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It is expected that expenses associated with acquiring the electricity will dominate the operational expenses (OPEX) of fuel synthesis plants.1 Therefore, for the assessment of the production cost of the future green fuels addressed in the MarEfuel-project, it is key to be clear about the assumptions on cost of electricity. This report summarizes a number of different approaches to assess the cost of electricity in atraceable and clear manner. Naturally, this depends on where the plant is operated and when and what the source of the electricity is. Here, we shall consider a number of different well-defined cases thatmay provide upper and lower boundaries as well as estimates that are relevant for a plant established now or in the future. Three main types of plant electricity supply strategies are studied: • Off-grid fuel plant, which has its own source of electricity and is not connected to the main electricity grid. This is described in section 3.• Grid-connected fuel plant, which buys all its electricity from the main electricity grid. This is described in section 4.• Mixed fuel plant, which buys some electricity from the main electricity grid and also has its own source of renewable electricity.

This report is a background report to the MarE-Fuel project financed by the Maritime Fund and the Lauritzen Fund. Partners of the project has been DTU, Anker Invest, Mærsk Line, Copenhagen Economics, OMT and DFDS. In the report, potential decarbonization roadmaps or pathways for the maritime industry are presented, as well as the methodology of deriving them. Different future fuels and their emissions are highlighted. In addition, biomass availability plays an essential role in climate mitigation efforts towards net-zero by 2050, and thus we examined different biomass availability scenarios alongside greenhouse-gas emissions cap scenarios. The assumptions related to the underlying emissions can be found in the first chapter of the report. Besides the underlying emissions for a decarbonized maritime industry, the ship stock and the underlying transport demand play an essential role for a future decarbonized maritime industry. In the second chapter of the report, we address this issue by explaining how ship stock and shipping demand have been incorporated into the model. Finally, we present the optimization ship stock model developed to generate roadmap scenarios. We show the objective function and the underlying constraints of the model. The results of this work are presented and discussed. We also show some sensitivity analysis, which will shed light on the relevant parameters for the futureof the maritime industry. Our main findings can be found in the end of the report.