Towards Marine Dual Fuel Engines Digital Twins—Integrated Modelling of Thermodynamic Processes and Control System Functions

Stoumpos, Sokratis; Theotokatos, Gerasimos; Mavrelos, Christoforos; Boulougouris, Evangelos

doi:10.3390/jmse8030200

Cited by 37 publications

(45 citation statements)

References 25 publications

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“…The proposed framework relied on a digital twin of the engine or on novelty detection algorithms, which were compared against state-of-the-art fully supervised approaches. Utilising data from the validated simulation model of Stoumpos et al (2020), the authors demonstrated that their approach can overcome the problematic requirement for a large amount of labelled samples, that are rarely available, with a decrease in performance of less than 1% compared to state-of-the-art fully-supervised approaches.…”

Section: Ddmsmentioning

confidence: 99%

Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions

Coraddu

Oneto

Cipollini

et al. 2021

Ships and Offshore Structures

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Fast diesel engine models for real-time prediction in dynamic conditions are required to predict engine performance parameters, to identify emerging failures early on and to establish trends in performance reduction. In order to address these issues, two main alternatives exist: one is to exploit the physical knowledge of the problem, the other one is to exploit the historical data produced by the modern automation system. Unfortunately, the first approach often results in hard-to-tune and very computationally demanding models that are not suited for real-time prediction, while the second approach is often not trusted because of its questionable physical grounds. In this paper, the authors propose a novel hybrid model, which combines physical and data-driven models, to model diesel engine exhaust gas temperatures in operational conditions. Thanks to the combination of these two techniques, the authors were able to build a fast, accurate and physically grounded model that bridges the gap between the physical and data driven approaches. In order to support the proposal, the authors will show the performance of the different methods on real-world data collected from the Holland Class Oceangoing Patrol Vessel.

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Section: Ddmsmentioning

confidence: 99%

Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions

Coraddu

Oneto

Cipollini

et al. 2021

Ships and Offshore Structures

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“…This study was based on a modified version of an existing engine thermodynamic model developed for simulating the engine steady state and transient operations in the GT-ISE software [51,52]. In addition, a combinatorial method that employs the nondominated sorting genetic algorithm NSGA III optimisation genetic algorithm along with a fully factorial design of experiments was developed and employed to achieve this study aim.…”

Section: Research Aimmentioning

confidence: 99%

“…The engine model employed in this study is of the zero/one-dimensional (0D/1D) type and was realised in the GT-ISE (v. 2019, Gamma Technologies, Westmont, Illinois, USA) [58], as this software offers the tools and functionalities to enable the effective engine modelling. The engine model of the investigated engine, without considering the EGR and ABP systems, was previously developed for steady state conditions, as described in [51], and transient conditions, as reported in [52]. The detailed description of the model is reported in the previous publications of the authors [51,52] and therefore, it will not repeated herein.…”

Section: Engine Modellingmentioning

confidence: 99%

“…The engine model of the investigated engine, without considering the EGR and ABP systems, was previously developed for steady state conditions, as described in [51], and transient conditions, as reported in [52]. The detailed description of the model is reported in the previous publications of the authors [51,52] and therefore, it will not repeated herein.…”

Section: Engine Modellingmentioning

confidence: 99%

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Multiobjective Optimisation of a Marine Dual Fuel Engine Equipped with Exhaust Gas Recirculation and Air Bypass Systems

Stoumpos

Theotokatos

2020

Energies

Self Cite

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Dual fuel engines constitute a viable solution for enhancing the environmental sustainability of the shipping operations. Although these engines comply with the Tier III NOx emissions regulations when operating at the gas mode, additional measures are required to ensure such compliance at the diesel mode. Hence, this study aimed to optimise the settings of a marine four-stroke dual fuel (DF) engine equipped with exhaust gas recirculation (EGR) and air bypass (ABP) systems by employing simulation and optimisation techniques, so that the engine when operating at the diesel mode complies with the ‘Tier III’ requirements. A previous version of the engine thermodynamic model was extended to accommodate the EGR and ABP systems modelling. Subsequently, a combination of optimisation techniques including multiobjective genetic algorithms (MOGA) and design of experiments (DoE) parametric runs was employed to identify both the engine and the EGR/ABP systems settings with the objective to minimise the engine brake specific fuel consumption and reduce the NOx emissions below the Tier III limit. The derived simulation results were employed to analyse the EGR system involved interactions and their effects on the engine performance and emissions trade-offs. A sensitivity analysis was performed to reveal the interactions between considered engine settings and quantify their impact on the engine performance parameters. The derived results indicate that EGR rates up to 35% are required, so that the investigated engine with EGR and ABP systems, when operating at the diesel mode, achieves compliance with the ‘Tier III’ NOx emissions, whereas the associated engine brake specific fuel consumption penalty is up to 8.7%. This study demonstrates that the combination of EGR and ABP systems can constitute a functional solution for achieving compliance with the stringent regulatory requirements and provides a better understating of the underlined phenomena and interactions of the engine subsystems parameters variations for the investigated engine equipped with EGR and ABP systems.

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“…All these techniques, which are actually very effective, currently have the limit of providing for the offline processing of the data obtained in the monitoring and subsequent adjustment of the engine. However, numerous studies [8][9][10][11][12] have demonstrated the possibility of simulating engine operation with remarkable precision.…”

Section: Introductionmentioning

confidence: 99%

Performance In-Live of Marine Engines: A Tool for Its Evaluation

Dodero¹,

Bertagna²,

Marinò³

et al. 2020

Applied Sciences

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Currently, most ships use internal combustion engines (ICEs) either as propulsion engines or generator sets. The growing concern in environmental protection along with the consequent international rule framework motivated shipowners and designers to replace conventional power systems in order to mitigate pollutant emissions. Therefore, manufacturers have made available on the market many technological solutions to use alternative fuels (Liquefied Natural Gas or LNG, methanol, etc.). However, the main energy source is still fossil fuel, so almost all the ICEs are made up of turbocharged diesel engines (TDEs). TDEs have still the potential to improve their efficiency and reduce fuel consumption and pollutant emissions. In particular, the interpretation of Industry 4.0 given by manufacturers enabled the installation of a robust network of sensors on TDEs, which is able to allow reliable power management systems and make ships much more efficient regarding operating costs (fuel consumption and maintenance) and environmental footprint. In this paper, a software tool that is capable of processing the in-live performance of TDEs is described. The great novelty consists in the ability to process all the information detected by the sensor network in-live and dynamically optimize TDEs’ operation, whereas the common practice involves the collection of performance data and their off-line processing.

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Towards Marine Dual Fuel Engines Digital Twins—Integrated Modelling of Thermodynamic Processes and Control System Functions

Cited by 37 publications

References 25 publications

Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions

Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions

Multiobjective Optimisation of a Marine Dual Fuel Engine Equipped with Exhaust Gas Recirculation and Air Bypass Systems

Performance In-Live of Marine Engines: A Tool for Its Evaluation

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