Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant
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...
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MDPI AG
2019-07-01
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Online Access: | https://www.mdpi.com/1996-1073/12/15/2901 |
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author | Yuanhao Shi Qiang Li Jie Wen Fangshu Cui Xiaoqiong Pang Jianfang Jia Jianchao Zeng Jingcheng Wang |
author_facet | Yuanhao Shi Qiang Li Jie Wen Fangshu Cui Xiaoqiong Pang Jianfang Jia Jianchao Zeng Jingcheng Wang |
author_sort | Yuanhao Shi |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-11T20:53:32Z |
format | Article |
id | doaj.art-392a3cbb60a24eeba7d7f334275514fe |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-11T20:53:32Z |
publishDate | 2019-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-392a3cbb60a24eeba7d7f334275514fe2022-12-22T04:03:45ZengMDPI AGEnergies1996-10732019-07-011215290110.3390/en12152901en12152901Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power PlantYuanhao Shi0Qiang Li1Jie Wen2Fangshu Cui3Xiaoqiong Pang4Jianfang Jia5Jianchao Zeng6Jingcheng Wang7School of Electrical and Control Engineering, North University of China, Taiyuan 030051, ChinaSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, ChinaSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, ChinaSchool of Data and Computer Technology, North University of China, Taiyuan 03001, ChinaSchool of Data and Computer Technology, North University of China, Taiyuan 03001, ChinaSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, ChinaSchool of Data and Computer Technology, North University of China, Taiyuan 03001, ChinaDepartment of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, ChinaBecause 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.https://www.mdpi.com/1996-1073/12/15/2901boiler heating surfacefouling rateincremental distributionpredictsoot blowing optimization |
spellingShingle | Yuanhao Shi Qiang Li Jie Wen Fangshu Cui Xiaoqiong Pang Jianfang Jia Jianchao Zeng Jingcheng Wang Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant Energies boiler heating surface fouling rate incremental distribution predict soot blowing optimization |
title | Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant |
title_full | Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant |
title_fullStr | Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant |
title_full_unstemmed | Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant |
title_short | Soot Blowing Optimization for Frequency in Economizers to Improve Boiler Performance in Coal-Fired Power Plant |
title_sort | soot blowing optimization for frequency in economizers to improve boiler performance in coal fired power plant |
topic | boiler heating surface fouling rate incremental distribution predict soot blowing optimization |
url | https://www.mdpi.com/1996-1073/12/15/2901 |
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