Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant

Yuanhao Shi, Qiang Li, Jie Wen, Fangshu Cui, Xiaoqiong Pang, Jianfang Jia, Jianchao Zeng and Jingcheng Wang
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Yuanhao Shi: School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China
Qiang Li: School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China
Jie Wen: School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China
Fangshu Cui: School of Data and Computer Technology, North University of China, Taiyuan 03001, China
Xiaoqiong Pang: School of Data and Computer Technology, North University of China, Taiyuan 03001, China
Jianfang Jia: School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China
Jianchao Zeng: School of Data and Computer Technology, North University of China, Taiyuan 03001, China
Jingcheng Wang: Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China

Energies, 2019, vol. 12, issue 15, 1-19

Abstract: Because of the present ineffective method of soot blowing on a boiler’s heating surface in a coal-fired power plant, and to improve the economic benefit of the boiler in the power plant, weigh the improvement of boiler efficiency and steam loss brought by soot blowing, and ensure the safe operation of the unit, an optimization model of soot blowing on the boiler’s heating surface is established. Taking the economizer of the 300 MW coal-fired power plant unit as the research object, the measurement data and basic thermodynamic calculation data of the Distributed Control System (DCS) of the thermal power plant are used to calculate the fouling rate of the heated surface in real time. By analyzing the multi-group fouling rate under the same working conditions, the incremental distribution of the same measuring point at different times is obtained, and the expectation is obtained according to the distribution curve. The state of heating of the heated surface at a time in the future is predicted by the known initial cleaning state. By analyzing the trend of the fouling rate and combining the soot blowing optimization model, a set of soot blowing optimization strategies are proposed. The method proposed in this manuscript can be applied to the guidance of boiler soot blowing operation.

Keywords: boiler heating surface; fouling rate; incremental distribution; predict; soot blowing optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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