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Using Artificial Neural Networks for predicting ship fuel consumption

Nguyen Van Giao, Sakthivel Rajamohan, Rudzik Krzysztof, Kozak Janusz, Sharma Prabhakar, Pham Nguyen Dang Khoa, Nguyen Phuoc Quy Phong, Nguyen Xuan Phuong

Polish Maritime Research

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2023

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nr 2

39--60

EN

In marine vessel operations, fuel costs are major operating costs which affect the overall profitability of the maritime transport industry. The effective enhancement of using ship fuel will increase ship operation efficiency. Since ship fuel consumption depends on different factors, such as weather, cruising condition, cargo load, and engine condition, it is difficult to assess the fuel consumption pattern for various types of ships. Most traditional statistical methods do not consider these factors when predicting marine vessel fuel consumption. With technological development, different statistical models have been developed for estimating fuel consumption patterns based on ship data. Artificial Neural Networks (ANN) are some of the most effective artificial methods for modelling and validating marine vessel fuel consumption. The application of ANN in maritime transport improves the accuracy of the regression models developed for analysing interactive relationships between various factors. The present review sheds light on consolidating the works carried out in predicting ship fuel consumption using ANN, with an emphasis on topics such as ANN structure, application and prediction algorithms. Future research directions are also proposed and the present review can be a benchmark for mathematical modelling of ship fuel consumption using ANN.

2

Optimization model to manage ship fuel consumption and navigation time

Rudzki Krzysztof, Gomulka Piotr, Hoang Anh Tuan

Polish Maritime Research

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2022

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nr 3

141--153

EN

Owners of vessels are interested in the lowest possible operating costs. These costs are mainly related to fuel consumption during navigation. To manage it rationally, the main decision-making problem is selecting the proper parameters of the ship’s propulsion system during navigation. In practice, operators of ships equipped with controllable pitch propellers controlled in manual mode make a selection of the commanded outputs based on their own knowledge, intuition, and all accessible information regarding sea conditions. In many cases, their decisions are unreasonable or incorrect. Therefore, it would be desirable to support their decision-making in selecting the commanded outputs. For this reason, we have decided to develop a decision support system in the form of an expert system. This computer-aided system supports the selection of the commanded outputs of the ship’s propulsion system. The most important component of this system is the two-criteria optimization model, allowing the rational management of the ship fuel consumption and navigation time.

3

Optymalizacja kosztów paliwa statku w czasie podróży morskiej

Kowalski A.

Autobusy : technika, eksploatacja, systemy transportowe

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2013

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R. 14, nr 3

575-582

PL

Opłaty za paliwa okrętowe stanowią zasadniczy składnik kosztów w transporcie morskim. Podstawowym zagadnieniem w żegludze jest określenie dla danego statku prędkości ekonomicznej. W artykule zaproponowano skuteczną i obiektywną metodę optymalizacji kosztów paliwa w czasie podróży morskiej. Zaproponowany sposób obliczeń mogą wykorzystywać w codziennej praktyce nie tylko morskiej kapitanowie statków a także służby eksploatacyjne firm żeglugowych. Przedstawiono wykorzystanie metody dla nowo budowanych jednostek a także dla ciągle eksploatowanych starszych statków.

EN

The main component of sea transportation expenses are ship's fuel charges. The main aim of economic approach to shipping is to define economical speed of the vessel. This article present the effective and objective method of optimization for sea passage ship's fuel expenses. The way of calculations may be used by both ship's captain and operating department of shipping company. This method is suitable for currently operating as well new build vessels.

4

Metoda wyznaczania optymalnych parametrów wpływających na zużycie paliwa statku w rzeczywistych warunkach eksploatacyjnych

Górski W.

Zeszyty Naukowe Akademii Morskiej w Gdyni

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2011

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nr 69

35-43

PL

W referacie przedstawiono metodę wyznaczania optymalnych wartości parametrów eksploatacyjnych statku wpływających na zużycie paliwa przez jego silniki główne. Metoda wykorzystuje model teoretyczny określający zapotrzebowanie mocy w funkcji kluczowych parametrów, tzn. prędkości, zanurzenia i trymu, a także uwzględnia stan powierzchni kadłuba i śruby. Model teoretyczny pozwala na aproksymację funkcji zapotrzebowania mocy silników statku dzięki właściwemu doborowi parametrów funkcji aproksymującej. W artykule zaproponowano użycie algorytmów genetycznych do doboru tych parametrów – daje to możliwość "uczenia" się modelu na podstawie danych uzyskanych w trakcie eksploatacji jednostki.

EN

Paper presents the method for determination of optimum values of ship’s operational parameters influencing main engine’s fuel consumption. Method is based on theoretical model which allows for determination of the power requirement as the function of key parameters i.e. speed, draught, trim as well as condition of the hull and propeller surface. Theoretical model is capable of approximation of main engine’s power requirement based on the appropriate selection of parameters of approximation function. It is proposed in the paper to apply genetic algorithm to determine these parameters. Such approach allows the model to "learn" trough the data recorded during the vessel operation.