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Experimental optimization and reactor simulation of coal-derived naphtha reforming over Pt–Re/γ-Al2O3 using design of experiment and response surface methodology

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Abstract

In this study, the effects of different process parameters on the yield of aromatics (YA) and the yield of C5+ (YC5+) were studied through catalytic reforming experiments of coal-derived naphtha (CDN). First, the optimum process parameters of CDN catalytic reforming were weighted average inlet temperature (WAIT) for (500–520 °C), pressure (P) for (1.2–1.6 MPa), liquid hourly space velocity (LHSV) for (2.0–3.0 h−1), hydrogen–oil volume ratio (VH/VO) for (600:1). The optimum conditions were WAIT 516 °C, P 1.4 MPa, LHSV 2.3 h−1 and the predicted value of YA was 79.81%. The effect of each factor on YA was presented as follows: P > LHSV > WAIT. Compared to the catalytic reforming of petroleum-based naphtha, CDN catalytic reforming not only achieves higher YC5+ while achieving higher YA, but also obtains higher yield of benzene–toluene–xylene (YBTX, 60%). Second, the 17-lumped kinetic model of CDN semi-regenerative catalytic reforming reactor was established, and the model parameters of kinetic model were estimated and validated by Broyden–Fletcher–Goldfarb–Shanno algorithm. The results show that the simulation model is accurate, reliable and has good predictive ability. Third, the change regulation of reactants and temperature in the reforming reactor along the catalyst bed were simulated by using the 17-lumped kinetic model under specific operating conditions.

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Abbreviations

P :

Pressure (MPa)

WAIT :

Weighted average intet temperature (°C)

LHSV :

Liquid hourly space velocity (h−1)

V H/V O :

Hydrogen–oil volume ratio

CDN:

Coal-derived naphtha

RSM:

Response surface methodology

RON:

Research octane number

BFGS:

Broyden–Fletcher–Goldfarb–Shanno algorithm

BTX:

Benzene–toluene–xylene

B:

Benzene

T:

Toluene

X:

Xylene

P, O, N, A:

Alkanes, olefins, naphthenes, aromatics

Y A :

The yield of aromatics (wt%)

YC5+ :

The liquid yield of C5+ (wt%)

Y BTX :

The total yield of benzene–toluene–xylene (wt%)

K ep :

The reversible reaction equilibrium constant

b :

The pressure index

φ :

The catalyst activity factor

k 0 :

The reaction frequency factor (h−1 MPa−b)

E :

The reaction activation energy (kJ mol−1)

K :

The reaction rate constant (h−1)

T :

Reaction temperature (°C)

r :

The reaction rate (kmol h−1)

F :

The molar flow rate (kmol h−1)

V c :

Catalyst bulk volume (m3)

P H :

Partial pressure of hydrogen (MPa)

C p :

Constant pressure specific heat capacity [kJ (kmol K)−1]

References

  1. Sun JM, Li D, Yao RQ, Sun ZH, Li XK, Li WH (2014) Modeling the hydrotreatment of full range medium temperature coal tar by using a lumping kinetic approach. Reac Kinet Mech Cat 114:451–471

    Article  CAS  Google Scholar 

  2. Li D, Li Z, Li WH, Liu QC, Feng ZL, Fan Z (2013) Hydrotreating of low temperature coal tar to produce clean liquid fuels. J Anal Appl Pyrolysis 100:245–252

    Article  CAS  Google Scholar 

  3. Zhu YH, Zhang YH, Dan Y, Yuan Y, Zhang LN, Li WH (2015) Optimization of reaction variables and macrokinetics for the hydrodeoxygenation of full range low temperature coal tar. Reac Kinet Mech Cat 116:433–450

    Article  CAS  Google Scholar 

  4. Niu M, Sun X, Li D, Cui W, Zhang X, Bai X (2017) The hydrodeoxygenation, hydrogenation, hydrodealkylation and ring-opening reaction in the hydrotreating of low temperature coal tar over Ni–Mo/γ-Al2O3 catalyst. Reac Kinet Mech Cat 121:487–503

    Article  CAS  Google Scholar 

  5. Rodríguez MA, Ancheyta JJ (2011) Detailed description of kinetic and reactor modeling for naphtha catalytic reforming. Fuel 90:3492–3508

    Article  CAS  Google Scholar 

  6. Hou WF, Su Hy, Mu SJ, Chu J (2007) Multiobjective optimization of the industrial naphtha catalytic reforming process. Chin J Chem Eng 15:75–80

    Article  CAS  Google Scholar 

  7. Stijepovic MZ, Vojvodic-Ostojic A, Milenkovic I, Linke P (2009) Development of a kinetic model for catalytic reforming of naphtha and parameter estimation using industrial plant data. Energy Fuel 23:979–983

