A Refined Model for Carbon Footprint Estimation in Electric Railway Transport

Mariusz Brzeziński () and Dariusz Pyza
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Mariusz Brzeziński: Faculty of Transport, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
Dariusz Pyza: Faculty of Transport, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland

Energies, 2023, vol. 16, issue 18, 1-18

Abstract: There is a plethora of methods in the global literature that can be used to measure CO 2 emissions from electrified transport. But are these methods reliable, and do they offer us a true view of how much exactly of this greenhouse gas is being produced by electric rail transport? We answer this question by proposing an improved CO 2 emission estimation model based on cargo transport. Unlike other works, our studies include four crucial steps: (1) estimation of energy consumption in electrified rail cargo transport; (2) estimation of energy losses in the railway traction system and high voltage transmission lines; (3) CO 2 emission estimation in traditional powerhouses; and (4) determination of the intensity of the CO 2 emissions from electrified rail cargo transport. Based on our method, we concluded that the intensity of CO 2 depends not only on the type of fossil fuel used for energy production but also on the parameters of the cargo train, such as its length and weight or the total number of wagon axles (which depend on wagon type). The achieved intensity of CO 2 emissions in electrified rail cargo transport slightly varies from those reported in the global literature. Among the most important reasons responsible for this are the conditions under which these tests were conducted. Nevertheless, our results shed new light on how CO 2 should be measured. We proved that the decarbonization of electrified rail cargo transport will never be possible without infrastructure modernization. In addition, based on a case study, we also delivered knowledge on how to reduce the environmental impact of electrified rail cargo transport.

Keywords: electric locomotive; train; carbon footprint; intermodal transport; CO 2 emissions (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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