污泥磷形态及响应面分析法优化释磷试验

Experimental study on phosphorus form of sludge and response surface method to optimize phosphorus release

  • 摘要: 基于污水处理厂的工艺流程特点,选择不同的工艺段测定磷的浓度,以确定污泥最佳的释磷条件。结果表明:污泥中磷占比最高,为68%;污泥中总磷浓度为47.12 mg/g,其中主要为无机磷,占89.3%。针对污泥中磷的组成特点,采用低温热解、耦合酸解和投加乙二胺四乙酸(EDTA)的方式来释放污泥中的磷。根据Box-Behnken设计及响应面分析法对工艺进行优化,对pH(X1)、反应温度(X2)及EDTA浓度(X3)3个影响因素的单独作用及各因素之间的交互作用进行考察,建立回归方程。回归方程的拟合度较好(R2=0.987 0),X1对磷释放率的线性效应极显著,X12对磷释放率的曲面效应极显著。结合经济性和实际性,选择pH为4,反应温度为53 ℃,EDTA浓度为14.5 mmol/L作为污泥释磷的最佳工艺条件,此时验证试验的磷释放率为62.85%,回归方程预测值为62.91%,试验值与预测值吻合较好,可为污泥释磷工艺及后续磷回收技术应用提供技术支撑。

     

    Abstract: Based on the characteristics of the process flow of the sewage treatment plant, different process sections were selected to determine the phosphorus concentration in order to determine the optimal range of phosphorus release conditions from sludge. The results showed that the phosphorus content in the sludge was the highest, accounting for 68% of the phosphorus in the sewage plant. The total phosphorus (TP) concentration in the sludge was 47.12 mg/g, and inorganic phosphorus was the main component, accounting for 89.3% of the TP. Aiming at the composition characteristics of phosphorus in sludge, the experiment adopted low temperature pyrolysis coupled acid hydrolysis and addition of ethylenediamine tetraacetic acid (EDTA) to release phosphorus in sludge. The process was optimized according to Box-Behnken Design experiments and response surface methodology. The single effect and interaction effects of pH values (X1), reaction temperature (X2) and EDTA concentration (X3) were investigated, and the regression equation was established. The results showed that the regression equation had a good fit (R2= 0.987 0). The linear effect of X1 and the curve effect of X12 on the phosphorus release rate were extremely significant. Combined with economy and practicality, the optimal process conditions for selecting phosphorus release from sludge were: pH was 4, reaction temperature was 53 ℃, EDTA concentration was 14.5 mmol/L, and the phosphorus release rate of the verification experiment was 62.85%, and the forecast value of regression equation was 62.91%. The simulated values agreed well with the predicted values, which could provide technical support for the sludge phosphorus release process and subsequent phosphorus recovery technology applications.

     

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