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基于原料组分的能源草厌氧发酵产气预测模型
Alternative TitleThe Methane Yield Forecasting Model of Energy Crops inAnaerobic Digestion Based on Feedstock Components
胡克勤1; 李连华1; 孙永明1; 孔晓英1; 张毅1,2; 袁振宏1
2016
Source Publication新能源进展
Issue2Pages:100-104
Cooperation Status国内
AbstractThe forecasting model of energy crops in anaerobic digestion was established based on feedstock component byusing linear regression method. Taking brazil pennisetum purpureum, south pennisetum purpureum, dwarf pennisetumpurpureum, Taiwan pasturage B and s
Subtype期刊
Other Abstract基于原料的组分,运用线性回归的方法建立能源草厌氧发酵产气预测模型.以巴西象草、华南象草、矮象草、台牧B 和七种不同月份收割的杂交狼尾草为样本,以组分C 含量、N 含量、C/N、纤维素含量、半纤维素含量以及木质素含量为自变量,以该能源草的累计产气率为因变量.一元线性分析结果显示,C 元素含量、半纤维素含量和累积产气率之间的显著相关性较弱(R2 = 0.02,R2 = 0.03);C/N、纤维素含量与产气率之间有一定的显著相关性(R2 = 0.37,R2 = 0.313);N 元素含量、木质纤维素含量和产气率
Keyword能源草 厌氧发酵 线性回归分析 产气预测模型
Language中文
Funding Organization国家高技术研究发展计划(863计划)(2010AA101802);农业科技成果转化资金项目(2014GB2E000034)
Document Type期刊论文
Identifierhttp://ir.giec.ac.cn/handle/344007/16072
Collection中国科学院广州能源研究所
Affiliation1.中国科学院广州能源研究所,中国科学院可再生能源重点实验室,广州 510640
2.中国科学院大学,北京100049
First Author AffilicationGuangZhou Institute of Energy Conversion,Chinese Academy of Sciences
Recommended Citation
GB/T 7714
胡克勤,李连华,孙永明,等. 基于原料组分的能源草厌氧发酵产气预测模型[J]. 新能源进展,2016(2):100-104.
APA 胡克勤,李连华,孙永明,孔晓英,张毅,&袁振宏.(2016).基于原料组分的能源草厌氧发酵产气预测模型.新能源进展(2),100-104.
MLA 胡克勤,et al."基于原料组分的能源草厌氧发酵产气预测模型".新能源进展 .2(2016):100-104.
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