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连续批次中固体残留物生物化学甲烷潜力和降解动力学的稳健评估。

Robust assessment of both biochemical methane potential and degradation kinetics of solid residues in successive batches.

机构信息

LBE, INRA, 102 avenue des Etangs, 11100 Narbonne, France; Laboratory of Environmental Bioprocesses, Centre of Biotechnology of Sfax, University of Sfax, Sidi Mansour Road km 6, PO Box «1177», 3018 Sfax, Tunisia.

LBE, INRA, 102 avenue des Etangs, 11100 Narbonne, France.

出版信息

Waste Manag. 2017 Dec;70:59-70. doi: 10.1016/j.wasman.2017.09.001. Epub 2017 Sep 9.

DOI:10.1016/j.wasman.2017.09.001
PMID:28899591
Abstract

The well-known batch assay test is used worldwide to determine the biochemical methane potential (BMP) of solid substrates in a single batch but its use to estimate the degradation kinetics may lead to underestimations. To overcome this problem, a different approach was carried out to characterize simultaneously both BMP of solid substrates and their degradation kinetics in successive batches, i.e. after an acclimation period. In a second step, a simple model was developed based on the methane production curve in batch mode for dividing the organic matter of the substrate into three sub-fractions according to their degradation rates (rapid, moderate and slow). The protocol developed was applied to 50 different substrates and a database was built. This database includes: the overall BMP (mL CH/g VS) and the degradation kinetics for each substrate, i.e. the global specific organic degradation rate (g VS/g VSS.d) along with the 3 sub-fractions and their specific degradation rates. The comparison with the BMP from the literature did not highlight significant difference with the BMP measured in this study. Furthermore, the degradation rates seem to be specific characteristics for each substrate and no clear correlation was found between the degradation kinetics and the kind of substrates. The information available in the database will be useful for the design and operation of anaerobic digesters: Optimization of the mix of co-substrates, choice of the applied OLR, simulation of methane production and of the rate of substrate degradation.

摘要

该方法使用广泛,可在单一批次中测定固体底物的生化甲烷潜能(BMP),但其用于估计降解动力学时可能会导致低估。为了克服这个问题,采用了一种不同的方法,在连续批次中同时对固体底物的 BMP 和其降解动力学进行特征描述,即在适应期后。在第二步中,基于批量模式下的甲烷生成曲线,开发了一种简单的模型,根据其降解率(快速、中等和缓慢)将底物中的有机物分为三个亚组分。开发的方案应用于 50 种不同的底物,并建立了一个数据库。该数据库包含:每个底物的总 BMP(mL CH/g VS)和降解动力学,即全局特定有机降解率(g VS/g VSS.d)以及三个亚组分及其特定降解率。与文献中的 BMP 进行比较,并未发现与本研究中测量的 BMP 有显著差异。此外,降解率似乎是每个底物的特有特征,且未发现降解动力学与底物种类之间存在明显相关性。数据库中的信息将有助于设计和运行厌氧消化池:优化共底物的混合,选择应用的有机负荷率,模拟甲烷生成和底物降解速率。

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