IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i10p2486-d358320.html
   My bibliography  Save this article

Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model

Author

Listed:
  • Konstantinos-Marios Tsitsilonis

    (Maritime Safety Research Centre, Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, 100 Montrose Street, Glasgow G4 0LZ, UK
    Datum Electronics Ltd., Castle St, East Cowes PO32 6EZ, UK)

  • Gerasimos Theotokatos

    (Maritime Safety Research Centre, Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, 100 Montrose Street, Glasgow G4 0LZ, UK)

  • Nikolaos Xiros

    (School of Naval Architecture and Marine Engineering, University of New Orleans, New Orleans, LA 70148, USA)

  • Malcolm Habens

    (Datum Electronics Ltd., Castle St, East Cowes PO32 6EZ, UK)

Abstract

The crankshaft dynamics model is of vital importance to a multitude of aspects on engine diagnostics; however, systematic investigations of such models performance (especially for large two-stroke diesel engines that are widely used in the power generation and shipping industries) have not been reported in the literature. This study aims to cover this gap by systematically investigating the parameters that affect the performance of a two-stroke diesel engine crankshaft dynamics model, such as the numerical scheme as well as the engine components inertia and friction. Specifically, the following alternatives are analysed: (a) two optimal performing numerical schemes, in particular, a stiff ordinary differential equations (ODE) solver and a fast solver based on a piecewise Linear Time-Invariant (LTI) scheme method, (b) the linear and the non-linear inertia-speed approaches, and (c) three engine friction submodels of varying complexity. All the potential combinations of the alternatives are investigated, and the crankshaft dynamics model performance is evaluated by employing Key Performance Indicators (KPIs), which consider the results accuracy compared to the measured data, the computational time, and the energy balance error. The results demonstrate that the best performing combination includes the stiff ODE solver, the constant inertia-speed approach and the most simplistic engine friction submodel. However, the LTI numerical scheme is recommended for applications that require fast response due to the significant savings in computational time with an acceptable compromise in the model results accuracy.

Suggested Citation

  • Konstantinos-Marios Tsitsilonis & Gerasimos Theotokatos & Nikolaos Xiros & Malcolm Habens, 2020. "Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model," Energies, MDPI, vol. 13(10), pages 1-29, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2486-:d:358320
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/10/2486/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/10/2486/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mathias Reynaert, 2021. "Abatement Strategies and the Cost of Environmental Regulation: Emission Standards on the European Car Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 454-488.
    2. Theotokatos, Gerasimos & Guan, Cong & Chen, Hui & Lazakis, Iraklis, 2018. "Development of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settings," Energy, Elsevier, vol. 143(C), pages 533-545.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ale-Chilet, Jorge & Chen, Cuicui & Li, Jing & Reynaert, Mathias, 2021. "Colluding Against Environmental Regulation," TSE Working Papers 21-1204, Toulouse School of Economics (TSE).
    2. Rik L. Rozendaal & Herman R. J. Vollebergh, 2021. "Policy-Induced Innovation in Clean Technologies: Evidence from the Car Market," CESifo Working Paper Series 9422, CESifo.
    3. Yujie Lin & Joshua Linn, 2023. "Environmental Regulation and Product Attributes: The Case of European Passenger Vehicle Greenhouse Gas Emissions Standards," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(1), pages 1-32.
    4. Antonio M. Bento & Mark R. Jacobsen & Christopher R. Knittel & Arthur A. van Benthem, 2020. "Estimating the Costs and Benefits of Fuel-Economy Standards," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 1(1), pages 129-157.
    5. Xi Chen & Zhigang Chen, 2021. "Can China’s Environmental Regulations Effectively Reduce Pollution Emissions?," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    6. Lu, Tingmingke, 2023. "On the income elasticity and regressivity of emission taxation," Economics Letters, Elsevier, vol. 223(C).
    7. Pál, László & Sándor, Zsolt, 2023. "Comparing procedures for estimating random coefficient logit demand models with a special focus on obtaining global optima," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    8. Réquillart, Vincent & Soler, Louis-Georges & Zang, Yu, 2016. "Quality standards versus nutritional taxes: Health and welfare impacts with strategic firms," Journal of Health Economics, Elsevier, vol. 50(C), pages 268-285.
    9. Mathias Reynaert & James M. Sallee, 2021. "Who Benefits When Firms Game Corrective Policies?," American Economic Journal: Economic Policy, American Economic Association, vol. 13(1), pages 372-412, February.
    10. Anna Matas & José-Luis Raymond & Andrés Domínguez, 2016. "Changes in fuel economy: An analysis of the Spanish car market," Working Papers 2016/15, Institut d'Economia de Barcelona (IEB).
    11. Durrmeyer, Isis & Samano, Mario, 2016. "To Rebate or Not to Rebate: Fuel Economy Standards vs. Feebates?," TSE Working Papers 16-732, Toulouse School of Economics (TSE), revised May 2017.
    12. Jain, Tarun & Hazra, Jishnu, 2020. "Optimal regulation and sustainable product design under uncertainties," International Journal of Production Economics, Elsevier, vol. 225(C).
    13. Littlejohn, Christina & Proost, Stef, 2022. "What role for electric vehicles in the decarbonization of the car transport sector in Europe?," Economics of Transportation, Elsevier, vol. 32(C).
    14. Leard, Benjamin & Linn, Joshua & Springel, Katalin, 2020. "Have US Fuel Economy and Greenhouse Gas Emissions Standards Improved Social Welfare?," RFF Working Paper Series 20-06, Resources for the Future.
    15. Lu, Tingmingke, 2023. "Response of new car buyers to alternative energy policies: The role of vehicle use heterogeneity," Economic Modelling, Elsevier, vol. 120(C).
    16. Doremus, Jacqueline & Helfand, Gloria & Liu, Changzheng & Donahue, Marie & Kahan, Ari & Shelby, Michael, 2019. "Simpler is better: Predicting consumer vehicle purchases in the short run," Energy Policy, Elsevier, vol. 129(C), pages 1404-1415.
    17. Shivam Goyal & Dixit Garg & Sunil Luthra, 2021. "Sustainable production and consumption: analysing barriers and solutions for maintaining green tomorrow by using fuzzy-AHP–fuzzy-TOPSIS hybrid framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16934-16980, November.
    18. Jenn, Alan & Azevedo, Inês & Michalek, Jeremy Joseph, 2019. "Alternative-Fuel-Vehicle Policy Interactions Increase U.S. Greenhouse Gas Emissions," OSF Preprints n69tp, Center for Open Science.
    19. Nano Barahona & Francisco A Gallego & Juan-Pablo Montero, 2020. "Vintage-Specific Driving Restrictions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(4), pages 1646-1682.
    20. Itai Ater & Nir S. Yoseph, 2022. "The Impact of Environmental Fraud on the Used Car Market: Evidence from Dieselgate," Journal of Industrial Economics, Wiley Blackwell, vol. 70(2), pages 463-491, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2486-:d:358320. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.