics, vol. 5, no. 1, pp. 1-4, 2016. doi: https://doi.org/10.11648/j.ajtas.20160501.11

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