Add to ORKGIn this research paper, predictive modelling of NOx emission of a 210 MW capacity pulverized coal-fired boiler and combustion parameter optimization to reduce NOx emission in flue gas is proposed. The effects of oxygen concentration in flue gas, coal properties, coal flow, boiler load, air distribution scheme, flue gas outlet temperature and nozzle tilt are studied. The data collected from parametric field experiments are used to build a feed-forward back-propagation artificial neural net (ANN). The coal combustion parameters are used as inputs and NOx emission as outputs of the model. The ANN model is developed for full load condition and its predicted values are verified with the actual values. The algebraic equation containing weights a...
The amount of bottom ash formed in a pulverized coal-fired power plant was predicted by artificial n...
With an ever increasing demand for energy, Malaysia has become a nation that thrives on solid power ...
This work is part of the development of a decision support model for the operation of a real steam g...
The formation of nitrogen oxides (NO{sub x}) during pulverized-coal combustion in utility boilers is...
AbstractA new methodology combining the advanced extreme learning machine (ELM) and harmony search (...
This paper presents a non-conventional dynamic neural network that was designed for real time predic...
Development of artificial neural network (ANN) models using real plant data for the prediction of fr...
This paper studies on researching the method of reducing NOx production and coal consumption of coal...
Accurate modeling of thermal power plant is very useful as well as difficult. Conventional simulatio...
Abstract: This paper investigates neural network based estimation of NOx emissions in a thermal powe...
This paper describes an experimental and computer simulation studies used to develop a suitable algo...
This paper presents a small and efficient model for predicting NOx emissions from coal-fired boilers...
Abstract. Nitric acid production plants emit small amounts of nitrogen oxides (NOx) to the environme...
High level of efficiency is pursued whenever an energy convertion system is operated, such as steam ...
In this paper, an efficient artificial neural network (ANN) model using multi-layer perceptron (MLP)...
The amount of bottom ash formed in a pulverized coal-fired power plant was predicted by artificial n...
With an ever increasing demand for energy, Malaysia has become a nation that thrives on solid power ...
This work is part of the development of a decision support model for the operation of a real steam g...
The formation of nitrogen oxides (NO{sub x}) during pulverized-coal combustion in utility boilers is...
AbstractA new methodology combining the advanced extreme learning machine (ELM) and harmony search (...
This paper presents a non-conventional dynamic neural network that was designed for real time predic...
Development of artificial neural network (ANN) models using real plant data for the prediction of fr...
This paper studies on researching the method of reducing NOx production and coal consumption of coal...
Accurate modeling of thermal power plant is very useful as well as difficult. Conventional simulatio...
Abstract: This paper investigates neural network based estimation of NOx emissions in a thermal powe...
This paper describes an experimental and computer simulation studies used to develop a suitable algo...
This paper presents a small and efficient model for predicting NOx emissions from coal-fired boilers...
Abstract. Nitric acid production plants emit small amounts of nitrogen oxides (NOx) to the environme...
High level of efficiency is pursued whenever an energy convertion system is operated, such as steam ...
In this paper, an efficient artificial neural network (ANN) model using multi-layer perceptron (MLP)...
The amount of bottom ash formed in a pulverized coal-fired power plant was predicted by artificial n...
With an ever increasing demand for energy, Malaysia has become a nation that thrives on solid power ...
This work is part of the development of a decision support model for the operation of a real steam g...