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基于模型的农业底物沼气生产厌氧消化预测。

Model-based predictions of anaerobic digestion of agricultural substrates for biogas production.

机构信息

School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.

出版信息

Bioresour Technol. 2011 Dec;102(23):10819-28. doi: 10.1016/j.biortech.2011.09.014. Epub 2011 Sep 8.

DOI:10.1016/j.biortech.2011.09.014
PMID:21974886
Abstract

A modified Anaerobic Digestion Model No. 1 (ADM1), calibrated on a laboratory digester with a feeding mix of 30% weight of cow manure and 70% weight of corn silage, was implemented, showing its performances of simulation as a decision-making and planning-supporting tool for the anaerobic digestion of agricultural substrates. The virtual fermenter obtained was used to conduct simulations with different feeding compositions and loading rates of cow manure, corn silage, grass silage and rape oil. All simulations were started at the same initial state which was represented by a steady state with an organic loading rate of 2.5 kg ODM/(mdigester3∗d). The effects of the different feeding combinations on biogas composition and biogas yield were predicted reasonably, and partly verified with the available literature data. Results demonstrated that the simulations could be helpful for taking decisions on agricultural biogas plant operation or experimental set-ups, if used advisedly.

摘要

采用了经 30%重量的牛粪和 70%重量的玉米青贮饲料混合进料的实验室消化器标定的修正厌氧消化模型 No.1(ADM1),将其作为农业底物厌氧消化的决策和规划支持工具,展示了其模拟性能。利用虚拟发酵罐,对不同的进料成分和牛粪、玉米青贮、草青贮和油菜籽油的加载率进行了模拟。所有模拟均从有机负荷率为 2.5 kg ODM/(mdigester3∗d)的稳定状态开始。不同进料组合对沼气成分和沼气产量的影响得到了合理的预测,并部分验证了现有文献数据。结果表明,如果明智地使用,模拟对于农业沼气厂的运行或实验装置的决策具有一定的帮助。

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