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Mathematical model of anaerobic processes applied to the anaerobic sequencing batch reactor.

机译：应用于厌氧排序批处理反应器的厌氧过程数学模型。

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A mathematical model of anaerobic processes described in this thesis contains two integrated sub-models: a biological model describing the anaerobic degradation of complex substrates and a gravitational settling model for solids-liquid separation in wastewater treatment processes.; Major developments in this biological model are the incorporation of new hydrogen product regulation functions of glucose degradation and new hydrogen inhibition functions of propionate and butyrate degradation. The new hydrogen product regulation functions are derived from the rate equation of ordered single-displacement enzymatic reactions having two substrates. The new hydrogen inhibition functions are developed from the thermodynamic basis of propionate and butyrate degradations. The model was applied to simulate different configurations of anaerobic processes operated under different conditions and provided good agreement with literature data. One of the contributions of this model is that it provides good predictions of the microbial populations of different metabolic groups, which are not well predicted by other models in the literature.; A gravitational settling model was developed for predicting the solids concentration profile in the zone-settling and compression regimes of a gravity thickener. In this model, the effective solids pressure is a function of solids concentration and the rate of change of solids concentration. The model was applied to different situations of gravity settling processes and provided good agreement with literature data. The advances of this model are its predictive ability for vertical solids profiles for both zone-settling and compression regimes, and its use of model parameters that are independent of operating conditions.; The integrated model was applied to evaluate anaerobic sequencing batch reactors (AnSBRs). The simulation results indicate that, in general, the influent strength and the reactor mixed liquid volatile suspended solids (MLVSS) concentration have a positive effect on the maximum organic loading rate of AnSBRs, while the fill/cycle time ratio has a negative effect on the maximum organic loading rate. The optimum fill volume/total volume ratio depends on influent strength, MLVSS, and fill/cycle time ratio.
机译：本文描述的厌氧过程数学模型包含两个集成的子模型：描述复杂基质厌氧降解的生物学模型和用于废水处理过程中固液分离的重力沉降模型。该生物学模型的主要发展是结合了葡萄糖降解的新氢产物调节功能以及丙酸酯和丁酸酯降解的新氢抑制功能。新的氢产物调节功能是从具有两个底物的有序单位移酶促反应的速率方程中得出的。从丙酸酯和丁酸酯降解的热力学基础出发，开发了新的氢抑制功能。该模型用于模拟在不同条件下运行的厌氧过程的不同配置，并与文献数据相吻合。该模型的贡献之一是，它提供了对不同代谢组微生物种群的良好预测，而文献中的其他模型对此没有很好的预测。建立了重力沉降模型，以预测重力浓缩机在区域沉降和压缩状态下的固体浓度分布。在该模型中，有效固体压力是固体浓度和固体浓度变化率的函数。该模型适用于重力沉降过程的不同情况，并与文献数据有很好的一致性。该模型的进步在于其对区域沉降和压缩状态下的垂直固体剖面的预测能力，以及其模型参数的使用不受操作条件的影响。集成模型用于评估厌氧测序批处理反应器（AnSBR）。仿真结果表明，一般而言，进水强度和反应器混合液体挥发性悬浮固体（MLVSS）浓度对AnSBRs的最大有机负载率有积极影响，而填充/循环时间比对AnSBR的最大有机负载率有负面影响。最大有机负载率。最佳填充体积/总体积比率取决于进水强度，MLVSS和填充/循环时间比率。

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