Jani Romanoff

Fossil fuel powered ships dominate the shipping sector, an era that has revolutionized global trade but at the cost of significant greenhouse gas emissions. This study demonstrates that combustion-based maritime shipping can be replaced by battery-electric alternatives that have no combustion related emissions during their operations. The usage of electric ships has typically been limited to relatively short distances, but based on our calculations, electric ships get economically feasible on ever longer routes. We pinpoint, when specific distances become more profitable to be operated with an electric ship instead of a ship run with conventional combustion engines. Our analysis shows that by mid-2030s, battery-electric propulsion will be the most competitive option for all RoPax routes, and for all container feeder routes by the end of the 2030s. These transitions are driven by a projected 50% decrease in battery pack prices and a 27% increase in energy density every five years.

Fossil fuel powered ships dominate the shipping sector, an era that has revolutionized global trade but at the cost of significant greenhouse gas emissions. This study demonstrates that combustion-based maritime shipping can be replaced by battery-electric alternatives on increasingly longer distances. Our analysis shows that by mid-2030s, battery-electric propulsion will be the most competitive option for all RoPax routes, and will achieve the same status for all container feeder routes by the end of the 2030s. A 10,000 GT container feeder in 2030 already shows a profitability break-even point at a range of 326 nautical miles. These transitions are driven by a projected 50% decrease in battery pack prices and a 27% increase in energy density every five years. Consequently, replacing internal combustion engines in Northern European RoPax ships alone could reduce emissions by over 3 million metric tons of CO2 equivalent annually.

1. A large share of energy consumption on passenger ships comes from extensive hotel systems designed to ensure passenger comfort. For example, hotel systems have been reported to account for about...

Current neural network (NN) models can learn patterns from data points with historical dependence. Specifically, in natural language processing (NLP), sequential learning has transitioned from recurrence-based architectures to transformer-based architectures. However, it is unknown which NN architectures will perform the best on datasets containing deformation history due to mechanical loading. Thus, this study ascertains the appropriateness of 1D-convolutional, recurrent, and transformer-based architectures for predicting deformation localization based on the earlier states in the form of deformation history. Following this investigation, the crucial incompatibility issues between the mathematical computation of the prediction process in the best-performing NN architectures and the actual values derived from the natural physical properties of the deformation paths are examined in detail.

In cruise ship design, a ship designer often focuses on the ship’s function, while a cruise operator’s focus is on the creation of a comfortable and enjoyable cruise experience for passengers. Today, these two viewpoints are strongly connected, and thus, the way the inside of a ship is designed can impact how satisfied passengers are on their cruise journey. Thus, we need to figure out the best way to design a passenger ship from the perspective of the passengers themselves. In this paper, we analyse the differences in the combination passenger ship environmental elements and overall consumer satisfaction in two different cruise ship classes from the same ship operator, but from different eras. First, we present a theoretical framework and model for the cruise ship environment that consist of ambient, layout/design, social, product/service and onboard enjoyment factors. Then, by using data collected from the public domain, we compare two types of cruise ships using open-source data (N=755). This allows us to identify the factors contributing to the discrepancy in expectations across cruise guests. Based on this limited data, we create several linear regression models which indicates a favourable and statistically significant link between environmental elements and passengers' conduct while on board. Information processed this manner can be utilised to make informed decisions on cruise ship layout and amenities. In addition, the developed innovative KPI proved instrumental in influencing decision-making processes related to cruise ship designs and operations. Therefore, the findings from our research show a positive link between the onboard environment and the overall happiness of passengers.