摘要
评估了碳毡厌氧折流板反应器在室温下处理黑水(源分离的厕所污水)的能力,通过逐步缩短水力停留时间(HRT)以探索其最大性能.结果表明,在HRT为1.45d,有机负荷率为2.94kg COD/(m^(3)·d)的条件下实现了最大容积产气率(417±59)NL CH4/(m^(3)·d),此时甲烷化率(40.5±5.02)%,总COD去除率(79.08±7.24)%.碳毡的加入富集了Methanospirillum属,通过氢营养型产甲烷途径实现高效厌氧消化性能.该反应器在室温下表现出优良的有机物处理效果,高甲烷产量与沼气纯度,尾水中富含可植物直接利用的氮磷营养盐,系统简单易维护,具有在农村地区实际应用的潜力.
This study assessed the ability of a carbon-felt amended anaerobic baffled reactor to treat blackwater(separately collected toilet wastewater)at ambient temperature,gradually shortening the hydraulic retention time(HRT)to explore its maximum performance.The results showed that under conditions of HRT at 1.45d and an organic loading rate of 2.94kg COD/m^(3)/d,the maximum methane yield achieved was(417±59)NL CH/(m^(3)·d),with a methanization rate of(40.5±5.02)% and a total COD removal rate of(79.08±7.24)%.The addition of carbon felt specifically enriched the genus Methanospirillum,realizing high efficiency through the domination of hydrogenotrophic methanogenesis pathway.This reactor demonstrated excellent organic matter treatment efficiency,high methane yield,and high-quality biogas at room temperature.The effluent contained a larger proportion of nutrients that plants can directly absorb,with the advantage of being simple-to-operate and easy-to-maintain,showing good potential for practical application in rural areas.
作者
温仓祥
戴喆秦
查晓
程方奎
程鹤来
蔡青秀
吕锡武
WEN Cang-xiang;DAI Zhe-qin;ZHA Xiao;CHENG Fang-kui;CHENG He-lai;CAI Qing-xiu;LU Xi-wu(School of Energy and Environment,Southeast University,Nanjing 210096,China;ERC Taihu Lake Water Environment(Wuxi),Southeast University,Wuxi 214135,China;School of Environmental and Chemical Engineering,Jiangsu University of Science and Technology,Zhenjiang 212018,China;School of Environmental Science and Engineering,Suzhou University of Science and Technology,Suzhou 215009,China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2024年第4期2054-2062,共9页
China Environmental Science
基金
江苏省省级生态环境科研项目(2021001)。
关键词
产甲烷
导电材料
农村生活污水
厌氧消化
资源回收
methanogenesis
conductive materials
rural domestic sewage
anaerobic digestion
resource recovery