Characteristics of NOx Formation and Removal in the Transient Process of a 660 MW Coal-fired Power Unit

doi:10.12096/j.2096-4528.pgt.20038

Power Generation Technology ›› 2020, Vol. 41 ›› Issue (5): 527-535.DOI: 10.12096/j.2096-4528.pgt.20038

• Factory Green Island and Digital Twin Technology • Previous Articles Next Articles

Characteristics of NO_x Formation and Removal in the Transient Process of a 660 MW Coal-fired Power Unit

Jiang FAN¹(),Shuangping ZHANG^1,²(),Yu MENG¹(),Weixiong CHEN^1,*(),Junjie YAN¹()

¹ School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi Province, China
² Datang Northwest Electric Power Test & Research Institute, Xi'an 710021, Shaanxi Province, China

Received:2020-06-09 Published:2020-10-30 Online:2020-11-02
Contact: Weixiong CHEN
Supported by:
National Key Basic Research and Development Program of China(2015CB251504)

Abstract

Abstract:

In order to complete the peak load regulating of power system, coal-fired power units have long-term frequent load fluctuations, which have a significant impact on the formation and removal of nitrogen oxides. In this paper, with the goal of studying the characteristics of nitrogen oxide generation and removal in the transient process of a 660 MW coal-fired unit, a prediction model of nitrogen oxides generation in the transient process was established, and the nitrogen oxides generation prediction study in the process of variable load was carried out. According to the characteristics of the burner switching in the variable load process of the coal-fired unit, it was found that the higher load point of the newly added burner, the more effectively it can avoid the increase of the generation value of nitrogen oxides. In addition, the dynamic characteristics of selective catalytic reduction (SCR) were analyzed, and the effects of the step changes such as nitrogen oxide concentration, NH₃ injection concentration, flue gas flow rate and reaction temperature on the dynamic characteristics of nitrogen oxides removal were studied respectively, which provides a reference for the optimization control logic of NH₃ injection in the subsequent transient process.

Key words: coal-fired power units, NO_x generation forecast, selective catalytic reduction (SCR) denitration, transient process

CLC Number:

TK16

Jiang FAN,Shuangping ZHANG,Yu MENG,Weixiong CHEN,Junjie YAN. Characteristics of NO_x Formation and Removal in the Transient Process of a 660 MW Coal-fired Power Unit[J]. Power Generation Technology, 2020, 41(5): 527-535.

