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Solution strategy for increasing the efficiency of turbochargers by reducing energy losses in the lubrication system

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU141477" target="_blank" >RIV/00216305:26210/21:PU141477 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.1016/j.energy.2021.121402" target="_blank" >https://doi.org/10.1016/j.energy.2021.121402</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.energy.2021.121402" target="_blank" >10.1016/j.energy.2021.121402</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Solution strategy for increasing the efficiency of turbochargers by reducing energy losses in the lubrication system

  • Popis výsledku v původním jazyce

    The mechanical efficiency of turbochargers is mainly influenced by the lubrication system, which includes bearings. Energy loss can be prevented by optimising the individual elements of the lubrication system under preferred operating conditions, but it is also necessary to consider verification of functionality under off-design operating conditions. Evaluating, optimising or verifying bearing performances requires different levels of computational models with different physical depths of descriptions of individual processes. The solution strategy combines three levels of bearing computational models and effectively solves the problem. Genetic algorithms and an efficient model of bearing lubrication are used to optimise the bearing. The off-design transient operating processes of the rotor-bearing system are solved by a virtual turbocharger, and the off-design steady-state operating conditions are solved by an advanced computational model using computational fluid dynamics. The strategy is applied to reduce friction losses in thrust bearing and represents a reduction in bearing mechanical losses under the preferred operating conditions by 35%. These savings lead to 20% energy savings in the lubrication system of the stationary internal combustion engine turbocharger without significant risk of the lubrication system failing. The strategy is generally applicable to any element of the lubrication system.

  • Název v anglickém jazyce

    Solution strategy for increasing the efficiency of turbochargers by reducing energy losses in the lubrication system

  • Popis výsledku anglicky

    The mechanical efficiency of turbochargers is mainly influenced by the lubrication system, which includes bearings. Energy loss can be prevented by optimising the individual elements of the lubrication system under preferred operating conditions, but it is also necessary to consider verification of functionality under off-design operating conditions. Evaluating, optimising or verifying bearing performances requires different levels of computational models with different physical depths of descriptions of individual processes. The solution strategy combines three levels of bearing computational models and effectively solves the problem. Genetic algorithms and an efficient model of bearing lubrication are used to optimise the bearing. The off-design transient operating processes of the rotor-bearing system are solved by a virtual turbocharger, and the off-design steady-state operating conditions are solved by an advanced computational model using computational fluid dynamics. The strategy is applied to reduce friction losses in thrust bearing and represents a reduction in bearing mechanical losses under the preferred operating conditions by 35%. These savings lead to 20% energy savings in the lubrication system of the stationary internal combustion engine turbocharger without significant risk of the lubrication system failing. The strategy is generally applicable to any element of the lubrication system.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20301 - Mechanical engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Energy

  • ISSN

    0360-5442

  • e-ISSN

    1873-6785

  • Svazek periodika

    236

  • Číslo periodika v rámci svazku

    121402

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    16

  • Strana od-do

    1-16

  • Kód UT WoS článku

    000709231100008

  • EID výsledku v databázi Scopus

    2-s2.0-85110280797