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Hourly emission inventories for air toxic emissions for eastern Australian electricity generators derived from energy distribution data

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Abstract

Emission inventories are a fundamental input for atmospheric chemical transport models in order to accurately simulate air pollution and its impacts. In Australia, emission inventories are currently not available for electricity generators at high temporal and spatial resolutions. In this study, a new high spatial and temporal resolution inventory for Australian power plant emissions has been developed. The emissions from coal- and gas-fired power plants have been estimated using 5-min electricity generation time-series data and emission factors. The emissions are estimated from 2010 to 2019 for sulfur dioxide (\(\hbox {SO}_2\)), nitrogen oxide (\(\hbox {NO}_{2}\)), particulate matter (PM) and mercury (Hg). We estimate that, for 2019, the coal-fired power plants in Australia emitted significant amounts of \(\hbox {SO}_2\) (485.7 kTonne) and \(\hbox {NO}_{2}\) (452 kTonne), as there are no sulfur dioxide or nitrogen oxide controls in place. In contrast, PM emissions are mitigated by particulate matter control devices and coal-fired power plants emit an estimated 27.48 and 13.46 kTonne of \(\hbox {PM}_{10}\) and \(\hbox {PM}_{2.5}\), respectively. Coal-fired power plants were responsible for an estimated 3.13 tonnes of Hg emissions. Gas-fired plant emissions are significantly lower than coal-fired power emissions for all pollutants. Temporal analysis showed that coal- and gas-fired power plant emissions vary quite markedly during the day and over the week. There is a strong diurnal cycle in the gas-fired emissions, which, if ignored by assuming constant emissions (such as is routinely done), will lead to significant errors in modeled air pollution.

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Data availability statement

The datasets generated during the current study are available in the PANGEA repository, https://www.pangaea.de/tok/97ba6fe716625d601585573684b3fef15a83afec

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Acknowledgements

RS and MG acknowledge support from the Australian Research Council (ARC) Centre of Excellence for Climate Extremes (CE170100023) and the Australian Research Council’s Discovery Project: Tackling Atmospheric Chemistry Grand Challenges in the Southern Hemisphere (DP160101598). This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI) - under project q90, which is supported by the Australian Government.

Funding

MG is supported by the Australian Government Research Training Program Scholarship.

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Authors

Contributions

MG conceptualized and planned the study, performed the data analysis, and prepared the original draft of the manuscript. JS conceptualized and planned the study supervised the study, and reviewed and edited the manuscript. RS conceptualized and planned the study, supervised the study, acquired funding, and reviewed the manuscript. RR reviewed and edited the manuscript. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to M. Garg.

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Conflicts of interest

The authors declare that they have no conflicts of interest.

Additional information

Editorial responsibility: Samareh Mirkia.

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Supplementary material 1 (pdf 957 KB)

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Garg, M., Silver, J.D., Schofield, R. et al. Hourly emission inventories for air toxic emissions for eastern Australian electricity generators derived from energy distribution data. Int. J. Environ. Sci. Technol. 19, 2973–2992 (2022). https://doi.org/10.1007/s13762-021-03429-5

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  • DOI: https://doi.org/10.1007/s13762-021-03429-5

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