复杂煤质下锅炉燃烧精细化运行技术

doi:10.11930/j.issn.1004-9649.201806167

中国电力 ›› 2018, Vol. 51 ›› Issue (9): 39-45.DOI: 10.11930/j.issn.1004-9649.201806167

复杂煤质下锅炉燃烧精细化运行技术

黄孝彬¹, 田宏伟², 王煜伟², 丁永三²

1. 华北电力大学, 北京 102206;
2. 国家能源集团江苏谏壁电厂, 江苏镇江 212000

收稿日期:2018-06-28 出版日期:2018-09-05 发布日期:2018-09-20
作者简介:黄孝彬(1977-),男,博士,教授,从事燃烧监测及优化、智能发电等方面的研究和开发工作,E-mail:binhuangcn@sina.com
基金资助:
国家自然科学基金资助项目（61573140）。

Advanced Fine Combustion Operation Optimization of Boiler Subject to Complex Coal Quality

HUANG Xiaobin¹, TIAN Hongwei², WANG Yiwei², DING Yongsan²

1. North China Electric Power University, Beijing 102206, China;
2. China Energy Group Jianbi Power Plant, Zhenjiang 212000, China

Received:2018-06-28 Online:2018-09-05 Published:2018-09-20
Supported by:
This work is supported by National Natural Science Foundation of China (No.61573140).

摘要/Abstract

摘要： 混煤掺烧可有效降低火电厂燃料成本，但导致锅炉入炉煤煤质多变且偏离设计煤种。如何在复杂煤质下保障锅炉安全、经济、环保运行，是火电厂亟待解决的重要问题。分析了当前锅炉燃烧涉及的制粉、配风、设计制造等环节的主要瓶颈问题，提出了从燃料输入的优化、锅炉燃烧设备优化改造、燃烧精细运行控制三个方面紧密协同优化的整体解决方案。重点研究和探讨了实现煤粉侧精细控制、炉内精细配风的关键监测及优化运行技术及发展应用现状。锅炉燃烧优化是一个复杂的系统工程，给出的方案为火电厂实施燃烧优化工程提供了必要的设计指导和参考。

关键词: 锅炉, 混煤掺烧, 燃烧优化, 燃烧监测

Abstract: Blended coal combustion in power plants can effectively reduce the fuel cost, but it may cause volatility of the coal quality for the boiler as well as the quality deviation from the designed coal. It is becoming an increasingly urgent problem to be resolved regarding how to maintain safe and efficient operation of boiler. In this paper, the main bottlenecks of the current boiler combustion, such as pulverization, air distribution, design and manufacturing, are ana-lyzed, and the integrated solutions are proposed in three aspects, which consist of the optimization of fuel input, boiler combustion equipment, and the fine operation control of the combustion process. The key monitoring and optimizing operation technologies for fine control of pulverized coal and fine air distribution in furnace are emphatically studied and discussed. Since boiler combustion optimization is a complex system engineering, the scheme presented in this pa-per provides necessary design guidance and reference for the implementation of combustion optimization engineering in thermal power plants.

Key words: boiler, blended coal combustion, combustion optimization control, advanced combustion monitoring

中图分类号:

TM621

黄孝彬, 田宏伟, 王煜伟, 丁永三. 复杂煤质下锅炉燃烧精细化运行技术[J]. 中国电力, 2018, 51(9): 39-45.

HUANG Xiaobin, TIAN Hongwei, WANG Yiwei, DING Yongsan. Advanced Fine Combustion Operation Optimization of Boiler Subject to Complex Coal Quality[J]. Electric Power, 2018, 51(9): 39-45.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201806167

