University of Maribor, Faculty of Chemistry and Chemical Engineering, Maribor, Slovenia.
Bioresour Technol. 2022 Jul;355:127252. doi: 10.1016/j.biortech.2022.127252. Epub 2022 May 2.
This paper deals with the numerical simulation of biogas production in the anaerobic digestion process of organic waste. Special attention is focused on the modeling of the activities of biological and inorganic additives, which are used to enhance the process and reduce HS content in the biogas. For this purpose, an existing BioModel is upgraded with the modified Michaelis-Menten kinetics in order to model the enzymatic hydrolysis and with adequate modeling of physicochemical processes. The upgraded BioModel was calibrated with experimental data obtained from a full-scale biogas plant, used in combination with an active set optimization procedure; the relative agreement indices were 0.9376, 0.9419, 0.7957, and 0.7663 for biogas, CH, H, and HS flow rates, respectively. Statistical efficiency criteria differ up to 5% in model calibration and validation. The obtained results confirm the importance of additives modeling and the usefulness of the proposed model for industrial biogas plants' performance improvement.
本文针对有机废物厌氧消化过程中沼气产生的数值模拟进行了研究。特别关注了生物和无机添加剂活性的建模，这些添加剂用于增强过程并降低沼气中的 HS 含量。为此，使用改进的米氏动力学对现有的 BioModel 进行了升级，以对酶解进行建模，并对物理化学过程进行适当建模。使用来自实际规模的沼气厂的实验数据对升级后的 BioModel 进行了校准，并结合有效集优化程序进行了校准；沼气、CH、H 和 HS 流速的相对一致指数分别为 0.9376、0.9419、0.7957 和 0.7663。模型校准和验证的统计效率标准相差高达 5%。所得到的结果证实了添加剂建模的重要性，以及所提出的模型对工业沼气厂性能改进的有用性。
