Zaher Usama, Li Rongping, Jeppsson Ulf, Steyer Jean-Philippe, Chen Shulin
Department of Biological Systems Engineering, Washington State University, P.O. Box 646120, Pullman, WA 99164-6120, USA.
Water Res. 2009 Jun;43(10):2717-27. doi: 10.1016/j.watres.2009.03.018. Epub 2009 Mar 21.
This paper views waste as a resource and anaerobic digestion (AD) as an established biological process for waste treatment, methane production and energy generation. A powerful simulation tool was developed for the optimization and the assessment of co-digestion of any combination of solid waste streams. Optimization was aimed to determine the optimal ratio between different waste streams and hydraulic retention time by changing the digester feed rates to maximize the biogas production rate. Different model nodes based on the ADM1 were integrated and implemented on the Matlab-Simulink simulation platform. Transformer model nodes were developed to generate detailed input for ADM1, estimating the particulate waste fractions of carbohydrates, proteins, lipids and inerts. Hydrolysis nodes were modeled separately for each waste stream. The fluxes from the hydrolysis nodes were combined and generated a detailed input vector to the ADM1. The integrated model was applied to a co-digestion case study of diluted dairy manure and kitchen wastes. The integrated model demonstrated reliable results in terms of calibration and optimization of this case study. The hydrolysis kinetics were calibrated for each waste fraction, and led to accurate simulation results of the process and prediction of the biogas production. The optimization simulated 200,000 days of virtual experimental time in 8 h and determined the feedstock ratio and retention time to set the digester operation for maximum biogas production rate.
本文将废物视为一种资源,将厌氧消化(AD)视为一种成熟的废物处理、甲烷生产和能源生成的生物过程。开发了一种强大的模拟工具,用于优化和评估任何固体废物流组合的共消化。优化旨在通过改变消化器进料速率来确定不同废物流之间的最佳比例和水力停留时间,以最大限度地提高沼气生产率。基于ADM1的不同模型节点在Matlab-Simulink模拟平台上进行了集成和实现。开发了变压器模型节点,以生成ADM1的详细输入,估计碳水化合物、蛋白质、脂质和惰性物质的颗粒废物分数。对每个废物流分别建模水解节点。将水解节点的通量进行组合,并生成ADM1的详细输入向量。将该集成模型应用于稀释奶牛粪便和厨余垃圾的共消化案例研究。该集成模型在该案例研究的校准和优化方面显示出可靠的结果。对每个废物组分的水解动力学进行了校准,从而得到了该过程的准确模拟结果和沼气产量预测。优化在8小时内模拟了200,000天的虚拟实验时间,并确定了原料比例和停留时间,以设定消化器操作以实现最大沼气生产率。