[1]胡爱娟,刘杨,袁清泉,等.基于RBF神经网络生物质半焦产量的预测[J].山东建筑大学学报,2012,(02):238-241.
 HU Ai-juan,LIU Yang,YUAN Qing-quan,et al.Prediction of the yield of biomass semi-coke based on RBF neural network[J].Journal of Shandong jianzhu university,2012,(02):238-241.
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基于RBF神经网络生物质半焦产量的预测()
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《山东建筑大学学报》[ISSN:1673-7644/CN:37-1449/TU]

卷:
期数:
2012年02期
页码:
238-241
栏目:
工程实践
出版日期:
2012-04-30

文章信息/Info

Title:
Prediction of the yield of biomass semi-coke based on RBF neural network
作者:
胡爱娟12刘杨3袁清泉3王桂荣12石硕12
1.山东建筑大学 可再生能源建筑利用技术省部共建教育部重点实验室,山东 济南 250101;2.山东建筑大学 山东省建筑节能技术重点实验室,山东 济南 250101;3.国核电力规划设计研究院,北京 100032
Author(s):
HU Ai-juan12 LIU Yang3 YUAN Qing-quan3 et al.
1. Key Laboratory of Renewable Energy Utilization Technology in Building of National Education Ministry, Shandong Jianzhu University, Jinan 250101, China; 2. Shandong Provincial Key Laboratory of Building Energy-Saving Technology, Shandong Jianzhu University, Jinan 250101, China; 3.State Nuclear Electric Power Planning Design and Research Institute, Beijing 10032, China
关键词:
生物质热重分析RBF神经网络
Keywords:
biomass thermo gravimetric analysis RBF neural network
文献标志码:
A
摘要:
生物质能作为一种可再生的清洁能源,开发利用前景广阔,热解反应是生物质热化学转化中的关键环节。本文分析了糠醛渣和稻壳共热解过程中影响半焦产量的各因素,根据三个主要因素,建立RBF神经网络模型,并应用此模型对半焦产量进行预测。其中,模拟结果的偏差一部分来源于网络和学习样本及影响因子的选取,更多的来源于实验数据。通过误差分析,本文建立的模型具有较好的精度,证明了RBF网络应用于热重分析仪中生物质热解领域的可行性。
Abstract:
Biomass, as a renewable clean energy, has broad development prospects. Pyrolysis is the key step in thermochemical process of the biomass. This paper analyzes the factors which influence the semi-coke yield in the process of furfural residue and rice husk co-pyrolysis and sets up a RBF network model according to the three main factors to predict the yield of biomass semi-coke. The deviation of simulation results derive partly from the network and the learning samples and the selection of impact factors and more derive from experimental data. Through the error analysis, this model has better precision. The prediction results prove the feasibility of the application of RBF to thermo gravimetric pyrolysis of biomass.

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[1]任敏娜,崔永章,李晓,等.八种生物质颗粒燃烧特征分析[J].山东建筑大学学报,2012,(03):298.
 REN Min-na,CUI Yong-zhang,LI Xiao,et al.Analysis of the characteristics of eight kinds of biomass pellet combustion[J].Journal of Shandong jianzhu university,2012,(02):298.
[2]李凯,张林华*,崔永章,等.旋转螺旋扭带管内传热与阻力性能的数值模拟[J].山东建筑大学学报,2013,(02):163.
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更新日期/Last Update: 2012-06-25