An integrated maritime optimization model considering constraints expressing environmental regulations
Date Issued
2024
Abstract
The maritime industry is undergoing significant transformation as it grapples with the
need for more sustainable shipping practices. This transition involves a shift in fuel
preferences, with traditional high-polluting fuels being phased out in favour of cleaner,
more sustainable alternatives. The sector is also contending with increasingly stringent
environmental regulations, particularly regarding the reduction of greenhouse gas
(GHG) emissions. These regulatory demands, coupled with the already complex
techno-economic considerations for optimizing shipping operations, present a set of
multifaceted challenges that require comprehensive and integrated solutions. In
response to these challenges, the Global Climate Hub (GCH) — an initiative under the
United Nations Sustainable Development Solutions Network (UN SDSN) — has been
actively developing models that offer sustainable pathways for all economic sectors,
including the shipping industry. This paper presents such a model: MaritimeGCH, a
free, open-source, and comprehensive tool (optimization model) designed to tackle the
diverse challenges associated with maritime fleet management. It has been developed
in Python, and there can be different variations, depending on the problem being studied
and its scale. MaritimeGCH integrates a range of factors, including techno-economic,
fuels, environmental, and operational elements, into a single, unified model. It also
incorporates recent European environmental policies and penalties, offering a tool that
is detailed, flexible, and adaptable to various scales. The model's optimization
framework is tailored specifically for maritime challenges, balancing the need for
economic efficiencystriving for environmental sustainability. The paper first describes
the optimization logic applied to maritime problems, followed by a detailed
mathematical breakdown of the MaritimeGCH model. Finally, the model's utility for
policy-relevant scenario analysis is discussed. By making MaritimeGCH publicly
available, the GCH aims to encourage the broader application of the model while
fostering continuous improvements. The model offers significant potential for helping
the maritime industry navigate its path toward sustainability while balancing economic
and environmental goals in an increasingly complex regulatory landscape.
need for more sustainable shipping practices. This transition involves a shift in fuel
preferences, with traditional high-polluting fuels being phased out in favour of cleaner,
more sustainable alternatives. The sector is also contending with increasingly stringent
environmental regulations, particularly regarding the reduction of greenhouse gas
(GHG) emissions. These regulatory demands, coupled with the already complex
techno-economic considerations for optimizing shipping operations, present a set of
multifaceted challenges that require comprehensive and integrated solutions. In
response to these challenges, the Global Climate Hub (GCH) — an initiative under the
United Nations Sustainable Development Solutions Network (UN SDSN) — has been
actively developing models that offer sustainable pathways for all economic sectors,
including the shipping industry. This paper presents such a model: MaritimeGCH, a
free, open-source, and comprehensive tool (optimization model) designed to tackle the
diverse challenges associated with maritime fleet management. It has been developed
in Python, and there can be different variations, depending on the problem being studied
and its scale. MaritimeGCH integrates a range of factors, including techno-economic,
fuels, environmental, and operational elements, into a single, unified model. It also
incorporates recent European environmental policies and penalties, offering a tool that
is detailed, flexible, and adaptable to various scales. The model's optimization
framework is tailored specifically for maritime challenges, balancing the need for
economic efficiencystriving for environmental sustainability. The paper first describes
the optimization logic applied to maritime problems, followed by a detailed
mathematical breakdown of the MaritimeGCH model. Finally, the model's utility for
policy-relevant scenario analysis is discussed. By making MaritimeGCH publicly
available, the GCH aims to encourage the broader application of the model while
fostering continuous improvements. The model offers significant potential for helping
the maritime industry navigate its path toward sustainability while balancing economic
and environmental goals in an increasingly complex regulatory landscape.
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