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Optimization of the specific methanogenic activity during the anaerobic co-digestion of pig manure and rice straw, using industrial clay residues as inorganic additive

机译:使用工业粘土残渣作为无机添加剂优化猪粪和稻草厌氧共消化过程中的比甲烷生成活性

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摘要

The effect of pig manure, rice straw and clay residue concentrations, as well as their interactive effects on specific methanogenic activity (SMA) at mesophilic and thermophilic conditions were investigated in this work. A central composite design and the response surface methodology (RSM) were applied for designing the anaerobic co-digestion experiments, in order to optimize conditions to enhance methane production. The results showed a significant interaction among the substrates and an enhancement of the methane production and SMA response caused by the three components. The clay residues had a positive effect to reduce the inhibition of SMA caused by high concentration of pig manure due to the ammonia nitrogen adsorbent properties of clay demonstrated in this study by the Freundlich isotherm analysis. Thus, it was corroborated the positive effect of clay as inorganic additive for stimulating pig manure anaerobic digestion. The optimum condition for mesophilic anaerobic co-digestion of pig manure, rice straw and clay mixture was obtained for SMA values of 1.31 and 1.38 gCH4-COD gVSS~(-1) d~(-1) at mesophilic and thermophilic conditions, respectively. The optimization of the SMA using RSM made possible to identify the substrate interaction effects in a concentration range with a reduced number of experiments. Besides, the model validation proved to be useful for defining optimal combination of wastes considering their anaerobic co-digestion. SMA was also a good response variable for that purpose.
机译:在这项工作中,研究了猪粪,稻草和粘土残留浓度的影响,以及它们在嗜温和嗜热条件下对比甲烷生成活性(SMA)的相互作用。中央复合设计和响应面方法(RSM)被用于设计厌氧共消化实验,以优化条件以提高甲烷产量。结果表明,底物之间存在显着的相互作用,并且由这三种组分引起的甲烷生成和SMA反应的增强。弗雷德利希等温线分析表明,由于粘土的氨氮吸附特性,粘土残留物对减少由高浓度猪粪引起的SMA的抑制具有积极作用。因此,证实了粘土作为无机添加剂刺激猪粪厌氧消化的积极作用。获得了猪粪,稻草和粘土混合物的中温厌氧共消化的最佳条件,在中温和嗜热条件下,SMA值分别为1.31和1.38 gCH4-COD gVSS〜(-1)d〜(-1)。使用RSM对SMA进行优化可以减少实验次数,从而确定浓度范围内的底物相互作用。此外,模型验证被证明对于考虑废物厌氧消化的废物的最佳组合是有用的。为此,SMA还是一个很好的响应变量。

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