Nadra, H., Hassan, A.I. and Ahmad, S. (2018) Modelling of Fouling in Heat Exchangers Using the Artificial Neural Network Approach. International Journal of Chemistry, Mathematics and Physics (IJCMP), 2, 33-52.
https://doi.org/10.22161/ijcmp.2.5.1

has been cited by the following article:

• TITLE: Mathematical Modelling of Operating Temperature Variations of Shell-and-Tube Heat Exchanger (10-E-01)

  AUTHORS: Romokere Isotuk Uzono, Ojong Elias Ojong

  KEYWORDS: Shell-and-Tube Heat Exchanger 10-E-01, Modeling, Kerosene-Crude Streams, Differential Equations

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.10 No.2, May 30, 2022

  ABSTRACT: The technique of modeling operating temperature variations of shell-and-tubeheat exchanger 10-E-01 of kerosene-crude oil streams of Port Harcourt refinery crude distillation unit is presented in this research. Appropriate first-ordermodel equations were developed applying principles of energy balance. The differential equations developed for the process streams which exchangedheat was evaluated numerically to predict the temperature variations as a functionof time. The relevant parameters associated with typical heat exchanger works were calculated using plant data of 10-E-02. The model strives to predict the final kerosene temperature from 488 to 353.6K. While the crude oil streams temperature rose from 313 to 353.6 K. The developed model enables the operator to predict the final temperature at the kerosene hydro-treatingunit and thereby prevent regular emergency shutdowns due to excessivetemperature rise.