Hybrid Modelling Approach of a Four-stroke Medium Speed Diesel Engine

Conference paper (2021)

Authors

A. Coraddu University of Strathclyde
Miltos Kalikatzarakis University of Strathclyde
R.D. Geertsma Ship Design, Production and Operations - Mechanical, Maritime and Materials Engineering
Luca Oneto University of Genova
Research Group
Ship Design, Production and Operations (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2021 A. Coraddu, Miltos Kalikatzarakis, R.D. Geertsma, Luca Oneto
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Published Date

2021

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Ship Design, Production and Operations

Abstract

Diesel engines will remain a fundamental component of propulsion systems due to their maturity, reliability, and power density. Building Digital Twins of the propulsion system is one feasible solution to pursue the optimal propulsions system operation, estimating system states and efficiency. This work will investigate a modelling approach that combines high accuracy while satisfying real-time prediction capabilities by coupling a physics-based model with a data-driven modelling approach. We will demonstrate that the proposed hybridisation framework can provide state-of-the-art prediction capabilities in real-time, utilising operational data from a turbocharged, four-stroke medium-speed diesel engine.