Performance prediction of full-scale ship and analysis by means of on-board monitoring (Part 1 ship performance prediction in actual seas)

Abstract

In recent years, it has become important to evaluate whether ship propulsive performance achieves the design performance not only in a calm sea condition but also in a seaway. Various on-board monitoring systems have been developed and fitted on-board to check the performance of ships in a seaway. The evaluation can also be fed back to a new ship design. A method for prediction of ship performance in actual seas based on a physical model is described here. Prediction of steady forces in waves, wind forces, drift forces, and steering forces is described from the viewpoint of accurate practical prediction. The prediction of the engine operating point in winds and waves is also treated here. Examples of these prediction methods are illustrated. Performance analysis by an on-board monitoring system using the performance prediction method discussed here is described in the Part 2 of this paper.

Neural Network Approach for Predicting Ship Speed and Fuel Consumption

“…Concerning the vessel's behavior during ocean operation, model scale ship behavior assessments based on model experiments and theoretical computations may be compared with log book data. However, enough studies have still not been executed through examination of the similarities with on-board monitoring information [1]. Due to economic and time constraints, any of those models can only be verified for a relatively limited number of cases, which are in general different from the large variety of conditions in which a ship can be required to operate in her lifetime.…”

“…In the past few years, great attention has been devoted to the efficiency of ship operation in different ocean-going conditions [1,2]. To decrease the greenhouse gas effect, enhancement of the hull shape design [3,4] and the power plant arrangement [5,6] has been conducted in order to reduce ship emissions and fuel consumption.…”

A comprehensive review on the prediction of ship energy consumption and pollution gas emissions

“…The related data on ship energy consumption can be obtained by the real-time monitoring tool of energy efficiency (Chi et al, 2018;Tsujimoto and Orihara, 2019) and fuel consumption monitoring system (Capezza et al, 2019). On this basis, the big data analysis technology can be adopted to evaluate the energy efficiency level of the energy-consumed equipment and to reveal the causes of low energy efficiency, thus realizing the intelligent analysis and optimization decisions which are difficult to achieve only depending on the operators' experience (Jeon et al, 2021;Lee et al, 2018b).…”

Vibration Edge Computing in Maritime IoT

“…In new build vessels a variety of control/monitoring systems is available [54]. Those systems support applications such as: CM, control, online documentation, trending, maintenance check lists and training through simulation videos, weather, sea conditions, voyage data [59,60]. The state-of-theart in ship CM data processing falls within one of two embedded system categories [21,60]:…”