Simulation of anaerobic degradation processes using the Anaerobic Digestion Model No. 1 (ADM1)

厌氧方法在工业废水处理的许多领域是最先进的。然而，四级厌氧过程对边界条件的变化和负荷的变化反应非常敏感。因此，电厂往往不能在其最佳水平运行。动态模型有助于更好地理解过程，并可用于检查各种影响因素。在项目的前两年，不同实验室对淀粉废水和几种合成底物的研究结果被用来确定底物和生物质的特定参数，并校准厌氧消化模型1号（ADM1）。此外，在ADM1中加入乳酸发酵，以准确模拟葡萄糖降解。利用第二个实验装置的数据对扩展模型进行了验证；它可以成功地用于预测主要相关工艺参数（如气体质量、气体量、出水COD和VFA、反应器pH）。然而，一些负荷试验的甲烷产量在模拟结果中显示出一个高甲烷峰值，这在实验结果中是不可能观察到的。这表明在模型中尚未实现的负载测试期间可能发生抑制。此外，由于产物积累的抑制在ADM1的大多数过程中没有被考虑。因此，即使是自耗反应也能模拟出正电荷。因此，这些点将在项目的第二部分进行研究：-研究pH和VFA对厌氧过程的抑制作用，以优化ADM1中实现的抑制功能-根据实际情况在ADM1中实现吉布斯能量计算，以预测反应方向。

Anaerobic methods are state of the art in many areas of industrial wastewater treatment. However, the four-stage anaerobic process reacts very sensitively to variations of the boundary conditions and to load changes. Therefore, the plants can often not operate at their optimal levels. Dynamic models can contribute to a better understanding of the process and can be used for the examination of various influencing factors. During the first two years of the project, the results of different laboratory investigations with starch wastewater and several synthetic substrates were used to determine substrate and biomass specific parameters and to calibrate the Anaerobic Digestion Model No. 1 (ADM1). In addition, the lactic acid fermentation was incorporated in the ADM1 for accurate simulation of the glucose degradation. The extended model was validated using the data of a second laboratory plant; it could be successfully used to predict main relevant process parameters (like gas quality, gas quantity, COD and VFA in the effluent, pH in reactor). However, the methane production for some of the load tests shows a high methane peak in the simulations results which could not have been observed in the experimental results. This indicates that inhibitions may occur during load tests which are not yet implement in the model. Furthermore, inhibition due to product accumulation is not considered in most of the processes in the ADM1. Therefore, even endergonic reactions are simulated with positive rates. Therefore, these points will be investigated during the intended second part of the project as follows: - Investigation of pH and VFA inhibition of the anaerobic process in order to optimize the inhibition function implemented in ADM1 - Implementation of Gibbs energy calculation depending on actual conditions into ADM1 in order to predict the reaction direction.