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Process optimization for the anaerobic digestion of poplar (Populus L.) leaves

机译:杨树(杨树L.)叶片厌氧消化的过程优化

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摘要

This study investigates the optimized condition for enhancing biogas production in the anaerobic digestion of fallen poplar leaves. Two experiments were conducted: (1) The calcium hydroxide concentration, bacteria concentration, and composting time were used as three parameters to optimize the fermentation pretreatment condition and contrasting tests were performed; and (2) a series of fermentation tests were conducted to explore the best process parameters and biogas production characteristics. The results showed that a biological and chemical combined pretreatment effectively improved the biogas productivity of poplar leaves as fermentation substrates, and the parameter that had the greatest effect during anaerobic digestion was temperature followed by the solid concentration and pH value. The optimal pretreatment condition was: alkali concentration 4.61%, bacterial concentration 0.20‰, and a composting time of 6.6 days. By considering the factors that affect the fermentation of poplar leaves and the cumulative gas production, the optimum condition for poplar leave digestion was found to be a temperature of 30°C, a pH of 7, and a 10% solid concentration. In addition, the methane yield of the optimized trial was well fitted using the modified Gompertz model.
机译:本研究调查了在堕落杨树叶片中增强沼气生成的优化条件。进行了两次实验:(1)氢氧化钙浓度,细菌浓度和堆肥时间用作优化发酵预处理条件的三个参数,进行对比度试验; (2)进行一系列发酵试验以探索最佳的工艺参数和沼气生产特性。结果表明,生物和化学组合预处理有效地改善了杨树叶片作为发酵底物的沼气生产率,并且在厌氧消化期间具有最大效果的参数是温度,然后是固体浓度和pH值。最佳预处理条件是:碱浓度4.61%,细菌浓度为0.20‰,堆肥时间为6.6天。通过考虑影响杨树叶和累积气体产生的发酵的因素,发现杨树留下消化的最佳条件为30℃,pH为7和10%的固体浓度。此外,使用改性的Gompertz模型,优化试验的甲烷产量很好地拟合。

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