Insel Güçlü, Ozyildiz Goksin, Okutman-Tas Didem, Guven Didem, Zengin Gulsum Emel, Pala-Ozkok Ilke, Sagir Kurt Ece, Atli Ezgi, Artan Nazik, Takács Imre, Cokgor Emine
Istanbul Technical University, Environmental Engineering Department, 34469, Maslak, Istanbul.
Istanbul Technical University, Environmental Engineering Department, 34469, Maslak, Istanbul.
Water Res. 2022 Jun 15;217:118410. doi: 10.1016/j.watres.2022.118410. Epub 2022 Apr 7.
The present study investigated the deviations of operational parameters of a large-scale wastewater treatment plant (WWTP) from design basis through combining dedicated batch experiments with full-scale dynamic modeling results. The long-term process performance of a full-scale biological nutrient removal (BNR) plant equipped with anaerobic sludge digestion system was monitored to evaluate the process kinetics of both carbon and nutrient removal and anaerobic sludge digestion. In this respect, plant-specific characterization; chemical oxygen demand (COD) fractionation, batch kinetic studies and sludge settling velocity tests were performed together with plant-wide SUMO model simulation. Results showed that nitrification and anaerobic hydrolysis were found to be 30% and 70% lower than literature values, respectively. The anaerobic digestion test coupled with plant-wide model calibration showed that anaerobic hydrolysis was the bottleneck in biogas production. Correspondingly, performance of the anaerobic digestion in the full-scale plant was poor as low biogas production yields were observed. In addition, the degradation rate via anaerobic hydrolysis of primary sludge was found to be higher (∼2-2.5) compared to anaerobic hydrolysis of biological sludge. The results of this study provide insight into model-based experimental characterization as well as plant-wide modeling approach. Coupling model-based batch experiments with full-scale modeling enabled to reduce the number of kinetic parameters to be fine-tuned. Moreover, the information gathered from kinetic batch tests to the simulation platform yielded a satisfying prediction of long-term performance of the plant operation.
本研究通过将专门的批次实验与全尺寸动态建模结果相结合，研究了大型污水处理厂（WWTP）运行参数与设计基准的偏差。对配备厌氧污泥消化系统的全尺寸生物营养物去除（BNR）工厂的长期工艺性能进行了监测，以评估碳和营养物去除以及厌氧污泥消化的工艺动力学。在这方面，进行了特定工厂的表征、化学需氧量（COD）分级、批次动力学研究和污泥沉降速度测试，并结合全厂范围的SUMO模型模拟。结果表明，硝化作用和厌氧水解作用分别比文献值低30%和70%。厌氧消化试验与全厂模型校准相结合表明，厌氧水解是沼气生产的瓶颈。相应地，全尺寸工厂的厌氧消化性能较差，因为观察到沼气产量较低。此外，发现初级污泥通过厌氧水解的降解率高于生物污泥的厌氧水解（约2-2.5）。本研究结果为基于模型的实验表征以及全厂范围的建模方法提供了见解。将基于模型的批次实验与全尺寸建模相结合，能够减少需要微调的动力学参数数量。此外，从动力学批次测试收集到模拟平台的信息对工厂运行的长期性能产生了令人满意的预测。
