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Optimization of Ammonia Stripping of Piggery Biogas Slurry by Response Surface Methodology

Author

Listed:
  • Mengyuan Zou

    (Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Hongmin Dong

    (Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Zhiping Zhu

    (Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Yuanhang Zhan

    (Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

Ammonia stripping is a pretreatment method for piggery biogas slurry, and the effectiveness of the method is affected by many factors. Based on the results of single-factor experiments, response surface methodology is adopted to establish a quadratic polynomial mathematical model relating stripping time, pH value and gas flow rate to the average removal rate of ammonia nitrogen to explore the interactions among various influencing factors, obtain optimized combined parameters for ammonia stripping, and carry out experimental verification of the parameters. The results show that when hollow polyhedral packing is adopted under operating conditions including a stripping time of 90 min, pH value of 11, gas flow rate of 28 m 3 /h, gas–liquid ratio of 2000 and temperature of 30 °C, the average removal rate of ammonia nitrogen in biogas slurry can reach approximately 73%. The experimental value is only 4.2% different from the predicted value, which indicates that analysis on the interaction among factors influencing ammonia stripping of biogas slurry and parameter optimization of the regression model are accurate and effective.

Suggested Citation

  • Mengyuan Zou & Hongmin Dong & Zhiping Zhu & Yuanhang Zhan, 2019. "Optimization of Ammonia Stripping of Piggery Biogas Slurry by Response Surface Methodology," IJERPH, MDPI, vol. 16(20), pages 1-12, October.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:20:p:3819-:d:274898
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    Cited by:

    1. Massimo Raboni & Paolo Viotti & Elena Cristina Rada & Fabio Conti & Maria Rosaria Boni, 2020. "The Sensitivity of a Specific Denitrification Rate under the Dissolved Oxygen Pressure," IJERPH, MDPI, vol. 17(24), pages 1-12, December.

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