A Health-Aware Control Strategy for Enhanced Performance and Extended Hybrid Powertrain Lifecycle: A benchmark of different cost functions

The urgent need for marine transportation to reduce CO2 emissions has led to considering alternative energy and storage sources. The resulting increase in the complexity of powerplant architectures led to the development of advanced control strategies to achieve energy savings. At the same time, the health status of components has been often...

Physics-based, data-driven, and hybrid methods to predict the energy requirements for cargo heating: a case study for chemical tankers

Chemicals within a chemical tanker need heating to keep the cargo above a desired temperature. This research focuses on the prediction of the fuel consumption used to heat the cargo. There are three methods discussed in this research: a physics-based model (PBM), a data-driven model (DDM) and a hybrid model (HM). The PBM is a model based on the...

Optimal Control Energy Management Strategy for Hybrid Propulsion and Power Supply Vessels using Data-Driven Load Forecasting

Hybrid technology can significantly reduce fuel consumption and emission for vessels that have high power demand peaks followed by long periods of low loading. Hybrid technology refers to powertrain layouts that consist of hybrid propulsion and/or hybrid power supply. Advanced energy management strategies (EMS) are required to make optimal use...

Electrical Signature Analysis for Induction Motor Driven Thruster Assemblies

This research analyses the potential of Electrical Signature Analysis (ESA) as a means for condition monitoring of mechanical defects of induction motor driven thruster assemblies in the maritime industry. This is done by measuring the three phase current and voltage of three thrusters, with different health conditions, of a marine vessel...

Multi-Horizon Prediction of Power Consumption during Dynamic Positioning Operations: Physical, Data-Driven and Hybrid Model Approaches

A significant decrease in greenhouse gas emissions can be achieved by including a prediction of future power consumption in the control of ships’ power plants during transits. Moreover, including a prediction of power consumption in the Energy Management System (EMS) during Dynamic Positioning (DP) operations can also contribute to a reduction...

A Model Predictive Control Approach Towards the Energy Efficiency of Submerged Dredging

Due to the expected increase in coastal replenishment along the Dutch coastline, and the need to decrease pollutant emissions in the Netherlands and worldwide, the Autonomous Low Energy Replenishment Dredger (ALERD) is developed. The ALERD is a sustainable and cost-effective solution to perform coastal replenishment work along the Dutch...