Propylene yield from naphtha pyrolysis cracking using surface response analysis

Document Type : Original research

Authors

1 School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia

2 Manufacturing Division, Pengerang Refining Company Sdn Bhd, PICMO B2, Pengerang Integrated Complex, 81600 Johor, Malaysia

3 Group Technical Solutions, Petroliam Nasional Berhad (PETRONAS), The Intermark Tower, 55000 Kuala Lumpur, Malaysia

Abstract

The study was conducted in the actual world-scale olefin plant with a focus on measuring the impact of identified controlled variables at the steam cracker furnace towards the propylene yield. Surface response analysis was conducted in the Minitab software version 20 using the historical data after the clearance of both the outliers and residuals to ensure the analysis was conducted as normal data. Surface response analysis is a robust mathematical and statistical approach that is having a good potential to be systematically utilized in the actual large-scale olefin plant as an alternative to the expensive olefin simulation software for process monitoring. The analysis was conducted to forecast the maximum propylene yield in the studied plant with careful consideration to select only significant variables, represented by a variance inflation factor (VIF) <10 and p-value <0.05 in the analysis of variance (ANOVA) table. The final model successfully concluded that propylene yield in the studied plant was contributed by the factors of 0.00496, 0.00204, and -3.96 of hearth burner flow, dilution steam flow, and naphtha feed flow respectively. The response optimizer also suggested that the propylene yield from naphtha pyrolysis cracking in the studied plant could be maximized at 11.47% with the control setting at 10,004.36 kg/hr of hearth burner flow, 40,960 kg/hr of dilution steam flow, and 63.50 t/hr of naphtha feed flow.

