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Reseach Article

Reduction of Carbon Dioxide Emission in Thermal Power Plants using Fire Fly Optimization Technique

by K.Vinod Kumar, Ch.Divya Saroja, K.Mahesh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 6
Year of Publication: 2011
Authors: K.Vinod Kumar, Ch.Divya Saroja, K.Mahesh
10.5120/3035-4114

K.Vinod Kumar, Ch.Divya Saroja, K.Mahesh . Reduction of Carbon Dioxide Emission in Thermal Power Plants using Fire Fly Optimization Technique. International Journal of Computer Applications. 25, 6 ( July 2011), 29-33. DOI=10.5120/3035-4114

@article{ 10.5120/3035-4114,
author = { K.Vinod Kumar, Ch.Divya Saroja, K.Mahesh },
title = { Reduction of Carbon Dioxide Emission in Thermal Power Plants using Fire Fly Optimization Technique },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 6 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number6/3035-4114/ },
doi = { 10.5120/3035-4114 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:03.526196+05:30
%A K.Vinod Kumar
%A Ch.Divya Saroja
%A K.Mahesh
%T Reduction of Carbon Dioxide Emission in Thermal Power Plants using Fire Fly Optimization Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 6
%P 29-33
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Global Warming is the greatest challenge that the world is facing today. It is very important to take preventive measures before this problem poses a serious threat to the mankind. Power Plants play a major role in green house gas emissions. Nearly 21.3% of green house gases are emitted by these power plants alone. In this paper we try to propose a computational approach to reduce these carbon dioxide emissions by using Fire Fly Optimization Technique. The proposed optimization technique is better than other conventional optimization techniques in terms of computational time and number of iterations. It also shows that the method is practically applicable in real time. The technique was applied to a three generator and six generator systems for different load demands for validation. To check the quality of the solution the results are being compared with the conventional optimization algorithms.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fire Fly Optimization Algorithm Carbon dioxide emission Green House Gases Thermal Power Plant Fossil Fuels