| 基于遗传算法的燃煤锅炉NOx排放控制 |
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| 引用本文： | 陈耀龙.基于遗传算法的燃煤锅炉NOx排放控制[J].应用能源技术,2011(10):10-15. |
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| 作者姓名： | 陈耀龙 |
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| 作者单位： | 国核电力规划设计研究院,北京,100094 |
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| 摘 要： | 文中在分析锅炉NOx排放物生成机制、影响因素及其控制方式和锅炉效率影响因素的基础上，结合锅炉燃烧特性试验，建立了锅炉排烟温度、飞灰含碳量和NOx排放的改进型的Elman动态神经网络预测模型，这种改进型的Elman动态网络结构简单、计算量小、容易收敛且易实现在线辨识。并利用预测模型输出的锅炉排烟温度和飞灰含碳量，通过简化的锅炉损失计算模型得到锅炉排烟损失和未完全燃烧损失，这两项损失和预测模型输出的NOx排放构造了锅炉优化燃烧寻优的目标函数。利用遗传算法的寻优特性搜索锅炉可调参数的最优值，指导运行人员在高效燃烧低NOx排放的基础上优化运行。
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| 关 键 词： | 遗传算法 燃烧特性 NOx排放 Elman网络 预测模型 寻优 |
Genetic Algorithm Based on the NOx Emission of Coal-fired Boiler Control |
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| CHEN Yao-long.Genetic Algorithm Based on the NOx Emission of Coal-fired Boiler Control[J].Applied Energy Technology,2011(10):10-15. |
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| Authors: | CHEN Yao-long |
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| Affiliation: | CHEN Yao-long(China Nuclear Power Planning and Design Institute,Beijing 100094,China) |
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| Abstract: | Based on the analysis of boiler NOx emissions generated mechanism,influence factors and control means and the boiler efficiency based on the factors that influence the boiler combustion characteristics,combined with the test,to establish a boiler smoke temperature,carbon content in fly ash and NOx emissions of the improved Elman neural network prediction model.The improved Elman dynamic network has the advantages of simple structure,small amount of calculation,easy convergence and easy to realize on-line id... |
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| Keywords: | Genetic algorithm Combustion characteristics NOx emission Prediction model Optimization |
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