| Abstract |
The maritime sector faces multiple techno-economic, environmental and development challenges, requiring careful investment decisions. The need for holistic solutions that can address these considerations simultaneously is becoming increasingly pressing. In this paper we present the application of a free, open-source Investment Decision Support Tool, called MaritimeGCH: a least-cost linear optimization model that reflects operational and investment variables and constraints within the shipping industry. The model aims to optimize fleet composition under techno-economic, environmental, operational factors and European environmental regulations. Through this, we are able to test the effect of different technologies, their respective costs and carbon abatement potential within the Greek shipping fleet. China has the largest maritime fleet globally, with a merchant fleet of 249.2 million gross tonnes, overtaking Greece, while Greece follows closely with about 249 million GT. Greece ranks first in deadweight tonnage (DWT), accounting for 17.77% of the global capacity, with a fleet of 364 million DWT. This importance stems from a deep-rooted tradition of maritime expertise and a strategic focus on global shipping markets, positioning it as a crucial component of international trade and economic stability (Alexandropoulou et al., 2021; Papandreou et al., 2021) |
