| 变风量系统变机器露点送风温度预测研究 |
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| 引用本文： | 李建维,REN Qing-chang. 变风量系统变机器露点送风温度预测研究[J]. 建筑热能通风空调, 2008, 27(4) |
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| 作者姓名： | 李建维 REN Qing-chang |
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| 作者单位： | 西安建筑科技大学环境学院;西安建筑科技大学信控学院 |
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| 摘 要： | 基于变风量空调系统节能效果好,但存在相对湿度变化范围较大的问题,提出了一种变风量空调系统的变机器露点控制方案,建立了基于Elman神经网络模型的变机器露点送风温度预测方法的仿真系统.仿真结果表明,该方法可以明显提高变风量空调系统相对湿度变化精度,也说明了采用Elman神经网络是一种可靠的变机器露点送风温度预测途径.
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| 关 键 词： | 变风量空调系统 机器露点 风温度 lman 经网络模型 |
Study on Supply Air Temperature Forecast and Changing Machine Dew Point for Variable Air Volume System |
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| LI Jian-wei,REN Qing-chang. Study on Supply Air Temperature Forecast and Changing Machine Dew Point for Variable Air Volume System[J]. Building Energy & Environment, 2008, 27(4) |
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| Authors: | LI Jian-wei REN Qing-chang |
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| Abstract: | To solve the wide change of relatively humidity of Variable Air Volume(VAV) system,which has the advantages of energy saving,a control scheme of changing machine dew point is brought forward,and the simulation system of supply air temperature forecast for changing machine dew point based on Elman Neural Network model is established.The result of simulation shows that this way can improve the precision of relatively humidity and the Elman neural network is a credible forecast way. |
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| Keywords: | lman |
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