Optimization of Delayed Coker Unit Process Variables for Enhancement of Product Yields | ||||
| Journal of Petroleum and Mining Engineering | ||||
| Volume 25, Issue 2 - Serial Number 1, March 2024, Page 45-62 PDF (1.4 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jpme.2024.217836.1168 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Samy NABIL Mohamed  1; Mohamed Hassan2
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| 1EPROM Company, MIDOR Refinery, Ministry of Petroleum and Mineral Resources, Alexandria, 21934, Egypt | ||||
| 2Refining and Petrochemical Department, Faculty of Petroleum and Mining Engineering, Suez University, Suez 43512, Egypt | ||||
| Abstract | ||||
| This study has been constructed using Aspen HYSYS ver.12.1 and regression analysis had been performed by MICROSOFT EXCEL 2010 to obtain a new correlations to predict the product yields from delayed coker unit with a wide applicable range of operating variables which is more reliable with refineries data and a simulation molding of delayed coker unit has been accomplished to maximize the gas oil yield for a refinery data by optimization of process variables. The resulted correlations from performed regression analysis which is applicable in the following operating range Furnace outlet temperature 480 – 520 C°, Recycle ratio wt% 3-20 and Coke drum pressure 100-500 KPa. Gas Oil wt% = 0.131472 T – 0.08547 R – 0.00048 P – 7.79018 Coke wt% = 0.034775 R – 0.18382 T + 0.000142 P + 114.5429 Gases + Naphtha wt% = 0.050695 R + 0.05235 T + 0.000339 P – 6.75269 Where R=Recycle Ratio wt%, T=Furnace Outlet Temperature °C, P=Coke Drum Pressure KPa The findings from optimization by linear programming performed by MICROSFT OFFICE EXCEL 2010 indicated that gas oil yield could be increased by 4 wt% instead of coke byproduct by lowering the recycle ratio to 5% wt from fresh feed and increasing the heater outlet temperature to 510°C.Also the results showed that the change in coke drum pressure has a minimal effect in product yield. The outcome from the modified process conditions studied and a profit estimated at approximately 40 million dollar yearly. | ||||
| Keywords | ||||
| Delayed coker simulation; HYSYS; DCU optimization; Regression analysis; Economic study | ||||
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