Open Access Journal

ISSN : 2456-1290 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Call For Paper : Vol 11, Issue 05, May 2024
Modeling of Dispersion of Primary Pollutants from a Thermal Power Plant Using - Aermod

Author : R.Krishna Chaithanya 1 Dr. N.Muni Lakshmi 2

Date of Publication :15th March 2017

Abstract: Power plants are the significant wellsprings of air contamination. Coal is the essential fuel utilized for era of power as a part of India and its use is consistently expanding to meet the developing vitality requests of the nation. Emissions of greenhouse gases and other pollutants such as Suspended Particulate Matter (SPM), Sulfur Dioxide (SO2), and Nitrogen Oxides (NOx) are increasing parallel to the growing demands of electricity. This paper presents the contextual investigation for Kakathiya Thermal Power Project (KTPP) for the expectation of the SPM, NOx, and SO2, contamination brought about by warm exercises near the villages of Bhoopalaallimandal of Warangal District, Telanagana State. An atmospheric dispersion model AERMOD-9.1(American Meteorological Environmental Protection Agency Regulatory Model) was used. Meteorological data for one year was processed using AERMET processor. The model was run for modeling of dispersion of pollutants SPM, SO2 and NOxfor all the months of the study period from January 2014 to December 2014 over study area. Model also runs for yearly averaged emission scenarios. The output files for the parameters Suspended particulate matter (SPM), Sulfur dioxide (SO2), and Nitrogen oxides (NOx) were evolved. The isopleths were plotted for the same and these concentration contours are very important in determining the spatial distribution of criteria pollutants over the modeled area. For the Ambient Air Quality Monitoring Stations, the predicted concentrations were found to be in good agreement with the measured concentrations. For AERMOD model, values of coefficient of determination R2 are in the range 0.73 to 0.85. The predictions are of reasonable accuracy and may be used for any other industry in its vicinity up to 50 km Diameter.

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