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 …

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 …

LSTM-based soft sensor design for oxygen content of flue gas in coal-fired power plant

H Pan, T Su, X Huang, Z Wang - Transactions of the Institute …, 2021 - journals.sagepub.com
To address problems of high cost, complicated process and low accuracy of oxygen content
measurement in flue gas of coal-fired power plant, a method based on long short-term …

Deep Learning Models for SO2 Distribution in a 30 MW Boiler via Computational Fluid Dynamics Simulation Data

Z Tang, H Dong, C Zhang, S Cao, T Ouyang - ACS omega, 2022 - ACS Publications
The distribution of SO2 in a boiler is an important factor affecting tube corrosion in a furnace.
To investigate the correlation between SO2 distribution and numerous variables (eg …

[PDF][PDF] The prediction of the oxygen content of the flue gas in a gas-fired boiler system using neural networks and random forest

N Effendy, ED Kurniawan, K Dwiantoro… - … Journal of Artificial …, 2022 - researchgate.net
The oxygen content of the gas-fired boiler flue gas is used to monitor boiler combustion
efficiency. Conventionally, this oxygen content is measured using an oxygen content sensor …

A Hybrid Soft Sensor Model for Measuring the Oxygen Content in Boiler Flue Gas

Y Wang, Z Li, N Zhang - Sensors, 2024 - mdpi.com
As an indispensable component of coal-fired power plants, boilers play a crucial role in
converting water into high-pressure steam. The oxygen content in the flue gas is a crucial …

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 …

Prediction of NOx emission for coal-fired boilers based on deep belief network

F Wang, S Ma, H Wang, Y Li, J Zhang - Control Engineering Practice, 2018 - Elsevier
This study developed three types of deep belief network (DBN)-based models to estimate
NO X emission in coal-fired power plants by a new data acquisition method. Based on the …

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 …

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 …