liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modeling of a Large Marine Two-Stroke Diesel Engine with Cylinder Bypass Valve and EGR System
MAN Diesel & Turbo, Copenhagen, Denmark.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1584-8165
MAN Diesel & Turbo, Copenhagen, Denmark.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8646-8998
2015 (English)In: 10th IFAC Conference on Manoeuvring and Control of Marine Craft MCMC 2015: Copenhagen, 24–26 August 2015 / [ed] Roberto Galeazzi and Mogens Blanke, IFAC Papers Online, 2015, Vol. 48, p. 273-278Conference paper, Published paper (Refereed)
Abstract [en]

A nonlinear mean value engine model (MVEM) of a two-stroke turbocharged marine diesel engine is developed, parameterized and validated against measurement data. The goal is to have a computationally fast and accurate engine model that captures the main dynamics and can be used in the development of control systems for the newly introduced EGR system. The tuning procedure used is explained, and the result is a six-state MVEM with seven control inputs that capture the main system dynamics.

Place, publisher, year, edition, pages
IFAC Papers Online, 2015. Vol. 48, p. 273-278
Keywords [en]
Engine modeling, diesel engines, parametrization, validation, nonlinear systems
National Category
Control Engineering Vehicle Engineering
Identifiers
URN: urn:nbn:se:liu:diva-136802DOI: 10.1016/j.ifacol.2015.10.292Scopus ID: 2-s2.0-84992491352OAI: oai:DiVA.org:liu-136802DiVA, id: diva2:1091189
Conference
10th IFAC Conference on Manoeuvring and Control of Marine Craft
Available from: 2017-04-26 Created: 2017-04-26 Last updated: 2018-02-05Bibliographically approved
In thesis
1. Modeling and Control of EGR on Marine Two-Stroke Diesel Engines
Open this publication in new window or tab >>Modeling and Control of EGR on Marine Two-Stroke Diesel Engines
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The 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 NOx 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 NOx 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 parameterization algorithm is shown to handle well the model nonlinearities and to obtain a good model agreement with a large number of tested compressor maps. Furthermore, the engine model is complemented with dynamic models for ship and propeller to be able to simulate transient sailing scenarios, where good EGR controller performance is crucial. The model is used to identify the low load area as the most challenging for the controller performance, due to the slower engine air path dynamics. Further low load simulations indicate that sensor bias can be problematic and lead to an undesired black smoke formation, while errors in the parameters of the controller flow estimators are not as critical. This result is valuable because for a newly built engine a proper sensor setup is more straightforward to verify than to get the right parameters for the flow estimators.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018. p. 200
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1904
Keywords
Modeling for control, Ship Propulsion, Dynamic Simulation, Exhaust Gas Recirculation, Mean Value Engine Model, Parameterization, Compressor, Model Extrapolation
National Category
Control Engineering Vehicle Engineering
Identifiers
urn:nbn:se:liu:diva-144596 (URN)10.3384/diss.diva-144596 (DOI)9789176853689 (ISBN)
Public defence
2018-03-23, Ada Lovelace, Ingång 27, B-huset, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Funder
EU, Horizon 2020, 634135VINNOVA, LINK-SIC
Available from: 2018-01-30 Created: 2018-01-30 Last updated: 2018-05-15Bibliographically approved

Open Access in DiVA

fulltext(1027 kB)82 downloads
File information
File name FULLTEXT01.pdfFile size 1027 kBChecksum SHA-512
c5e7f458c94a6cad97243a1ef2eb269d3bdab9b2cc344640c1162ae5e15be44d8962b56d24c096ce559fef798b8d3d7054977243e26f5d9e99164d0aa3250fef
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records BETA

Llamas, XavierEriksson, Lars

Search in DiVA

By author/editor
Llamas, XavierEriksson, Lars
By organisation
Vehicular SystemsFaculty of Science & Engineering
Control EngineeringVehicle Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 82 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 437 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf