System Dynamics Approach to Global Shipping Emissions

This paper presents an improved System Dynamics (SD) model to assess the greenhouse gas (GHG) emission reduction measures between 2023 and 2050 at the container terminal of the Port of Koper. The new model builds on previous models and includes several subsystems that take into account many decarbonisation instruments such as the electrification of facilities, the introduction of alternative fuels (ammonia, methanol, hydrogen, biofuels) and onshore power supply (OPS). The simulation results show that emissions can be reduced by 88.6% by 2050, mainly through harbour equipment. The model follows the dynamics of the S-curve in the introduction and estimation of throughput growth in reality. Decarbonisation has not been fully completed but can be advanced with future technologies such as carbon capture for additional emission reductions. The study proves that dynamic modelling is efficient in long-term sustainability planning and provides a scalable model that can be used by other ports wishing to meet the IMO 2050 targets.

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Publication Details

Journal
TransNav the International Journal on Marine Navigation and Safety of Sea Transportation
Published
2026-01-01
DOI
https://doi.org/10.12716/1001.20.01.17
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
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article

System Dynamics Approach to Global Shipping Emissions

Peter Vidmar, Marin Hero, Marko Perkovič
TransNav the International Journal on Marine Navigation and Safety of Sea Transportation
Maritime Transport Emissions and Efficiency
article

System Dynamics Approach to Global Shipping Emissions

Peter Vidmar, Marin Hero, Marko Perkovič
article en

Abstract

This paper presents an improved System Dynamics (SD) model to assess the greenhouse gas (GHG) emission reduction measures between 2023 and 2050 at the container terminal of the Port of Koper. The new model builds on previous models and includes several subsystems that take into account many decarbonisation instruments such as the electrification of facilities, the introduction of alternative fuels (ammonia, methanol, hydrogen, biofuels) and onshore power supply (OPS). The simulation results show that emissions can be reduced by 88.6% by 2050, mainly through harbour equipment. The model follows the dynamics of the S-curve in the introduction and estimation of throughput growth in reality. Decarbonisation has not been fully completed but can be advanced with future technologies such as carbon capture for additional emission reductions. The study proves that dynamic modelling is efficient in long-term sustainability planning and provides a scalable model that can be used by other ports wishing to meet the IMO 2050 targets.

TransNav the International Journal on Marine Navigation and Safety of Sea TransportationVol. 20(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Maritime Transport Emissions and Efficiency
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System Dynamics Approach to Global Shipping Emissions — Peter Vidmar, Marin Hero, et al. · TransNav the International Journal on Marine Navigation and Safety of Sea Transportation (2026) | TGRS Research Map | TGRS