Recent estimates show that almost 90% of the investments needed for the energy transition at sea will be in land-based infrastructure. As a consequence, ports are expected to develop into energy hubs that will serve in bridging the maritime, energy and interrelated industries. However, this imposes the challenge of how ports can manage and facilitate the transition, which must occur almost simultaneously globally, and do it as quickly and as efficiently as possible.
Through an exploratory study this project will identify major challenges and opportunities for ports as facilitators of the transition to alternative fuels for shipping and industry. The project has the long-term ambition to establish an international partnership for academic research on the topic.
The project has explored the potential for Danish yards and maritime industry, addressing questions regarding the size and composition of the relevant near-end-of-life fleet, the structure and capabilities of the Danish yards and maritime industry and a deeper analysis of the market for ship recycling in Denmark, including the pricing of end-of-life shipping assets and the nature of transactions. The study found that the structure and capabilities of the ports, yards and maritime industry places Denmark in a favourable position to develop its ship recycling industry around circular economy principles, but that significant barriers must be overcome both in terms of location and public acceptance as well as market strategies and price formation. In addition, for ship recycling in Denmark to become truly circular, there must be closer coordination between ports, yards and maritime suppliers where business models are developed around a lifecycle perspective on ships.
ROROGREEN is a project that aims at bringing Denmark a step closer to sustainable Roll-on Roll-off (RoRo) shipping. The project uses digital innovation to monitor RoRo shipping emissions and optimize the industry operational and strategic planning. By doing so, we reduce the fuel consumption of the used vessels, which have the highest impact factor on the GHG emissions produced during maritime shipping. The operational efficiency gained by the optimized procedures will lower the cost thus attract more cargo from road to sea and thus indirectly also reduce the emissions of road transport.
A pilot project made by the Danish firma Sealytix has shown that application of algorithms and AI can incrase the earnings of a container vessel by up to 10 %. The purpose of this project is to solve som of the computer science issues realted to the practical implementation of these algorithms. As such, the main contribution of the project is to develop new algorithms and AI methods to optimize the loading of the vessels. The project also aims at engagning the open research environment with standard descriptions of the problems and the development of new experts to the area.