A hybrid approach for the dynamic monitoring and forecasting of NOx emissions in power plants

Sustainable Energy, Grids and Networks - Tập 36 - Trang 101208 - 2023
Jing Tang1,2, Yida Guo2,3, Meiping Li2, Yixuan Peng2, Yilin Han2, Wenyuan Zhu2
1College of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
2State Grid E-Commerce Co., Ltd. (Yuanguang Software), Beijing 519085, China
3Computer Science and Technology, Tsinghua University, Beijing 100084, China

Tài liệu tham khảo

Azzam, 2018, Application of evolutionary neural networks and support vector machines to model NOx emissions from gas turbines, J. Environ. Chem. Eng., 6, 1044, 10.1016/j.jece.2018.01.020 Bhowmik, 2018, Performance-exhaust emission prediction of diesosenol fueled diesel engine: An ANN coupled MORSM based optimization, Energy, 153, 212, 10.1016/j.energy.2018.04.053 Hao, 2021, Prediction of nitrogen oxide emission concentration in cement production process: a method of deep belief network with clustering and time series, Environ. Sci. Pollut. Res., 28, 31689, 10.1007/s11356-021-12834-9 Ilamathi, 2013, ANN-GA approach for predictive modeling and optimization of NOx emission in a tangentially fired boiler, Clean. Technol. Environ. Policy, 15, 125, 10.1007/s10098-012-0490-5 National Bureau of Statistics, 2021, Over-Scale Industrial Value Added Increased by 4.3%. Saif-Ul-Allah, 2022, ‘Computationally Inexpensive 1D-CNN for the Prediction of Noisy Data of NOx Emissions From 500 MW Coal-Fired Power Plant’, Front. Energy Res., 10, 10.3389/fenrg.2022.945769 Tan, 2016, NOX emission model for coal-fired boilers using principle component analysis and support vector regression, J. Chem. Eng. Jpn., 49, 211, 10.1252/jcej.15we066 Wang, 2018, Prediction of NOX emission for coal-fired boilers based on deep belief network, Control Eng. Pract., 80, 26, 10.1016/j.conengprac.2018.08.003 Wang, 2021, An ensemble deep belief network model based on random subspace for no xconcentration prediction, ACS Omega, 6, 7655, 10.1021/acsomega.0c06317 Yin, 2022, Dynamic NOx emission prediction based on composite models adapt to different operating conditions of coal-fired utility boilers, Environ. Sci. Pollut. Res., 29, 13541, 10.1007/s11356-021-16543-1 Yu, 2021, A novel deep learning approach to predict the instantaneous NOxemissions from diesel engine, IEEE Access, 9, 11002, 10.1109/ACCESS.2021.3050165