Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Int J Environ Res Public Health. 2019 Oct 10;16(20):3819. doi: 10.3390/ijerph16203819.
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/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.
氨汽提是一种预处理猪场沼气浆的方法,该方法的效果受许多因素的影响。基于单因素实验结果,采用响应面法建立了一个与汽提时间、pH 值和气体流量与氨氮平均去除率相关的二次多项式数学模型,以探讨各影响因素之间的相互作用,获得氨汽提的最佳组合参数,并对参数进行实验验证。结果表明,在操作条件下采用中空多面体填料,汽提时间 90 min、pH 值 11、气体流量 28 m/h、气液比 2000、温度 30°C 时,沼气浆中氨氮的平均去除率可达到约 73%。实验值与预测值仅相差 4.2%,这表明对影响沼气浆氨汽提因素之间的相互作用的分析以及回归模型参数的优化是准确有效的。