Summary
The re-liquefaction of BOG is a necessary part of the safety and security of LNG cargo ships. And the volatility of BOG will fluctuate with the sea conditions of ship transportation, so how to deal with the fluctuation of the re-liquefaction system and improve the liquefaction capacity is a problem that cannot be ignored in the operation of the liquefaction system; In this paper, a BOG buffer tank is added to the Reverse Brayton Process. Moreover, a control strategy is proposed to optimize the liquefaction process. The proposed four possible operating conditions' efficiency,the specific energy consumption (SEC), liquefaction rate and main heat exchanger parameters were simulated and analyzed by using Aspen HYSYS software. According to the results, the specific energy consumption of the basic re-liquefaction process is 1.329 kWh/kgLNG, which is 5.7% less than that of the reference process; In the study of flow fluctuation, after adopting the control strategy, the specific energy consumption of the whole process is 1.29 kWh/kgLNG, with 15.6% efficiency and 99.5% liquefaction rate. The whole system can be maintained at a low specific energy consumption level when the feed gas volume is fluctuating. The analyses of various BOG composition and the parameters of the main heat exchanger show that the regulation of the inlet gas volume can make the primary re-liquefaction process flexible and maintain the heat exchanger in a good working condition; Even if the system is in a worse working condition, the inlet gas volume can be improved by 12.2% compared with the reference process.
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Details
- Original title: Optimization and control strategy of BOG re-liquefaction process for LNG vessels.
- Record ID : 30031973
- Languages: English
- Subject: Technology
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 153
- Publication date: 2023/09
- DOI: http://dx.doi.org/10.1016/j.ijrefrig.2023.05.021
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Indexing
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Themes:
LNG and LPG;
Gas liquefaction and separation - Keywords: LNG; Ship; Liquefaction; Optimization; Energy consumption; Modelling; Simulation; Efficiency
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