Transient Momentum Balance—A Method for Improving the Performance of Mean-Value Engine Plant Models

Katrašnik, Tomaž

doi:10.3390/en6062892

Cited by 8 publications

(14 citation statements)

References 22 publications

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“…The most commonly used types are the cycle mean value engine models (MVEM) [28][29][30][31][32] and the zero-dimensional models [33][34][35][36][37]. The former are fast running and need less input, but they require an elaborate setting up phase in order to predict the engine behaviour with sufficient accuracy.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

2015

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Abstract:In this article, the operation of a large two-stroke marine diesel engine including various cases with turbocharger cut-out was thoroughly investigated by using a modular zero-dimensional engine model built in MATLAB/Simulink environment. The model was developed by using as a basis an in-house modular mean value engine model, in which the existing cylinder block was replaced by a more detailed one that is capable of representing the scavenging ports-cylinder-exhaust valve processes. Simulation of the engine operation at steady state conditions was performed and the derived engine performance parameters were compared with the respective values obtained by the engine shop trials. The investigation of engine operation under turbocharger cut-out conditions in the region from 10% to 50% load was carried out and the influence of turbocharger cut-out on engine performance including the in-cylinder parameters was comprehensively studied. The recommended schedule for the combination of the turbocharger cut-out and blower activation was discussed for the engine operation under part load conditions. Finally, the influence of engine operating strategies on the annual fuel savings, CO2 emissions reduction and blower operating hours for a Panamax container ship operating at slow steaming conditions is presented and discussed. OPEN ACCESSEnergies 2015, 8 5739

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Section: Introductionmentioning

confidence: 99%

Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

2015

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“…where C d denotes the flow coefficient, A geom the geometric flow area, p up the upstream total pressure, T up the upstream total temperature, R up the ideal gas constant and ψ the pressure function for subsonic or sonic flow conditions which amounts to Equations (17) and (18) in [29] (p. 2898).…”

Section: Gas Flow Transfer Elementmentioning

confidence: 99%

“…In this case, the equations for the flow through the orifice are coupled with the mass, momentum and energy equations on the left-hand and right-hand sides of the observed pipe-like section, as shown in Figure 3. The mass, momentum and energy equations of a pipe-like section with the constant cross-section (A L = A R = A) are given by Equations (25)- (27) in [29] (p. 2900), where L (left) and R (right) represent the up-and down-stream side of the pipe-like element, respectively. This approach also enables modeling of the pressure recovery from the orifice to the left-hand side of the pipe.…”

Section: Gas Flow Transfer Elementmentioning

confidence: 99%

“…Governing equations applied for a storage element in [4] are presented in detail in [29] (pp. 2896-2897).…”

Section: Storage Element With Constant Volumementioning

confidence: 99%

“…The equation for the compressible flow through the orifice is commonly used to model the transition from the total state in a storage element to the flow field in the transfer element [26,27,29]:…”

Section: Gas Flow Transfer Elementmentioning

confidence: 99%

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Katrašnik

2016

Energies

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Abstract:The paper outlines a procedure for the computer-controlled calibration of the combined zero-dimensional (0D) and one-dimensional (1D) thermodynamic simulation model of a turbocharged internal combustion engine (ICE). The main purpose of the calibration is to determine input parameters of the simulation model in such a way as to achieve the smallest difference between the results of the measurements and the results of the numerical simulations with minimum consumption of the computing time. An innovative calibration methodology is based on a novel interaction between optimization methods and physically based methods of the selected ICE sub-systems. Therein physically based methods were used for steering the division of the integral ICE to several sub-models and for determining parameters of selected components considering their governing equations. Innovative multistage interaction between optimization methods and physically based methods allows, unlike the use of well-established methods that rely only on the optimization techniques, for successful calibration of a large number of input parameters with low time consumption. Therefore, the proposed method is suitable for efficient calibration of simulation models of advanced ICEs.

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Towards a Powerful Hardware-in-the-Loop System for Virtual Calibration of an Off-Road Diesel Engine

Riccio

Monzani²,

Landi³

2022

Energies

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A common challenge among internal combustion engine (ICE) manufacturers is shortening the development time while facing requirements and specifications that are becoming more complex and border in scope. Virtual simulation and calibration are effective instruments in the face of these demands. This article presents the development of zero-dimensional (0D)—real-time engine and exhaust after-treatment system (EAS) models and their deployment on a Virtual test bench (VTB). The models are created using a series of measurements acquired in a real test bench, carefully performed in view of ensuring the highest reliability of the models themselves. A zero-dimensional approach was chosen to guarantee that models could be run in real-time and interfaced to the real engine Electronic Control Unit (ECU). Being physically based models, they react to changes in the ECU calibration parameters. Once the models are validated, they are then integrated into a Simulink® based architecture with all the Inputs/Outputs connections to the ECU. This Simulink® model is then deployed on a Hardware in the Loop (HiL) machine for ECU testing and calibration. The results for engine and EAS performance and emissions align with both steady-state and transient measurements. Finally, two different applications of the HiL system are presented to explain the opportunities and advantages of this tool integrated within the standard engine development. Examples cited refer to altitude calibration activities and soot loading investigation on vehicle duty cycles. The cases described in this work are part of the actual development of one of the latest engines developed by Kohler Engines: the KDI 1903 TCR Stage V. The application of this methodology reveals a great potential for engine development and may become an essential tool for calibration engineers.

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Transient Momentum Balance—A Method for Improving the Performance of Mean-Value Engine Plant Models

Cited by 8 publications

References 22 publications

Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

Innovative Calibration Method for System Level Simulation Models of Internal Combustion Engines

Towards a Powerful Hardware-in-the-Loop System for Virtual Calibration of an Off-Road Diesel Engine

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