Optimise ship designs
To define the crucial design requirements, Conoship’s specialists use data analysis to optimise the concept design. By analysing similar ships, or operations of the shipowner’s ships from recent years, Conoship’s specialists look at whether the client’s design assumptions, often based on gut feeling, are actually correct. This is data analysis to support the concept design.
Another way Conoship is analysing data is to see how well a ship actually performs compared to the design principles. We then look at data we can get from public sources, such as AIS data and data received from the ship owner. We analyse all the data to see if we can trace the data back to the weather conditions and if this information gives input to make better predictions for new ships.
Currently, our research team is participating in the research project Transferring Operational Data into Design Information for Ships (TODDIS). A very clearly data-driven research project that investigates how sensor data with advanced algorithms can be effectively used for innovations in ship design. Conoship is one of the partners of more than ten companies and institutions in the TODDIS project, including:
- NHL Stenden
- TU Delft
- Rotterdam University of Applied Sciences
- Amsterdam University of Applied Sciences
- Royal Wagenborg
- Royal Van Oord
- Damen Shipyards Group
- Royal Navy
TODDIS focuses on developing tools that make data practical through algorithms in optimising ship designs. These tools, applications and software will be available as prototypes.
Faced with long-term changes in market conditions, staff availability, staff age and training, and technical developments, a new vision for fleet development is required. Based on market analysis, area of operation, earning capacity, and costs, Conoship develops new concepts for fleet and equipment.
As an operator, you have a clear vision of how to develop your fleet renewal program. But is this an optimal solution? Analysing and combining all types of data provides Conoship’s consultants with the insights to develop an optimal vision for the fleet renewal program. Data analysis provides genuine insights for operators.
Inefficiencies in the operation
Another opportunity where we use data effectively is to see where the inefficiencies are in the operation. Certain vessels have relatively long waiting times because they sail too fast and therefore reach their destination too early. Or the vessels lie misallocated waiting for the next work.
If you look closely at this kind of data and combine it with data from the market, such as charter contracts, there are opportunities to better align ship operations themselves between two contracts or two ports. This is not only smarter for ship owners, but also for charters to lower the day rates and for port authorities to avoid congestion in ports.
Especially when a vessel is not operating, it is still emitting CO₂ but is not transporting cargo at that moment. So, without investing, costs and CO₂ emissions can be reduced by making efficiencies in the operation.
The numbers from the data analysis form the foundation for the development of our new designs for standard vessels. The designs for the standard vessels came from market demand, but the numbers from Conoship’s market analysis underpin the design choices.
For the designs of the 3600, 3800, and 6300 tdw general cargo vessels our consultants analyzed a large amount of data, such as:
- What cargo is shipped?
- What are the sailing distances?
- What is the age of the cargo vessels?
- How big is the replacement demand?
- What are the specs of the vessels?
Even down to port and pilotage costs have been factored into the Conoship’s designs of 3600, 3800, and 6300 tdw general cargo vessels.