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Multi-objective optimization model of high-temperature ceramic filter

Ceramic filters have been widely used in industrial engineering, such as the Shell coal gasification process (SCGP) and Integrated gasification combined cycle (IGCC), where the performance of the ceramic filter is achieved by the pulse jet. Residual pressure drop and gas consumption are directly related to reverse-flow pulse (RFP) pressure. However, in the process of operation, the RFP pressure is too large and gas consumption is too high. In this study, the effects of RFP pressures on filter’s cleaning efficiency, residual pressure drop, and gas consumption were investigated on a ceramic filter. Within a certain range, the cleaning efficiency gradually increased with increased RFP pressure. When the RFP pressure reached a certain value, the cleaning efficiency did not increase with increased pressure, showing a quadratic relationship between cleaning efficiency and RFP pressure. The residual pressure drop and RFP pressure were also in a quadratic relationship. Besides, the gas consumption increased linearly as increased RFP pressure according to the theoretical model. Based on the research results, a multi-objective optimization model of a ceramic filter was established with the cleaning efficiency as a constraint condition, gas consumption and residual pressure drop as the optimization objectives. A fuzzy decision-making method was used to solve the optimization model and calculate the residual pressure drop and gas consumption, from which the optimal RFP pressure was obtained.

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G :

gas consumption [g]

p _a :

absolute pressure of the pulse air tank before pulse jet [MPa]

p _b :

absolute pressure of the pulse air tank after pulse jet [MPa]

T ₁ :

gas temperature before pulse jet [K]

V :

volume of the pulse-air tank [m3]

R:

gas characteristic constant [287m2·s?2·K?1]

δp_d :

pressure drop of the ceramic filter tubes before pulse jet [kPa]

δp_a :

pressure drop of the ceramic filter tubes after pulse jet [kPa]

δp₀ :

initial pressure drop of the ceramic filter tubes [kPa]

v :

filtration velocity [m/min]

te]δp_ra :

average residual pressure drop [kPa]

p ₁ :

reverse-flow pulse pressure [MPa]

γ:

adiabatic exponent [1.4]

η:

cleaning efficiency [%]

λ*:

fuzzy compromise index

λ:

minimum satisfaction

∂₁ :

standard deviation of the residual pressure drop

∂₂ :

standard deviation of the gas consumption

μ₁ :

arithmetic mean value of residual pressure drop

1. S. Heidenreich, Fuel, 104, 83 (2013).

   Article  CAS  Google Scholar 

2. F.P. Nagel, S. Ghosh, C. Pitta, T. J. Schildhauer and S. Biollaz, Biomass Bioenergy, 35, 354 (2011).

   Article  CAS  Google Scholar 

3. J.D. Chung, T.W. Hwang and S. J. Park, Korean J. Chem. Eng., 20, 1118 (2003).

   Article  CAS  Google Scholar 

4. J.H. Choi, S. J. Ha and Y.O. Park, Korean J. Chem. Eng., 19, 711 (2002).

   Article  CAS  Google Scholar 

5. H. X. Li, Z. L. Ji, X. L. Wu and J. H. Choi, Powder Technol., 173, 82 (2007).

   Article  CAS  Google Scholar 

6. I. Schildermans, J. Baeyens and K. Smolders, Filter Sep., 41, 26 (2004).

   Article  CAS  Google Scholar 

7. J.H. Choi, Y.G. Seo and J.W. Chung, Powder Technol., 114, 129 (2001).

   Article  CAS  Google Scholar 

8. M. Lupión, F. J. G. Ortiz, B. Navarrete and V. J. Cortés, Fuel, 89, 848 (2010).

   Article  Google Scholar 

9. M. Lupion, B. Navarrete, B. A. Fariñas and M.R. Galan, Fuel, 108, 24 (2013).

   Article  CAS  Google Scholar 

10. E. Bakke, J. Air. Pollut. Contr. Assoc., 24, 1150 (1974).

    Article  Google Scholar 

11. J. Ju, M. S. Chiu and C. Tien, Chem. Eng. Res. Des., 78, 581 (2000).

    Article  CAS  Google Scholar 

12. Z. L. Ji, M. X. Shi and F. X. Ding. Powder Technol., 139, 200 (2004).

    Article  CAS  Google Scholar 

13. I. Schildermans, J. Baeyens and K. Smolders. Filtr. Sep., 26, 41 (2004).

    Google Scholar 

14. C. Kanaoka and M. Amornkitbamrung, Powder Technol., 118, 113 (2001).

    Article  CAS  Google Scholar 

15. H.C. Chi, Z.L. Ji, D.M. Sun and L.S. Cui, Chin. J. Chem. Eng., 17, 219 (2009).

    Article  CAS  Google Scholar 

16. J. P. Hurley, B. Mukherjee and M.D. Mann, Energy Fuel, 20, 1629 (2006).

    Article  CAS  Google Scholar 

17. A.K. Dhingra and H. Moskowitz, Eur. J. Oper. Res., 53, 348 (2012).

    Article  Google Scholar 

18. L.M. Kalonda and R. M. Joseph, Int. J. Uncertain. Fuzz., 21, 51 (2013).

    Article  Google Scholar 

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This research was supported by the National Key Research and Development Program of China (No. 2016YFB0601100).

1. Department of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, 102249, China

   Longfei Liu, Zhongli Ji & Xin Luan

2. Beijing Key Laboratory of Process Fluid Filtration and Separation, China University of Petroleum, Beijing, 102249, China

   Longfei Liu, Zhongli Ji & Xin Luan

1. Longfei Liu
2. Zhongli Ji
3. Xin Luan

Correspondence to Zhongli Ji.

Liu, L., Ji, Z. & Luan, X. Multi-objective optimization model of high-temperature ceramic filter. Korean J. Chem. Eng. 37, 883–890 (2020). https://doi.org/10.1007/s11814-019-0461-1

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• Received: 26 September 2019

• Accepted: 09 December 2019

• Published: 29 April 2020

• Issue Date: May 2020

• DOI: https://doi.org/10.1007/s11814-019-0461-1

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