Although anaerobic membrane bioreactors (AnMBR) are a core technology in the transition of urban wastewater (UWW) treatment towards a circular economy, the transition is being held back by a number of bottlenecks. The dissolved methane released from the effluent, the need to remove nutrients (ideally by recovery), or the energy lost by the competition between methanogenic and sulfate-reducing bacteria (SRB) for the biodegradable COD have been identified as the main issues to be addressed before AnMBR becomes widespread. Mathematical modeling of this technology can be used to obtain further insights into these bottlenecks plus other valuable information for design, simulation and control purposes. This paper therefore proposes an AnMBR anaerobic digestion model to simulate the crucial SRB-related process since these bacteria degrade more than 40% of the organic matter. The proposed model, which is included in the BNRM2 collection model, has a reduced but all-inclusive structure, including hydrolysis, acidogenesis, acetogenesis, methanogenesis and other SRB-related processes. It was calibrated and validated using data from an AnMBR pilot plant treating sulfate-rich UWW, including parameter values obtained in off-line experiments and optimization methods. Despite the complex operating dynamics and influent composition, it was able to reproduce the process performance. In fact, it was able to simulate the AD of sulfate-rich UWW considering only two groups of SRB: heterotrophic SRB growing on both VFA (propionate) and acetate, and autotrophic SRB growing on hydrogen. Besides the above-mentioned constraints, the model reproduced the dynamics of the mixed liquor solids concentration, which helped to integrate biochemical and filtration models. It also reproduced the alkalinity and pH dynamics in the mixed liquor required for assessing the effect of chemical precipitation on membrane scaling.

尽管厌氧膜生物反应器（AnMBR）是城市废水（UWW）向循环经济过渡过程中的一项核心技术，但该过渡过程受到许多瓶颈的阻碍。从废水中释放出的溶解甲烷，需要去除养分（理想情况下是通过回收）或甲烷化细菌与硫酸盐还原菌（SRB）之间竞争可生物降解COD的能量损失已被确定为要解决的主要问题在AnMBR普及之前。该技术的数学建模可用于获得对这些瓶颈的进一步了解，以及用于设计，仿真和控制目的的其他有价值的信息。因此，本文提出了一种AnMBR厌氧消化模型，以模拟与SRB相关的关键过程，因为这些细菌降解了40％以上的有机物。包含在BNRM2收集模型中的拟议模型具有简化但包罗万象的结构，包括水解，产酸，产乙酸，产甲烷和其他SRB相关过程。使用处理富含硫酸盐的UWW的AnMBR中试工厂的数据进行了校准和验证，包括在离线实验和优化方法中获得的参数值。尽管有复杂的运行动力学和进水成分，它仍能够重现过程性能。实际上，仅考虑两组SRB，就能模拟富含硫酸盐的UWW的AD：在VFA（丙酸酯）和乙酸盐上均生长的异养SRB，和自养SRB在氢上生长。除上述限制外，该模型还再现了混合液固体浓度的动态变化，这有助于整合生化和过滤模型。它还在混合液中重现了碱度和pH动态，以评估化学沉淀对膜结垢的影响。