4.7 Article

Improved thermal model considering hydrate formation and deposition in gas-dominated systems with free water

期刊

FUEL
卷 236, 期 -, 页码 870-879

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2018.09.066

关键词

Temperature distribution; Hydrate formation; Hydrate deposition; Thermal model; Gas-dominated systems

资金

  1. National Natural Science Foundation-Outstanding Youth Foundation [51622405]
  2. Shandong Natural Science funds for Distinguished Young Scholar [JQ201716]
  3. Changjiang Scholars Program [Q2016135]
  4. Construction Project of Taishan Scholars
  5. National Key Research and Development Plan [2016YFC0303408]
  6. Program for Changjiang Scholars and Innovative Research Team in University [IRT_14R58]

向作者/读者索取更多资源

The accurate prediction of temperature is the basis for predicting hydrate formation. Presently available methods for the calculation of temperature distributions in pipelines are based solely on the traditional heat transfer mechanism between the high-temperature fluid in the pipeline and the low-temperature surroundings. The influences of hydrate formation and deposition behaviors on the temperature variation have not been considered in the heat transfer process. Hydrate formation is exothermic, and the hydrate layer formed by the deposition of hydrates has a resistance effect to the heat transfer process. In this study, an improved thermal model for predicting the temperature distribution in gas-dominated systems is proposed. In this model, the influences of hydrate formation and deposition behaviors on the variation in temperature are considered. The model is verified by comparing with experimental data from literature. The transient variation in temperature along the pipeline can be obtained using the model. The simulation results indicate that hydrate formation and deposition have a significant influence on the variation in temperature in the pipeline, and can cause an inhibiting effect on the later hydrate formation. This work adds further insight into the heat transfer process and can serve as useful reference for the accurate prediction of temperature distributions in pipelines.

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