The overall objective of these research issues is to systematically develop new knowledge, competence and methods to be used in the conceptual and early design of complex, customized ships. This includes new and improved methods for analysis and optimization in conceptual design, with emphasis on the early assessment of producibility, cost, operability, robustness and risk, within the context of a fleet and/or transport system. Further, to develop and document product platforms, work processes and best engineering practices that will significantly reduce the time and effort spent in tender design package development from request to delivery, focusing on parametric and configuration-based conceptual design methods.
MARFLIX (Contract partner NFR, project responsible)
The art of providing decision support to fleet size and mix (FSM) decisions within the shipping industry is an area where shipping analysts and brokers have a long and strong tradition. Going beyond this applied state of art, we see within the theoretical state of art, that the field of operations research with methods and techniques within optimization and simulation, as well as financial engineering has contributions to this area of knowledge. Literature reviews show that the uptake of theoretical state of art is lower for maritime fleet planning than in other modes of transport as road and air. Therefore, the main objective of this knowledge development project is to: Develop and test methods for improved decision support for fleet size and mix decisions in a maritime transport system context, to improve the use of state-of-art theory in applied maritime FSM decision making.
MARRISK (Project responsible)
The main objective of the MARRISK research project is to develop new competence to approach, analyse and manage vulnerabilities and risks in maritime transport systems. Key questions to be asked when defining the need for competence development in this area of shipping are: (i) Do we understand the sources and mechanisms of the vulnerabilities and risks in maritime logistics chains in its widestsense? (ii) Do we have the ability to analyze vulnerability and risk scenarios and the likelihood and consequences of these scenarios in the maritime logistics chain? (iii) Do we possess the appropriate measures, capacities and the ability to manage and mitigate vulnerabilities and risks in the extended maritime logistics contexts? The main competence question then becomes: How should we able to engineer resilience into the maritime logistics chain that meets the vulnerability and risk taxonomies of the context, and be able to analyse and manage the vulnerability and risk scenarios in a proactive manner?
DESIMAL (Project participant, 1 PhD): Benchmarking Maritime Logistics Chains
NEW ACTIVE FISHING GEAR (member of steering committee, 1 post doc)
The main objective of the project is to reduce NOx- and other environmental emissions and impacts from demersal fisheries by proposing new fuel- and catch efficient active fishing gear concepts based on trawl- and seine technology. By seine we here primarily mean Danish and Scottish seine (Norw.: snurrevad).
Sub-goals for accomplishing the main objective are:
· Propose new rational fishing strategies
· Develop new, feasible gear concepts
· Investigate gear deployment by numerical simulations
· Optimize gear designs wrt. net design, towing resistance and catch efficiency
Other NFR Funded projects
EMISOL: Project EmiSol will identify and evaluate existing and forthcoming solutions for reducing the fuel consumption and greenhouse gas (GHG) emissions from maritime shipping activities. Project responsible: DNV Research
FARGE: The FARGE project is an industry-led innovation project. The main objective of the FARGE project is to further develop advanced risk assessment models for coastal fairway traffic scenarios, aimed at reducing the traffic risk through better understanding of the coastal fairway risk picture and assessing cost effectiveness of risk control measures for oil spills in particular. The project will study how information from real-time AIS and LRIT can be used in dynamic risk monitoring, as well as how AIS and LRIT data can improve the statistical material in vessel accident databases used for fairway risk assessment studies. The project will also through the developed tools seek to apply them in a way inspired by air traffic control and management in the aviation industry.
LOW CARBON SHIPPING: The principal objective of the project will be to identify the cost-effective GHG reduction potential in the world merchant fleet, investigate barriers to implementation, quantify effects on climate and environment and, based on this, to develop decision support tools. Project responsible: DNV Research