Department of Environmental Engineering, National Cheng Kung University, No. 1, University Road, Tainan, 701, Taiwan.
Department of Environmental Engineering, National Cheng Kung University, No. 1, University Road, Tainan, 701, Taiwan; Sustainable Environment Research Laboratory (SERL), National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan.
Chemosphere. 2024 Aug;362:142939. doi: 10.1016/j.chemosphere.2024.142939. Epub 2024 Jul 25.
The study evaluated the most efficient biological nitrogen removal (BNR) process in four full-scale municipal wastewater treatment plants (WWTPs) by using BioWin, a simulation software based on the activated sludge model (ASM). A series of experiments were conducted to determine the kinetic and stoichiometric parameters for the ASM. Results indicated that autotrophic maximum specific growth rates in the studied WWTPs were generally higher compared to previous findings, likely due to their low COD/N ratios, emphasizing the importance of local parameterization. Continuous water quality monitoring in each plant was employed to validate the model. Dynamic simulation results indicated that the error remained within an acceptable range, with a mean relative error of less than 20%, confirming the reliability of ASM parameters derived from batch experiments. Subsequently, various operational scenarios were analyzed to determine the optimal BNR process for each plant, considering influent flow rate, internal recycling, and methanol addition. Simulation outcomes suggested that O/A (oxic/anoxic) operation is preferable for plants with low organic content (COD = 60-110 mg/L), considering both operational costs and total nitrogen removal rate. Conversely, A/O (anoxic/oxic) operation might be advantageous for plants with higher influent organic matter (COD = 200 mg/L).
该研究使用基于活性污泥模型 (ASM) 的仿真软件 BioWin,在四个全规模城市污水处理厂 (WWTP) 中评估了最有效的生物脱氮 (BNR) 工艺。进行了一系列实验来确定 ASM 的动力学和化学计量参数。结果表明,与之前的发现相比,研究中 WWTP 的自养最大比生长速率通常较高,这可能是由于其低 COD/N 比所致,强调了本地化参数化的重要性。每个工厂都进行了连续的水质监测,以验证模型。动态模拟结果表明,误差保持在可接受的范围内,平均相对误差小于 20%,证实了从批量实验得出的 ASM 参数的可靠性。随后,分析了各种操作方案,以确定每个工厂的最佳 BNR 工艺,考虑了进水流量、内部回流和甲醇添加。模拟结果表明,对于有机含量较低的工厂(COD=60-110mg/L),O/A(好氧/缺氧)操作在考虑运营成本和总氮去除率方面更为可取。相比之下,对于具有较高进水有机物(COD=200mg/L)的工厂,A/O(缺氧/好氧)操作可能更为有利。