Author
Listed:
- Cornelia A. Bulucea
(Faculty of Electrical Engineering, University of Craiova, Craiova 200440, Romania
These authors contributed equally to this work.)
- Marc A. Rosen
(Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON L1H 7K4, Canada
These authors contributed equally to this work.)
- Nikos E. Mastorakis
(Technical University of Sofia, Industrial Engineering Department, Sofia, Bulgaria & Military Institutions of University Education (ASEI), Hellenic Naval Academy, Piraeus 18539, Greece
These authors contributed equally to this work.)
- Carmen A. Bulucea
(University of Medicine and Pharmacy of Craiova, Craiova 200349, Romania
These authors contributed equally to this work.)
- Corina C. Brindusa
(University of Medicine and Pharmacy of Craiova, Craiova 200349, Romania
These authors contributed equally to this work.)
- Andreea C. Jeles
(Technical College of Arts and Crafts "Constantin Brancusi" of Craiova, Craiova 200135, Romania
These authors contributed equally to this work.)
Abstract
Dangerous and unstable situations can result from the presence of environmental xenobiotics since their harmful effects on humans and ecosystems are often unpredictable, and building awareness of the environmental risk should be a main concern of humankind. The environmental xenobiotics in the flue gas from a fossil fuel-fired electrical generating station, such as particulate matter (PM), sulfur dioxide (SO 2 ), nitrogen oxides (NO x ), and carbon dioxide (CO 2 ), are analyzed in this study, since these xenobiotics are persistent 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 produces a net electrical power of 330 MW. For each stack gas component in the pollutant vector, emission factors and pollutant concentrations 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.
Suggested Citation
Cornelia A. Bulucea & Marc A. Rosen & Nikos E. Mastorakis & Carmen A. Bulucea & Corina C. Brindusa & Andreea C. Jeles, 2015.
"Addressing the Impact of Environmental Xenobiotics in Coal-Fired Flue Gas,"
Sustainability, MDPI, vol. 7(3), pages 1-17, March.
Handle:
RePEc:gam:jsusta:v:7:y:2015:i:3:p:2678-2694:d:46421
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