prof. dr hab. inż. Wiesław Tarełko
- Profesor w Instytut Oceanotechniki i Okrętownictwa
Słowa kluczowe Pomoc
- artificial neural network, modelling,ship speed, engine fuel consumption
- artificial neural networks
- combustion characteristics
- diesel engine
- emission characteristics
- energia odnawialna
- greenhouse gas emission, flexible gaseous fuel spark-ignition engine
- hybrid renewable energy system
A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels
Biodiesel has been emerging as a potential and promising biofuel for the strategy of reducing toxic emissions and improving engine performance. Computational methods aiming to offer numerical solutions were inevitable as a study methodology which was sometimes considered the only practical method. Artificial neural networks (ANN) were data-processing systems, which were used to tackle many issues in engineering and science, especially...
This paper deals with modelling ship speed and fuel consumption using artificial neural network (ANN) techniques. These tools allowed us to develop ANN models that can be used for predicting both the fuel consumption and the travel time to the destination for commanded outputs (the ship driveline shaft speed and the propeller pitch) selected by the ship operator. In these cases, due to variable environmental conditions, making...
A decision-making system supporting selection of commanded outputs for a ship's propulsion system with a controllable pitch propeller
The ship's operators have to make decisions regarding the values of commanded outputs (commanded engine speed and pitch ratio) which ensure maximum vessel speed and minimum fuel consumption. Obviously, the presented decision problems are opposed. Therefore, there is a need for a compromise solution that enables more flexible vessel voyage planning. This paper deals with development of a computer-aided system supporting selection...
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