Keywords

References

  1. Mcmurry J (2013) Fundamentals of organic chemistry. 7, Cengage Learning Inc, CA, United States
  2. Bender M  (2014)  An  overview  of  industrial processes for the production of olefins – C4 hydrocarbons. Chem Bio Eng Rev 1: 136-147
  3. Rahimi N, Karimzadeh R (2011) Catalytic cracking of hydrocarbons over modified ZSM-5 zeolites to produce light olefins: A review. Appl Catal-A 398: 1-17
  4. Sadrameli SM (2015) Thermal/catalytic cracking of hydrocarbons for the production of olefins: A state-of-the-art review I: Thermal cracking review. Fuel 140: 102-115
  5. Sadrameli SM (2016) Thermal/catalytic cracking of liquid hydrocarbons for the production of olefins: A state-of-the-art review II: Catalytic cracking review.  Fuel  173:  285-297
  6. Zhu G, Xie C, Li Z, Wang X (2017) Catalytic processes for light olefin production. In: Springer handbook of petroleum technology, Eds.: Hsu CS, Robinson PR, Springer International Publishing, Cham, Switzerland, 1063-1079
  7. Feli Z, Darvishi A, Bakhtyari A, Rahimpour MR, Raeissi S (2017) Investigation of propane addition to the feed stream of a commercial ethane thermal cracker as supplementary feedstock. J Taiwan Inst Chem Eng 81: 1-13
  8. Akporiaye D, Jensen S, Olsbye U, Rohr F, Rytter E, Rønnekleiv M, Spjelkavik AI (2001) A novel, highly efficient catalyst for propane dehydrogenation. Ind Eng Chem Res 40: 4741- 4748
  9. Darvishi A, Davand R, Khorasheh F,  Fattahi M  (2016)   Modeling-based   optimization   of a fixed-bed industrial reactor for oxidative dehydrogenation of propane. Chin J Chem Eng 24:   612-622
  10. Astruc D (2005) The metathesis reactions: From a historical perspective to recent developments. New J Chem 29: 42-56
  11. Akah A, Al-Ghrami M (2015) Maximizing propylene production via FCC technology. Appl Petrochem Res  5:  377-392
  12. Zakria MH, Mohd Nawawi MG, Abdul Rahman MR (2021) Propylene yield from olefin plant utilizing box-cox transformation in regression analysis. E3S Web Conf 287: 03013
  13. Zakria MH, Mohd Nawawi MG, Abdul Rahman MR (2021) Ethylene yield from a large scale naphtha pyrolysis cracking utilizing response surface methodology. Pertanika J Sci & Technol 29: 791-808
  14. Zakria MH, Mohd Nawawi MG, Abdul Rahman MR, Saudi MA (2021) Ethylene yield in a large- scale olefin plant utilizing regression analysis. Polyolefins J 8: 105-113
  15. Sundaram KM, Froment GF (1977) Modeling of thermal cracking kinetics—i: Thermal cracking of ethane, propane and their mixtures. Chem Eng Sci 32: 601-608
  16. Van De Vijver R, Vandewiele N, Bhoorasingh P, Slakman B, Seyedzadeh Khanshan F, Carstensen HH, Reyniers MF, Marin B, West R, Van Geem K (2015) Automatic mechanism and kinetic model generation for gas- and solution-phase processes: A perspective on best practices, recent advances, and future challenges. Int J Chem Kinet 47: 199- 231
  17. Vangaever S, Reyniers PA, Symoens SH, Ristic ND, Djokic MR, Marin GB, Van Geem KM (2020) Pyrometer-based control of a steam cracking furnace. Chem Eng Res Des 153: 380- 390
  18. Epstein LG (1978) The Le Chatelier principle in optimal control problems. J Econ Theory 19: 103-122
  19. Cai Y, Yang S, Fu S, Zhang D, Zhang Q (2017) Investigation of Portevin–Le Chatelier band strain and elastic shrinkage in Al-based alloys associated with Mg contents. J Mater Sci Technol 33: 580-586
  20. Shokrollahi Yancheshmeh MS, Seifzadeh Haghighi S, Gholipour MR, Dehghani O, Rahimpour MR, Raeissi S (2013)  Modeling of ethane pyrolysis process: A study on effects of steam and carbon dioxide on ethylene and hydrogen productions. Chem Eng J 215-216: 550-560
  21. Masoumi M, Sadrameli SM, Towfighi J, Niaei A (2006) Simulation, optimization and control of a thermal cracking furnace. Energy 31: 516-527
  22. Karimi H, Cowperthwaite E, Olayiwola B, Farag H, Mcauley K (2017) Modelling of heat transfer and pyrolysis reactions in an industrial ethylene cracking furnace. Can J Chem Eng 96: 33-48
  23. Kucora I, Paunjoric P, Tolmac J, Vulovic M, Speight J, Radovanovic L (2017) Coke formation in pyrolysis furnaces in the petrochemical industry.  Pet  Sci  Technol  35:  213-221
  24. Sun X, Shen L (2017) Research progress of coking mechanism and prevention measures for ethylene cracking furnace tubes. Corros Sci Prot Technol 29: 575-580
  25. Junfeng Z, Zhiping P, Delong C, Qirui L, Jieguang H, Jinbo Q (2019) A method for measuring tube metal temperature of ethylene cracking furnace tubes based on machine learning and neural network. IEEE Access 7: 158643-158654
  26. Wang Z, Li Z, Feng Y, Rong G (2016) Integrated short-term scheduling and production planning in an ethylene plant based on lagrangian decomposition. Can J Chem Eng 94: 1723-1739
  27. Braimah M, Anozie A, Odejobi O (2016) Utilization of response surface methodology (RSM) in the optimization of crude oil refinery process. J Multidiscip Eng Sci Technol 3: 4361- 4369
  28. Ganesh H, Ezekoye O, Edgar T, Baldea M (2018) Improving energy efficiency of an austenitization furnace by heat integration and real-time optimization. IEEE  International Conference on Automation, Quality and Testing, Robotics (AQTR),   DOI:   10.1109/AQTR.2018.8402763
  29. Sun Y, Yang G, Li K, Zhang L, Zhang L (2016) CO2 mineralization using basic oxygen furnace slag: Process optimization by response surface methodology. Environ Earth Sci 75: 1-10
  30. Sun Y, Zhang J, Zhang L (2016) NH4Cl selective leaching of basic oxygen furnace slag: Optimization study using response surface methodology. Environ Prog Sustain Energy 35: 1387-1394
  31. Haaland PD (1989) Experimental design in biotechnology. Marcel Dekker, New York, United  States
  32. Wan Omar WNN, Nordin N, Mohamed M, Saidina Amin NA (2009) A two-step biodiesel production from waste cooking oil: Optimization of pre-treatment step. J Appl Sci 9: 3098-3103
  33. Han Y, Geng Z, Wang Z, Mu P (2016) Performance analysis and optimal temperature selection of ethylene cracking furnaces: A data envelopment analysis cross-model integrated analytic hierarchy process. J Anal Appl Pyrolysis 122: 35-44
  34. Song G, Tang L (2018) Optimization  model for the transfer line exchanger system. Comput Aided  Chem  Eng  44:  1015-1020
  35. Yu K, While L, Reynolds M, Wang X, Liang JJ, Zhao L, Wang Z (2018) Multiobjective optimization of ethylene cracking furnace system using self-adaptive multiobjective teaching-learning-based optimization. Energy 148: 469- 481
  36. Zakria MH, Mohd Nawawi MG, Abdul Rahman MR (2021) Ethylene yield from pyrolysis cracking in olefin plant utilizing regression analysis. E3S Web Conf 287: 03004

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History

  • Receive Date: 04 May 2021
  • Revise Date: 30 July 2021
  • Accept Date: 04 August 2021
  • First Publish Date: 04 August 2021

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