Department of Civil Engineering, Indian Institute of Technology Roorkee, 247667, India; Water and Environmental Engineering Department, Faculty of Engineering, Kandahar University, Afghanistan.
Enironmental Hydrology Division, National Institute of Hydrology, Roorkee, 247667, India.
Environ Res. 2022 Sep;212(Pt C):113382. doi: 10.1016/j.envres.2022.113382. Epub 2022 May 12.
In this study, four batch assays were performed to ensure the synergic effects of co-digestion and find out the best inoculums to substrate ratio (ISR), carbon to nitrogen ratio (C:N), and total solid (TS) percentage in sequence. The co-digestion of three feedstocks had a 20% higher biogas yield (416 mL/gVS added) than mono-digestion with 21% volatile solids (VS) degradation. The ISR of 2 leads to the highest biogas yield (431 mL/gVS added) and VS removal (30.3%) over other ISRs (0.5, 1.0, 2.5) studied. The lower ISR (<2) tended to have lower pH due to insufficient anaerobes inside the digester. The C:N 35 (with ISR 2) yielded 17.4% higher biogas (443.5 mL/gVS added) than mono-digestion and was the highest among the C:N ratios studied with 36.6% VS removal. The VFA, alkalinity, and pH in C:N 35 assay were more stable than in other C:N assays. In the fourth batch assay, varying TS% (5, 7.5, 10, 12.5) were used with optimized ISR (2) and C:N (35). Higher TS% (10 and 12.5) had some lag phase but later achieved higher biogas production. The 12.5% TS assay achieved 80% higher biogas yield (679 mL/gVS added) over mono-digestion, i.e., highest among the TS% studied, with 48% VS removal. In conclusion, co-digestion of mixed feedstocks with ISR 2, C:N 35, and TS 12.5% could degrade almost half of the substrate available for biodegradation. Further biodegradation may require pretreatment of the recalcitrant WS. Modified Gompertz, first-order, transference, and logistic models were used for kinetic study and curve fitting of experimental data. For the optimized batch assays, the estimated specific rate constants were 0.08, 0.12, 0.083, and 0.084. The data fits well in all the models, with the coefficient of discrimination (R) ranging from 0.882 to 0.999.
在这项研究中,进行了四批批实验,以确保共消化的协同作用,并依次确定最佳接种物与底物比(ISR)、碳氮比(C:N)和总固体(TS)百分比。三种原料的共消化比单独消化具有 21%挥发性固体(VS)降解的沼气产量高 20%(416 毫升/克 VS 添加)。ISR 为 2 时,沼气产量(431 毫升/克 VS 添加)和 VS 去除率(30.3%)最高,优于研究的其他 ISR(0.5、1.0、2.5)。较低的 ISR(<2)由于消化器内厌氧菌不足,往往 pH 值较低。C:N 35(ISR 为 2)的沼气产量比单独消化高 17.4%(443.5 毫升/克 VS 添加),是研究的 C:N 比中最高的,VS 去除率为 36.6%。C:N 35 测定中的 VFA、碱度和 pH 值比其他 C:N 测定更稳定。在第四批批实验中,使用优化的 ISR(2)和 C:N(35),分别使用不同的 TS%(5、7.5、10、12.5)。较高的 TS%(10 和 12.5)有一些滞后期,但后来实现了更高的沼气产量。12.5%TS 测定的沼气产量比单独消化高 80%(679 毫升/克 VS 添加),即在所研究的 TS%中最高,VS 去除率为 48%。总之,ISR 为 2、C:N 为 35 和 TS 为 12.5%的混合原料共消化可降解近一半可生物降解的底物。进一步的生物降解可能需要对难生物降解的 WS 进行预处理。修正的 Gompertz、一级、传递和逻辑斯谛模型用于动力学研究和实验数据的曲线拟合。对于优化的批实验,估计的比速率常数分别为 0.08、0.12、0.083 和 0.084。数据在所有模型中拟合良好,判别系数(R)范围从 0.882 到 0.999。