Speakers & Topics
Introduction to the workshop
A Shipping Industry outlook with focus on Operations. Setting the scene for the workshop. Challenges in the future with respect to operations. The future design of the vessels. The fuel challenges. The operational pattern of the different markets and ship types. The environmental challenges and carbon reduction goals for 2030/2050 and the impact on operations.
Jakob Buus Petersen, Director, Vessel Performance Solutions
The design of current vessels before and after the implementation of the EEDI. The market today. Benchmarking. Charterers options. Owners challenge when buying old tonnage. Improving energy efficiency of current fleet, potential. Technical and financial risks of implementing energy-saving technologies and how the industry overcome these challenges. The session will discuss what tools are available to identify inefficiencies and how we can use these tools to implement an energy efficient culture.
Antonis Trakakis, CTO, Forward Ships
Vessel Design and future fuels. The sulphur cap and carbon reduction, improving ship hydrodynamics and propulsion, base load & engine room configuration.
Kristian Bendix Nielsen, Director, Vessel Performance Solutions
Set the scene for performance monitoring. Why do we need it and what is it that we need for which purposes. Who are the stakeholders. What do we expect to see. Can we find an easy way to take smart decisions.
Per N. Petersen, Head of Bunkers, Maersk Tankers
Commercial performance in a pool. Energy Efficiency of a fleet. Pool system accounting. Transparency and fairness. Case stories.
Michalis Servos, Head of Energy Efficiency, Minerva Marine
Energy efficiency from a Ship Owner's perspective. What should you expect of performance for your vessels and how do you establish your baselines for performance? And how do you monitor a fleet by establishing a consistent data stream. Case stories.
Demtres Armanes, Senior Research Engineer, ABS
The SMART vessel, what is it and how do you get there? A new published ABS Guide covering Structural Health Monitoring, Machinery Health Monitoring, Asset Efficiency Monitoring, Operational performance management and Crew Assistance and Augmentation categories.
Ivana Melillo, Fleet Performance Manager, d'Amico Shipping
Energy efficiency from a Ship Owner's perspective. How do you set up your performance covering a fleet of diverse vessels. Case stories.
Stefanos Chartomatzides, Product Manager, Prisma Electronics
Automatic data collection. Practicalities on board and ashore. Data validation and security. Events handling.
Zoran Lajic, Head of Fleet Performance, Maran Tankers
A fully auto-logged performance system will be presented. This vessel performance monitoring system is a part of the Global Monitoring Platform. The Global Monitoring Platform showing all the vessels in the real time. The data needed for a performance analysis are fused from several data sources, e.g. onboard sensor data, weathered provider data, GIS data etc. Furthermore, an adaptive GLR (generalized likelihood ratio) detector which is able to detect the stable periods of the operation of a vessel will be presented. To assess the performance of a vessel, the stable periods of navigation can be used only. Therefore, having only sensor measurements from the stable periods as the inputs to the system is crucial for proper functioning of an auto logged vessel performance monitoring system. Removing the “contaminated” signals by ship maneuvering, changes in the weather condition or vessel speed would lead to an increase of the reliability of the system. The results from two VLCCs (Very Large Crude Carrier) with high and low frequency data will be shown.
Alexandros Senteris, Performance Engineer, Maran Tankers
During operation, the vessel will experience an increase of resistance due to several factors, linked to the sailing conditions, which should be modeled. Added wave resistance, wind resistance, shallow water and trim effect, are examples of parameters, which affect the power needed to propel the vessel. Any increase in resistance will result to the increase of fuel consumption and thus the increase of harmful emissions to the environment. In order to develop a robust and reliable analysis module to assess ship performance, we investigated the potential use of machine learning techniques, framed by naval architecture principles. The goal is to estimate the shaft power needed to propel the vessel at any operational, environmental and loading state. Clean hull and propeller condition were considered for the training of the artificial neural networks (ANN), in order to isolate the effect of fouling at any stage, by comparing the estimation with the shaft power measured by the torque meter and logged through the automated data transmission system at any time.
Leo Herold, Risk Communicator, WNI
Introduction to Optimum Ship Routeing (OSR), OSR performance parameters, Voyage priorities and performance solutions