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厌氧复合反应器中酿酒厂废醪液的生物降解

Biodegradation of distillery spent wash in anaerobic hybrid reactor.

作者信息

Sunil Kumar Gupta, Gupta S K, Singh Gurdeep

机构信息

Centre of Mining Environment, Indian school of Mines, Dhanbad 826004, India.

出版信息

Water Res. 2007 Feb;41(4):721-30. doi: 10.1016/j.watres.2006.11.039. Epub 2007 Jan 16.

Abstract

A lab-scale anaerobic hybrid (combining sludge blanket and filter) reactor was operated in a continuous mode to study anaerobic biodegradation of distillery-spent wash. The study demonstrated that at optimum hydraulic retention time (HRT), 5 days and organic loading rate (OLR), 8.7kgCOD/m(3)d, the COD removal efficiency of the reactor was 79%. The anaerobic reduction of sulfate increases sulfide concentration, which inhibited the metabolism of methanogens and reduced the performance of the reactors. The kinetics of biomass growth i.e. yield coefficient (Y,0.0532) and decay coefficient (K(d), 0.0041d(-1)) was obtained using Lawrence and McCarty model. However, this model failed in determining the kinetics of substrate utilization. Bhatia et al. model having inbuilt provision of process inhibition described the kinetics of substrate utilization, i.e. maximum rate of substrate utilization (R,1.945d(-1)) and inhibition coefficient values (K(i),0.032L/mg). Modeling of the reactor demonstrated that Parkin and Speece, and Bhatia et al. models, both, could be used to predict the effluent substrate concentration. However, Parkin and Speece model predicts effluent COD more precisely (within +/-2%) than Bhatia et al. model (within +/-5-20%) of the experimental value. Karhadkar et al. model predicted biogas yield within +/-5% of the experimental value.

摘要

运行一个实验室规模的厌氧混合(结合污泥床和过滤器)反应器,以连续模式研究酿酒厂废醪液的厌氧生物降解。研究表明,在最佳水力停留时间(HRT)为5天和有机负荷率(OLR)为8.7kgCOD/m³·d时,该反应器的COD去除效率为79%。硫酸盐的厌氧还原会增加硫化物浓度,这会抑制产甲烷菌的代谢并降低反应器性能。使用劳伦斯和麦卡蒂模型获得了生物量生长动力学,即产率系数(Y,0.0532)和衰减系数(Kd,0.0041d⁻¹)。然而,该模型未能确定底物利用动力学。具有过程抑制内置规定的巴蒂亚等人的模型描述了底物利用动力学,即底物利用的最大速率(R,1.945d⁻¹)和抑制系数值(Ki,0.032L/mg)。对该反应器的建模表明,帕金和斯皮斯模型以及巴蒂亚等人的模型都可用于预测出水底物浓度。然而,帕金和斯皮斯模型预测出水COD比巴蒂亚等人的模型(在实验值的±5 - 20%范围内)更精确(在±2%范围内)。卡尔哈德卡尔等人的模型预测的沼气产量在实验值的±5%范围内。

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