Modeling and Simulation of Reaction and Fractionation Systems for the Industrial Residue Hydrotreating Process

Figure 15. Prediction of the temperature profile of the fractionator. 

Figure 13.

Predictions of temperature rise of the HT reactor for the residue hydrorefining process.

Processes 2020, 8, x FOR PEER REVIEW 

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Figure 13. Predictions of temperature rise of the HT reactor for the residue hydrorefining process. 

 

Figure 14. Predictions of 

2,makeup

H

  flow rate for the residue hydrorefining process. STD m

3

. h

−1

 is the 

volume flow per hour of fluid at 15.556 °C and 101.325 kpa. 

To assess the performance of the simulated fractionator, temperature profile, product yields, 

distillation curves, and density of liquid products are important indicators for model evaluation. 

Temperature distribution is meaningful for evaluating energy consumption, which is also important 

to energy optimization and product cutting for engineers. Figure 15 shows the prediction of the 

temperature distribution of the column. The Pearson coefficients of the temperature distribution are 

0.977, 0.985, 0.987, 0.983, 0.985 for dataset 1 to 5, respectively. Apparently, the model demonstrates 

good capability in predicting column temperature distribution.