HGA-ANN-Based Optimiztion of Unburned Carbon in Fly Ash from Utility Boiler Influenced by Air Distribution M ode

Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (4): 96-100.

• Power & Electrical Engineering • Previous Articles Next Articles

HGA-ANN-Based Optimiztion of Unburned Carbon in Fly Ash from Utility Boiler Influenced by Air Distribution M ode

Liu Ding-ping Chen Min-sheng Ma Xiao-qian

College of Electric Power,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China

Received:2005-05-11 Online:2006-04-25 Published:2006-04-25
Contact: 刘定平(1965-)，男，副教授，主要从事燃烧优化与控制研究 E-mail:liudingping@126.com
About author:刘定平(1965-)，男，副教授，主要从事燃烧优化与控制研究

Abstract

Abstract:

The content of the unburned carbon in fly ash from utility boiler is modeled by ANN (Artificial Neural Network),and a sensitivity analysis of the effect of secondary air distribution mode on the unburned carbon is car.fled out.Meanwhile,the hybrid genetic algorithm (HGA)and the compound form method are employed to search for the optimum solution to the neural network model.thus obtaining optimized distribution modes of secondary air adapting to various operation conditions.By the simulation of the in.site experimental results of a 300 MW unit.it is finally concluded that the proposed distribution mode of secondary air is feasible and helps to reduce the content of unburned carbon in fly ash.Moreover,the operation standard values of boiler parameters in different oDeration conditions can be determ ined by the proposed method.

Key words: unburned carbon content, secondary air distribution, neural network, hybrid genetic algorithm, sensi-tivity analysis

Liu Ding-ping Chen Min-sheng Ma Xiao-qian. HGA-ANN-Based Optimiztion of Unburned Carbon in Fly Ash from Utility Boiler Influenced by Air Distribution M ode[J]. Journal of South China University of Technology (Natural Science Edition), 2006, 34(4): 96-100.

[1]	FANG Gang, YUAN Longhua, WANG Xiaoming, et al. Soft-Sensor Modeling Method Based on Ensemble Kalman Filter-Elman Neural Network [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(8): 126-136.
[2]	MA Xiaoliang, AN Lingling, DENG Congjian, et al. Translation Optimization Technology of Automatic Speech Recognition Based on Industry-Specific Vocabulary [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(8): 118-125.
[3]	ZHU Zhengyu, LUO Chao, HE Qianhua, et al. Multi-View Lip Motion and Voice Consistency Judgment Based on Lip Reconstruction and Three-Dimensional Coupled CNN [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(5): 70-77.
[4]	YE Feng, CHEN Biao, LAI Yizong. Contrastive Knowledge Distillation Method Based on Feature Space Embedding [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(5): 13-23.
[5]	LIU Yijun, CAO Yu, YE Wujian, et al. Design and Implementation of Hardware Structure for Online Learning of Spiking Neural Networks Based on FPGA Parallel Acceleration [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(5): 104-113.
[6]	LENG Sheng, FU Youwei, MA Wantai, et al. Study on the Morphology Control Technology of Spray Forming Ingot Billets Based on GA-BP Neural Network [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(2): 27-34.
[7]	LIU Zeqing, YANG Xufeng, ZHANG Yi. Estimation of P-S-N Curve of Metal Materials Based on Bayesian Neural Network [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(11): 82-92.
[8]	XU Lunhui, YU Jiaxin, PEI Mingyang, et al. Repositioning Strategy for Ride-Hailing Vehicles Based on Geometric Road Network Structure and Reinforcement Learning [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(10): 99-109.
[9]	LAN Fengchong, ZHANG Yue, CHEN Jiqing, et al. Correlation Analysis and Prediction of Pedestrian Casualty Risk in Car-Pedestrian Collision Accident [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(5): 1-10.
[10]	YANG Chunling YANG Yajing. A Deep Neural Network Based on Layer-by-Layer Fusion of Multi-Scale Features for No-Reference Image Quality Assessment [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(4): 81-89,141.
[11]	FU Xinsha, ZENG Yanjie, MA Li, et al. Weather Recognition of Highway Surveillance Scenes Based on Light-Weight Deep Neural Network [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(3): 1-8.
[12]	QIU Zhibin, LU Zuwen, WANG Haixiang, et al. Recognition of Bird Sounds Related to Power Grid Faults Based on Mel Spectrogram and Convolutional Neural Network [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(2): 129-136.
[13]	DU Qiliang, XIANG Zhaoyi, TIAN Lianfang, et al. Two-Stream Adaptive Attention Graph Convolutional Networks for Action Recognition [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(12): 20-29.
[14]	XING Xiaofen, LI Minsheng, XU Xiangmin . Image Sentiment Transformation Based on Adaptive Brightness Adjustment [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(12): 1-12.
[15]	CAI Xiaodong, ZENG Zhiyang . AFGSRec: A Social Recommendation Model Based on Adaptive Fusion of Global Collaborative Features [J]. Journal of South China University of Technology(Natural Science Edition), 2022, 50(12): 71-79.

HGA-ANN-Based Optimiztion of Unburned Carbon in Fly Ash from Utility Boiler Influenced by Air Distribution M ode

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments