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International Journal of Academic Research in Accounting, Finance and Management Sciences

Open Access Journal

ISSN: 2225-8329

Research on Low Nitrogen Combustion Strategies For Integrated Information Control and Business of Power Plants in China

Siming Guo, Muthukumar Ramaswamy, Asif Mahbub Karim

http://dx.doi.org/10.6007/IJARAFMS/v14-i4/23550

Open access

This research examines the intelligent management strategy of the power plant's de-nitration system in order to address issues including the insufficient assessment of the intake NOx content and significant nonlinearity and inertia. To address the lag issue in the measurement of nitrogen oxide content at the intake port, a worldwide measurement calibration model is created. This model has a lower R2 and RMSE than the single regression prediction model. The MATLAB Simulink program is used to build the de-nitration system simulation platform, and the intelligent control approach is researched. According to the simulation results, intelligent control reduces the variation in output NOx concentration by 63.7%, whereas multi-model predictive control without inlet NOx correction reduces it by 40.6%.

Cekik, R., & Uysal, A. K. (2020). A novel filter feature selection method using rough set for short text data. Expert Systems with Applications, 160, 113691. https://doi.org/https://doi.org/10.1016/j.eswa.2020.113691
China's second survey of pollution sources (2020). Environmental protection, 48(18), 8-10.
China Power Industry Annual Development Report 2023. (2023, 2023-07-12). China Electric Power News, 003.
Fan, Y., Cui, X., Han, H., & Lu, H. (2019). Chiller fault diagnosis with field sensors using the technology of imbalanced data. Applied Thermal Engineering, 159, 113933. https://doi.org/https://doi.org/10.1016/j.applthermaleng.2019.113933
Fang, L. (2006). The impact of nitrogen oxides in the atmosphere on the ecological environment. Journal of Qinghai Normal University (Natural Science Edition)(03), 87-89. https://doi.org/10.16229/j.cnki.issn1001-7542.2006.03.029
Guangjun., C. (2016). De-nitration retrofit scheme of domestic 300 MW circulating fluidized bed boiler. Automation application(01), 6-7+9.
Guangxi, Y. (2004). Development and Application of Circulating Fluidized Bed Technology ( II ). Energy saving and environmental protection(01), 11-12.
Jing., G. (2010). The application of SNCR / SCR combined denitrification technology in 410t / h power station boiler. [Master's thesis, North China Electric Power University].
KE Xiwei, Z. M., YANG Hairui, LYU Junfu, GUO Xuemao, LI Jun, HE Huibao. (2021). Research Progress on NOx Generation and Emission Characteristics of Circulating Fluidized Bed Boilers. 41(08), 2757-2771.
Li Jianguo, Z. F., Sun Xueli. (2019). Current situation and challenges of air pollution prevention and control in China's thermal power plants. The 18th Chinese Academic Conference on Electric Precipitation, Nanjing, Jiangsu, China.
LIU Hongyu, S. X. (2021). Analysis of Influencing Factors of NOx in Circulating Fluidized Bed Boilers. (12), 143-144.
Min, H. (2013). Study on SNCR and SCR Denitrification Coupled with Deep Low Nitrogen Combustion of Large Power Plant Boiler [Doctoral dissertation, Zhejiang University].
Sun Xianbin, S. Z., Jin wangsen. (2014). Research on ultra-low emission technology of circulating fluidized bed boiler. China Power, 47(01), 142-145.
Wang Junxia, L. M., & Jing Hong. (2020). Analysis and Suggestions on Nitrogen Oxide Emission Control in China. Environmental protection, 48(18), 24-27.
https://doi.org/10.14026/j.cnki.0253-9705.2020.18.004
Xiong Weili, H. W., &Zhang Guobin. (2002). The harm and prevention of nitrogen oxides
(NOx) in thermal power plants. Hunan Electric Power(01), 61-62+52.

Guo, S., Ramaswamy, M., & Karim, A. M. (2024). Research on Low Nitrogen Combustion Strategies For Integrated Information Control and Business of Power Plants in China. International Journal of Academic Research in Accounting, Finance and Management Sciences, 14(4), 255–271.