References

1	朱跃. 火电厂"厂界环保岛"改造与运维关键技术[J]. 发电技术, 2018, 39 (1): 1- 12.
1	Zhu Y . Key technical issues of environmental protection island of thermal power plant[J] Power Generation Technology, 2018, 39 (1): 1- 12.
2	中国环境科学研究院.火电厂大气污染物排放标准(GB 13223-2011)[S].北京:中国环境科学出版社, 2012.
2	Chinese Research Academy of Environmental Sciences.Emission standards for air pollutants from thermal power plants (GB 13223-2011)[S].Beijing: China Environmental Science Press, 2012.
3	毛健雄, 毛健全, 赵树民. 煤的清洁燃烧[M]. 北京: 科学出版社, 2000.
3	Mao J X , Mao J Q , Zhao S M . Clean burning of coal[M]. Beijing: Science Press, 2000.
4	李伟, 蔡勇, 张晓磊, 等. 深度调峰工况锅炉主要辅机运行安全性分析[J]. 广东电力, 2019, 32 (11): 63- 69.
4	Li W , Cai Y , Zhang X L , et al. Analysis of operation safety of main auxiliaries of boilers under deep peak shaving[J] Guangdong Electric Power, 2019, 32 (11): 63- 69.
5	何志瞧, 陈巍文, 张江丰. 660 MW超临界机组深度调峰试验及低负荷段经济性分析[J]. 浙江电力, 2020, 39 (6): 68- 73.
5	He Z Q , Chen W W , Zhang J F . Deep peak regulation test and economic efficiency analysis for the 660 MW supercritical unit under low load[J] Zhejiang Electric Power, 2020, 39 (6): 68- 73.
6	马大卫, 王正风, 何军, 等. 安徽煤电深度调峰下机组煤耗和污染物排放特征研究[J]. 华电技术, 2019, 41 (12): 1- 7.
6	Ma D W , Wang Z F , He J , et al. Study on the coal consumption and pollutant discharge characteristics of coal-fired units participating in deep peak-regulating operation in Anhui Province[J] Huadian Technology, 2019, 41 (12): 1- 7.
7	李剑, 熊建国, 童家麟, 等. 深度调峰中锅炉超低负荷稳燃技术的研究[J]. 浙江电力, 2018, 37 (2): 62- 66.
7	Li J , Xiong J G , Tong J L , et al. Study on ultra-low load stable combustion technology of boiler in deep peak shaving[J] Zhejiang Electric Power, 2018, 37 (2): 62- 66.
8	王林, 伍刚, 张亚夫, 等. 1000 MW深度调峰机组热力系统优化研究[J]. 发电技术, 2019, 40 (3): 265- 269.
8	Wang L , Wu G , Zhang Y F , et al. Thermodynamic system optimization research on 1000 mw deep peak-regulating unit[J] Power Generation Technology, 2019, 40 (3): 265- 269.
9	Zhou H , Cen K , Fan J . Modeling and optimization of the NOx emission characteristics of a tangentially fired boiler with artificial neural networks[J] Energy, 2004, 29 (1): 167- 183.
10	Tronci S , Baratti R , Servida A . Monitoring pollutant emissions in a 4.8 MW power plant through neural network[J] Neurocomputing, 2002, 43 (1): 3- 15.
11	Tan P , Xia J , Zhang C , et al. Modeling and reduction of NOx emissions for a 700 MW coal-fired boiler with the advanced machine learning method[J] Energy, 2016, 94, 672- 679.
12	Lei Z , Liu X , Jia M . Modeling of selective catalytic reduction (SCR) for NO removal using monolithic honeycomb catalyst[J] Energy & Fuels, 2011, 23 (12): 6146- 6151.
13	Svachula J , Ferlazzo N , Forzatti P , et al. Selective reduction of NOx by NH3 over honeycomb denoxing catalysts[J] Industrial & Engineering Chemistry Research, 1993, 32 (6): 1053- 1060.
14	Zeldovitch J . The oxidation of nitrogen in combustion and explosions[J] Acta Physicochimi, 1964, 4, 21.
15	岑可法. 燃烧理论与污染控制[M]. 北京: 机械工业出版社, 2004.
15	Cen K F . Combustion theory and pollution control[M]. Beijing: China Machine Press, 2004.
16	朱永利, 尹金良. 人工智能在电力系统中的应用研究与实践综述[J]. 发电技术, 2018, 39 (2): 106- 111.
16	Zhu Y L , Yin J L . Review of research and practice of artificial intelligence application in power systems[J] Power Generation Technology, 2018, 39 (2): 106- 111.
17	Tronconi E , Nova I , Ciardelli C , et al. Modelling of an SCR catalytic converter for diesel exhaust after treatment:dynamic effects at low temperature[J] Catalysis Today, 2005, 105 (3/4): 529- 536.
18	谢新华.在役SCR催化剂失活机理及运行管理优化研究[D].武汉:华中科技大学, 2015.
18	Xie X H.Study on deactivation mechanism and operation management optimization of in-service SCR catalyst[D].Wuhan: Huazhong University of Science and Technology, 2015.

[1]	Weizhong FENG, Li LI. Research and Practice on Development Path of Low-carbon, Zero-carbon and Negative Carbon Transformation of Coal-fired Power Units Under “Double Carbon” Targets [J]. Power Generation Technology, 2022, 43(3): 452-461.
[2]	Hui LONG,Jingjing HUANG. Development Direction Analysis of Coal-fired Power Units' Design Technology During the 13th Five-Year Plan [J]. Power Generation Technology, 2018, 39(1): 13-17.

Characteristics of NO_x Formation and Removal in the Transient Process of a 660 MW Coal-fired Power Unit

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended Articles

Metrics

Comments