| 燃气溴化锂吸收式制冷机运行的模拟及优化 |
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| 引用本文： | 王长庆,贾捷燕. 燃气溴化锂吸收式制冷机运行的模拟及优化[J]. 同济大学学报(自然科学版), 2007, 35(4): 526-530 |
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| 作者姓名： | 王长庆 贾捷燕 |
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| 作者单位： | 同济大学楼宇设备工程与管理系,上海,200092 |
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| 摘 要： | 结合实际的测试数据，利用神经网络反向传播网络BP算法，辨识出机组的系统模型，对机组的运行特性进行分析，并采用同样的方法对机组的运行费用进行建模和优化．研究结果表明，采用人工神经网络能很好地解决溴化锂机组的建模问题，并可根据模型对机组的运行特性进行分析．
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| 关 键 词： | 燃气吸收式制冷机 神经网络 运行模拟 优化 |
| 文章编号： | 0253-374X（2007）04-526-05 |
| 修稿时间： | 2005-08-19 |
Operation Simulation and Optimizing of Gas Fired Lithium Bromide Absorption Chiller |
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| WANG Changqing,JIA Jieyan. Operation Simulation and Optimizing of Gas Fired Lithium Bromide Absorption Chiller[J]. Journal of Tongji University(Natural Science), 2007, 35(4): 526-530 |
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| Authors: | WANG Changqing JIA Jieyan |
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| Affiliation: | Deptartment of Building Facilities Engineexing and Management, Tongji University, Shanghai 200092, China |
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| Abstract: | An identification system model is established by using conversed feedback network BP algorithm on the basis of the actual testing data. And the operation performance of gas-fired absorption chiller is analyzed in the same way. The research results indicate that the neural network is a good modeling method for absorption chiller and analysis of its operation performance. |
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| Keywords: | gas absorption chiller neural network operation simulation optimizing |
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