热力发电2019，Vol.48Issue(2)：65-71,89,8.DOI:10.19666/j.rlfd.201804077
基于神经网络的大型轴流风机能耗特性分析
Energy consumption characteristics of large axial flow fan based on neural network
摘要
Abstract
To reduce the energy consumption of thermal power units, the domestic electric power industry starts to try single-side operation of auxiliaries of large-scale thermal power units. On the basis of neural network optimization algorithm, the simulation model of large-scale axial fan of thermal power units was established in this paper and the energy consumption was also analyzed. According to the performance curves and related parameters provided by the manufacturer, the mathematical model of static performance of the large-scale axial fan was built up. Combining with the characteristics of the pipeline corresponding to the actual operation of the wind turbine, the adjustment command-air volume relationship model of the fan under adjustable regulating mode of dynamic blades was established. Moreover, the energy consumption analysis model and efficiency analysis model of the fan were also build up by using the actual operation data of the power plant. On the basis of all the above models, the energy consumption characteristics of the unit with single forced draft fan running and double-fan running were analyzed at low load. The results show that, at low load, when the air volume is lower than a certain critical value, the single-blower operation is more efficient and has lower energy consumption.关键词
低负荷/轴流风机/能耗分析/神经网络/送风机/建模/仿真/能耗Key words
low load/ axial fan/ energy consumption analysis/ neural network/ forced draft fan/ modeling/ simulation/ energy consumption分类
信息技术与安全科学引用本文复制引用
王印松,刘霜,李牡丹,李士哲,郑渭建,陆陆..基于神经网络的大型轴流风机能耗特性分析[J].热力发电,2019,48(2):65-71,89,8.基金项目
中央高校基本科研业务费专项资金资助(9161715008) （9161715008）
中央高校基本科研业务费专项资金资助(2017MS189) （2017MS189）
河北省高等教育教学改革项目(2016GJJG318) （2016GJJG318）
