Novel and robust machine learning approach for estimating the fouling factor in heat exchangers

Novel and robust machine learning approach for estimating the fouling factor in heat exchangers

The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling of the cleaning cycles. Since diverse factors affect this operating feature,...

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Bibliographic Details
Main Authors: Saleh Hosseini, Amith Khandakar, Muhammad E.H. Chowdhury, Mohamed Arselene Ayari, Tawsifur Rahman, Moajjem Hossain Chowdhury, Behzad Vaferi
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Heat exchange
Fouling
Gaussian Process Regression
Decision trees
Support Vector Regression
Comparison study
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472201263X

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http://www.sciencedirect.com/science/article/pii/S235248472201263X

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