Measurement of CO2, CO, SO2, and NO emissions from coal-based thermal power plants in India
ABSTRACT Measurements of CO2 (direct GHG) and CO, SO2, NO (indirect GHGs) were conducted on-line at some of the coal-based thermal power plants in India. The objective of the study was three-fold: to quantify the measured emissions in terms of emission coefficient per kg of coal and per kWh of electricity, to calculate the total possible emission from Indian thermal power plants, and subsequently to compare them with some previous studies. Instrument IMR 2800P Flue Gas Analyzer was used on-line to measure the emission rates of CO2, CO, SO2, and NO at 11 numbers of generating units of different ratings. Certain quality assurance (QA) and quality control (QC) techniques were also adopted to gather the data so as to avoid any ambiguity in subsequent data interpretation. For the betterment of data interpretation, the requisite statistical parameters (standard deviation and arithmetic mean) for the measured emissions have been also calculated. The emission coefficients determined for CO2, CO, SO2, and NO have been compared with their corresponding values as obtained in the studies conducted by other groups. The total emissions of CO2, CO, SO2, and NO calculated on the basis of the emission coefficients for the year 2003–2004 have been found to be 465.667, 1.583, 4.058, and 1.129 Tg, respectively.
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ABSTRACT: Estimation of coal power plant emissions is a vital step to visualise emission trends with respect to specific policy implementations and technological interventions so that their effectiveness in terms of emission reductions and ambient air quality improvement can be quantitatively assessed. However, research work concerning 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 Emission 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 concentrations of total suspended particles, PM10 and sulphur dioxide at two nearby air quality monitoring stations, namely Siri Fort and Nizamuddin.International journal of Environmental Science and Technology 11/2013; · 1.79 Impact Factor
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ABSTRACT: In recent years, India developed the world's 2nd largest telecom network based largely on mobile phone connections. The energy demand of the telecom sector especially in rural areas is mainly fueled by diesel combustion in mid-size generators due to either lack of grid power or unstable provision of electricity. This study quantifies the magnitude of emissions from the Indian telecom sector and presents a gridded inventory for the year 2011 with a spatial distribution derived on the provincial level including information on urban versus rural telecom installations. The estimated total NOx, PM, CO, BC, SO2, HC and CO2 emissions are found to be 295 ± 196 Gg/yr, 155 ± 108 Gg/yr, 61 ± 41 Gg/yr, 28 ± 18 Gg/yr, 114 ± 12 Gg/yr 19.50 ± 13 Gg/yr and 27.9 ± 12 million tons/yr, respectively. The future development of emissions from this sector will depend on the rate of electrification and possible market saturation. Air quality in rural areas of India could be improved by replacing diesel generators with renewable energy sources or electricity from the grid.Atmospheric Environment 02/2015; 103. · 3.06 Impact Factor
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ABSTRACT: Natural resource scarcity and the effects of environmental destruction have pushed societies to use and reuse resources more efficiently. Waste should no longer be seen as a burden but rather as another source of material such as energy fuel. This study analyzes the potential of three waste management scenarios that include the combination of four waste management technologies - incineration with energy recovery, composting, anaerobic digestion, and sanitary landfill gas collection - as ways to recover energy and material from municipal solid waste. The study applies the environmental load point (ELP) method and utilizes municipal waste characteristics and composition from India, Indonesia, and China as case studies. The ELP methodology employs integrated weighting in the quantification process to get a one-unit result. This study particularly uses analytic hierarchical process questionnaires to get the weighting value of the nine impact categories: energy depletion, global warming, ozone depletion, resource consumption, ecosystem influence, water pollution, waste disposal, air pollution, and acid rain. The results show that the scenario which includes composting organic waste and sanitary landfill with gas collection for energy recovery has medium environmental impact and the highest practicability. The optimum material and energy potential is from the Chinese case study in which 254 tonnes of compost fertilizer and 60 MWh of electricity is the estimated output for every 1,000 tonnes of waste treated.International Journal of Energy and Environmental Engineering. 3(1).