A Diesel Engine Modelling Approach for Ship Propulsion Real-Time Simulators

Altosole, Marco; Campora, Ugo; Figari, Massimo; Laviola, Michele; Martelli, Michele

doi:10.3390/jmse7050138

Cited by 32 publications

(19 citation statements)

References 22 publications

(30 reference statements)

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“…Hence, different optimization and machine learning (ML) methods are taking place and are coupled with the numerical engine models to easily find the optimal values of different parameters and to fulfill the objective and the purpose of the studies [20,21]. However, before performing any simulations, the engine models must be calibrated using real data at different operating points such as the compression ratio of the turbocharger, pressure before and after the intercooler, firing pressure, exhaust temperature before and after the turbine, amount of mass flow rate and BSFC to ensure the accuracy of the computed results [22,23]. Different studies have been performed based on optimization techniques.…”

Section: Figurementioning

confidence: 99%

Data Driven In-Cylinder Pressure Diagram Based Optimization Procedure

Tadros

Ventura

Soares

2020

JMSE

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An engine optimization model is developed to fit the calculated in-cylinder pressure diagram to the experimental data by finding the optimal values of the start angle of injection and the amount of injected fuel for different engine loads. Firstly, the engine model is built in Ricardo Wave software and some parts are calibrated using data collected from the manufacturer. Then, an optimization process is performed based on the fitness function that includes the objective of the study and the penalty functions to express constraints. This optimization environment simulates the performance of a marine generator system for three different loads by minimizing the mean absolute percentage error (MAPE) between the in-cylinder pressure simulated data and the measured data along 40 degrees of the combustion process and by verifying the firing pressure and the engine brake power. The percentage of error between the calculated and the real thermodynamic data does not exceed 3.4% and the MAPE between the calculated and the real in-cylinder pressure diagram along the combustion process does not exceed 5.7% for the different loads. The proposed method can be further used to find the optimal value of different input parameters during the calibration process of different engine numerical models.used and the required details in thermodynamics, combustion, heat transfer, fluid and chemical parts. Figure 2 presents a general overview of the model's structure to simulate the performance of different ICEs.

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Section: Figurementioning

confidence: 99%

Data Driven In-Cylinder Pressure Diagram Based Optimization Procedure

Tadros

Ventura

Soares

2020

JMSE

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“…In recent years many studies have focused on increasing the energy efficiency of ships through energy recovery from exhaust gases [3] or through the optimization of the performance of the diesel engines installed on board [4,5]. Moreover, many methods have been developed to preventively evaluate the energy efficiency index of a ship already during the early stage design [6,7].…”

Section: Introductionmentioning

confidence: 99%

Design of Hybrid-Electric Megayachts: The Impact of Operative Profile and Smart Berthing Infrastructures

Mauro

Ghigliossi

Bucci

et al. 2021

JMSE

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Nowadays, sustainable navigation is becoming a trending topic not only for merchant ships but also for pleasure vessels such as motoryachts. Therefore, the adoption of a hybrid-electric propulsion system and the installation of on-board storage devices could increase the greenness of a megayacht. This paper analyses the performance of three commercial propulsive solutions, using a dynamic operative profile and considering the influences of the smart berthing infrastructures. Results compare the yearly fuel consumptions of the analysed configurations for a reference megayacht.

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“…This approach can effectively overcome the limitation caused by using only a single modeling approach. In the study carried out by Altosole et al, for meeting the requirement of real-time ship maneuvering simulation, the cylinder simulation was entirely based on a set of five-dimensional numerical matrices, each of which was generated by a 0-D model [6]. It was revealed from the simulation results that this modeling approach can achieve similar transient response but reduce the simulation time of about 99%; however, the in-cylinder pressure trace cannot be predicted.…”

Section: Introductionmentioning

confidence: 99%

Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model

Shen

Zhang

Bai

et al. 2020

JMSE

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In this article, to meet the requirements of marine engine room simulator on both the simulation speed and simulation accuracy, a mean value engine model (MVEM) for the 7S80ME-C9.2 marine two-stroke diesel engine was developed and validated in the MATLAB/Simulink environment. In consideration of the significant influence of turbocharger compressor on both the engine steady state performance and transient response, a novel compressor model (mass flow rate and isentropic efficiency model) based on a previous study carried out by the first author was proposed with the aim of achieving satisfactory simulation accuracy within the whole engine operating envelope. The predictive and extrapolative capability of the proposed compressor model was validated by carrying out simulation experiments and analyzing the simulation results under steady state condition and during transient process. To make the traditional MVEM capable of predicting in-cylinder pressure trace, the cylinder pressure analytic model proposed by Eriksson and Andersson for the four-stroke SI (spark ignition) engine was adapted to the 7S80ME-C9.2 marine two-stroke diesel engine based on the characteristic of in-cylinder pressure trace of this type of engine and then coupled to the MVEM developed in this paper. Since there is no need to solve any differential equation as it is done in the 0-D model, the advantage of MVEM in running speed is not impaired. For achieving satisfactory simulation accuracy by using the analytic model, the model parameters were calibrated elaborately by using engine measured data and a 0-D model and the relevant tuning procedure was discussed in detail.

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A Diesel Engine Modelling Approach for Ship Propulsion Real-Time Simulators

Cited by 32 publications

References 22 publications

Data Driven In-Cylinder Pressure Diagram Based Optimization Procedure

Data Driven In-Cylinder Pressure Diagram Based Optimization Procedure

Design of Hybrid-Electric Megayachts: The Impact of Operative Profile and Smart Berthing Infrastructures

Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model

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