干秸秆、鲜豆秆混合厌氧发酵条件优化设计  

Optimization design of anaerobic fermentation with mixed materials of bean stalk and rice straw

作　　者：邓媛方[1,2] 许家兴[1,2] 刘晓燕[1,2] 戴本林[1,2] 徐继明[1,2] 

机构地区：[1]淮阴师范学院江苏省生物质能与酶技术重点实验室,江苏淮安223300 [2]淮阴师范学院江苏省区域现代农业与环境保护协同创新中心,江苏淮安223300

出　　处：《河北大学学报（自然科学版）》2016年第1期58-64,共7页Journal of Hebei University(Natural Science Edition)

基　　金：国家自然科学基金青年科学基金资助项目(21406083);江苏省生物质能与酶技术重点实验室资助项目(JSBEET1211)

摘　　要：以鲜豆秆和风干稻秸作为发酵原料,在前期单因素实验基础上,采用3因素5水平二次回归正交旋转组合设计,以累计沼气产量作为响应值,探讨温度、干鲜比(鲜豆秆与风干稻秸干物质的质量比)、接种物质量分数3因素对沼气产量的影响,并建立数学模型,进行模型拟合,确定最佳条件.结果表明:二次项模型拟合效果最佳,3因素对干鲜秸秆混合厌氧发酵产气量影响的大小依次为接种物质量分数、温度、干鲜比.最佳工艺条件为温度28.97℃,干鲜比2.23∶1,接种物质量分数30.11%,预测TS产气率279.789 L/kg.模型预测值与验证实验值之间相对偏差为0.23%(F<0.01),差异不显著,该多元回归模型拟合较好,为提高干鲜秸秆混合厌氧发酵产气效率提供理论参考.This experiment use fresh bean stalk and natural withering rice straw as fermentation mate- rials. On the basis of earlier single factor test,three factors five levels quadratic regression orthogonal rota- ting combination design was adopted in this study,and only the accumulative gas production was involved in the response value. Effects of three factors on anaerobic fermentation were analyzed, including the envi- ronment of anaerobic fermentation temperature, dry-fresh TS ratio,inoculation percentage and the mathe- matical model for anaerobic mixed fermentation of bean stalk and rice straw was developed. The regression equation was optimized and analyzed when the optimum conditions and interactive effects were exposed. The results showed that the quadratic model had the optimal fitting data. The sequence of factors effecting anaerobic fermentation was inoculation percentage, the environment of anaerobic fermentation temperature and dry-fresh TS ratio. The optimum conditions for dry-fresh mixed-fermentation were determined as fol- lows：the temperature was 28.97 ℃,dry-fresh TS ratio of fresh bean stalk and rice straw was 2.23 ： 1 ,in- oculation percentage was 30.11% and prediction value of TS production rate was 279. 789 L/kg. Through testing with related experimental data, the relative deviation of biogas production between experiment measurement and model prediction was 0.23 G （F〈0.01）, which proved the multiple regression model had high fitting degree and applicability. This study could provide certain theory reference for materials anaero- bic digestion of mixed straw material.

关 键 词：沼气 秸秆 厌氧发酵 模型优化 

分 类 号：X712[环境科学与工程—环境工程]