Department of Environmental Engineering, Inha University, Namgu Yonghyun dong 253, Incheon, Republic of Korea.
Environmental Science Program, Faculty of Science Technology and Agriculture, Yala Rajabhat University, Yala 95000, Thailand; Center of Excellence on Hazardous Substance Management (HSM), Bangkok 10330, Thailand.
Bioresour Technol. 2017 Dec;245(Pt A):207-215. doi: 10.1016/j.biortech.2017.08.003. Epub 2017 Aug 14.
An Anaerobic Membrane BioReactors (AnMBR) model is presented in this paper based on the combination of a simple fouling model and the Anaerobic Model 2b (AM2b) to describe biological and membrane dynamic responses in an AnMBR. In order to enhance the model calibration and validation, Trans-Membrane Pressure (TMP), Total Suspended Solid (TSS), COD, Volatile Fatty Acid (VFA) and methane production were measured. The model shows a satisfactory description of the experimental data with R≈0.9 for TMP data and R≈0.99 for biological parameters. This new model is also proposed as a numerical tool to predict the deposit mass composition of suspended solid and Soluble Microbial Products (SMP) on the membrane surface. The effect of SMP deposit on the TMP jump phenomenon is highlighted. This new approach offers interesting perspectives for fouling prediction and the on-line control of an AnMBR process.
本文提出了一种基于简单污垢模型和厌氧模型 2b（AM2b）组合的厌氧膜生物反应器（AnMBR）模型，以描述 AnMBR 中的生物和膜动态响应。为了增强模型的校准和验证，测量了跨膜压力（TMP）、总悬浮固体（TSS）、COD、挥发性脂肪酸（VFA）和甲烷产量。该模型对实验数据的描述非常令人满意，TMP 数据的 R≈0.9，生物参数的 R≈0.99。该新模型也被提议作为一种数值工具，以预测悬浮固体和可溶性微生物产物（SMP）在膜表面上的沉积质量组成。强调了 SMP 沉积物对 TMP 突跃现象的影响。这种新方法为污垢预测和 AnMBR 过程的在线控制提供了有趣的前景。
