Parameters calibration of the Anaerobic Digestion Model No.1 for various substrates at different operating conditions is an essential key to widely increase the practical application of this model. In this study, the Anaerobic Digestion Model No.1 incorporated in the Matlab/Simulink platform was calibrated to simulate a mesophilic lab-scale reactor fed with the organic fraction of municipal solid waste operated at five different organic loading rates with a constant solid retention time of 25 days. The Shannon entropy was applied as a sensitivity index to identify important parameters as five indicators: biogas flow, methane flow, pH, effluent COD and ammonia. The sensitivity analysis revealed that the parameters of biogas flow indicator, with entropy higher than 0.2 dB, could cover all other indicators’ parameters. The 13 important kinetic parameters including maximum specific uptake rate of sugar, propionate, acetate and C4+ (valeric and butyric acids) were estimated using the genetic algorithms. The calibrated parameters were validated with the last 50 days of operation, in which the overloading situation occurred. While the non-calibrated model failed to predict the biogas flow at the overloading situation, the calibrated ADM1 reasonably simulated the decreasing trend of the produced biogas flow. Therefore, the Shannon entropy performed well in recognition of sensitive parameters of the complicated nonlinear ADM1. Nevertheless, there are differences between the simulated and experimental results of pH and effluent COD, which resulted in the decline of accuracy for other products of biogas and methane flow. The cumulative biogas production and average composition of biogas flow were predicted well with rAE of 0.04 and 0.18, respectively.

厌氧消化模型No.1在不同操作条件下对各种底物的参数校准是广泛增加该模型实际应用的关键。在这项研究中，对Matlab / Simulink平台中集成的1号厌氧消化模型进行了校准，以模拟中温实验室规模的反应器，该反应器中加入了以五种不同有机负荷速率运行且具有固定固体保留时间的城市固体废物有机部分25天。香农熵被用作敏感度指标，以识别重要参数作为五个指标：沼气流量，甲烷流量，pH，废水COD和氨。敏感性分析表明，熵值大于0.2 dB的沼气流量指示器的参数可以覆盖所有其他指示器的参数。使用遗传算法估算了13个重要的动力学参数，包括糖，丙酸酯，乙酸酯和C4 +（戊酸和丁酸）的最大比吸收率。校准参数在运行的最后50天进行了验证，其中发生了过载情况。尽管非校准模型无法预测超载情况下的沼气流量，但校准后的ADM1可以合理地模拟产生的沼气流量的下降趋势。因此，香农熵在识别复杂非线性ADM1的敏感参数方面表现良好。但是，pH和废水COD的模拟结果与实验结果之间存在差异，这导致其他沼气和甲烷流量产品的准确性下降。