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  • ISSN 1001-5299    CN 11-1874/S   邮发代号:2-141
  • 主办:国家林业和草原局林产工业规划设计院 中国林产工业协会
林产工业
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响应面优化生物质玉米秸秆催化液化工艺研究
以获取高得率的生物质液化油为目的,利用生物质玉米秸秆为原料,液化时间、液化温度、催化剂的量为影响因
素设计Box-Behnken试验,得到试验因素之间的定量数学模型和交互作用对玉米秸秆液化率的影响,采用响应面法确定
玉米秸秆催化液化的最佳工艺条件。结果表明,试验数据建立的二次多项式数学模型显著性极高(P<0.000 1),相关系数
R2=0.953 8,预测值与试验值具有很好的拟合度。当液化时间为63.66 min、液化温度为162.43 ℃和催化剂的量为4.02 %时
为最佳的催化液化条件;在该工艺条件下,玉米秸秆的液化率为98.88 %,预测值为98.87 %,二者相差0.01%;由此得出响
应面法优化玉米秸秆催化液化工艺参数更加精准可靠,具有一定的参考价值。
1. Energy Research Institute Co., Ltd., Henan Academy of Science, Zhengzhou 450008, China
2. Wood Material Science and Engineering Key Laboratory, Beihua University, Jilin Province, Jilin 132013, China
3. Key Biomass Energy Lab of Henan Province, Zhengzhou 450008, China
4. Henan Academy of Science, Zhengzhou 450008, China
Research on Biomass Corn Stalk of Catalytic Liquefaction Process by Response Surface Methodology
In order to get high yield of biomass liquefaction oil, using corn straw as raw material, liquefied#br# duration(LD), liquefaction temperature(LT) and catalyst dosage(CD) as influence factors for design Box-behnken#br# experiment, the quantitative mathematical model of experimental factors and interaction of between factors effect#br# on the liquefaction of corn stalk rate were got, response surface method(RSM) was used to determine the optimum#br# process conditions. The result shows that it was highly significant(P<0.000 1)that the quadratic regression mathematics#br# model established according to experimental data, which the coefficient of correlation is R2=0.953 8. The degree#br# of fitting is provided with between the predicted value and the experimental value. When the LD is 63.66 min,#br# the LT is 162.43 ℃ and the CD is 4.02% for the best catalytic liquefaction conditions; Under the condition of the#br# process, the liquefaction rate of corn straw is 98.88%, while the predictive value is 98.87%, which the relative#br# deviation between them is 0.01%; Therefore, it is concluded that the optimization of the process parameters of#br# corn stalk catalytic liquefaction by the RSM is more precise and reliable, and has a certain reference value.
1.河南省科学院能源研究所有限公司
2.吉林省木质材料科学与工程省重点实验室(北华大学)
3.河南省生物质能源重点实验室
4.河南省科学院