睡莲、食物垃圾和污泥的沼气生产:基质特性和工艺性能

IF 2.1 4区 环境科学与生态学 Q2 ENGINEERING, CIVIL AQUA-Water Infrastructure Ecosystems and Society Pub Date : 2023-11-13 DOI:10.2166/aqua.2023.242
Mohammad Aasif Khaja, Shagoofta Rasool Shah, Abas Ahmad, Asiya Khursheed, Shiv Malani
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引用次数: 0

摘要

摘要研究了睡莲、食物垃圾和污泥作为厌氧消化产气底物的潜力。结果表明,睡莲的pH值为6.4,总固形物(TS)为18.42%,挥发性固形物(VS)为81.46%,水分含量为87%。食物垃圾的pH值为7.6,TS为27.23%,VS为90.6%,水分含量为75%。污泥pH为6.5,TS为6%,VS为60%,水分含量为95%。不同反应器的沼气产量存在差异。反应器1的累积产量为2,527 mL,而反应器4的累积产量为3,404 mL,具有不同的滞后期。反应器4显示出最高的沼气产量为262 mL/g,消化后测试证实了有效的消化,挥发性脂肪酸范围为140至300 mg/L乙酸,碱度水平为800至1,500 mg CaCO3/L。我们的研究估计了大量的甲烷含量,从1公斤TS中产生94.32升甲烷的潜力。
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Biogas production from water lilies, food waste, and sludge: substrate characterization and process performance
Abstract The potential of water lilies, food waste, and sludge as substrates for biogas production through anaerobic digestion was investigated. We thoroughly characterized these substrates and found that water lilies had a pH of 6.4, total solids (TS) of 18.42%, volatile solids (VS) of 81.46%, and a moisture content of 87%. Food waste exhibited a pH of 7.6, TS at 27.23%, VS at 90.6%, and a moisture content of 75%. Sludge had a pH of 6.5, TS of 6%, VS of 60%, and a moisture content of 95%. Biogas production exhibited variations among the reactors. Reactor 1 reached a cumulative production of 2,527 mL, while Reactor 4 achieved 3,404 mL, with different lag phases. Reactor 4 displayed the highest biogas yield at 262 mL/g VS. Post-digestion tests confirmed efficient digestion, with volatile fatty acids ranging from 140 to 300 mg/L acetic acid and alkalinity levels between 800 and 1,500 mg CaCO3/L. Our study estimated a significant methane content, with the potential to produce 94.32 L of methane from 1 kg of TS.
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
20 weeks
期刊最新文献
Biogas production from water lilies, food waste, and sludge: substrate characterization and process performance How suitable is the gold-labelling method for the quantification of nanoplastics in natural water? Corrigendum: AQUA – Water Infrastructure, Ecosystems and Society 72 (7), 1115–1129: Application of system dynamics model for reservoir performance under future climatic scenarios in Gelevard Dam, Iran, Ali Babolhakami, Mohammad Ali Gholami Sefidkouhi and Alireza Emadi, https://dx.doi.org/10.2166/aqua.2023.193 Exploring the rise of AI-based smart water management systems Unraveling air–water two-phase flow patterns in water pipelines based on multiple signals and convolutional neural networks
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