A boiler oxygen content and furnace temperature prediction model based on honey badger algorithm optimized neural network
Z Ji, W Tao, L Zhang - Engineering Research Express, 2024 - iopscience.iop.org
Aiming at the problem that it is difficult to accurately predict the oxygen content and furnace
temperature during the combustion process inside the circulating fluidized bed boiler, this …
temperature during the combustion process inside the circulating fluidized bed boiler, this …
Boiler furnace temperature and oxygen content prediction based on hybrid CNN, biLSTM, and SE-Net models
Z Ji, W Tao, J Ren - Applied Intelligence, 2024 - Springer
Furnace temperature and oxygen content are important parameters reflecting the
combustion inside a circulating fluidized bed (CFB) boiler. Accurately predicting boiler …
combustion inside a circulating fluidized bed (CFB) boiler. Accurately predicting boiler …
Prediction of Oxygen Content in Boiler Flue Gas Based on a Convolutional Neural Network
Z Li, G Li, B Shi - Processes, 2023 - mdpi.com
As one of the core pieces of equipment of the thermal power generation system, the
economic and environmental performance of a boiler determines the energy efficiency of the …
economic and environmental performance of a boiler determines the energy efficiency of the …
Modeling and prediction of key parameters of circulating fluidized bed boiler based on Transformer
Y Ye, H Lin, H Zhou - Journal of the Taiwan Institute of Chemical Engineers, 2024 - Elsevier
Background A data-driven approach that integrates Transformer and convolutional neural
network is proposed to address the challenge of traditional data-driven models, which often …
network is proposed to address the challenge of traditional data-driven models, which often …
Optimization for Boiler Based on Data Mining and Multi-Condition Combustion Model
G Li, B Shi - 2021 China Automation Congress (CAC), 2021 - ieeexplore.ieee.org
To facilitate the online calculation and optimization of boiler efficiency, a 130 t/h Circulating
Fluidized Bed boiler in a power plant is taken as the research object. Firstly, the historical …
Fluidized Bed boiler in a power plant is taken as the research object. Firstly, the historical …
A hybrid deep neural network based prediction of 300 MW coal-fired boiler combustion operation condition
ZZ Han, YZ Huang, J Li, B Zhang, MM Hossain… - Science China …, 2021 - Springer
In power generation industries, boilers are required to be operated under a range of different
conditions to accommodate demands for fuel randomness and energy fluctuation. Reliable …
conditions to accommodate demands for fuel randomness and energy fluctuation. Reliable …
Modeling for the bed temperature 2D-interval prediction of CFB boilers based on long-short term memory network
F Hong, D Long, J Chen, M Gao - Energy, 2020 - Elsevier
Circulating fluidized bed (CFB) units play an important role in thermal power generation
system in China. Because of advantages of wide fuel flexibility and low pollutant emissions …
system in China. Because of advantages of wide fuel flexibility and low pollutant emissions …
A deep learning model for measuring oxygen content of boiler flue gas
Z Tang, Y Li, A Kusiak - IEEE access, 2020 - ieeexplore.ieee.org
The oxygen content of boiler flue gas is a valid indicator of boiler efficiency and emissions.
Measuring the oxygen content of boiler flue gas is time consuming and costly. To overcome …
Measuring the oxygen content of boiler flue gas is time consuming and costly. To overcome …
Deep Bidirectional Learning Machine for Predicting NOx Emissions and Boiler Efficiency from a Coal-Fired Boiler
GQ Li, XB Qi, KCC Chan, B Chen - Energy & Fuels, 2017 - ACS Publications
Combustion optimization is one of the effective techniques to enhance boiler efficiency and
reduce nitrogen oxide (NO x) emissions from coal-fired boilers. A precise NO x emission …
reduce nitrogen oxide (NO x) emissions from coal-fired boilers. A precise NO x emission …
Hybrid modeling optimization of thermal efficiency and NOx emission of utility boiler
P Xin, Z Kai - Proceedings of the CSEE, 2011 - epjournal.csee.org.cn
Increasing thermal efficiency of utility boilers and reducing pollutant emission are both
important for saving energy and protecting environment. The artificial intelligence method is …
important for saving energy and protecting environment. The artificial intelligence method is …