葛一洪,邱凌,A.A.M.Hassanein,周彦峰,梁勇.马铃薯茎叶与玉米秸秆混合厌氧消化工艺参数优化[J].农业机械学报,2016,47(4):173-179.
Ge Yihong,Qiu Ling,A. A. M. Hassanein,Zhou Yanfeng,Liang Yong.Optimization of Anaerobic Digestion Parameters with Mixed Material of Potato Stem Leaf and Corn Straw[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(4):173-179.
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马铃薯茎叶与玉米秸秆混合厌氧消化工艺参数优化   [下载全文]
Optimization of Anaerobic Digestion Parameters with Mixed Material of Potato Stem Leaf and Corn Straw   [Download Pdf][in English]
投稿时间:2016-01-28  
DOI:10.6041/j.issn.1000-1298.2016.04.023
中文关键词:  马铃薯茎叶  玉米秸秆  厌氧消化  工艺优化
基金项目:国家自然科学基金项目(51576167)
作者单位
葛一洪 西北农林科技大学 
邱凌 西北农林科技大学 
A.A.M.Hassanein 西北农林科技大学
苏伊士运河大学 
周彦峰 西北农林科技大学 
梁勇 西北农林科技大学 
中文摘要:为了探索马铃薯茎叶与玉米秸秆混合厌氧消化产气特性和优化工艺参数,采用二次正交旋转组合设计,研究了物料质量分数、碳氮比和接种物质量分数3个因素对马铃薯茎叶与玉米秸秆混合厌氧消化产气特性及其规律,以总固体产气率为响应值得出二次回归模型和优化工艺参数,并采用Design Expert软件对回归模型进行了优化和降维分析。通过上述试验研究,得到最佳工艺条件为:物料质量分数为9.87%、碳氮比为18.73、接种物质量分数为20.82%,预测总固体产气率为54.55mL/g。3个因素影响主次顺序依次为接种物质量分数、物料质量分数和碳氮比,各因素间交互作用以接种物质量分数与物料质量分数的交互作用最明显。通过验证试验得出,模型预测值与试验值之间相对误差小于5%,方差分析不显著,模型拟合较好。
Ge Yihong  Qiu Ling  A. A. M. Hassanein  Zhou Yanfeng  Liang Yong
Northwest A&F University,Northwest A&F University,Northwest A&F University;Suze Canal University,Northwest A&F University and Northwest A&F University
Key Words:potato stem leaf  corn straw  anaerobic digestion  process optimization
Abstract:According to FAOSTAT 2014, the production of potato is huge in China, which was almost 96.1363Mt/a, accounting for 24.97% of global production, but subsequently lots of potato stem leaves were produced and had not been effectively utilized. At the same time, the corn straw is also a kind of huge reserve of rural biomass energy, of which the production was about 44Mt/a. The potato planting area in China reached 5.647Mhm2. Southwest mountainous area, northwest area, Inner Mongolia and northeast area are the main planting areas of potatoes, of which the cultivated area approximately accounted for 62% of total potato planting area in China. Thus, large-scale biogas project in these areas can be built by using potato stem leaf as a kind of raw material for anaerobic digestion, which is an efficient path for potato stem leaf recycling. Therefore, based on the early single factor experiment, the parameters optimization of anaerobic digestion process which used potato stem leaf mixed with corn straw as raw material was studied. The quadratic regression orthogonal rotational combination design was used to determine the influences of material concentration, carbon and nitrogen ratio and inoculum quality percentage on mesophilic anaerobic digestion of potato stem leaf mixed with corn straw. Through the research, the quadratic regression model was optimized and decrease dimension was analyzed by the software of Design-Expert. The results showed that the optimum conditions were confirmed as material concentration of 9.87%, carbon and nitrogen ratio of 18.73 and inoculum quality percentage of 20.82%. The predicted TS gas production was 54.55mL/g. In addition, the primary sequence of effect of three factors was inoculum quality percentage, material concentration and carbon and nitrogen ratio. Furthermore, the reciprocal action between inoculum quality percentage and material concentration was obvious. During the verification test, the relative error of TS gas production between model calculation value and experimental value was below 5%. The variance analysis was not significant, and the model matched well with the experiment results.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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