Natural convection in a tank of oil: experimental validation of a numerical code with prescribed boundary condition

Oliveski, Rejane De Césaro; Macagnan, Mário Henrique; Copetti, Jacqueline Biancon; Petroll, Andreas de La Martinière

doi:10.1016/j.expthermflusci.2004.10.003

Cited by 37 publications

(10 citation statements)

References 16 publications

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“…To implement an axisymmetric model, the governing equations associated with each node in the mesh are expressed in cylindrical coordinates [75]; an example of this approach is given in Ref. [76].…”

Section: Cfd Modelmentioning

confidence: 99%

Improving the energy storage capability of hot water tanks through wall material specification

Armstrong¹,

Ager²,

Thompson³

et al. 2014

Energy

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Section: Cfd Modelmentioning

confidence: 99%

Improving the energy storage capability of hot water tanks through wall material specification

Armstrong¹,

Ager²,

Thompson³

et al. 2014

Energy

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“…It is well known that stratification can occur in liquids which can lead to an inhomogeneous vertical temperature profile (Shyu et al 1989, Jaluria et al 1982, Oliveski et al 2005. Stratification is a process whereby the density of a substance is varied with the densest layers at the bottom of the tank and lightest layers on top (Dave et al 2003).…”

Section: Statement Of Theory and Definitionsmentioning

confidence: 99%

Measurement of the Volumetric Temperature Distribution in Bulk Liquid Tanks

et al. 2008

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In this paper, we present findings from a study of the vertical and horizontal temperature distribution in a water tank to simulate a bulk petroleum tank. The temperatures were measured using discrete integrated circuit temperature sensors in a multiplexed sensor network. The experimental study found that there was a variation in the horizontal and vertical temperature profiles of up to 0.7 °C and 4.3 °C respectively. The horizontal temperature profile can be attributed to heating of the equatorfacing surface from solar radiation. The temperature profile presents an uncertainty in the measurement of tank content volume and can cost tank owners many thousands of dollars. IntroductionCorrect inventory control of liquid contents in bulk storage containers require accurate measurements of the liquid's volume. Liquid volume is determined by measuring the liquid height and its volume is calculated by geometric means. Accurate calculations of volume require an accurate determination of temperature. As the content's temperature fluctuates, there is a corresponding fluctuation in it's density, hence a change in volume. This uncertainty in volume can cost tanker owners many tens of thousands of dollars. A one degree Celsius change in temperature can cause a 0.1% volumetric change in petroleum. In a 10,000 m 3 tank, this represents an uncertainty of 10 m 3 or 10,000 L. At current oil prices of USD$120/barrel this equates to an uncertainty cost of USD$7,560. Over a period of time, this uncertainty cost can be quite substantial. Multiply this over multiple tanks in a typical tank farm and it is clear that there is a need for accurate temperature monitoring by bulk tank owners. This work outlines the development of a volumetric temperature sensor network to measure both the vertical and horizontal temperature gradients to study the effects of these gradients on the average tank content temperature.

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“…Thermal oils have a greater tendency of stratifying more naturally than water since the change in their densities with temperature is more pronounced as compared to water. Papers reporting on thermal stratification in other fluids other than water are rather limited [8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…al [8] presented results on natural convection in an oil storage tank operating at relatively low temperatures. The numerical modelling results were found to be in excellent agreement with the experimental test results.…”

Section: Introductionmentioning

confidence: 99%

Parametric study on the thermal gradient of a small stratified domestic oil storage tank

Mawire

2016

2016 International Conference on the Domestic Use of Energy (DUE)

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A simplified one dimensional model for a small stratified domestic oil storage tank is used for a parametric study on the thermal gradient in the storage tank. The model is validated with experimental results and reasonably good agreement between experiment and simulation is obtained. The effects of measurable and physically adjustable parameters of the average charging flow-rate, the inlet charging temperature and the heat loss factor on the thermal gradient are investigated with the model.

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Natural convection in a tank of oil: experimental validation of a numerical code with prescribed boundary condition

Cited by 37 publications

References 16 publications

Improving the energy storage capability of hot water tanks through wall material specification

Improving the energy storage capability of hot water tanks through wall material specification

Measurement of the Volumetric Temperature Distribution in Bulk Liquid Tanks

Parametric study on the thermal gradient of a small stratified domestic oil storage tank

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