Cannabis ruderalis straw (CRS) was anaerobically co-digested with blackwater to produce biomethane. Methane production was enhanced when the CRS was pretreated ultrasonically before anaerobic digestion with blackwater (BW). The modified Gompertz model (MGM) and a logistic function model (LFM) were employed to determine the kinetics of methane-rich bioenergy production from the co-digestion of CRS-BW. A maximum methane yield of 399 ml/gVS was obtained from the co-digestion of CRS-BW when the CRS was pretreated with ultrasound at 100 W for 30 min. The ultrasonic pretreatment broke down the CRS structure and enlarged the accessible surface area, increasing the CRS solubilization and enhancing the methane yield to nearly 1.8 times the yield of the non-ultrasonicated CRS control. Model simulation indicated that the MGM predicted the production of methane more accurately than the LFM, as evidenced by the high correlation coefficient and the high Pearson's correlation between predicted and actual values. This study demonstrated the feasibility of anaerobic co-digestion of CRS and BW, providing a sound basis for cost-efficient and stabilized bioenergy recovery from biomass.

大麻秸秆（CRS）与黑水厌氧消化，产生生物甲烷。在用黑水（BW）进行厌氧消化之前，对CRS进行超声波预处理可以提高甲烷的产生。修改后的Gompertz模型（MGM）和逻辑函数模型（LFM）用于确定CRS-BW共消化过程中富甲烷​​生物能源生产的动力学。当用100 W的超声波对CRS进行30分钟的预处理时，通过共消化CRS-BW可获得的最大甲烷产量为399 ml / gVS。超声预处理破坏了CRS的结构并扩大了可触及的表面积，增加了CRS的增溶作用，并使甲烷收率提高到了非超声CRS对照收率的近1.8倍。模型仿真表明，MGM预测的甲烷生成量比LFM预测的更准确，这由预测值和实际值之间的高相关系数和高Pearson相关性证明。这项研究证明了CRS和BW厌氧共消化的可行性，为从生物质中经济高效地稳定生物能源回收提供了良好的基础。