Simulation of a two-stroke diesel engine for propulsion in waves

Yum, Kevin Koosup; Taskar, Bhushan; Pedersen, Eilif; Steen, Sverre

doi:10.1016/j.ijnaoe.2016.08.004

Cited by 35 publications

(22 citation statements)

References 9 publications

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“…Simulation setup. Note that each block represents a FMU in the total co-simulation and that control signals and measurements are neglected [35] [35] five researchers looked into using a shaft generator to reduce the transients of a two stroke maritime engine powering a vessel in a transit operation caused by significant wave loads. In such operations the propeller might ventilate causing varying loads on the propeller and, hence, the propulsion system.…”

Section: A Research Collaborationmentioning

confidence: 99%

“…7. A more detailed discussion about the model connections including the control signals and measurements are given in [35]. Note that all connections between submodels shown in the figure are power bonds, according to the bond graph modeling theory as presented in section III-C, since the product of inputs and outputs for each submodel is power.…”

Section: A Research Collaborationmentioning

confidence: 99%

“…8. Simulation results showing the comparison of shaft speed between the hybrid propulsion system, including a shaft generator to reduce the transient wave loads, and a conventional propulsion system [35] been difficult and time consuming to perform in a traditional manner as a non-distributed system. In the co-simulation the local numerical solvers and corresponding time steps are shown in TABLE.…”

Section: A Research Collaborationmentioning

confidence: 99%

“…Nevertheless, such a verification of the co-simulation results is not considered here since it is thoroughly presented in [35] where the main results are that the co-simulation results converge to the results from the nondistributed system.…”

Section: A Research Collaborationmentioning

confidence: 99%

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Virtual prototyping of maritime systems and operations: applications of distributed co-simulations

et al. 2017

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Abstract-In this work we demonstrate the use of co-simulation technology in the maritime industry through four relevant examples of applications based on the outcome of the knowledgebuilding project Virtual Prototyping of Maritime Systems and Operations (ViProMa). Increasing computational capabilities opens for extended use of simulators in the design processes. Even complex systems can now be analyzed at an early stage of the design process and even in real time using distributed simulation technology. We conduct an assessment of the need for co-simulation technology in the industry, present a short background in co-simulation technology, and provide a short summary of the major findings and deliverables in the ViProMa project (http://viproma.no). The four case studies presented in this work pinpoint different advantages of using co-simulations in the industry, such as combining different modeling and simulation tools, improving collaboration without revealing sensitive information by using black-box models, testing conceptual designs in a fast and consistent manner before initiating building processes, and verifying the interplay between hardware and software in the simulation environment in hardware in the loop (HIL) tests. All the case studies are simulated using the open source co-simulation software Coral developed in the project, using the Functional Mock-up Interface (FMI) standard, and the co-simulation software can be downloaded from the project's web site.

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Section: A Research Collaborationmentioning

confidence: 99%

Section: A Research Collaborationmentioning

confidence: 99%

Section: A Research Collaborationmentioning

confidence: 99%

Section: A Research Collaborationmentioning

confidence: 99%

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Virtual prototyping of maritime systems and operations: applications of distributed co-simulations

et al. 2017

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“…The fundamental purpose of this is to obtain a fast execution time MVEM that captures the effects of changes in the combustion input signals, e.g., fuel injection start. In Yum et al [69], a complete ship propulsion system with a crank angle based cylinder model is used to investigate the effect of sea waves on the engine operation. Another interesting approach is presented in Mavrelos and Theotokatos [70,71], where the commercial software GT-power is used to model a dual-fuel two-stroke engine.…”

Section: Models Of Marine Two-stroke Diesel Enginesmentioning

confidence: 99%

Modeling and Control of EGR on Marine Two-Stroke Diesel Engines

Llamas¹

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The cover: The photo in the background shows several merchant ships arriving and leaving the Port of Barcelona. Several pictures were used to create the cover photo. All these images were taken by the author of the dissertation on board of a plane, seconds before landing at Barcelona Airport in May 2016. The author would like to thank Albert Escànez for doing an excellent job editing the images and designing the cover. Typeset with L A T E X 2εPrinted by LiU-Tryck, Linköping, Sweden 2018 i AbstractThe international marine shipping industry is responsible for the transport of around 90% of the total world trade. Low-speed two-stroke diesel engines usually propel the largest trading ships. This engine type choice is mainly motivated by its high fuel efficiency and the capacity to burn cheap low-quality fuels. To reduce the marine freight impact on the environment, the International Maritime Organization (IMO) has introduced stricter limits on the engine pollutant emissions. One of these new restrictions, named Tier III, sets the maximum NO x emissions permitted. New emission reduction technologies have to be developed to fulfill the Tier III limits on two-stroke engines since adjusting the engine combustion alone is not sufficient. There are several promising technologies to achieve the required NO x reductions, Exhaust Gas Recirculation (EGR) is one of them. For automotive applications, EGR is a mature technology, and many of the research findings can be used directly in marine applications. However, there are some differences in marine two-stroke engines, which require further development to apply and control EGR.The number of available engines for testing EGR controllers on ships and test beds is low due to the recent introduction of EGR. Hence, engine simulation models are a good alternative for developing controllers, and many different engine loading scenarios can be simulated without the high costs of running real engine tests. The primary focus of this thesis is the development and validation of models for two-stroke marine engines with EGR. The modeling follows a Mean Value Engine Model (MVEM) approach, which has a low computational complexity and permits faster than real-time simulations suitable for controller testing. A parameterization process that deals with the low measurement data availability, compared to the available data on automotive engines, is also investigated and described. As a result, the proposed model is parameterized to two different two-stroke engines showing a good agreement with the measurements in both stationary and dynamic conditions. Several engine components have been developed. One of these is a new analytic in-cylinder pressure model that captures the influence of the injection and exhaust valve timings without increasing the simulation time. A new compressor model that can extrapolate to low speeds and pressure ratios in a physically sound way is also described. This compressor model is a requirement to be able to simulate low engine loads. Moreover, a novel parameteriza...

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Scavenging of a Two-Stroke Engine

Rimša

2023

Lecture Notes in Intelligent Transportation and Infrastructure

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Simulation of a two-stroke diesel engine for propulsion in waves

Cited by 35 publications

References 9 publications

Virtual prototyping of maritime systems and operations: applications of distributed co-simulations

Virtual prototyping of maritime systems and operations: applications of distributed co-simulations

Modeling and Control of EGR on Marine Two-Stroke Diesel Engines

Scavenging of a Two-Stroke Engine

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