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Data-Driven Prediction of LNG Tank Thermal Stratification and Boil-Off Gas Generation Using Ensemble Machine Learning with Uncertainty Quantification: An Experimental and Mechanistic Study

2026-06-02

Abstract excerpt

<title>Abstract</title> <p> Liquefied natural gas (LNG) storage tanks are susceptible to thermal stratification, a phenomenon that triggers rollover events and uncontrolled boil-off gas (BOG) generation, posing significant safety and economic risks. Traditional computational fluid dynamics (CFD) approaches offer mechanistic insight but require prohibitive computational resources and precise boundary conditions t...

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Literature Corpus work
3668c827-b2c5-53bc-802a-1bd2944a3ec7
DOI
10.21203/rs.3.rs-9750552/v1
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Data-Driven Prediction of LNG Tank Thermal Stratification and Boil-Off Gas Generation Using Ensemble Machine Learning with Uncertainty Quantification: An Experimental and Mechanistic StudyDOI 10.21203/rs.3.rs-9750552/v1
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