Response surface methodology approach for optimizing the gasification of spent pot lining (SPL) waste materials

Amira Nemmour, Chaouki Ghenai, Abrar Inayat, Isam Janajreh

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper presents new results on the gasification of spent pot lining (SPL) waste material generated in the primary aluminium smelting industry. The main objective is to test the performance of the gasification process of treated SPL materials and to develop an optimization method to maximize the quality of syngas fuel. The novelty of this study is the development of statistical models to predict the syngas composition and the gasification performance indicators during the SPL waste materials thermal conversion process. Modelling and simulation analysis are performed to convert the SPL solid materials to syngas fuel. The percentage of hydrogen (H2) and carbon monoxide (CO) in the syngas fuel, the cold gasification efficiency (CGE) and the carbon conversion (CC) are determined. The response surface methodology (RSM) is used for the optimization of the performance of the gasification process. The effects of the input factors such as the temperature, the equivalence ratio and the steam to fuel ratio on the output variables (H2 and CO in the syngas, the CGE and the CC) are determined. The optimization results show that the optimized operating parameters to maximize the H2, CO, CGE and CC were T = 1200 °C, ER = 0.1 and SFR = 1.29, respectively. The optimum values for the H2, CO, CGE and CC were 37.2%, 22.2%, 79.75% and 97.7%, respectively. New correlations for the variation of the output variables versus the input factors are also presented.

Original languageBritish English
Pages (from-to)8883-8898
Number of pages16
JournalEnvironmental Science and Pollution Research
Volume30
Issue number4
DOIs
StatePublished - Jan 2023

Keywords

  • Aluminium smelting
  • Gasification
  • Modelling and simulation
  • Optimization
  • RSM method
  • Spent cell liner
  • Syngas
  • Waste-to-energy

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