Artificial intelligence for control and optimization of boilers' performance and emissions: A review

MA Nemitallah, MA Nabhan, M Alowaifeer… - Journal of Cleaner …, 2023 - Elsevier
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 …

Combustion optimization of ultra supercritical boiler based on artificial intelligence

Y Shi, W Zhong, X Chen, AB Yu, J Li - Energy, 2019 - Elsevier
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 …

[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 …

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 …

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 …

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 …

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 …

Optimization of thermal efficiency and unburned carbon in fly ash of coal-fired utility boiler via grey wolf optimizer algorithm

Y Zhao, Q Wu, H Li, S Ma, P He, J Zhao, Y Li - IEEE access, 2019 - ieeexplore.ieee.org
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 …

Application of intelligent computational techniques in power plants: a review

F Alnaimi, A Al Bazi… - Advances In Industrial …, 2021 - pureportal.coventry.ac.uk
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 …

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 …