College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu Province 210031, China.
College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu Province 210031, China.
Bioresour Technol. 2017 Apr;230:24-32. doi: 10.1016/j.biortech.2017.01.025. Epub 2017 Jan 13.
The present study focused on carbon to nitrogen ratio (C/N) and organic loading rate (OLR) optimization of goose manure (GM) and wheat straw (WS). Dealing the anaerobic digestion of poultry manure on industrial scale; the question of optimum C/N (mixing ratio) and OLR (daily feeding concentration) have significant importance still lack in literature. Therefore, Batch and CSTR co-digestion experiments of the GM and WS were carried out at mesophilic condition. The alkali (NaOH) solubilization pretreatment for the WS had greatly enhanced its anaerobic digestibility. The highest methane production was evaluated between the C/N of 20-30 during Batch experimentation while for CSTRs; the second applied OLR of (3g.VS/L.d) was proved as the optimum with maximum methane production capability of 254.65ml/g.VS for reactor B at C/N of 25. The C/N and OLR regression optimization models were developed for their commercial scale usefulness.
本研究侧重于优化鹅粪(GM)和小麦秸秆(WS)的碳氮比(C/N)和有机负荷率(OLR)。在工业规模上处理家禽粪便的厌氧消化,最佳 C/N(混合比)和 OLR(每日进料浓度)的问题仍然缺乏文献记载。因此,在中温条件下进行了 GM 和 WS 的批处理和 CSTR 共消化实验。WS 的碱(NaOH)溶解预处理极大地提高了其厌氧消化性能。在批处理实验中,最高甲烷产量在 C/N 为 20-30 之间评估,而对于 CSTR,第二应用的 OLR(3g.VS/L.d)被证明是最佳的,在 C/N 为 25 时,反应器 B 的最大甲烷产量能力为 254.65ml/g.VS。为了其商业规模的实用性,开发了 C/N 和 OLR 回归优化模型。