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

Pavel Novotný, Jiří Vacula and Jozef Hrabovský

Energy, 2021, vol. 236, issue C

Abstract: 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.

Keywords: Mechanical efficiency; Lubrication system; Thrust bearing; Off-design operating conditions; Genetic algorithms; Turbocharger (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221016509
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:236:y:2021:i:c:s0360544221016509

DOI: 10.1016/j.energy.2021.121402

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().