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Building Awareness of the Impact of Environmental Xenobiotics in Coal-Fired Flue Gas
Cornelia Bulucea 1 , Marc Rosen 2 , Nikos Mastorakis 3 , Carmen Bulucea 4 , Corina Brindusa 4 , Andreea Jeles 5

1  University of Craiova, Faculty of Electrical Engineering, Craiova 200440, Romania
2  Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON, L1H 7K4, Canada
3  Technical University of Sofia, Industrial Engineering Department, Sofia, Bulgaria & Military Institutions of University Education (ASEI), Hellenic Naval Academy, Piraeus 18539, Greece
4  University of Medicine and Pharmacy of Craiova, Craiova 200349, Romania
5  Technical College of Arts and Crafts “Constantin Brancusi” of Craiova, Craiova 200135, Romania

Published: 31 October 2014 by MDPI AG in Proceedings of The 4th World Sustainability Forum in The 4th World Sustainability Forum
MDPI AG, 10.3390/wsf-4-a003
Abstract:Dangerous and unstable situations can result from the presence of environmental xenobiotics since their harmful effects on humans and ecosystems are often unpredictable. The environmental xenobiotics in the flue gas from a fossil fuel-fired electrical generating station, such as particulate matter (PM), sulfur dioxide (SO2), nitrogen oxides (NOx), and carbon dioxide (CO2), are analyzed in this study, since these xenobiotics are persistentent pollutants. Mathematical models of the environmental pollutant vector, estimating the emission factors specific to fossil fuel combustion, are applied to the operation of thermal units in the Turceni electrical generating station, each of which produce a net electrical power of 330 MW. For each stack gas component in the pollutant vector, emission factor and pollutant concentration are determined. A pattern is also examined depicting the mathematically modelled processes of resonant absorption of an environmental xenobiotic harmonic oscillation by an organism modulated as an absorbing oscillator structure. The xenobiotic concentration degree is represented through a spatial concentration vector, which allows further modelling and simulation of the oscillating regime of environmental xenobiotic absorption.

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