化工学报 ›› 2019, Vol. 70 ›› Issue (3): 1099-1110.DOI: 10.11949/j.issn.0438-1157.20181054

• 能源和环境工程 • 上一篇    下一篇

新型除磷填料的制备及除磷吸附床运行参数的优化

张千1(),刘向阳1,陈旺1,吴恒1,肖芃颖1,吉芳英2,李宸3,念海明3   

  1. 1. 重庆理工大学化学化工学院,重庆 400054
    2. 重庆大学三峡库区生态环境教育部重点实验室,重庆 400045
    3. 重庆川仪环境科技有限公司,重庆 401121
  • 收稿日期:2018-09-19 修回日期:2018-11-07 出版日期:2019-03-05 发布日期:2019-03-05
  • 通讯作者: 张千
  • 作者简介:及第一作者:张千(1986—),男,博士研究生,讲师,<email>zhangqianswu2005@163.com</email>
  • 基金资助:
    国家自然科学基金项目(51708077);重庆市社会事业与民生保障科技创新专项(cstc2018jscx-msybX0134)

Preparation of a novel phosphorus removal filler and optimization of phosphate removal adsorption bed process

Qian ZHANG1(),Xiangyang LIU1,Wang CHEN1,Heng WU1,Pengying XIAO1,Fangying JI2,Chen LI3,Haiming NIAN3   

  1. 1. School of Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
    2. Key Laboratory of Three Gorges Reservoir Region’s Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China
    3. Chongqing Chuanyi Environmental Technology Co., Ltd., Chongqing 401121, China
  • Received:2018-09-19 Revised:2018-11-07 Online:2019-03-05 Published:2019-03-05
  • Contact: Qian ZHANG

摘要:

为解决现有除磷吸附剂粒径小造成的材料易流失和系统压降过大等问题,以实现吸附除磷工艺在实际工程中的应用,以聚氨酯填料为载体,水溶性聚氨酯为介质,将水化硅酸钙负载到聚氨酯填料上制成负载型除磷填料。研究了制备条件对除磷填料除磷效果的影响,采用扫描电子显微镜(SEM)和傅里叶变换红外光谱仪(FTIR)观察分析了负载前后水化硅酸钙微观结构及化学基团的变化;利用除磷填料作为除磷吸附床的滤料,研究了运行条件对吸附床除磷效果的影响。在此基础上,利用响应曲面法研究了除磷吸附床磷酸盐去除率和各变量之间的关系,并对工艺参数进行了优化。结果表明,水性聚氨酯溶液的浓度和用量分别为100 g/L和50 ml,水化硅酸钙的质量为12 g的条件下所制备的除磷填料除磷效果最好;SEM和FTIR分析结果显示,水化硅酸钙负载前后其孔隙结构和化学基团没有明显的变化;预测模型的方差分析结果表明,HRT(X 1)、进水ρ(PO4 3--P)(X 2)、温度(X 3)、初始pH(X 4)以及X 1 X 2X 1 X 4X 2 X 3X 2 X 4的交互作用均对磷酸盐的去除具有显著影响 (P<0.05),但X 1 X 3的交互作用对磷酸盐的去除影响不显著。通过预测模型获得的最佳运行条件为:HRT为79.77 min,进水ρ(PO4 3--P)为1.70 mg/L, 温度为34.04℃,pH为9.68。在该条件下,反应器对磷酸盐的去除率可以达到93.46%。

关键词: 新型除磷填料, 除磷吸附床, 响应曲面法, 运行参数优化

Abstract:

To solve the problems of easy loss of materials and excessive system pressure drop caused by the small particle size of the existing phosphorus removal adsorbent, the application of the adsorption phosphorus removal process in practical engineering is realized. In this study, polyurethane filler was used as carrier, water-soluble polyurethane was used as medium, and hydrated calcium silicate was loaded onto polyurethane filler to make supported phosphorus removal filler. Effect of prepared methods on phosphate removal efficiency of the phosphorus removal filler was studied to obtain the optimum preparation conditions. The change of microstructure and chemical groups of hydrated calcium silicate before and after loading onto polyurethane carriers was revealed by scanning electron microscope (SEM) and Fourier transform infrared spectrometer (FTIR). Effect of operation parameters on phosphate removal efficiency of adsorption bed using phosphorus removal filler as packing materials was investigated through single factor experiment. Based on the results obtained from the single factor experiment, an ideal experimental design was carried out based on central composite design (CCD) with response surface methodology (RSM). The results showed that, the optimum conditions for the preparation of phosphorus removal filler were 50 ml waterborne polyurethane with concentration of 100 g/L, and the hydrated calcium silicate dosage of 12 g. SEM and FTIR observations showed that the pore structure and the chemical groups of hydrated calcium silicate changed slightly after loading onto the filler. The variance analysis of the predication model indicated that HRT(X 1), influent ρ (PO4 3--P)(X 2), temperature(X 3), initial pH(X 4) and the interaction between X 1 X 2, X 1 X 4, X 2 X 3 and X 2 X 4 had significant influence on the response value(P<0.05) while the interaction between X 1 X 3 had non-significant impacts on the response value. The optimum conditions obtained were HRT 79.77 min, influent ρ(PO4 3--P) 1.70 mg/L, temperature 34.04℃ and initial pH 9.68. Under the optimized conditions, the phosphate removal efficiency of the adsorption bed was found to be 93.46%.

Key words: novel phosphorus removal filler, phosphate removal adsorption bed, response surface methodology (RSM), process optimization

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