基于RSM模型对污泥联合调理的参数优化

Parameter optimization of sludge co-conditioning based on RSM model

研究了Ca O、PAFC联合表面活性剂(1227)预处理对污泥脱水性能的影响,以污泥滤饼含水率(WC)和毛细吸水时间(CST)作为评价指标进行单因素实验,得出药剂投加量的最佳范围.然后通过以响应曲面优化法(RSM)为依据的Box-Behnken实验,建立了滤饼含水率和CST减少率二次多项式预测模型,进而得到联合调理的最佳工艺参数.结果表明,联合调理能够明显提高污泥的脱水性能,Ca O、PAFC和1227的最佳药剂量分别为42.00,60.40,80.89mg/g,此条件下滤饼含水率为(68.30±0.26)%,CST减少率为(87.30±0.32)%.同时,在最优条件下进行了验证实验,结果与模型预测值基本吻合,表明基于响应曲面法所得的最佳工艺参数准确可靠,对相关污泥处理及条件优化具有一定的指导意义.

The potential benefits of sludge dewaterability under surfactant-conditioning（1227） with CaO, PAFC were investigated. Water content of dewatered sludge（WC） and CST were regarded as evaluation index, and single factor experiment was conducted to obtain optimum range of reagent dosage. Then quadratic polynomial prediction models of WC and CST reduction efficiency were established by Box-Behnken experimental design based on response surface methodology（RSM）, and optimum parameters of co-conditioning were obtained. The results demonstrated that co-conditioning could significantly improve sludge dewaterability. The optimum values for CaO, PAFC and 1227 were 42.00, 60.40 and 80.89mg/g, respectively, at which WC of（68.30±0.26）% and the CST reduction efficiency of（87.30±0.32）% could be achieved. Meanwhile, verifying experiment was conducted under the optimal conditions and experimental results coincided with model predictions. Thus the optimum parameters obtained from response surface methodology were accurate and reliable, and have certain directive meaning for related sludge treatment and condition optimization.