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Development and Application of the Intelligent Decision System for Entire Process of Coal Blending

[+] Author Affiliations
Gang Chen, Ji Xia, Peng Peng, Tao Yang, Wei Gao

Huazhong University of Science and Technology (HUST), Wuhan, China

Zhuming Yan, Jian Jiang

Guangdong Red Bay Generation Co., Ltd., Shanwei, Guangdong, China

Paper No. POWER2011-55421, pp. 215-220; 6 pages
  • ASME 2011 Power Conference collocated with JSME ICOPE 2011
  • ASME 2011 Power Conference, Volume 1
  • Denver, Colorado, USA, July 12–14, 2011
  • ISBN: 978-0-7918-4459-5
  • Copyright © 2011 by ASME


Blended-coal-firing is an effective method to reduce pollutant emissions and increase boiler efficiency when lack of designed coals. In order to improve the technical level of coal blending, a intelligent decision system of whole coal-utilizing process was developed in this work. For the entire life course of coals in power plant, this system could provide automated decisions for coal stacking, coal blending, taking coal, pulverizing and combustion optimization, and built a platform for information management and coal dispatching.The database and expert system theories were bases of the system, while the optimize blending theory and intelligent multi-objective optimization were the core algorithm. To make the boiler operation safety, economic and environmental was the ultimate goal. During the development of system, a technique of dynamic monitoring of coal bunker and a two-level coal blending optimization method were proposed, which could provide feasible solutions for accurate blending and the entire process tracking of coals. After the completion of system, in December 2009, it was installed and running in the Guangdong Red Bay power plant which equipped 600MW boiler. The software can help improving the efficiency and decision-making level of coal blending work, enhancing the boiler’s full load capacity of stable combustion, and reducing emissions. It has achieved good economic and social benefits until now.

Copyright © 2011 by ASME
Topics: Coal



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