Martin Bergström

In this study, a simulation-based approach is applied to develop concepts for short sea shipping of green hydrogen and to assess their overall energy efficiency. The study is conducted as a case study involving production of green hydrogen at an offshore site in the North Sea. Hydrogen produced at the site is first transported by pipeline to a port-based intermediate storage facility, from where it is transported onwards by ship. For the onward transport, four different hydrogen carriers are considered, namely compressed hydrogen, liquid hydrogen, ammonia, and a liquid organic hydrogen carrier.

While society benefits from Arctic shipping, it is necessary to recognize that ship operations in Arctic waters pose significant risks to people, the environment, and property. To support the management of those risks, this article presents a comprehensive approach addressing both short-term operational risks, as well as risks related to long-term extreme ice loads. For the management of short-term operational risks, an extended version of the Polar Operational Limit Assessment Risk Indexing System (POLARIS) considering the magnitude of the consequences of potential adverse events is proposed. For the management of risks related to long-term extreme ice loads, guidelines are provided for using existing analytical, numerical, and semi-empirical methods. In addition, to support the design of ice class ship structures, the article proposes a novel approach that can be used in the conceptual design phase for the determination of preliminary scantlings for primary hull structural members.

This article presents an optimization-based approach for sizing and composition of an Arctic offshore drilling support fleet considering cost-efficiency. The approach studies the main types of duties related to Arctic offshore drillings: supply, towing, anchor handling, standby, oil spill response, firefighting, and ice management. The approach considers the combined effect of the expected costs of accidental events, the versatility of individual support vessels, and ice management. The approach applies an Artificial Bee Colony algorithm-based optimization procedure. As demonstrated through case studies, the approach may help to find a range of cost-efficient fleet compositions. Some of the obtained solutions are similar to corresponding real-life fleets, indicating that the approach works in principle. Sensitivity analyses indicate that the consideration of the expected costs from accidental events significantly impacts the obtained solution, and that investments to reduce these costs may improve the overall cost-efficiency of an Arctic offshore drilling support fleet.

This study aims to determine likely future scenarios for polar shipping, and to discuss their implications for stakeholders. The analysis is carried out per four different segments of polar shipping; transport, service, fishery, and cruising. The transport segment is further subdivided into destination-polar shipping (operation between polar and non-polar locations), trans-polar

The increased activity in the Arctic involves hazards such as a harsh environment, especially the ice cover and cold temperature, remoteness and lack of infrastructure, and lack of information about bathymetry, among others