禽粪与麦秸协同厌氧发酵体系的需求导向产沼气性能及模型预测
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X712

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国家自然科学基金(21808003);四川省科技计划项目(国际合作计划)(2019YFH0058);安徽省自然科学基金(2008085ME176)


Study on the Demand-oriented Biogas Production Characteristics and Model Prediction by Co-digestion of Livestock Manure and Wheat Straw
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National Natural Science Foundation of China (21808003);Sichuan Provincial Key Technology Support (no. 2019YFH0058);Natural Science Foundation of Science and Technology Department of Anhui Province (2008085ME176).

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    摘要:

    通过改变传统的连续型沼气生产转向需求导向的灵活产气可以实现平抑风光等间歇式新能源的波动,从而维持新能源体系的稳定。然而作为典型农业废弃物的禽粪与麦秸,其作为发酵底物时是否可以通过进料管理方式实现按需产沼气未见研究。为此,本文模拟按需产气的投料模式,研究了不同投料负荷、频次与投料间隔时间等条件下,沼气产气速率与产气量等的响应关系,基于此构建沼气产气响应的预测模型。结果表明:低进料有机负荷(1.5 kg?VS?m-3?d-1)、2次/d频率、10 h时间间隔情景下发酵系统不存在明显的沼气延滞期,沼气产气响应速率较高,并且pH、FOS/TAC、VS/TS、NH3-N等参数波动均处于合理区间。进料负荷增大至3 kg?VS?m-3?d-1时,产气延滞期增大,但是体系在10 h时间间隔下发酵稳定性参数波动不大,此时系统仍可正常运行。进一步增加进料负荷至6 kg?VS?m-3?d-1时,沼气中甲烷含量跌至30%左右,产气响应明显变慢,说明该情景已不利于后续沼气的利用,此时限速步骤是高进料负荷时麦秸与禽粪底物中木质纤维素的水解反应。基于实验结果,构建了修正的Gompertz-BP神经网络混合模型以预测沼气产出的响应,并验证了其预测的准确性。研究结果表明,禽粪与麦秸作为底物进行协同厌氧发酵,在低进料负荷时辅以适当的控制手段可以实现按需产沼气。

    Abstract:

    By changing the traditional continuous biogas production to demand-oriented flexible biogas production, the fluctuation of intermittent renewable power can be balanced, thus maintaining the stability of the distributed energy system. However, whether livestock manure and wheat straw, which are typical agricultural wastes, can be used as fermentation substrates to produce biogas on demand through feeding scheme management has not been studied. For this purpose, experiments were carried out to simulate the feeding scheme of demand oriented biogas production, and the corresponding response characteristics of biogas production, as well as the anaerobic reaction stability under different feeding control parameters were investigated. On this basis, a prediction model for biogas production response under demand oriented operation was constructed. The feeding organic loading rate, frequency and feeding interval feeding control parameters were selected as the typical feeding control parameters. Results show that no obvious biogas delay periods arise under the low feeding OLR scenario (1.5 kg VS m-3 d-1) with the feeding frequency twice per day and 10 h interval, and the biogas production response rates are relatively high with the fluctuations of stability parameters (e.g., pH、FOS/TAC、VS/TS、NH3-N) fluctuate within the reasonable range. The biogas production delay period increases when the feeding OLR increases to 3 kg VS m-3 d-1, while the fermentation stability parameters fluctuate slightly in 10 h interval scenario, which states that the operation is still feasible. When the feeding OLR further increases to 6 kg VS m-3 d-1, the methane content in biogas drops to about 30%, and the biogas production response slows down obviously. In this scenario, the speed limiting step is the hydrolysis of wheat straw and lignocellulose in manure substrates, which indicates that produced biogas is not beneficial for following utilization under high OLR. Based on the experimental results, the modified Gompertz-BP neural network hybrid model was further constructed to realize the model prediction of the biogas production’s response under the demand oriented operations. The results of the study show that on-demand biogas production can be achieved by co-digestion of poultry manure with wheat straw as the substrates, which supplemented by appropriate controls at low feed loads.

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刘轶鋆,黄晶晶,黄涛,等. 禽粪与麦秸协同厌氧发酵体系的需求导向产沼气性能及模型预测[J]. 科学技术与工程, 2022, 22(32): 14527-14536.
Liu Yiyun, Huang Jingjing, Huang Tao, et al. Study on the Demand-oriented Biogas Production Characteristics and Model Prediction by Co-digestion of Livestock Manure and Wheat Straw[J]. Science Technology and Engineering,2022,22(32):14527-14536.

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  • 收稿日期:2022-01-17
  • 最后修改日期:2022-08-06
  • 录用日期:2022-06-01
  • 在线发布日期: 2022-12-05
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