China-Eu Institute for Clean and Renewable Energy, Huazhong University of Science & Technology, Wuhan 430074, China.
School of Environmental Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
Bioresour Technol. 2016 Jul;211:101-7. doi: 10.1016/j.biortech.2016.03.002. Epub 2016 Mar 8.
The present study focused on the application of anaerobic digestion model no. 1 (ADM1) to simulate biogas production from Hydrilla verticillata. Model simulation was carried out by implementing ADM1 in AQUASIM 2.0 software. Sensitivity analysis was used to select the most sensitive parameters for estimation using the absolute-relative sensitivity function. Among all the kinetic parameters, disintegration constant (kdis), hydrolysis constant of protein (khyd_pr), Monod maximum specific substrate uptake rate (km_aa, km_ac, km_h2) and half-saturation constants (Ks_aa, Ks_ac) affect biogas production significantly, which were optimized by fitting of the model equations to the data obtained from batch experiments. The ADM1 model after parameter estimation was able to well predict the experimental results of daily biogas production and biogas composition. The simulation results of evolution of organic acids, bacteria concentrations and inhibition effects also helped to get insight into the reaction mechanisms.
本研究聚焦于应用厌氧消化模型一号（ADM1）来模拟水鳖属植物（Hydrilla verticillata）产生沼气的过程。模型模拟是通过在 AQUASIM 2.0 软件中实现 ADM1 来进行的。敏感性分析用于使用绝对相对敏感性函数选择用于估计的最敏感参数。在所有动力学参数中，分解常数（kdis）、蛋白质水解常数（khyd_pr）、Monod 最大特定基质摄取速率（km_aa、km_ac、km_h2）和半饱和常数（Ks_aa、Ks_ac）对沼气产量有显著影响，通过将模型方程拟合到批量实验获得的数据来优化这些参数。经过参数估计的 ADM1 模型能够很好地预测每日沼气产量和沼气成分的实验结果。有机酸、细菌浓度和抑制效应的演变模拟结果也有助于深入了解反应机制。
