Off-Design Load Characteristics of Consumption-Deviation Coefficient for 300MW Circulating Fluidized Bed Coal-Fired Unit

2014 ◽  
Vol 529 ◽  
pp. 267-271
Author(s):  
Guang Hui Wu ◽  
You Sheng Lin ◽  
Zhao Sheng Yu ◽  
Xiao Qian Ma

The optimization target system of a 300MW circulating fluidized bed coal-fired unit was established by using the method of K-Means clustering algorithm to determine the variable condition calculated benchmark value point. This method was proved to be effective, and the results supply a new idea and effective method for determining benchmark values models. The off-design load characteristics of consumption-deviation coefficient mainly have three trends, and the condenser vacuum, relative internal efficiency of steam turbine and oxygen content in exhaust gas were the primary influencing parameters of energy-loss analysis. Through energy-loss analysis method, providing an accurate and effective guidance for the management and saving energy, and it has a good economic advantages and promoting significance.

Author(s):  
Jianzhong Shi

Bed temperature in dense-phase zone is the key parameter of circulating fluidized bed (CFB) boiler for stable combustion and economic operation. It is difficult to establish an accurate bed temperature model as the complexity of circulating fluidized bed combustion system. T-S fuzzy model was widely applied in the system identification for it can approximate complex nonlinear system with high accuracy. Fuzzy c-regression model (FCRM) clustering based on hyper-plane-shaped distance has the advantages in describing T-S fuzzy model, and Gaussian function was adapted in antecedent membership function of T-S fuzzy model. However, Gaussian fuzzy membership function was more suitable for clustering algorithm using point to point distance, such as fuzzy c-means (FCM). In this paper, a hyper-plane-shaped FCRM clustering algorithm for T-S fuzzy model identification algorithm is proposed. The antecedent membership function of proposed identification algorithm is defined by a hyper-plane-shaped membership function and an improved fuzzy partition method is applied. To illustrate the efficiency of the proposed identification algorithm, the algorithm is applied in four nonlinear systems which shows higher identification accuracy and simplified identification process. At last, the algorithm is used in a circulating fluidized bed boiler bed temperature identification process, and gets better identification result.


2008 ◽  
Vol 39 (1) ◽  
pp. 65-78
Author(s):  
Yu. S. Teplitskii ◽  
V. A. Borodulya ◽  
V. I. Kovenskii ◽  
E. P. Nogotov

2019 ◽  
Vol 118 ◽  
pp. 02011
Author(s):  
Su Pan ◽  
Yu Pengfeng ◽  
Linbo Liu ◽  
Han Jing ◽  
Xiao Shen

The coal as fired, with unidentified characteristics of the coal gangue, was burned on a 300MW circulating fluidized bed unit. The equipment of the coal conveying system was damaged and the boiler operation was unstable. In response to the problems, the coal quality data and storage conditions of the coal were examined and the site was spot-checked to evaluate the coal quality characteristics. At the same time, the typical representative parameters of the coal handling system and boiler operation were selected. According to the analysis of coal quality and coal storage, the coal quality fluctuates greatly and the uniformity of particle size distribution is poor. There is actually the coal gangue with hard texture and hard to grind in the coal pile. The coal gangue will have adverse effects on the fine screening machine, fine crusher and other equipment. After burned this type of coal, the fluidized quality of the boiler bed is degraded to make an impact on the safe and stable operation of the boiler. It is recommended that the coal should be screened and then burned into the furnace to ensure safe and stable operation of the boiler.


Fuel ◽  
2021 ◽  
Vol 298 ◽  
pp. 120842
Author(s):  
Yuan Xiao ◽  
Guoliang Song ◽  
Xueting Yang ◽  
Zengcai Ji ◽  
Chao Wang ◽  
...  

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