Determination of deposit thickness in natural gas cooler based on the measurements of gas cooling degree

Čarnogurská, Mária; Příhoda, Miroslav; Molínek, Jiří

doi:10.1007/s12206-011-0702-7

Cited by 4 publications

(7 citation statements)

References 4 publications

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“…The balance method is based on a comparison of the supplied and removed heat output using Equation (1). The method applicable to a crossflow cooler (Figure 2a) is described in detail in paper [1], while the results related to a double crossflow cooler (Figure 2b) are presented in this article.…”

Section: Balance Methodsmentioning

confidence: 99%

“…Figure 1 shows the real condition of a natural gas cooler fouled with impurities of an unknown composition. The authors of paper [1] identified the heat-transfer coefficient of the fouling layer in an experiment. Expressing a cooling capacity is also difficult due to the fact that the temperatures of the cooled medium and of the cooling medium change on the heat-transfer surface along the entire tube length [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Mathematical Models for Identifying the Thickness of the Fouling Layer in Natural Gas Coolers

Čarnogurská,

Příhoda,

Andrejiová

et al. 2024

Applied Sciences

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This article presents an analysis of three different approaches to the identification of the thickness of the fouling layer inside the pipes of natural gas (NG) coolers. At present, there is no existing simple analytical procedure for the identification of the fouling layer thickness. The authors of this article describe in detail the balance method, which required the use of a large number of physical parameters, changes in their sizes depending on the output temperature of the gas, the temperature of the cooling air, the air quantity, as well as the physical properties of both media. The computational model was robust, and its disadvantage was the iterative computation. The second analysed method was a dimensional analysis. It was applied using the Buckingham’s theorem to express the individual similarity criteria. In this method, 10 simplexes and two complexes were created. The fouling layer thickness, expressed using a derived criterial equation, exhibited real results. The third analysed method was based on analysing selected physical parameters with the use of a multiple regression analysis in MinitabX 18 software. The analysis showed that the fouling layer thickness depended on fewer parameters than the number of parameters assumed in the dimensional analysis or the balance method. The standard deviation that was identified in the multiple linear regression for a double crossflow cooler was 0.0667 and the value of reliability (the coefficient of determination of the multiple linear regression) R2 was 0.9985.

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Section: Balance Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the Mathematical Models for Identifying the Thickness of the Fouling Layer in Natural Gas Coolers

Čarnogurská,

Příhoda,

Andrejiová

et al. 2024

Applied Sciences

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“…The principle thereof is based on the elementary relation applicable to the heat flux density q at unidirectional steady heat transfer in a planar board (layer) [4][5][6]…”

Section: Description Of the Methodology For Measuring The Thermal Conmentioning

confidence: 99%

Measurement of Thermal Conductivity of Sludge and Liquid Materials

et al. 2018

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Abstract. The present article describes two various methods of determination of thermal conductivity of semi-solid and liquid materials. One is based on experimental measurements of heat flux through a layer of semi-solid material while using the Heat Flow Plates, and the second one uses Peltier Elements to determine the heat flux density. The first method was used to determine thermal conductivity of sludge taken from natural gas coolers. Its value, identified by measurements, was 0.746 W·m -1 ·K -1 . The second method was applied to determine thermal conductivity for sludge taken from natural gas filtration units. Values thereof were ranging from 0.608 W·m -1 ·K -1 (at the mean sludge temperature of 22 °C) to 0.652 W·m -1 ·K -1 (at the sludge temperature of 43 °C).

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“…The small neighbour's drops are collecting to the bigger drops until they are tearing down from the surface by the gravity or other forces. As drops are flow down the wall, they leaving clean surface where condensation can proceed [9].…”

Section: Condensationmentioning

confidence: 99%

Visualization of various working fluids flow regimes in gravity heat pipe

Němec

2017

EPJ Web Conf.

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Abstract. Heat pipe is device working with phase changes of working fluid inside hermetically closed pipe at specific pressure. The phase changes of working fluid from fluid to vapour and vice versa help heat pipe to transport high heat flux. Amount of heat flux transferred by heat pipe, of course depends on kind of working fluid. The article deal about visualization of various working fluids flow regimes in glass gravity heat pipe by high speed camera and processes casing inside during heat pipe operation. Experiment working fluid flow visualization is performed with two glass heat pipes with different inner diameter (13 mm and 22 mm) filled with water, ethanol and fluorinert FC 72. The working fluid flow visualization explains the phenomena as a working fluid boiling, nucleation of bubbles, and vapour condensation on the wall, vapour and condensate flow interaction, flow down condensate film thickness on the wall occurred during the heat pipe operation.

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Determination of deposit thickness in natural gas cooler based on the measurements of gas cooling degree

Cited by 4 publications

References 4 publications

Analysis of the Mathematical Models for Identifying the Thickness of the Fouling Layer in Natural Gas Coolers

Analysis of the Mathematical Models for Identifying the Thickness of the Fouling Layer in Natural Gas Coolers

Measurement of Thermal Conductivity of Sludge and Liquid Materials

Visualization of various working fluids flow regimes in gravity heat pipe

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