王书良. 储罐温度分布对计量精度的影响[J]. 油气储运, 2017, 36(11): 1337-1341. DOI: 10.6047/j.issn.1000-8241.2017.11.018
引用本文: 王书良. 储罐温度分布对计量精度的影响[J]. 油气储运, 2017, 36(11): 1337-1341. DOI: 10.6047/j.issn.1000-8241.2017.11.018
WANG Shuliang. Influence of tank temperature distribution on metering accuracy[J]. Oil & Gas Storage and Transportation, 2017, 36(11): 1337-1341. DOI: 10.6047/j.issn.1000-8241.2017.11.018
Citation: WANG Shuliang. Influence of tank temperature distribution on metering accuracy[J]. Oil & Gas Storage and Transportation, 2017, 36(11): 1337-1341. DOI: 10.6047/j.issn.1000-8241.2017.11.018

储罐温度分布对计量精度的影响

Influence of tank temperature distribution on metering accuracy

  • 摘要: 针对储罐温度分布影响计量精度而导致计量误差的问题,基于对罐内油品与外界环境传热过程的分析,建立了考虑环境温度、油品物性、罐内油品自然对流及太阳辐射等因素影响的储罐温降模型。以某储备库1#浮顶罐为例,采用Fluent软件对储罐温降模型进行模拟,并将计算温度与实测温度进行对比。进而总结得出油孔纵向平均油温与罐内总体平均油温温差变化的规律:在相同外界条件下,液位越低,温降速率越大;液位越高,存储时间越长,量油孔处的平均油温偏离总体平均油温越大。通过不同工况下的实例计算,量化分析了上述误差的大概范围和变化趋势,对油库的计量盘点具有一定的参考价值。

     

    Abstract: Tank temperature distribution has influence on metering accuracy and consequently leads to metering errors. To solve this problem, the heat transfer process between the oil products inside the tank and the ambient environment was analyzed in this paper, and then a tank temperature drop model was established in consideration of numerous influencing factors, such as environment temperature, physical properties of oil products, natural convection of oil products inside the tank and solar radiation. Taking the 1# floating roof tank of one reserve as an example, the tank temperature drop model was simulated by Fluent software, and the calculated temperature was compared with the measured temperature. The variation laws of the difference between the average vertical oil temperature at the gauging hatch and the overall average oil temperature inside the tank were figured out. Under the same ambient conditions, the lower the liquid level is, the greater the temperature drop rate is. The higher the liquid level is and the longer the storage lasts, the larger the difference between the average oil temperature at the gauging hatch and the overall average oil temperature is. The approximate range and variation trend of the above mentioned errors were displayed quantitatively by performing case calculation in different working conditions. It can be used as the reference for the metering and inventory of oil depots.

     

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