Journal of Chemical and Petroleum Engineering

Journal of Chemical and Petroleum Engineering

A Precise Mathematical Correlation to Estimate Product Yield of Delayed Coking Units

Document Type : Research Paper

Authors
Majid Ahmadlouydarab 1
Seyed Sharif Hosseini 1
Hafiz Muhammad Ali 2
Naser Asadzadeh 1
1 Faculty of Chemical and Petroleum Engineering, University of Tabriz, Tabriz, Iran
2 Mechanical Engineering Department, King Fahd University of Petroleum and Minerals
10.22059/jchpe.2022.337325.1379
Abstract
Typical models are employed to estimate the product yields of delayed coking units using complicated and multistep calculations. In current study, a new first-order mathematical model have been proposed to estimate delayed coking products yield utilizing the Volk’s model as the baseline. The modified coefficients of Volk's model for industrial level are 0.634, 0.589, 1, and 1.116 for gas, gasoline, gasoil, and coke yield prediction, respectively. In Compare to other models, the proposed model showed very close and similar trend with industrial data in yield prediction, and the average error for gas production was 0.25%. For the gasoline, almost all of the other models have overestimated efficiency. However, current model prediction was obtained close to the industrial data with average error of 14 % that is almost three times better than the Volk’s model prediction (which was the most accurate model previously). The industrial data for the gasoil was underestimated by all previous models. However, the average error of proposed model for prediction of gasoil yield was 13% while other models’ estimation error is much higher. For the coke production, this newly developed model is the most accurate one compared to other predictive models.
Keywords
Correlation
Delayed Coking
Mathematical Modeling
Product Yield Estimation
Upgrading Process
Vacuum Residue
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Journal of Chemical and Petroleum Engineering
Volume 57, Issue 1
June 2023
Pages 13-25

  • Receive Date 13 January 2022
  • Revise Date 18 November 2022
  • Accept Date 28 November 2022