Artificial intelligence for control and optimization of boilers' performance and emissions: A review
Burning fossil fuels is a major concern for global warming control. In Saudi Arabia, steam
power plants that relay on boilers to produce the steam accounted for around 50% of the …
power plants that relay on boilers to produce the steam accounted for around 50% of the …
Combustion optimization of ultra supercritical boiler based on artificial intelligence
A method for optimizing the combustion in an ultra-supercritical boiler is developed and
evaluated in a 660 MWe ultra-supercritical coal fired power plant. In this method, Artificial …
evaluated in a 660 MWe ultra-supercritical coal fired power plant. In this method, Artificial …
[HTML][HTML] Combustion optimization of a boiler based on the chaos and Levy flight vortex search algorithm
X Li, P Niu, J Liu - Applied Mathematical Modelling, 2018 - Elsevier
The boiler combustion optimization has attracted growing research interest of more and
more researchers in thermal energy engineering field. To achieve combustion optimization …
more researchers in thermal energy engineering field. To achieve combustion optimization …
Improved artificial bee colony-based optimization of boiler combustion considering NOX emissions, heat rate and fly ash recycling for on-line applications
J Song, CE Romero, Z Yao, B He - Fuel, 2016 - Elsevier
A combustion optimization framework for on-line applications is proposed based on
improved Artificial Bee Colony (ABC) algorithm. First, an enhanced General Regression …
improved Artificial Bee Colony (ABC) algorithm. First, an enhanced General Regression …
A globally enhanced general regression neural network for on-line multiple emissions prediction of utility boiler
J Song, CE Romero, Z Yao, B He - Knowledge-Based Systems, 2017 - Elsevier
Prediction of multiple emissions of boiler such as NO X, SO 2 and mercury accurately and
quickly can help operating engineers understanding the power unit deeply and controlling …
quickly can help operating engineers understanding the power unit deeply and controlling …
A novel data-driven approach for coal-fired boiler under deep peak shaving to predict and optimize NOx emission and heat exchange performance
Y Wu, Z Wang, C Shi, X Jin, Z Xu - Energy, 2024 - Elsevier
Coal-fired boilers considering deep peak shaving operate under wide and variable load
requirements with complex and varying working conditions, making the prediction and …
requirements with complex and varying working conditions, making the prediction and …
Application of artificial neural network–particle swarm optimization algorithm for prediction of gas condensate dew point pressure and comparison with gaussian …
A Khaksar Manshad, H Rostami… - Journal of …, 2016 - asmedigitalcollection.asme.org
For gas condensate reservoirs, as the reservoir pressure drops below the dew point
pressure (DPP), a large amount of valuable condensate drops out and remains in the …
pressure (DPP), a large amount of valuable condensate drops out and remains in the …
Optimization of thermal efficiency and unburned carbon in fly ash of coal-fired utility boiler via grey wolf optimizer algorithm
This paper focuses on improving thermal efficiency and reducing unburned carbon in fly ash
by optimizing operating parameters via a novel high-efficient swarm intelligence …
by optimizing operating parameters via a novel high-efficient swarm intelligence …
Application of intelligent computational techniques in power plants: a review
Growing worldwide demand for energy leads to increasing the levels of challenge in power
plants management. These challenges include but are not limited to complex equipment …
plants management. These challenges include but are not limited to complex equipment …
Recurrent neural network-based hybrid modeling method for digital twin of boiler system in coal-fired power plant
Y Zhao, Y Cai, H Jiang - Applied Sciences, 2023 - mdpi.com
Due to the simplified assumptions or unascertained equipment parameters, traditional
mechanism models of boiler system in coal-fired power plant usually have predictive errors …
mechanism models of boiler system in coal-fired power plant usually have predictive errors …