Optimization of Ammonia Stripping of Piggery Biogas Slurry by Response Surface Methodology
Bibliographic Data
| ID | 15475707 |
|---|---|
| Authors | Mengyuan Zou (0009-0003-1568-8549, Chinese Academy of Agricultural Sciences), Hongmin Dong (0000-0002-3868-6824, Chinese Academy of Agricultural Sciences), Zhiping Zhu (0000-0002-5330-6199, Chinese Academy of Agricultural Sciences, corresponding author), Yuanhang Zhan (0000-0001-6585-0645, Chinese Academy of Agricultural Sciences) |
| Year | 2019 |
| Volume | 16 |
| Issue | 20 |
| Pages | 3819-3819 |
| Publication date | 2019-10-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph16203819 |
| PMID | 31658703 |
| OpenAlex | W2980269786 |
| Language | EN |
| Citations received | 1 |
| References cited | 15 |
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
Ammonia · Biogas · Chromatography · Composite material · Mechanics · Methane · Nitrogen · Physics · Process engineering · Pulp and paper industry · Response surface methodology · Slurry · Stripping (fiber · Volumetric flow rate · Waste management · Anaerobic Digestion and Biogas Production · Chemistry · Coal Combustion and Slurry Processing · Engineering · Environmental Science · Materials Science · Wastewater Treatment and Nitrogen Removal · Environmental Engineering
| Citations per year | 0.17 |
|---|---|
| Citation span | 2020 - 2020 (1) |
| Highly cited | No |