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基于电子流守恒理论的秸秆厌氧发酵产气预测
引用本文:司哺春,张燕生.基于电子流守恒理论的秸秆厌氧发酵产气预测[J].农业工程学报,2013,29(7):170-176.
作者姓名:司哺春  张燕生
作者单位:中国农业大学水利与土木工程学院,北京 100083;中国农业大学水利与土木工程学院,北京 100083
基金项目:国家自然科学基金青年基金(21106080)
摘    要:目前关于厌氧产气的预测仍然较为粗略,该文综合考虑了物料成分及降解性能,微生物的同化异化,氮源,提出了一种基于电子流守恒理论的厌氧发酵产气预测方法。在假设秸秆各组分充分降解的情况下对秸秆厌氧发酵的最大产气量进行预测,并通过参考数据对其进行了验证,结果表明与试验值相比预测值最小误差为0.3%,平均误差10.2%,可以较准确的预测出秸秆厌氧发酵的最大产气量。该文进一步通过此方法对中国主要的3种秸秆的厌氧发酵最大产气量以及在实际工程条件下的秸秆产气量进行了预测。此方法的提出为预测秸秆最大产气量以及秸秆在工程中产气性能提供了参考,计算较为方便,也提高产气预测的准确性。

关 键 词:秸秆,发酵,甲烷,电子流守恒理论
收稿时间:2012/11/22 0:00:00
修稿时间:2013/3/25 0:00:00

Prediction of methane production from straw using thermodynamic electron equivalents model
Si Buchun and Zhang Yansheng.Prediction of methane production from straw using thermodynamic electron equivalents model[J].Transactions of the Chinese Society of Agricultural Engineering,2013,29(7):170-176.
Authors:Si Buchun and Zhang Yansheng
Abstract:Abstract: The prediction of anaerobic digestion methane production is still rough. The Biochemical Methane Potential (BMP) test is one of the most relevant tests for assessing the methane production of waste materials, but it is time consuming. Considering microbial metabolism, nitrogen source, the degradation of the raw materials as well as the operation of the reactor, a prediction model of anaerobic fermentation is proposed. The method is based on the thermodynamic electron equivalents model (TEEM), which was proposed by McCarty. In the TEEM, the electron flow is divided into two fractions: the fraction of electron donor associated with cell synthesis fs and the fraction associated with energy metabolism fe, in the whole biochemical reaction process electron flow will maintain the conservation. Compared with traditional stoichiometry, the model considered cell synthesis and energy metabolism system, is more scientific and reasonable, and is highly useful for determining mass balance and productions of byproducts from the biological reactions. The quantities of different compounds and anaerobic biodegradability are also important information required to characterize waste. Ingredients of straw analysis methods that draw on traditional animal feed science, the ingredients of straw are divided into lignin, crude fiber, crude fat, crude protein, nitrogen-free extract, crude ash.The method is applied to predict straw methane potential. Validated by different kinds of data in literature, the minimum error is 0.3% and the average error is 10.2%, suggesting that the prediction model is accurate. Further, the paper estimated the potential anaerobic gas production as well as projected anaerobic methane production of the main three straws in china. The country's three major straw production methane potential are as following: corn stalks 295ml/gVS, rice straw 283ml/gVS, and wheat straw 293ml/gVS. The prediction values in the actual biogas project methane production ??are: corn stalks 252ml/gVS, rice straw 248 ml / gVS, and wheat straw 239 ml / gVS, for an average of 246 ml / gVS. Basic research about thermodynamic electron equivalents model in this article such as the important parameters fs and fe study, especially in the field of anaerobic fermentation, is relatively low, so further research is needed. There are still some problems with methane production predictions for the actual biogas project; the biogas project methane production performance, also related to digester structural parameters and anaerobic fermentation operating parameters is very complex. Because the paper is based on the assumption that straw maximum degradation rate and assumes that the type of reactor, the calculation result is relatively large, the prediction model requires further validation and refinement. However, this method undoubtedly provides a new way to forecast the material methane production potential and methane production in the biogas project, and is more convenient and accurate.
Keywords:straw  fermentation  methane  thermodynamic electron equivalents mode
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