Carbon emissions statistical analysis for container shipping in the Black Sea

Author:

Georgiev Petar1ORCID,Garbatov Yordan2

Affiliation:

1. Technical University of Varna, Varna, Bulgaria

2. Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisbon, Lisbon, Portugal

Abstract

This work analyses the operational characteristics, including the fuel consumption and carbon emissions of self-reported data of container vessels performing regular short sea voyages in the Black Sea. The data are extracted from the EMSA THETIS-MRV database covering the period of 2018–2021. The main particulars of container ships that visited six Black Sea ports were collected from the Marine Traffic platform and Equasis database. Several conclusions about the status of carbon emissions from container shipping in the Black Sea are presented, which may support the short shipping companies in developing measures to incentivise decarbonisation in the region. It has been identified that the correlation between ship deadweight and total fuel consumption and CO2 emissions is weaker than the correlation between distance travelled and transport work. The decrease in CO2 emissions in 2021 can be attributed to reduced ship activity and emission-reduction measures. The ratios of CO2-related indicators to ship deadweight are more diminutive, showing a lack of correlation. An approach based on the confidence ellipses is employed in performing an innovative analysis of the CO2 emissions over the years for container ships operating in the Black Sea. This is important due to the new requests for using EEXI and CII.

Publisher

SAGE Publications

Reference34 articles.

1. Reducing GHGs: The MBM and MRV Agendas

2. MEPC.278(70). Resolution MEPC.278(70) (adopted on October 28 2016) amendments to MARPOL annex VI (data collection system for fuel oil consumption of ships), 2016.

3. MEPC.293(71). Resolution 293(71) (adopted on July 7 2017) 2017 guidelines for the development and management of the IMO ship fuel oil consumption database, 2017.

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