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机构地区:[1]浙江科技学院,浙江杭州310023 [2]嘉兴职业技术学院,浙江嘉兴314036 [3]北京万澈环境科学与工程技术有限责任公司,北京100029 [4]河北奇正环境科技有限公司,河北石家庄050000
出 处:《安徽农业科学》2016年第9期81-83,102,共4页Journal of Anhui Agricultural Sciences
基 金:浙江省重点科技创新团队(2013TD12)
摘 要:[目的]研究采用响应面法优化稻草厌氧发酵工艺。[方法]利用中心组合试验设计,考察总固体(TS)含量、发酵温度、尿素添加量对稻草厌氧发酵的影响,采用响应面分析方法对工艺参数进行优化。[结果]根据试验数据建立的二次多项式数学模型极显著,相关系数R^2=0.968 4,说明预测值和试验值之间拟合度较好。通过模型预测得到稻草厌氧发酵产沼气的最优工艺组合为总固体含量6.37%,发酵温度32.64℃,尿素添加量4.28%,预期可能最大单位TS产气率236.60 m L/g,试验值为241.00 m L/g,二者相对偏差为1.82%。[结论]利用响应面法优化稻草厌氧发酵工艺参数可行,可以较好地预测单位TS产气率。[Objective] The aim was to optimize rice straw anaerobic fermentation technology by using response surface methodology. [Method]The effect of total solid content,fermentation temperature and urea concentration on the anaerobic fermentation of rice straw was investigated by Box-Benhnken Design experiment. The process parameters were optimized by response surface methodology( RSM). [Result] The results showed that the quadratic regression mathematics model established according to experimental data had highly significant,in which the correlation coefficient R^2 was 0. 968 4,which illustrated that the predicted value fit the experimental value very well. The optimum process parameters of anaerobic fermentation of rice straw was obtained through the model,which were as follows: the 6. 37% of total solid content,32. 64 ℃ of fermentation temperature,4. 28% of urea concentration,the predicted biogas yield was 236. 60 m L/g,the experimental value was241. 00 m L/g,and the relative deviation was 1. 82%. [Conclusion] It is feasible and reliable that the response surface methodology( RSM)could be used for optimizing the rice straw anaerobic fermentation process,and could well predict the biogas yield.
分 类 号:S216.4[农业科学—农业机械化工程]
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