Validation of Filtering Method for Evaluating Ship Performance in Calm Sea Using Onboard Monitoring Data

Abstract

Evaluation of ship performance in actual seas is important for reduction of greenhouse gas emissions from the shipping sector. Recently, activities to investigate ship performance by means of onboard monitoring have become increasingly widespread. While onboard monitoring can collect a vast amount of data, it is necessary to follow a proper procedure for an accurate evaluation of ship performance.

Prior to this study, the authors proposed a filtering method called the Resistance Criteria Method (RCM) with the aim of extracting onboard monitoring data collected in a calm sea, in which the rate of added resistance is a key parameter. This study addresses validation of RCM using onboard monitoring data of a panamax container ship and a medium range tanker. The validation was carried out by comparing the ship speed and fuel consumption in the onboard monitoring data and a voyage simulation using the evaluated performance based on the conventional method and RCM as an input. The results showed that application of RCM is effective for evaluating ship performance based on onboard monitoring data.