https://www.electricpower.com.cn/CN/Y2018/V51/I9/39

参考文献

[1] 谭厚章, 苗杨, 王洋, 等. 煤质多变下火电厂最经济煤种的决策[J]. 中国电机工程学报, 2009, 29(14):1-5 TAN Houzhang, MIAO Yang, WANG Yang, et al. Design of the most economic coal in power plant with coal quality varia-tion[J]. Proceedings of the CSEE, 2009, 29(14):1-5
[2] WANG C, LIU Y, Zhang X, et al. A study on coal proper-ties and combustion characteristics of blended coals in north-western China[J]. Energy & Fuel, 2011, 25(8):3634-3645.
[3] 刘玉娇, 张海英, 关海盈. 基于多种算法的多目标配煤优化方法[J]. 热力发电, 2014, 43(9):108-112 LIU Yujiao, ZHANG Haiying, GUAN Haiying. Uniform de-sign based multi-objective optimization method for coal blend-ing[J]. Thermal Power Generation, 2014, 43(9):108-112
[4] 张晓杰, 孙绍增, 孙锐, 等. 混煤着火模型研究[J]. 燃烧科学与技术, 2001, 7(1):89-92 ZHANG Xiaojie, SUN Shaozeng, SUN Yue, et al. Study on model of coal blends ignition[J]. Journal of Combustion Science and Technology, 2001, 7(1):89-92
[5] 毛晓飞, 吴英, 曾过房. 700 MW机组锅炉混煤掺烧试验研究[J]. 热力发电, 2014, 43(5):69-74 MIAO Xiaofei, WU Ying, ZENG Guofang. The experimental research on blended coal combustion in a 700 MW unit boiler[J]. Thermal Power Generation, 2014, 43(5):69-74
[6] 汪建宏. 宁德电厂600 MW超临界机组配煤掺烧试验研究[D]. 保定:华北电力大学, 2011:1-6.
[7] 李慧君, 王晓峰, 张勇胜. 基于锅炉排烟成分的入炉煤质监测模型[J]. 热力发电, 2016, 45(5):74-78 LI Huijun, WANG Xiaofeng, ZHANG Yongsheng. Monitoring model for fired coal quality in utility boilers based on flue gas components[J]. Thermal Power Generation, 2016, 45(5):74-78
[8] 邢涛. 基于激光诱导击穿光谱技术的电厂入炉煤煤质在线检测技术研究[J]. 发电与空调, 2017, 38(5):11-15 XING tao. Study on on-line intelligent detection system of coal as fired in power plant on LIBS[J]. Power Generation & Air Condition, 2017, 38(5):11-15
[9] MEUNIER B M, WATTS P M, MARSHALL J S, et al. Vibration sensor for particle concentration measurement in pneumatic pipeline flows[J]. Measurement Science and Technology, 2010(12):125-401.
[10] QIAN Xiangchen, YAN Yong. Flow measurement of bio-mass and blended biomass fuels in pneumatic conveying pipe-lines using electrostatic sensor-arrays[J]. IEEE Transactions on Instrumentation and Measurement, 2012, 61(5):1343-1352.
[11] WANG F, CEN K F, LI N, et al. Two dimensional tomography for gas concentration and temperature distribution based on tunable diode laser absorption spectroscopy[J]. Measurement Science and Technology, 2010, 21(4):5301-5310.
[12] RIEKER G B, JEFFRIES J B, HANSON R K. Calibra-tion-free wavelength-modulation spectroscopy for measurements of gas temperature and concentration in harsh environments[J]. Applied optics, 2009, 48(29):5546-5560.
[13] 陈彦桥, 刘建民, 曾德良, 等. 火电机组燃烧优化的研究现状及展望[J]. 华东电力, 2010(10):1599-1603 CHEN Yanqiao, LIU Jianmin, ZEND Deliang, et al. Research status and prospection of combustion for thermal power unit[J]. East China Electric Power, 2010(10):1599-1603
[14] 梁绍华, 李秋白, 黄磊, 等. 锅炉在线燃烧优化技术的开发及应用[J]. 动力工程学报, 2008, 28(1):33-35 LIANG Shaohua, LI Qiubai, HUANG Lei, et al. Development and application of the online boiler combustion optimization technology[J]. Journal of Power Engineering, 2008, 28(1):33-35
[15] 陈刚, 方庆艳, 张成, 等. 电站锅炉配煤掺烧及经济运行[M]. 北京:中国电力出版社, 2013:218-233.
[16] YAN Y. Guide to the flow measurement of particulate solids in pipelines, part 1:fundamentals and principles[J]. Powder Handling & Processing, 2001, 13(4):343-352.
[17] QIAN Xiangchen, HUANG Xiaobin, HU Yonghui, et al. Pulverized coal flow metering on a full-scale power plant using electrostatic sensor arrays[J]. Flow Measurement and Instrumentation, 2014(40):185-191.
[18] ZHENG Y, LIU Y. Review of techniques for the mass flow rate measurement of pneumatically conveyed solids[J]. Measurement, 2011(44):589-604.

