Session: 06-04-01 Marine Engineering and Technology I

Paper Number: 124835

124835 - Piloting of Vessel Technical Index 

Studies have shown that about half of the reduction potential can be achieved through adopting the fuel saving measures. However, the lack of information, uncertainty about hidden costs/benefits, information asymmetry between stakeholders, conflicts of interest and split incentives etc. hinder the application of the fuel saving measures. To evaluate ship technical performance and efficiency of fuel saving measure in a transparent way is critical to remove barrier that hindering the application of fuel saving measures. Thus, DNV has proposed Vessel Technical Index (VTI), which isolates the technical condition of in-service ship, by accounting and adjusting for the relevant operational factors and weather effects. Therefore, this index can evaluate ship technical performance in an effective and transparent way, which can help ship owners to optimize ship maintenance, which can also enhance the cooperation between stakeholders to remove barriers that hindering the application of fuel saving measures. VTI index is based on some measurement parameters, which need to be collected, saved and synchronized. The measurement data always includes noise, and the physical models to correct the operational factors and weather effects also have model uncertainty. Thus, a systematical method to collect data, process data, calculate VTI index and evaluate VTI uncertainty has been developed, which will be presented in this paper. Three use cases of the VTI index will also be discussed.

Presenting Author: Bingjie Guo DNV

Presenting Author Biography: I am a principal engineer at Group Research and Development in DNV. I have multi-disciplinal background on Marine Structure, Hydrodynamics and Cybernetics. I have 12 years of work experience on shipping decarbonization, shipping digitalization, ship responses in waves and autonomous ships. Right now, I am mainly working on shipping decarbonization, ship technical performance analysis, and numerical model for predicting ship fuel consumption and emission.

Authors:

Bingjie Guo DNV
Hans Anton Tvete DNV
Bjørn Johan Vartdal DNV
Shuai Wang DNV