基于响应面法的次氯酸钠脱硫实验参数优化  

Optimization of experimental parameters for desulfurization with sodium hypochlorite based on response surface methodology

作　　者：高飞[1,2] 申佳琦[1] 单亚飞 李应迪[1] 张芸鸣 王大鹏 GAO Fei;SHEN Jiaqi;SHAN Yafei;LI Yingdi;ZHANG Yunming;WANG Dapeng(School of Safety Science and Engineering,Liaoning Technical University,125100 Huludao,China;Key Laboratory of Mine Thermodynamic disasters and Control of Ministry of Education,Liaoning Technical University,125100 Huludao,China;Shanxi Jinshen Energy Company Limited,036500 Xinzhou,China)

机构地区：[1]辽宁工程技术大学安全科学与工程学院,辽宁葫芦岛125100 [2]矿山热动力灾害与防治教育部重点实验室,辽宁葫芦岛125100 [3]山西省晋神能源有限公司,山西忻州036500

出　　处：《煤炭转化》2023年第2期99-108,共10页Coal Conversion

基　　金：国家自然科学基金面上项目(51874161).

摘　　要：为研究NaClO质量分数、NaOH质量分数、反应温度和煤粒径对NaClO脱硫的影响,以脱硫率为响应值,通过Design Expert软件设计和优化了NaClO脱硫实验。利用Box-Behnken实验设计方案,建立脱硫率与各因素之间的预测模型。通过建模检验、残差分析、方差分析,等高线与响应面分析,一方面证明了模型可靠性,另一方面分析了各变量之间的交互影响关系。运用响应面优化法对NaClO脱硫中反应参数进行了优化。结果表明:在实验设计方案建立的预测模型中二次模型可靠性高,且偏差最小,拟合度好;得到煤的脱硫率关于NaClO质量分数、NaOH质量分数、反应温度以及煤粒径的二次多项回归方程,通过残差分析证明二次模型的可靠性良好;二次模型的方差分析与响应曲面分析结果相一致,即单因素对脱硫率的影响程度由大到小依次为:NaOH质量分数、NaClO质量分数、煤粒径、反应温度;各因素交互作用对脱硫率影响程度中,NaOH质量分数与煤粒径最为显著,反应温度与煤粒径最低;通过提高NaClO质量分数、NaOH质量分数以及反应温度,降低煤粒径均可提升煤的脱硫率,但NaOH质量分数和反应温度过高会影响水解速度从而抑制煤的脱硫率;通过响应面分析法的预测与实际实验验证,当NaClO质量分数为6.98%、NaOH质量分数为10.34%、反应温度为36.24℃、煤粒径为120μm时,实验效果最佳,脱硫率可达34.42%。To investigate the effects of NaClO mass fraction,NaOH mass fraction,reaction temperature,and coal particle size on desulfurization with NaClO,desulfurization experiments with NaClO were hereby designed and optimized using Design Expert software,with the desulfurization rate set as the response value.A prediction model between the desulfurization rate and each factor was correspondingly developed using the Box-Behnken experimental design scheme.The modeling tests,the residual analysis,the analysis of variance(ANOVA),as well as the contour and response surface analysis confirmed the reliability of the model,and then were employed to analyze the interaction between the variables.Besides,response surface optimization was adopted to optimize the reaction parameters in desulfurization with NaClO.The results show that among the prediction models established for the experimental design scheme,the quadratic model provided a high-level reliability,the smallest deviation,and a favorable fit.The quadratic multinomial regression equations for the desulfurization rate of coal on NaClO mass fraction,NaOH mass fraction,reaction temperature,and coal particle size are obtained.The reliability of the quadratic model is tested by residual analysis,and the ANOVA of the quadratic model is consistent with the results of the response surface analysis,that is,the degree of influence of the single-factor on the desulfurization rate(from largest to smallest)is:NaOH mass fraction,NaClO mass fraction,coal particle size,reaction temperature.In the influence degree of interaction of the factors to the desulfurization,NaOH mass fraction and coal particle size exercise the most significant effect,while the reaction temperature and coal particle size exert the least significant effect.The desulfurization rate of coal can be improved by increasing the NaClO and NaOH mass fraction,as well as the reaction temperature,and by reducing the particle size of coal.However,high NaOH mass fraction and reaction temperatures can affect the hydrolysis rate of

关 键 词：响应面法 BOX-BEHNKEN设计 次氯酸钠 脱硫 氢氧化钠 

分 类 号：TQ536[化学工程—煤化学工程]