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Minimization Of Pollutants Of Exhaust Gas From High Traffic Area & Industrial Sector By Using Exothermic Reaction

Authors: PROF. SACHIN MOHITE; MR. NIKHIL HONKHAMBE; MR. AMIT KSHIRSAGAR.; MR. NAGESH KOLI; MR. SOURABH KSHIRSAGAR; MR. CHANBASU KORE;

Minimization Of Pollutants Of Exhaust Gas From High Traffic Area & Industrial Sector By Using Exothermic Reaction

Abstract

It is today undoubted that humans have to reduce their impact on the environment. IC engines, being the major power source in the transportation sector, play an important role in the man-made emissions. While the mobility in the world is growing, it is important to reduce the emissions that result from transportation, which are believed to be the main cause of global warming. Exhaust by fuel combustion contains toxic gases, various harmful pollutants mainly nitrogen oxides (NOX) and soot particles. These emissions are therefore limited by the authorities in most countries. In heavy traffic area and in industrial sector we find very high Pollution. This research work is carried out to minimize the pollution in our focused area. An unsteady state behaviour of gas absorption column for CO2-NaOH system was carried out using the arm field gas absorption column. A model equation was developed by considering material balance around the system. The concentrations of the inlet and outlet liquid streams and the gas outlet stream varied as functions of time. By Experimental analysis, the percentage of pollutants from exhaust gas is minimized. The test conducted for the duration of 90 minutes showed that 0.2 gram mole/litre of NaOH solution reacts with CO2 to give 0.1 gram mole/litre of Na2CO3.This clearly shows that the results of experiments conducted are in agreement with the model results. https://journalnx.com/journal-article/20150238

Keywords

Pollutants, Exothermic Reaction, Carbon dioxide emission, Global warming

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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