Department of Civil and Environmental Engineering, University of South Florida, 4202 E Fowler Avenue, Tampa, FL 33620, United States.
Environmental Engineering Department, University of Florida, Gainesville, FL 32611, United States.
Bioresour Technol. 2017 Mar;228:9-17. doi: 10.1016/j.biortech.2016.12.072. Epub 2016 Dec 23.
Anaerobic co-digestion has a potential to improve biogas production, but limited kinetic information is available for co-digestion. This study introduced regression-based models to estimate the kinetic parameters for the co-digestion of microalgae and Waste Activated Sludge (WAS). The models were developed using the ratios of co-substrates and the kinetic parameters for the single substrate as indicators. The models were applied to the modified first-order kinetics and Monod model to determine the rate of hydrolysis and methanogenesis for the co-digestion. The results showed that the model using a hyperbola function was better for the estimation of the first-order kinetic coefficients, while the model using inverse tangent function closely estimated the Monod kinetic parameters. The models can be used for estimating kinetic parameters for not only microalgae-WAS co-digestion but also other substrates' co-digestion such as microalgae-swine manure and WAS-aquatic plants.
厌氧共消化有提高沼气产量的潜力，但共消化的动力学信息有限。本研究引入了基于回归的模型来估计微藻和废水活性污泥（WAS）共消化的动力学参数。这些模型使用共底物的比例和单一底物的动力学参数作为指标进行开发。将模型应用于修正的一级动力学和 Monod 模型，以确定共消化的水解和产甲烷速率。结果表明，使用双曲线函数的模型更适合估计一级动力学系数，而使用反正切函数的模型则更准确地估计了 Monod 动力学参数。这些模型不仅可以用于估计微藻-WAS 共消化的动力学参数，还可以用于估计其他底物（如微藻-猪粪和 WAS-水生植物）的共消化动力学参数。
