Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model

The crankshaft dynamics model is of vital importance to a multitude of aspects on engine diagnostics; however, systematic investigations of such models performance (especially for large two-stroke diesel engines that are widely used in the power generation and shipping industries) have not been repo...

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Main Authors: Konstantinos-Marios Tsitsilonis, Gerasimos Theotokatos, Nikolaos Xiros, Malcolm Habens
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/10/2486
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author Konstantinos-Marios Tsitsilonis
Gerasimos Theotokatos
Nikolaos Xiros
Malcolm Habens
author_facet Konstantinos-Marios Tsitsilonis
Gerasimos Theotokatos
Nikolaos Xiros
Malcolm Habens
author_sort Konstantinos-Marios Tsitsilonis
collection DOAJ
description The crankshaft dynamics model is of vital importance to a multitude of aspects on engine diagnostics; however, systematic investigations of such models performance (especially for large two-stroke diesel engines that are widely used in the power generation and shipping industries) have not been reported in the literature. This study aims to cover this gap by systematically investigating the parameters that affect the performance of a two-stroke diesel engine crankshaft dynamics model, such as the numerical scheme as well as the engine components inertia and friction. Specifically, the following alternatives are analysed: (a) two optimal performing numerical schemes, in particular, a stiff ordinary differential equations (ODE) solver and a fast solver based on a piecewise Linear Time-Invariant (LTI) scheme method, (b) the linear and the non-linear inertia-speed approaches, and (c) three engine friction submodels of varying complexity. All the potential combinations of the alternatives are investigated, and the crankshaft dynamics model performance is evaluated by employing Key Performance Indicators (KPIs), which consider the results accuracy compared to the measured data, the computational time, and the energy balance error. The results demonstrate that the best performing combination includes the stiff ODE solver, the constant inertia-speed approach and the most simplistic engine friction submodel. However, the LTI numerical scheme is recommended for applications that require fast response due to the significant savings in computational time with an acceptable compromise in the model results accuracy.
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spelling doaj.art-abbc9bbbd44342369d7c17094bc0b8552023-11-20T00:31:13ZengMDPI AGEnergies1996-10732020-05-011310248610.3390/en13102486Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics ModelKonstantinos-Marios Tsitsilonis0Gerasimos Theotokatos1Nikolaos Xiros2Malcolm Habens3Maritime Safety Research Centre, Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, 100 Montrose Street, Glasgow G4 0LZ, UKMaritime Safety Research Centre, Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, 100 Montrose Street, Glasgow G4 0LZ, UKSchool of Naval Architecture and Marine Engineering, University of New Orleans, New Orleans, LA 70148, USADatum Electronics Ltd., Castle St, East Cowes PO32 6EZ, UKThe crankshaft dynamics model is of vital importance to a multitude of aspects on engine diagnostics; however, systematic investigations of such models performance (especially for large two-stroke diesel engines that are widely used in the power generation and shipping industries) have not been reported in the literature. This study aims to cover this gap by systematically investigating the parameters that affect the performance of a two-stroke diesel engine crankshaft dynamics model, such as the numerical scheme as well as the engine components inertia and friction. Specifically, the following alternatives are analysed: (a) two optimal performing numerical schemes, in particular, a stiff ordinary differential equations (ODE) solver and a fast solver based on a piecewise Linear Time-Invariant (LTI) scheme method, (b) the linear and the non-linear inertia-speed approaches, and (c) three engine friction submodels of varying complexity. All the potential combinations of the alternatives are investigated, and the crankshaft dynamics model performance is evaluated by employing Key Performance Indicators (KPIs), which consider the results accuracy compared to the measured data, the computational time, and the energy balance error. The results demonstrate that the best performing combination includes the stiff ODE solver, the constant inertia-speed approach and the most simplistic engine friction submodel. However, the LTI numerical scheme is recommended for applications that require fast response due to the significant savings in computational time with an acceptable compromise in the model results accuracy.https://www.mdpi.com/1996-1073/13/10/2486systematic investigationcrankshaft dynamicslumped parameter modellarge two-stroke internal combustion enginepower and marine applications
spellingShingle Konstantinos-Marios Tsitsilonis
Gerasimos Theotokatos
Nikolaos Xiros
Malcolm Habens
Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model
Energies
systematic investigation
crankshaft dynamics
lumped parameter model
large two-stroke internal combustion engine
power and marine applications
title Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model
title_full Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model
title_fullStr Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model
title_full_unstemmed Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model
title_short Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model
title_sort systematic investigation of a large two stroke engine crankshaft dynamics model
topic systematic investigation
crankshaft dynamics
lumped parameter model
large two-stroke internal combustion engine
power and marine applications
url https://www.mdpi.com/1996-1073/13/10/2486
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