Impact of the development of electromobility in Poland on the background level of atmospheric pollution

The objective of the work was to analyse the environmental effects of the development of the electric car fleet in Poland on air pollution. Three distinct scenarios for the growth of electromobility were analysed, considering spatial distribution and estimating emissions in both the transport and energy production sectors. Based on the modelling results from GEM-AQ model, the differences in average annual gaseous pollutants concentrations were calculated and compared with the baseline scenario in 2015. In the case of NO2 and SO2, the largest increases occurred around power plants. For CO, a very small reduction over most of the country was achieved in all scenarios (up to - 0.25%). Ozone background concentrations mainly decreased compared to 2015 across the country by -2%. The alternative scenario, which does not assume the anticipated constant growth in electricity demand, is characterized by the reduction of concentrations background for NOSO2 (up to 1.5%) and CO (up to -0.25%), a smaller increase of SO2 concentrations (up to 5%) and on average higher ozone background. Alternative scenario revealed the most differences, with power sector emissions and constant electricity demand growth overshadowing the impact of electric vehicle fleet changes on air pollution.

Authors

Institutions

Publication Details

Journal
Environmental Engineering Research
Published
2024-10-31
DOI
https://doi.org/10.4491/eer.2024.328
Citations
1
Primary Topic
Engine and Fuel Emissions
Type
article
Field-Weighted Citation Impact
0.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of the development of electromobility in Poland on the background level of atmospheric pollution

Paweł Durka, Joanna Strużewska, Krzysztof Zagrajek, Grzegorz Jeleniewicz et al.
1 citations
Environmental Engineering Research
Engine and Fuel Emissions
0.20
article

Impact of the development of electromobility in Poland on the background level of atmospheric pollution

Paweł Durka, Joanna Strużewska, Krzysztof Zagrajek, Grzegorz Jeleniewicz, J. W. Kaminski, Mariusz Kłos
article en
1 citations

Abstract

The objective of the work was to analyse the environmental effects of the development of the electric car fleet in Poland on air pollution. Three distinct scenarios for the growth of electromobility were analysed, considering spatial distribution and estimating emissions in both the transport and energy production sectors. Based on the modelling results from GEM-AQ model, the differences in average annual gaseous pollutants concentrations were calculated and compared with the baseline scenario in 2015. In the case of NO2 and SO2, the largest increases occurred around power plants. For CO, a very small reduction over most of the country was achieved in all scenarios (up to - 0.25%). Ozone background concentrations mainly decreased compared to 2015 across the country by -2%. The alternative scenario, which does not assume the anticipated constant growth in electricity demand, is characterized by the reduction of concentrations background for NOSO2 (up to 1.5%) and CO (up to -0.25%), a smaller increase of SO2 concentrations (up to 5%) and on average higher ozone background. Alternative scenario revealed the most differences, with power sector emissions and constant electricity demand growth overshadowing the impact of electric vehicle fleet changes on air pollution.

Environmental Engineering ResearchVol. 30(3)
Institute of Environmental Protection (PL), Institute of Power Engineering (PL)
Climate action
Openalex Percentile: Top 48%
Engine and Fuel Emissions
0.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.