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

被引:5
作者
Nemmour, Amira [1 ]
Ghenai, Chaouki [1 ,2 ,3 ]
Inayat, Abrar [1 ,2 ]
Janajreh, Isam [4 ]
机构
[1] Univ Sharjah, Biomass & Bioenergy Res Grp, Res Inst Sci & Engn, Sharjah, U Arab Emirates
[2] Univ Sharjah, Coll Engn, Sustainable & Renewable Energy Engn Dept, Sharjah, U Arab Emirates
[3] Univ Sharjah, Res Inst Sci & Engn, Renewable Energy & Energy Efficiency Res Grp, Sharjah, U Arab Emirates
[4] Khalifa Univ, Mech Engn Dept, POB 127788, Abu Dhabi, U Arab Emirates
关键词
Waste-to-energy; Gasification; Spent cell liner; Aluminium smelting; Modelling and simulation; Syngas; Optimization; RSM method; HYDROGEN-PRODUCTION; OPTIMIZATION; RSM; PARAMETERS; SIMULATION;
D O I
10.1007/s11356-022-24003-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 (H-2) 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 (H-2 and CO in the syngas, the CGE and the CC) are determined. The optimization results show that the optimized operating parameters to maximize the H-2, CO, CGE and CC were T = 1200 degrees C, ER = 0.1 and SFR = 1.29, respectively. The optimum values for the H-2, 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.
引用
收藏
页码:8883 / 8898
页数:16
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