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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received September 26, 2019
Accepted December 9, 2019

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Multi-objective optimization model of high-temperature ceramic filter

Longfei Liu^{1 2} Zhongli Ji^{1 2†} Xin Luan^{1 2}

¹Department of Mechanical and Transportation Engineering, China University of Petroleum, Beijing 102249, China ²Beijing Key Laboratory of Process Fluid Filtration and Separation, China University of Petroleum, Beijing 102249, China

jizhongli63@vip.sina.com

Korean Journal of Chemical Engineering, May 2020, 37(5), 883-890(8), 10.1007/s11814-019-0461-1

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Abstract

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.

Keywords

Ceramic Filter Tube Reverse-flow Pulse Pressure Multi-objective Optimization Fuzzy Decision-making Method

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