基于SLMD预测生物质三组分混合成型特性
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摘要
采用单纯形格子混料设计法(SLMD)建立了生物质三组分致密成型性能指标预测模型,并进行了实验验证。结果表明,比能耗和松弛密度回归方程的相关系数均大于0.9998,与实验数据的最大相对误差分别为3.82%和0.5166%。生物质成型过程中三组分对其有一定的交互作用,纤维素比例越高,比能耗越大,松弛密度越小;木质素比例越高,比能耗越小,但比例过高,比能耗有略微上升趋势;半纤维素比例越高,松弛密度越大。用棉花秸秆、毛竹和玉米秸秆进行实验验证,比能耗和松弛密度回归模型的最大相对误差分别为2.64%和1.0342%,表明模型对实际生物质有一定的预测效果。
In order to study the effects of three components of biomass, cellulose, hemicellulose and lignin, on biomass molding characteristics, the simplex lattice mixing design method(SLMD) in the mixing experiment method was used to optimize the mixing of three components of biomass samples with different mixing ratios, the mathematical regression model of biomass compact molding performance index was established, and the mathematical regression model was verified by experiments. The results showed that thecorrelation coefficient of the regression equation of relaxation density and specific energy consumption was more than 0.999 8, biomass forming process was not a simple superposition of a single three component compact forming process, there was a certain interaction between the three components in the process of biomass molding, the higher the content of cellulose, the greater the specific energy consumption and the smaller the relaxation density. The higher the lignin content, the smaller the specific energy consumption, but when the lignin content was too high, the energy consumption had a slight upward trend. The higher the content of hemicellulose, the greater the relaxation density, therefore, in order to make biomass had good molding characteristics, that is, relatively low specific energy consumption and relatively high relaxation density, biomass with less cellulose content and higher hemicellulose and lignin contents should be selected as solid fuel. The experimental verification by using cotton straw, bamboo and corn straw showed that the best biomass species for specific energy consumption prediction was corn stalk, and the best biomass species for relaxation density was bamboo, with relative error of 1.54% and 0.8000%, respectively, and the maximum relative error of the regression model of specific energy consumption and relaxation density was 2.64% and 1.0342%, respectively, which indicated that the model had certain prediction effect on actual biomass.
In order to study the effects of three components of biomass, cellulose, hemicellulose and lignin, on biomass molding characteristics, the simplex lattice mixing design method(SLMD) in the mixing experiment method was used to optimize the mixing of three components of biomass samples with different mixing ratios, the mathematical regression model of biomass compact molding performance index was established, and the mathematical regression model was verified by experiments. The results showed that thecorrelation coefficient of the regression equation of relaxation density and specific energy consumption was more than 0.999 8, biomass forming process was not a simple superposition of a single three component compact forming process, there was a certain interaction between the three components in the process of biomass molding, the higher the content of cellulose, the greater the specific energy consumption and the smaller the relaxation density. The higher the lignin content, the smaller the specific energy consumption, but when the lignin content was too high, the energy consumption had a slight upward trend. The higher the content of hemicellulose, the greater the relaxation density, therefore, in order to make biomass had good molding characteristics, that is, relatively low specific energy consumption and relatively high relaxation density, biomass with less cellulose content and higher hemicellulose and lignin contents should be selected as solid fuel. The experimental verification by using cotton straw, bamboo and corn straw showed that the best biomass species for specific energy consumption prediction was corn stalk, and the best biomass species for relaxation density was bamboo, with relative error of 1.54% and 0.8000%, respectively, and the maximum relative error of the regression model of specific energy consumption and relaxation density was 2.64% and 1.0342%, respectively, which indicated that the model had certain prediction effect on actual biomass.
引文
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[5]Bocci E,Sisinni M,Moneti M,et al.State of art of small scale biomass gasification power systems:a review of the different typologies[J].Energy Procedia,2014,45:247-256.
[6]Mohan D,Pittman C U,Steele P H.Pyrolysis of wood/biomass for bio-oil:a critical review[J].Energy and Fuels,2006,20(3):848-889.
[7]Shaw M D.Feedstock and process variables influencing biomass densification[D].Saskatoon City:Canada University of Saskatchewan,2008:62.
[8]陈啸.基于混料设计的原料成分对颗粒饲料产品成型特性的影响[J].饲料工业,2018,(9):7-13.Chen X.Influence of raw material composition based on mixing design on forming characteristics of pellet feed products[J].Feed Industry,2018,(9):7-13.
[9]樊永胜,蔡忆昔,李小华,等.基于SLMD的生物质热解动力学预测模型[J].农业机械学报,2015,46(5):179-184.Fan Y S,Cai Y X,Li X H,et al.Prediction model of biomass pyrolysis kinetic based on SLMD[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(5):179-184.
[10]杨建杰,张桂香,杨琴,等.不同原料基质栽培平菇的生物学研究[J].西北林学院学报,2016,31(3):170-174.Yang J J,Zhang G X,Yang Q,et al.Biology research of Pleurotus ostreatus cultivated in different raw materials[J].Journal of Northwest Forestry University,2016,31(3):170-174.
[11]Azevedo S,Cunha L M,Mahajan P V,et al.Application of simplex lattice design for development of moisture absorber for oyster mushrooms[J].Procedia Food Science,2011,1:184-189.
[12]Ngun B K,Mohamad H,Katsumata K I,et al.Using design of mixture experiments to optimize triaxial ceramic tile compositions incorporating cambodian clays[J].Applied Clay Science,2014,87(4):97-107.
[13]胡建军,雷廷宙,沈胜强,等.秸秆颗粒冷态压缩成型过程的比能耗回归分析[J].可再生能源,2010,28(1):29-35.Hu J J,Lei T Z,Shen S Q,et al.Regression analysis on specific energy consumption in the pelletizing process of straw[J].Renewable Energy Resources,2010,28(1):29-35.
[14]孙亮,孙清,接鑫,等.稻壳热压成型工艺参数试验[J].农业机械学报,2010,41(1):96-100.Sun L,Sun Q,Jie X,et al.Main technological parameters of rice hull hot briquetting[J].Transactions of the Chinese Society for Agricultural Machinery,2010,41(1):96-100.
[15]赵钟声,刘一星,沈隽.落叶松、杨木热处理材及压缩材热动态力学特性分析[J].东北林业大学学报,2008,36(4):17-19.Zhao Z S,Liu Y X,Shen J.Thermodynamic property of heat treated and compressed larch and poplar wood[J].Journal of Northeast Forestry University,2008,36(4):17-19.