Key Laboratory of Renewable Energy of Ministry of Agriculture, Henan Agricultural University/Collaborative Innovation Center of Biomass Energy, Zhengzhou, China.
Bioengineered. 2020 Dec;11(1):439-448. doi: 10.1080/21655979.2020.1739823.
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.
本研究旨在探究优化条件以提高落叶杨在厌氧消化过程中的沼气产量。进行了两项实验：（1）以氢氧化钙浓度、细菌浓度和堆肥时间作为三个参数，优化发酵预处理条件并进行对比试验；（2）进行了一系列发酵试验，以探索最佳工艺参数和沼气产量特性。结果表明，生物化学联合预处理可有效提高落叶杨作为发酵基质的沼气生产力，在厌氧消化过程中对沼气产量影响最大的参数依次为温度、固含量和 pH 值。最佳预处理条件为：碱浓度 4.61%，细菌浓度 0.20‰，堆肥时间 6.6 天。综合考虑影响杨树叶发酵和累积产气量的因素，确定杨树叶消化的最佳条件为温度 30°C、pH 值 7 和固含量 10%。此外，优化试验的甲烷产量可用修正的 Gompertz 模型很好地拟合。
