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International Journal of Environment Science and Technology
Center for Environment and Energy Research and Studies (CEERS)
ISSN: 1735-1472
EISSN: 1735-2630
Vol. 10, No. 6, 2013, pp. 1235-1244
Bioline Code: st13120
Full paper language: English
Document type: Research Article
Document available free of charge

International Journal of Environment Science and Technology, Vol. 10, No. 6, 2013, pp. 1235-1244

 en Formulation, application and evaluation of a stack emission model for coal-based power stations
Walvekar, P. P. & Gurjar, B. R.

Abstract

Estimation of coal power plant emissions is a vital step to visualise emission trends with respect to spe- cific policy implementations and technological interven- tions so that their effectiveness in terms of emission reductions and ambient air quality improvement can be quantitatively assessed. However, research work concern- ing stack emission estimations specifically for coal power plants in India is limited. To bridge the present gap, we present a plant-specific multi-year and multi-parameter Coal Power Stack Emission Model. This model has been developed to explore current and historical annual stack emissions from a coal-based thermal power plant taking into account essential variables such as coal characteristics, process attributes and control equipment aspects, which can significantly influence the stack emissions. This study concentrates on development of Coal Power Stack Emis- sion model and its application for the estimation of plant and year-specific emission factors and stack emissions for a coal-based power plant at Badarpur, New Delhi, for the period of 2000-2008. The validation of Coal Power Stack Emission model has also been successfully carried out by comparing the trends of percentage change in annual emission estimates and observed ambient air concentra- tions of total suspended particles, PM 10 and sulphur diox- ide at two nearby air quality monitoring stations, namely Siri Fort and Nizamuddin.

Keywords
Emission control; Emission factor; Emission inventory; Power plant technology

 
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