A new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysis
Aimed at biggish prediction error of the overall heat transfer coefficient caused by running parameters fluctuations, analyze the correlations between various elements including outlet oil temperature, oil physical properties, flow rate, environmental temperature, wax deposition rate as well as runn...
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2020-08-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X20301544 |
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doaj-c7df9fdca2fc4775a9b90021372ed12e2020-11-25T03:14:18ZengElsevierCase Studies in Thermal Engineering2214-157X2020-08-0120A new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysisGang Zhou0Zong-Wei Xie1Xiao-Hua Xu2Qiang Li3Corresponding author.; SEPCO Electric Power Construction Corporation, Jinan, 250014, ChinaSEPCO Electric Power Construction Corporation, Jinan, 250014, ChinaSEPCO Electric Power Construction Corporation, Jinan, 250014, ChinaSEPCO Electric Power Construction Corporation, Jinan, 250014, ChinaAimed at biggish prediction error of the overall heat transfer coefficient caused by running parameters fluctuations, analyze the correlations between various elements including outlet oil temperature, oil physical properties, flow rate, environmental temperature, wax deposition rate as well as running time after pigging and the overall heat transfer coefficient. And four dimensionless number determining the laws of overall heat transfer coefficient was put forward. Simplified model came in the use of collinearity diagnosis theory and dimensionless experimental analysis, followed by determining the optimal functional form of prediction model and physical meaning for each dimensionless numbers, then establish a new prediction model. Prediction of the overall heat transfer coefficient for several pipelines came after applying Ten-fold Cross Validation to solve the model. The results showed that, compared with back calculation, the error of overall heat transfer coefficient reduces by 3.62%, and average relative error of end-point temperature lowers by 2.88%. The model is of good steadiness and generalization, and better characterization on heat transfer mechanism of overall heat transfer coefficient, to some degree, solving the biggish prediction error led by running parameters fluctuations.http://www.sciencedirect.com/science/article/pii/S2214157X20301544Overall heat transfer coefficientParameters fluctuationsDimensionless experimental analysisCollinearity diagnosisCross validation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gang Zhou Zong-Wei Xie Xiao-Hua Xu Qiang Li |
spellingShingle |
Gang Zhou Zong-Wei Xie Xiao-Hua Xu Qiang Li A new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysis Case Studies in Thermal Engineering Overall heat transfer coefficient Parameters fluctuations Dimensionless experimental analysis Collinearity diagnosis Cross validation |
author_facet |
Gang Zhou Zong-Wei Xie Xiao-Hua Xu Qiang Li |
author_sort |
Gang Zhou |
title |
A new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysis |
title_short |
A new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysis |
title_full |
A new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysis |
title_fullStr |
A new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysis |
title_full_unstemmed |
A new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysis |
title_sort |
new model of overall heat transfer coefficient of hot wax oil pipeline based on dimensionless experimental analysis |
publisher |
Elsevier |
series |
Case Studies in Thermal Engineering |
issn |
2214-157X |
publishDate |
2020-08-01 |
description |
Aimed at biggish prediction error of the overall heat transfer coefficient caused by running parameters fluctuations, analyze the correlations between various elements including outlet oil temperature, oil physical properties, flow rate, environmental temperature, wax deposition rate as well as running time after pigging and the overall heat transfer coefficient. And four dimensionless number determining the laws of overall heat transfer coefficient was put forward. Simplified model came in the use of collinearity diagnosis theory and dimensionless experimental analysis, followed by determining the optimal functional form of prediction model and physical meaning for each dimensionless numbers, then establish a new prediction model. Prediction of the overall heat transfer coefficient for several pipelines came after applying Ten-fold Cross Validation to solve the model. The results showed that, compared with back calculation, the error of overall heat transfer coefficient reduces by 3.62%, and average relative error of end-point temperature lowers by 2.88%. The model is of good steadiness and generalization, and better characterization on heat transfer mechanism of overall heat transfer coefficient, to some degree, solving the biggish prediction error led by running parameters fluctuations. |
topic |
Overall heat transfer coefficient Parameters fluctuations Dimensionless experimental analysis Collinearity diagnosis Cross validation |
url |
http://www.sciencedirect.com/science/article/pii/S2214157X20301544 |
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