| 电站锅炉低NOx排放的参数辨识 |
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| 引用本文： | 梁森,李凌.电站锅炉低NOx排放的参数辨识[J].动力工程,2006,26(5):670-675. |
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| 作者姓名： | 梁森 李凌 |
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| 作者单位： | 1. 上海电机学院,电气工程系,上海,200240
2. 上海理工大学,动力工程学院,上海,200093 |
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| 摘 要： | 阐述了参数辨识和神经网络的基本概念，针对某电厂600MW机组锅炉NOx排放状况，收集了大量有关锅炉运行参数、NOx排放量和锅炉效率等数据，建立了相应的数学模型，运用人工神经网络智能参数辨识方法，研究得出了NOx排放量与各运行参数以及锅炉效率的定量关系，为进一步提高锅炉运行的经济性，实现优化控制及低NOx排放提供了一种便捷的方法。图6表2参3
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| 关 键 词： | 自动控制技术 燃煤锅炉 参数辨识 人工神经网络 建模 |
| 文章编号： | 1000-6761（2006）05-670-06 |
| 收稿时间： | 2006-02-20 |
| 修稿时间： | 2006-02-20 |
Parametric Identification of Low NOx Emitted by Power Station Boilers |
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| LIANG Sen,LI Ling.Parametric Identification of Low NOx Emitted by Power Station Boilers[J].Power Engineering,2006,26(5):670-675. |
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| Authors: | LIANG Sen LI Ling |
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| Affiliation: | 1. Department of Electrical Engineering, College of Electric Machinery, Shanghai 200240, China; 2. College of Power Engineering, Shanghai University of Science and Technology, Shanghai 200093, China |
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| Abstract: | The basic concepts concerning parametric identification and neural networks is being elucidated;with NO_x emission conditions of a power plant's 600MW boiler as the object of study,a large amount of data concerning the boiler's operational parameters,NO_x emission and boiler efficiency have been recorded,with which relevant mathematical models are set up and,applying identification methods by artificial neural networks,the quantitative relationship between NO_x emission and operational parameters and boiler efficiency as well are obtained.Herewith a facile way of raising the boiler's operational profitability,optimizing control and reducing NO_x emission has been provided.Figs 6,tables 2 and refs 3. |
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| Keywords: | automatic control technique coal fired boiler parametric identification artificial neural network modeling |
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