Elsevier

Atmospheric Environment

Volume 36, Issue 4, February 2002, Pages 677-697
Atmospheric Environment

Inventory of aerosol and sulphur dioxide emissions from India: I—Fossil fuel combustion

https://doi.org/10.1016/S1352-2310(01)00463-0Get rights and content

Abstract

A comprehensive, spatially resolved (0.25°×0.25°) fossil fuel consumption database and emissions inventory was constructed, for India, for the first time. Emissions of sulphur dioxide and aerosol chemical constituents were estimated for 1996–1997 and extrapolated to the Indian Ocean Experiment (INDOEX) study period (1998–1999). District level consumption of coal/lignite, petroleum and natural gas in power plants, industrial, transportation and domestic sectors was 9411 PJ, with major contributions from coal (54%) followed by diesel (18%). Emission factors for various pollutants were derived using India specific fuel characteristics and information on combustion/air pollution control technologies for the power and industrial sectors. Domestic and transportation emission factors, appropriate for Indian source characteristics, were compiled from literature. SO2 emissions from fossil fuel combustion for 1996–1997 were 4.0 Tg SO2 yr−1, with 756 large point sources (e.g. utilities, iron and steel, fertilisers, cement, refineries and petrochemicals and non-ferrous metals), accounting for 62%. PM2.5 emitted was 0.5 and 2.0 Tg yr−1 for the 100% and the 50% control scenario, respectively, applied to coal burning in the power and industrial sectors. Coal combustion was the major source of PM2.5 (92%) primarily consisting of fly ash, accounting for 98% of the “inorganic fraction” emissions (difference between PM2.5 and black carbon+organic matter) of 1.6 Tg yr−1. Black carbon emissions were estimated at 0.1 Tg yr−1, with 58% from diesel transport, and organic matter emissions at 0.3 Tg yr−1, with 48% from brick-kilns. Fossil fuel consumption and emissions peaked at the large point industrial sources and 22 cities, with elevated area fluxes in northern and western India. The spatial resolution of this inventory makes it suitable for regional-scale aerosol-climate studies. These results are compared to previous studies and differences discussed. Measurements of emission factors for Indian sources are needed to further refine these estimates.

Introduction

It is now recognised that aerosols and sulphur dioxide (precursor gas to sulphate aerosol) play an important role in regional and global climate change, with some aerosol constituents (e.g. sulphate, organic matter (OM) and mineral matter) resulting in cooling and others (e.g. black carbon (BC)) in warming of Earth's atmosphere (Charlson et al (1991), Charlson et al (1992); Liousse et al., 1996; Tegen et al., 1997). In contrast to greenhouse gases, aerosols have short atmospheric lifetimes (about few days to a week), and would concentrate in source regions, having climatic effects with strong spatial and temporal variations. Aerosol emissions must be accurately estimated, with good spatial resolution, as a first step to understand their transport and climatic effects, on a regional scale.

India is one of the fastest growing economies in Asia, with an annual average GDP growth of 6.1% (WDR, 2000). This has resulted in an increase in commercial energy consumption in the last decade (38% between 1990 and 1998) (CMIE, 1999; TEDDY, 1999). As there are no current estimates of fossil fuel consumption and pollutant emissions compiled by Indian regulatory agencies, these are needed for recent base years, with detailed spatial resolution. This work is also relevant in context of the recently completed Indian Ocean Experiment (INDOEX) (1998–1999), to study the aerosol transport, chemistry, and their climatic effects over Indian subcontinent and Indian Ocean (Ramanathan et al., 1997). The objective of this work was to develop a comprehensive spatially resolved aerosols and SO2 emissions inventory for India for the latest base year, to serve as an input to the aerosol-climate modelling studies related to INDOEX.

Previous global emissions inventories have included SO2 and aerosol emissions from fossil fuel combustion in India (Cooke et al., 1999; Cooke and Wilson, 1996; Liousse et al., 1996; Penner et al., 1993; Spiro et al., 1992). In these inventories, national average estimates of per capita fuel consumption were used, which were reported, for example, by the International Energy Agency (IEA), for base years 1984–1990, and distributed based on population density. To improve the spatial distribution of the fuel use and emission estimates, some sectorisation was introduced to differentiate the power sector from other industries (Arndt et al., 1997; Akimoto and Narita, 1994). Further sectorisation was recently introduced (Garg et al., 2001) using fuel consumption data from Government of India databases for the base years 1990 and 1995.