    Article  CAS  Google Scholar 

  8. Van Trimpont PA, Marin GB, Froment GF (1988) Reforming of C7 hydrocarbons on a sulfided commercial platinum/alumina catalyst. Ind Eng Chem Res 27:51–57

    Article  Google Scholar 

  9. Ancheyta JJ, Villafuerte ME (2000) Kinetic modeling of naphtha catalytic reforming reactions. Energy Fuel 14:1032–1037

    Article  CAS  Google Scholar 

  10. Ancheyta JJ, Villafuerte ME, Diaz GL (2001) Modeling and simulation of four catalytic reactors in series for naphtha reforming. Energy Fuel 15:887–893

    Article  CAS  Google Scholar 

  11. Marin GB, Froment GF (1982) Reforming of C6 hydrocarbons on a Pt/Al2O3 catalyst. Chem Eng Sci 137:759–773

    Article  Google Scholar 

  12. Liu K, Fung SC, Ho TC, Rumschitzki DS (2002) Heptane reforming over Pt–Re/Al2O3: reaction network, kinetics, and apparent selective catalyst deactivation. J Catal 206:188–201

    Article  CAS  Google Scholar 

  13. Ako CT, Susu AA (1993) Comparative studies of dehydrocyclization of n-octane and iso-octane on bifunctional and monofunctional Pt/Al2O3 catalysts. Chem Eng Technol 16:10–16

    Article  CAS  Google Scholar 

  14. Hu S, Zhu XX (2004) Molecular modeling and optimization for catalytic reforming. Chem Eng Commun 191:500–512

    Article  CAS  Google Scholar 

  15. Hu YY, Su HY, Chu J (2003) Modeling, simulation and optimization of commercial naphtha catalytic reforming process. In: 42nd IEEE conference on decision and control. proceedings, vol 6. IEEE, p 6206–6211

  16. Wang LS, Zhang QL, Liang C (2012) A 38-lumped model for reforming reaction and its application in continuous catalytic reforming. CIESC J 63:1077–1082

    Google Scholar 

  17. Kou JW, Wei W (1969) A lumping analysis in monomolecular reaction system. Ind Eng Chem Fundam 8:124–130

    Article  Google Scholar 

  18. Smith RB (1959) Kinetics analysis of naphtha reforming with platinum catalyst. Chem Eng Prog 55:76–78

    CAS  Google Scholar 

  19. Krane HG, Groh AB, Schulman BL, Sinfelt JH (1959) Reactions in catalytic reforming of naphthas. Proc World Pet Congr 3:39–51

    Google Scholar 

  20. Ramage MP, Graziani KR, Krambeck FJ (1980) Development of Mobil’s kinetic reforming model. Chem Eng Sci 35:41–48

    Article  CAS  Google Scholar 

  21. Ramage MP, Graziani KR, Schipper PH (1987) KINPTR (Mobil’s kinetic reforming model): a review of Mobil’s industrial process modeling philosophy. Adv Chem Eng 13:193–266

    Article  CAS  Google Scholar 

  22. Zhou HJ, Shi ML, Weng HX, Ling ZJ, Jiang HB (2009) Lumped kinetic model of aromatic type catalytic naphtha reforming. Acta Pet Sin (Pet Process Sect) 4:545–550

    Google Scholar 

  23. American Society for Testing and Materials (ASTM) (1999) Annual book of ASTM standards. ASTM D5134-5198. ASTM, West Conshohocken

    Google Scholar 

  24. Hou WF, Su HY, Hu YY (2006) Modeling, simulation and optimization of a whole industrial catalytic naphtha reforming process on Aspen Plus platform. Chin J Chem Eng 4:584–591

    Article  Google Scholar 

  25. Xu CE (2006) Catalytic reforming process and engineering. China Petrochemical Press, Beijing, pp 484–486

    Google Scholar 

  26. Wei J, Kuo JCW (1969) A lumping analysis in monomolecular reaction systems. Ind Eng Chem Fundam 8:233–243

    Article  Google Scholar 

Download references

Acknowledgements

The financial supports of this work are provided by the National Natural Science Foundation of China (21646009), Shaanxi Province Science and Technology Co-ordination Innovation Project Planned Program (2014KTCL01-09), Shaanxi Province Department of Education Industrialization Training Project (14JF026, 15JF031), and Young Science and Technology Star Project of Shaanxi Province (2016KJXX-32).

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Correspondence to Dong Li.

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Wang, L., Li, D., Han, F. et al. Experimental optimization and reactor simulation of coal-derived naphtha reforming over Pt–Re/γ-Al2O3 using design of experiment and response surface methodology. Reac Kinet Mech Cat 125, 245–269 (2018). https://doi.org/10.1007/s11144-018-1403-3

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