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Search results for: CONSUMPTION MODELLING

  • Heavy duty vehicle fuel consumption modelling using artificial neural networks

    Publication

    - Year 2019

    In this paper an artificial neural network (ANN) approach to modelling fuel consumption of heavy duty vehicles is presented. The proposed method uses easy accessible data collected via CAN bus of the truck. As a benchmark a conventional method, which is based on polynomial regression model, is used. The fuel consumption is measured in two different tests, performed by using a unique test bench to apply the load to the engine. Firstly,...

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  • Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks

    Publication

    - Year 2019

    One of the ways to improve the fuel economy of heavy duty trucks is to operate the combustion engine in its most efficient operating points. To do that, a mathematical model of the engine is required, which shows the relations between engine speed, torque and fuel consumption in transient states. In this paper, easy accessible exploitation data collected via CAN bus of the heavy duty truck were used to obtain a model of a diesel...

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  • Applying artificial neural networks for modelling ship speed and fuel consumption

    Publication

    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...

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  • Integrated membrane bioreactors modelling: A review on new comprehensive modelling framework

    Publication
    • J. Mąkinia
    • G. Mannina
    • M. Alliet
    • C. Brepols
    • J. Comas
    • J. Harmand
    • M. Heran
    • N. Kalboussi
    • Á. Robles
    • F. T. Rebouças... and 5 others

    - BIORESOURCE TECHNOLOGY - Year 2021

    Integrated Membrane Bioreactor (MBR) models, combination of biological and physical models, have been representing powerful tools for the accomplishment of high environmental sustainability. This paper, produced by the International Water Association (IWA) Task Group on Membrane Modelling and Control, reviews the state-of-the-art, identifying gaps for future researches, and proposes a new integrated MBR modelling framework. In...

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  • USING ARTIFICIAL NEURAL NETWORKS FOR PREDICTING SHIP FUEL CONSUMPTION

    Publication
    • G. V. Nguyen
    • R. Sakthivel
    • K. Rudzki
    • J. Kozak
    • S. Prabhakar
    • N. D. K. Pham
    • P. Q. P. Nguyen
    • N. X. Phuong

    - Polish Maritime Research - Year 2023

    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...

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