In the previous estimates, emission factors of pollutants (SO2, BC, OM) have been used at an aggregate level. Average fuel-based emission factors have been used, in general, without information about the production and pollution control technologies used in various industrial sectors. These would introduce uncertainties in the emissions, e.g. the SO2 emitted or retained in a process, or the relative amounts of organic and elemental carbon formed at different combustion temperatures. Also, in the absence of technology related information, assumptions have been made to enhance pollutant emission factors by an arbitrary value (e.g. Cooke et al., 1999) above that applicable to the industrial process in a developed country. In many cases, global average fuel characteristics were used while, for example, Indian coals would have significantly higher ash and lower sulphur content than the global average (Coal Atlas of India, 1993).

In this study, an attempt has been made to develop a comprehensive emission inventory, which links plant-by-plant process and control technology, and appropriate fuel composition, to the best available emission factors to estimate emissions from different sectors. An analysis of the transportation and domestic sectors was made to identify and develop appropriate/realistic emission factors and estimate emissions for India. The objectives of the present paper are: (i) construction of fossil fuel consumption database for India for the base year 1996–1997 (the latest data available at the time this study was started), (ii) development of realistic emission factors, for SO2 and aerosols, from industrial, transportation and domestic sources in India, (iii) construction of a spatially resolved (0.25°×0.25°) emission inventory for SO2 and aerosols (PM2.5 or particulate matter (PM) <2.5 μm diameter, BC, OM and the “inorganic fraction”) and projection of the emissions to 1998–1999 (INDOEX period).

Section snippets

Method

India is divided into 25 states, which are administered through state governments and seven union territories (as of 1996–1997), directly administered by the union government. The fossil fuel consumption in each state varies considerably depending on industrial development, urbanisation and population. Each state is sub-divided into districts (∼15–50) for micro-developmental planning (GoI, 1992) and the district is the lowest level, where energy consumption estimates can be obtained. At the

Fuel consumption data

As part of this inventory, a fossil fuel consumption database was constructed for India for 1996–1997. This includes coal, lignite, petroleum fuels and natural gas consumption in utilities, industrial, domestic and transportation sectors.

Emission factors

Measured emission factors for Indian sources are not available in literature. The strategy followed here was to identify emission factors formulations, which could be customised to fuel composition and technologies used in India, derived from Indian data sources.

Fossil fuel consumption in India (1996–1997)

For comparison of consumption of various fuels, mass of fuels (kilo-tons) were converted into energy equivalents using respective net calorific values (MoPN, 1998; TEDDY, 1997). Total fossil fuel energy consumption in India during 1996–1997 was 9411 PJ. This includes fuel consumption for energy (83%) in the utilities, industrial, domestic and transport sectors, and feedstock/raw material (17%) in the industrial processes. The shipping and aviation sectors were not included in this study, but

Sulphur dioxide emissions

The estimated SO2 emissions from fossil fuel combustion for India for 1996–1997 are 4.03 Tg SO2 yr−1. The highest sectoral relative contribution to SO2 emissions is from utilities (50%), followed by industrial (35%) and transportation (15%) (Fig. 3a). The SO2 emissions from utilities are primarily from coal combustion, and in transportation primarily from diesel combustion in road transport. Within industrial emissions, iron and steel and fertilisers together account only 10% of SO2 emissions,

Extrapolation of pollutant emissions to 1998–1999 (INDOEX)

One of the primary objectives of present emissions inventory development is to serve as an input to the transport and climate modelling studies related to the recently completed INDOEX. Presently estimated SO2 and aerosol chemical constituents emissions for 1996–1997 were extrapolated to 1998–1999 (Table 6), in proportion to increase in the fossil fuel consumption in utilities, industrial, domestic and transportation sectors. The sector wise fossil fuel consumption data from 1989–1990 to

Conclusions

A comprehensive, spatially resolved (0.25°×0.25°) fossil fuel consumption database and emissions inventory was constructed, for India, for the first time. Emissions of sulphur dioxide and aerosol chemical constituents were estimated for 1996–1997 and extrapolated to the Indian Ocean Experiment (INDOEX) study period (1998–1999), to serve as an input to aerosol-climate studies. A district level fossil fuel consumption database was developed, with sources including coal/lignite, petroleum fuels

Acknowledgements

We thank V.S. Chary (ASCI, India), Sumeet Saxena (TERI, India) and Sameer Maithel (TERI, India) for their help with the energy use inventory. We appreciate the valuable advice of David Streets (ANL, USA) and Tami Bond (NOAA, USA) on BC emissions from fossil fuels and of Rangan Banerjee (IIT Bombay, India) on the Indian power sector. Special thanks to Olivier Boucher (LOA, France) for his help with spatial distribution of emissions. The advice and encouragement of Glen Cass (Georgia Tech, USA)

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