期刊文献+

内循环流化床生物质气化过程的神经网络模型 被引量:2

BP NEURAL NETWORK SIMULATION OF BIOMASS GASIFICATION IN AN INNER CIRCULATING FLUIDIZED BED
下载PDF
导出
摘要 基于BP人工神经网络原理,利用MATLAB神经网络工具箱,以实验得到的57组气化实验数据作为样本,建立了一个以加料量和送风量为输入变量,以燃气热值、产气率、碳转化率和气化效率为输出变量,用于描述连续稳定气化过程的内循环流化床生物质气化模型。对模型的隐层节点数和训练周期改变对模拟结果的影响进行了分析,发现当隐层节点数为20,训练步骤为50步,模型的4个输出变量的模拟结果与实验结果相关系数均超过0.95;同时对该模型的预测能力进行了考察,模型预测结果与实验结果吻合良好,证明了该模型具有较强的泛化能力,为生物质内循环流化床气化系统的优化设计和自动控制提供新思路。 A three layers back propagation (BP) Neural Network model was built to simulate the biomass gasification process in an inner circulating fluidized bed. Two input variables, i.e. feeding rates, air flow rate, and four output variables, i.e. gas heating value, gas productivity, carbon conversion rate, and gasification efficiency were selected. 57 experimental data were taken as training and checking samples, the effects of nodes of hidden layer and training echoes on simulation results were investigated. The results showed that correlation coefficient of the four output variables between simulation results and experimental data exceeded 0.95, when the nodes of hidden layer were 20 and training echoes was 50. Model-predicted results were in agreement with the experimental data, showing good generalization capacity. This model will be the basis of automatic control of biomass gasification process in fluidized bed.
出处 《太阳能学报》 EI CAS CSCD 北大核心 2007年第12期1354-1359,共6页 Acta Energiae Solaris Sinica
基金 国家高技术研究发展计划(863)项目(2003AA514010) 广东省自然科学基金团队项目(003045) 广东省科技计划项目(2004A11007002)
关键词 生物质气化 内循环流化床 BP神经网络 biomass gasification inner circulating fluidized bed BP neural network
  • 相关文献

参考文献5

二级参考文献18

  • 1Wu Jianzhi,Biomass and Bioenergy,1992年,3卷,2期,105页
  • 2Chen Jinshi,1987年
  • 3李佑楚,化工冶金,1980年,4期,20页
  • 4Guo B,Fuel,1997年,76卷,1159—1164页
  • 5Tsen A Y D,AIChE J,1996年,42卷,455—465页
  • 6RAGNAR WARNECKE. Gasification of biomass:comparison of fixed bed and fluidized bed gasifier[J].Biomass and Bioenergy,2000, (18): 489-497.
  • 7T.R.RAO, J V.RAM, BHEEMARASETTI.Minimum fludization velocities of mixtures of biomass and sands[J].Energy,2001,26: 633-644.
  • 8Keith R.Cummer, Robert C.Broown. Ancillary equipment for biomass gasification [J]. Biomass and Bioenergy,2002, (23): 113-128.
  • 9Cummer Keith R,Broown Robert C.Ancillary equipment for biomass gasification[J].Biomass and Bioenergy,2002,23:113-128.
  • 10张慧平,王彦华,麻德贤,雷承峰.混沌神经网络的起源、发展与应用展望[J].太原理工大学学报,2000,31(5):571-575. 被引量:4

共引文献45

同被引文献21

引证文献2

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部