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Design and optimization of an onboard boil-off gas re-liquefaction process under different weather-related scenarios with machine learning predictions

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  • Syauqi, Ahmad
  • Uwitonze, Hosanna
  • Chaniago, Yus Donald
  • Lim, Hankwon

Abstract

In this study, a novel boil-off-gas handling process was proposed to optimize refrigerant mix and flow rate considering different boil-off gas rates under different weather conditions. The proposed design utilizes a nitrogen expander and mixed refrigerant cycle to generate subcooled liquified natural gas to cool the tank, preventing boil-off gas generation. The optimized design in terms of exergy destruction minimization is assessed in a multiple steady-state simulation based on seasonal boil-off gas and heat ingress rates which are predicted by a machine learning algorithm. Furthermore, an economic analysis of the proposed reliquefaction processes was conducted. The result shows that the conventional process has 46% and 8% lower exergy destruction compared to the proposed one for the nitrogen expander and mixed refrigerant cycle respectively. However, the proposed process outperforms the conventional process in terms of investment costs. The proposed process has 36% and 27% lower investment costs for the nitrogen and mixed refrigerant cycle compared to the conventional one. This leads to higher profit for the novel process and performs better in the face of uncertainty of liquified natural gas price.

Suggested Citation

  • Syauqi, Ahmad & Uwitonze, Hosanna & Chaniago, Yus Donald & Lim, Hankwon, 2024. "Design and optimization of an onboard boil-off gas re-liquefaction process under different weather-related scenarios with machine learning predictions," Energy, Elsevier, vol. 293(C).
    • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004468
    DOI: 10.1016/j.energy.2024.130674
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    1. Subhadip Ghosh & Shahidul Islam, 2023. "A Game-Theoretic Analysis of Canada’s Entry for LNG Exports in the Asia-Pacific Market," Commodities, MDPI, vol. 2(2), pages 1-19, June.
    2. Yin, Liang & Ju, Yonglin, 2022. "Review on the design and optimization of BOG re-liquefaction process in LNG ship," Energy, Elsevier, vol. 244(PB).
    3. Choe, Changgwon & Haider, Junaid & Lim, Hankwon, 2023. "Carbon capture and liquefaction from methane steam reforming unit: 4E’s analysis (Energy, Exergy, Economic, and Environmental)," Applied Energy, Elsevier, vol. 332(C).
    4. Uwitonze, Hosanna & Chaniago, Yus Donald & Lim, Hankwon, 2022. "Novel integrated energy-efficient dual-effect single mixed refrigerant and NGLs recovery process for small-scale natural gas processing plant," Energy, Elsevier, vol. 254(PA).
    5. Ali Rehman & Muhammad Abdul Qyyum & Ashfaq Ahmad & Saad Nawaz & Moonyong Lee & Li Wang, 2020. "Performance Enhancement of Nitrogen Dual Expander and Single Mixed Refrigerant LNG Processes Using Jaya Optimization Approach," Energies, MDPI, vol. 13(12), pages 1-27, June.
    6. Daniela Durand & Jose Aguilar & Maria D. R-Moreno, 2022. "An Analysis of the Energy Consumption Forecasting Problem in Smart Buildings Using LSTM," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    7. Kwak, Dong-Hun & Heo, Jeong-Ho & Park, Seung-Ha & Seo, Seok-Jang & Kim, Jin-Kuk, 2018. "Energy-efficient design and optimization of boil-off gas (BOG) re-liquefaction process for liquefied natural gas (LNG)-fuelled ship," Energy, Elsevier, vol. 148(C), pages 915-929.
    8. Vanem, Erik & Antão, Pedro & Østvik, Ivan & de Comas, Francisco Del Castillo, 2008. "Analysing the risk of LNG carrier operations," Reliability Engineering and System Safety, Elsevier, vol. 93(9), pages 1328-1344.
    9. Mohd Shariq Khan & Muhammad Abdul Qyyum & Wahid Ali & Aref Wazwaz & Khursheed B. Ansari & Moonyong Lee, 2020. "Energy Saving through Efficient BOG Prediction and Impact of Static Boil-off-Rate in Full Containment-Type LNG Storage Tank," Energies, MDPI, vol. 13(21), pages 1-14, October.
    10. Krishna Kumar Gupta & Kanak Kalita & Ranjan Kumar Ghadai & Manickam Ramachandran & Xiao-Zhi Gao, 2021. "Machine Learning-Based Predictive Modelling of Biodiesel Production—A Comparative Perspective," Energies, MDPI, vol. 14(4), pages 1-16, February.
    11. Victor Oyaro Gekara & Prem Chhetri, 2013. "Upstream transport corridor inefficiencies and the implications for port performance: a case analysis of Mombasa Port and the Northern Corridor," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(6), pages 559-573, November.
    12. Kwang Pil, Chang & Rausand, Marvin & Vatn, Jørn, 2008. "Reliability assessment of reliquefaction systems on LNG carriers," Reliability Engineering and System Safety, Elsevier, vol. 93(9), pages 1345-1353.
    13. Shin, Younggy & Lee, Yoon Pyo, 2009. "Design of a boil-off natural gas reliquefaction control system for LNG carriers," Applied Energy, Elsevier, vol. 86(1), pages 37-44, January.
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