| 双循环流化床颗粒循环流率试验与BP神经网络预测 |
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| 引用本文： | 陈鸿伟,刘焕志,李晓伟,高建强,危日光,史洋. 双循环流化床颗粒循环流率试验与BP神经网络预测[J]. 中国电机工程学报, 2010, 0(32) |
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| 作者姓名： | 陈鸿伟 刘焕志 李晓伟 高建强 危日光 史洋 |
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| 作者单位： | 电站设备状态监测与控制教育部重点实验室(华北电力大学); |
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| 基金项目： | 国家自然科学基金项目(50876030); 高校博士点基金项目(20090036110008)~~ |
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| 摘 要： | 双循环流化床生物质气化装置稳定运行的关键是合理控制颗粒循环流率。在双循环流化床冷态试验台上就鼓泡床风速、提升管风速、静床高和物料平均粒径几方面因素对颗粒循环流率的影响进行了系统的试验研究,并建立了加入动量的BP神经网络预测模型,对双循环流化床颗粒循环流率进行了有效模拟并得到了预测结果。定义了平均偏离度来评价模型预测值相对于试验值的平均偏离情况,通过对比分析试验数据与神经网络模型预测值,表明测试样本神经网络模型预测值相对于试验值偏差不超过0.8 kg·m-2·s-1,相对误差在±8%以内,平均偏离度仅为3.56%。结果表明建立的神经网络模型具有较好的预测效果。
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| 关 键 词： | 双循环流化床 提升管 鼓泡床 颗粒循环流率 BP神经网络 |
Experimental Research on Solids Circulation Rate in a Double Fluidized Bed and BP Neural Network Prediction |
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| CHEN Hongwei,LIU Huanzhi,LI Xiaowei,GAO Jianqiang,WEI Riguang,SHI Yang,Ministry of Education,Baoding ,Hebei Province,China). Experimental Research on Solids Circulation Rate in a Double Fluidized Bed and BP Neural Network Prediction[J]. Proceedings of the CSEE, 2010, 0(32) |
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| Authors: | CHEN Hongwei LIU Huanzhi LI Xiaowei GAO Jianqiang WEI Riguang SHI Yang Ministry of Education Baoding Hebei Province China) |
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| Affiliation: | CHEN Hongwei,LIU Huanzhi,LI Xiaowei,GAO Jianqiang,WEI Riguang,SHI Yang(Key Laboratory of Condition Monitoring and Control for Power Plant Equipment(North China Electric Power University),Ministry of Education,Baoding 071003,Hebei Province,China) |
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| Abstract: | The key to keep the double fluidized bed running steadily for the use of gasifying biomass is to make sure the control of solids circulation rate is appropriate.This paper made a systematic test on the double fluidized bed cold bench.It was mainly about the effect of several factors concerning gas velocity in the bubbling fluidized bed and riser,static bed height and particle size on the solids circulation rate and also established BP neural network with momentum added which gives an efficient simulation in... |
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| Keywords: | double fluidized bed riser bubbling fluidized bed solid circulation rate BP neural network |
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