QQ客服 官方微博 反馈留言

	Modeling and coordinative optimization of NOx emission and efficiency of utility boilers with neural network
	Zhang, Yi ; Ding, Yanjun ; Wu, Zhansong ; Kong, Liang ; Chou, Tao
	2010-05-10 ; 2010-05-10
会议名称	KOREAN JOURNAL OF CHEMICAL ENGINEERING ; 6th Korea-China Workshop on Clean Energy Technology ; Busan, SOUTH KOREA ; Web of Science
关键词	coal combustion efficiency NOx coordinative optimization artificial neural networks genetic algorithm COMBUSTION Chemistry, Multidisciplinary Engineering, Chemical
中文摘要	An empirical model to predict the boiler efficiency and pollutant emissions was developed with artificial neural networks based on the experimental data on a 360 MW W-flame coal fired boiler. The temperature of the furnace was selected as an intermediate variable in the hybrid model so that the predictive precision of NOx emissions was enhanced. The predictive precision of the hybrid model was improved compared with the direct model. Three optimal operational objects were proposed in order to minimize the fuel and environmental costs. Based on the neural network model and optimal objects, a genetic algorithm was employed to seek real-time solution every 30 seconds. Optimum manipulated variables such as excess air, primary air and secondary air were obtained under different optimal objects. The above algorithm interconnected with a distributed control system (DCS) formed the supervisory control and achieved real-time coordinated optimization control of utility boilers.
会议录出版者	KOREAN INST CHEM ENGINEERS ; SEOUL ; #307 REGENT RIVER VIEW OFFICE, 547-8 KUI-DONG SUNGDONG-KU, SEOUL 133-200, SOUTH KOREA
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19668]
专题	清华大学
推荐引用方式 GB/T 7714	Zhang, Yi,Ding, Yanjun,Wu, Zhansong,et al. Modeling and coordinative optimization of NOx emission and efficiency of utility boilers with neural network[C]. 见:KOREAN JOURNAL OF CHEMICAL ENGINEERING, 6th Korea-China Workshop on Clean Energy Technology, Busan, SOUTH KOREA, Web of Science.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。