| 生物油催化酯化过程中乙酸转化率的智能预测 |
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| 引用本文： | 郑爱军,仲兆平,戴佳佳,王春华. 生物油催化酯化过程中乙酸转化率的智能预测[J]. 西安交通大学学报, 2011, 45(7): 118-122 |
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| 作者姓名： | 郑爱军 仲兆平 戴佳佳 王春华 |
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| 作者单位： | 东南大学能源与环境学院,210096,南京 |
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| 基金项目： | 国家重点基础研究发展规划资助项目(2007CB210208) |
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| 摘 要： | 以生物油乙酸转化率为提质指标,选用固体超强酸SO42-/SiO2-TiO2对生物油催化酯化进行了实验研究.考察了不同的实验条件,即反应温度、酸醇量比、催化剂用量等对酯化反应的影响,在实验的基础上,运用最小二乘支持向量机建立乙酸转化率智能预测模型,并选用自适应粒子群优化算法对最小二乘支持向量机进行了参数优化.实验结果表明,最佳的生物油酯化工况为反应温度80℃、酸醇量比1.6和催化剂用量为7.5%.通过15个检测样本的检验,发现最小二乘支持向量机预测的平均相对误差能够降低到9.7%,其性能优于常用的BP神经网络与RBF神经网络,最小二乘支持向量机法更适合于预测生物油酯化过程中乙酸的转化率.
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| 关 键 词： | 乙酸 催化酯化 最小二乘支持向量机 自适应粒子群优化算法 |
Intelligent Prediction of Conversion Rate of Acetic Acid in Catalytic Esterification Process of Bio-Oil |
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| ZHENG Aijun,ZHONG Zhaoping,DAI Jiajia,WANG Chunhua. Intelligent Prediction of Conversion Rate of Acetic Acid in Catalytic Esterification Process of Bio-Oil[J]. Journal of Xi'an Jiaotong University, 2011, 45(7): 118-122 |
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| Authors: | ZHENG Aijun ZHONG Zhaoping DAI Jiajia WANG Chunhua |
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| Affiliation: | ZHENG Aijun,ZHONG Zhaoping,DAI Jiajia,WANG Chunhua(School of Energy and Environment,Southeast University,Nanjing 210096,China) |
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| Abstract: | Experiments were conducted to study the catalytic esterification of acetic acid which was regarded as the model compound of bio-oil.The solid super-acid,SO42-/SiO2-TiO2,was selected as the catalyst and the conversion rate of acetic acid was viewed as the evaluating indicator.The effects of various factors like temperature,the mass ratio of ethanol to acetic acid,and the catalyst amount were examined.On the basis of experimental data,the least square support vector machine was applied to build a model of the... |
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| Keywords: | acetic acid catalytic esterification least square support vector machine adaptive particle swarm optimization algorithm |
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