Nitrogen Oxides Emission Prediction in Coal Based Thermal Power Plant using Artificial Neural Network
Milind S. Mankar1, Ashish M. Vyawahare2, Jitendra S. Pachbhai3
1Milind S. Mankar, Dept. of Mechanical Engineering, Govt. College of Engineering, Amravati, MH, India.
2Ashish M. Vywahare, Assistant Manager, Operation, India bulls Power Limited, Amravati, MH, India.
3Jitendra S. Pachbhai, Dept. of Mechanical Engineering, Govt. College of Engineering, Amravati, MH, India.
Manuscript received on May 15, 2014. | Revised Manuscript received on May 18, 2014. | Manuscript published on May 25, 2014. | PP:16-21 | Volume-2 Issue-7, May 2014. | Retrieval Number: G0728052714/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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