Weber Simon
Biofactory Competence Center, Passage du Cardinal 13b, 1700, Fribourg, Switzerland.
Biodegradation. 2024 Aug;35(5):701-717. doi: 10.1007/s10532-024-10072-7. Epub 2024 Mar 25.
Quantitative dynamics of the key intermediates, gases and carbohydrates during anaerobic digestion of different lipid rich kitchen waste and lipid rich model kitchen waste were modeled. Six batch reactors loaded with 25 g l ( 39 l ) kitchen waste and model kitchen waste during a batch experiment were considered in simulation. Observed dynamics of carbohydrates, volatile organic acids and gases were described by an extended benchmark simulation model no. 2 (BSM2). In this study the extended BSM2 included a more detailed -oxidation for prediction of caproic acid. Furthermore, the extensions included carbohydrate digestion with an additional intermediate before propionic acid was released. In addition, a novel simplification approach for initial pH estimation was successfully applied. For parameter estimation a Markov Chain Monte Carlo method was used to obtain parameter distributions. With the presented model it was possible even with no calibrated data to predict point of times of intermediates maxima and propionic acid with relative stable concentration over several days for kitchen waste.
对不同富脂厨余垃圾和富脂模拟厨余垃圾厌氧消化过程中关键中间体、气体和碳水化合物的定量动力学进行了建模。在模拟中考虑了6个间歇式反应器,在间歇实验期间装入25 g·l(39 l)的厨余垃圾和模拟厨余垃圾。碳水化合物、挥发性有机酸和气体的观测动力学由扩展基准模拟模型2(BSM2)描述。在本研究中,扩展的BSM2包括更详细的β-氧化以预测己酸。此外,扩展内容包括在释放丙酸之前,通过一个额外的中间体进行碳水化合物消化。此外,成功应用了一种用于初始pH估计的新型简化方法。为了进行参数估计,使用马尔可夫链蒙特卡罗方法来获得参数分布。利用所提出的模型,即使没有校准数据,也能够预测厨余垃圾中中间体最大值的时间点以及丙酸在几天内相对稳定浓度的情况。