A Procedure for Predicting and Controlling the Ship Fuel Consumption: Its Implementation and Test

Abstract

In light of the International Maritime Organization guidelines, the new Regulation of the European Union urges shipping companies to set up a system for monitoring, reporting and verification of CO2 emissions based on ship fuel consumption. However, in nowadays market, there is a lack of techniques for fuel consumption monitoring that can be adopted in a real environment. The proposed procedure overcomes the use of Speed–Power curves, which are commonly utilized in the Naval Architecture, by means of a multiple linear regression model that exploits the navigation information usually available in modern ships. This procedure can be used both to alert technical management of a shipping company for anomalous fuel consumption and to quantify the fuel consumption reduction connected with any specific policy adopted to improve energy efficiency. Therefore, this can be particularly profitable for shipping companies and operators in order to claim for carbon credits. The proposed approach is currently implemented by the Energy Saving Technical Department of the Grimaldi Group on a Ro‐Ro Pax ship. Copyright © 2015 John Wiley & Sons, Ltd.

Control charts for monitoring ship operating conditions and CO2 emissions based on scalar‐on‐function regression

“…The Trim variable is obtained through the inclinometer sensor measurements. Additional information about the variables can be found in References , , and .…”

Analysis of profiles for monitoring of modern ship performance via partial least squares methods

“…The first variable is the SOG, which is known as the most important predictor of the FCPH . Moreover, FDA recommends to explore instantaneous information not only about variables but also about their derivatives, as they often give useful additional information.…”

“…For each voyage, J = 7 variables stored as profiles have been considered to describe the ship operating conditions and to be used for the prediction of FCPH, which is the scalar response: The first variable is the SOG, which is known as the most important predictor of the FCPH. 4,6,22,23 Moreover, FDA recommends to explore instantaneous information not only about variables but also about their derivatives, as they often give useful additional information. Then the SOG derivative (ie, the acceleration over ground) can be used as additional predictor.…”

Increase of Ship Fuel Consumption Due to the Added Resistance in Waves

“…More accurate ship performance evaluation in actual sea is essential not only from an economic but also an environmental aspect [2]. It is possible to predict the fuel consumption and costs [3,4] along with the Carbon dioxide (CO2) emission during the ship voyage at different sea states and thus choose the voyage regime with the highest economic benefit [5]. Even the empirical approach in fuel consumption estimations can give reasonably good predictions [6].…”