Department of Civil Engineering, National Institute of Technology Warangal, Quebec City, QC, Canada.
Department of Civil Engineering, National Institute of Technology Warangal, Quebec City, QC, Canada.
Chemosphere. 2024 Apr;353:141558. doi: 10.1016/j.chemosphere.2024.141558. Epub 2024 Feb 26.
This study performed bench scale studies on anaerobic co-digestion of cheese whey and septage mixed with biochar (BC) as additive at various dosages (0.5 g, 1 g, 2 g and 4 g) and total solids (TS) concentrations (5%, 7.5%, 10%,12.5% and 15%). The experimental results revealed 29.58% increase in methane yield (486 ± 11.32 mL/gVS) with 27% reduction in lag phase time at 10% TS concentration and 50 g/L of BC loading. The mechanistic investigations revealed that BC improved process stability by virtue of its robust buffering capacity and mitigated ammonia inhibition. Statistical analysis indicates BC dosage had a more pronounced effect (P < 0.0001) compared to the impact of TS concentrations. Additionally, the results were modelled using Gompertz model (GM) and artificial neural network (ANN) algorithm, which revealed the outperformance of ANN over GM with MSE 17.96, R value 0.9942 and error 0.27%. These findings validated the practicality of utilizing a high dosage of BC in semi-solid anaerobic digestion conditions.
本研究在中试规模下进行了奶酪乳清和粪渣的厌氧共消化实验，以生物炭（BC）作为添加剂，添加量分别为 0.5g、1g、2g 和 4g，总固体（TS）浓度分别为 5%、7.5%、10%、12.5%和 15%。实验结果表明，在 10%TS 浓度和 50g/L BC 负荷下，甲烷产量增加了 29.58%（486±11.32mL/gVS），迟滞期时间缩短了 27%。机理研究表明，BC 通过其强大的缓冲能力提高了工艺稳定性，减轻了氨抑制。统计分析表明，与 TS 浓度的影响相比，BC 剂量的影响更为显著（P<0.0001）。此外，使用 Gompertz 模型（GM）和人工神经网络（ANN）算法对结果进行建模，结果表明 ANN 优于 GM，MSE 为 17.96，R 值为 0.9942，误差为 0.27%。这些发现验证了在半固态厌氧消化条件下使用高剂量 BC 的实用性。
