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Energy Saving through Efficient BOG Prediction and Impact of Static Boil-off-Rate in Full Containment-Type LNG Storage Tank

Author

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  • Mohd Shariq Khan

    (Department of Chemical Engineering, College of Engineering, Dhofar University, Salalah 211, Oman
    These authors contributed equally.)

  • Muhammad Abdul Qyyum

    (Department of Chemical Engineering, Yeungnam University, Dae-dong 712-749, Korea
    These authors contributed equally.)

  • Wahid Ali

    (Department of Chemical Engineering Technology, College of Applied Industrial Technology (CAIT), Jazan University, Jazan 45142, Saudi Arabia)

  • Aref Wazwaz

    (Department of Chemical Engineering, College of Engineering, Dhofar University, Salalah 211, Oman)

  • Khursheed B. Ansari

    (Department of Chemical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh 202001, India)

  • Moonyong Lee

    (Department of Chemical Engineering, Yeungnam University, Dae-dong 712-749, Korea)

Abstract

Boil-off gas (BOG) from a liquefied natural gas (LNG) storage tank depends on the amount of heat leakage however, its assessment often relies on the static value of the boil-off rate (BOR) suggested by the LNG tank vendors that over/under predicts BOG generation. Thus, the impact of static BOR on BOG predictions is investigated and the results suggest that BOR is a strong function of liquid level in a tank. Total heat leakage in a tank practically remains constant, nonetheless the unequal distribution of heat in vapor and liquid gives variation in BOR. Assigning the total tank heat leak to the liquid is inappropriate since a part of heat increases vapor temperature. At the lower liquid level, BOG is under-predicted and at a higher level, it is over-predicted using static BOR. Simulation results show that BOR varies from 0.012 wt% per day for an 80% tank fill to 0.12 wt% per day at 10% tank fill.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5578-:d:434656
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    References listed on IDEAS

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    Cited by:

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    2. Golrokh Sani, Ahmad & Najafi, Hamidreza & Azimi, Seyedeh Shakiba, 2022. "Dynamic thermal modeling of the refrigerated liquified CO2 tanker in carbon capture, utilization, and storage chain: A truck transport case study," Applied Energy, Elsevier, vol. 326(C).

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