复杂煤质下锅炉燃烧精细化运行技术

Advanced Fine Combustion Operation Optimization of Boiler Subject to Complex Coal Quality

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	葛铭, 姜志成, 吕智嘉, 王佳杨, 仇召宏, 张守玉. 粉量分布不均对1000 MW机组对冲锅炉的影响及调整[J]. 中国电力, 2024, 57(1): 219-229.
[2]	陈家伦, 蒋欢春, 卞韶帅, 康英哲, 吴哲, 黄新. 660 MW梯级供热机组耦合电锅炉运行优化[J]. 中国电力, 2022, 55(5): 189-195.
[3]	姬海民, 李文锋, 杨冬, 张冀豪, 董方奇, 周屈兰, 张一帆. 基于超低氮燃气锅炉振动控制试验研究[J]. 中国电力, 2021, 54(3): 185-190.
[4]	滕达, 李铁林, 李昂, 安连锁, 陈海平, 沈国清. 电站锅炉尾部烟气余热回收与梯级利用系统特性分析[J]. 中国电力, 2020, 53(7): 189-196.
[5]	曹丽华, 潘同洋, 司和勇, 姜铁骝, 曹兴, 赵金峰. 热电厂配置调峰电锅炉最佳容量确定方法[J]. 中国电力, 2020, 53(6): 140-146.
[6]	王卫良, 王玉召, 吕俊复, 邵文君, 迟忠君, 张戟. 大型燃煤电站锅炉能效评价与节能分析[J]. 中国电力, 2020, 53(4): 177-185.
[7]	宋崇明, 田雪沁, 徐彤, 王新雷. 配置蓄热装置对火电机组一次调频性能影响[J]. 中国电力, 2020, 53(2): 120-128.
[8]	王洋, 朱晓昕, 陈铭, 汪华剑, 房凡, 朱伟建. 低负荷吹灰对超临界锅炉水冷壁超温影响的试验研究[J]. 中国电力, 2020, 53(11): 227-233.
[9]	许剑, 罗志, 周鑫, 李文杰, 黄少波, 常磊, 王晓冰, 牛国平, 张广才. W火焰锅炉SCR分区混合动态调平技术及应用[J]. 中国电力, 2020, 53(11): 234-242.
[10]	刘前卫. 基于鲁棒扰动观测器的弃风供暖系统[J]. 中国电力, 2019, 52(8): 120-125.
[11]	雷昳, 刘明真, 林开敏. 基于协调负荷调度模型的蓄热采暖解耦方法[J]. 中国电力, 2019, 52(7): 55-62,131.
[12]	杨晖, 段立强, 王振, 刘玉磊. 槽塔结合太阳能辅助燃煤发电机组性能分析[J]. 中国电力, 2019, 52(7): 99-107.
[13]	许威, 张剑, 范浩杰, 张忠孝, 孙蔚婷. 宽负荷下灵活二次再热超超临界锅炉调温特性研究[J]. 中国电力, 2019, 52(4): 119-126.
[14]	高建强, 梁胜莹, 危日光. SCR整流格栅高度与催化剂安装耦合影响分析[J]. 中国电力, 2019, 52(4): 144-150.
[15]	李长旭, 史志杰, 刘宇. 锅炉与侧煤仓一体化设计关键技术研究及应用[J]. 中国电力, 2019, 52(12): 179-184.

模态框（Modal）标题

复杂煤质下锅炉燃烧精细化运行技术

Advanced Fine Combustion Operation Optimization of Boiler Subject to Complex Coal Quality

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics