Milind Mankar - Academia.edu (original) (raw)
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Papers by Milind Mankar
This paper describes systematic approach to predict of nitrogen oxides emission from 270 MW coal ... more This paper describes systematic approach to predict of nitrogen oxides emission from 270 MW coal fired thermal power plant with the help of artificial neural network. The NOx formation mechanism and NOx emission control techniques also describe. The oxygen concentration in flue gas, coal properties coal flow, boiler load, air distribution scheme, flue gas outlet, temperature and nozzle tilt were investigated through field experiment. The predicted values of ANN model for different load condition were verified with the actual values. These parameters help us to ensure to complete combustion and less emission with increased boiler life. Keywords—Artificial neural network,prediction,nitrogen oxides emission,thermal power plant
Emissions observering is done by analytical instruments which are very costly to install and main... more Emissions observering is done by analytical instruments which are very costly to install and maintain.This paper describes nitrogen oxide formation mechanism,emission contol techniques and efficient approach to predict nitrogen oxides emission from thermal based coal power plant with optimised combustion parameter. The oxygen concentration in flue gas,coal properties coal flow, boiler load, air distribution scheme, flue gas outlet, temperature and nozzle tilt were studied. Artificial neutral network (ANN) used in broad range of applications including:pattern recognition, optimization, prediction, and automatic control. The coal combustion parameters used as input and nitrogen oxides as output of model.. The optimum level of input operating conditions for low nitrogen oxides emission determined by simulated annealing (SA) approach. The result indicates that combined approach used for reducing nitrogen oxides emission.
This paper describes systematic approach to predict of nitrogen oxides emission from 270 MW coal ... more This paper describes systematic approach to predict of nitrogen oxides emission from 270 MW coal fired thermal power plant with the help of artificial neural network. The NOx formation mechanism and NOx emission control techniques also describe. The oxygen concentration in flue gas, coal properties coal flow, boiler load, air distribution scheme, flue gas outlet, temperature and nozzle tilt were investigated through field experiment. The predicted values of ANN model for different load condition were verified with the actual values. These parameters help us to ensure to complete combustion and less emission with increased boiler life. Keywords—Artificial neural network,prediction,nitrogen oxides emission,thermal power plant
Emissions observering is done by analytical instruments which are very costly to install and main... more Emissions observering is done by analytical instruments which are very costly to install and maintain.This paper describes nitrogen oxide formation mechanism,emission contol techniques and efficient approach to predict nitrogen oxides emission from thermal based coal power plant with optimised combustion parameter. The oxygen concentration in flue gas,coal properties coal flow, boiler load, air distribution scheme, flue gas outlet, temperature and nozzle tilt were studied. Artificial neutral network (ANN) used in broad range of applications including:pattern recognition, optimization, prediction, and automatic control. The coal combustion parameters used as input and nitrogen oxides as output of model.. The optimum level of input operating conditions for low nitrogen oxides emission determined by simulated annealing (SA) approach. The result indicates that combined approach used for reducing nitrogen oxides emission.