Numerical analysis of a flywheel energy storage system for low carbon powertrain applications
Journal article
Authors | Motaman, S., Eltaweel, M., Reza Herfatmanesh, M., Knichel, T. and Deakin, A. |
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Abstract | Flywheel energy storage has emerged as a viable energy storage technology in recent years due to its large instantaneous power and high energy density. Flywheel offers an onboard energy recovery and storage system which is durable, efficient, and environmentally friendly. The flywheel and the housing surface temperatures can be considerably influenced by the friction induced windage losses associated with non-vented airflows in the air-gap of a high-speed rotating flywheel. Many engineering applications have been interested in the features of radial and axial air-gap flows. The flow within the annulus of a flywheel is extremely complicated. This study has developed a numerical technique using ANSYS Fluent solver to model turbulent Taylor vortices formation and oscillation for thermal performance evaluation, and windage loss prediction of high-speed flywheel storage systems, operating under atmospheric and partial vacuum conditions. The numerical model has been experimentally validated with good accuracy. Several rotational speeds and pressures were investigated experimentally and numerically. The results demonstrated that a 40 % reduction in the operating pressure can reduce the flywheel surface temperature and windage loss by 20 % and 30 %, respectively. Consequently, a partial vacuum environment can achieve better energy conversion efficiencies provided an appropriate bearing seal is achieved to maintain the pressure inside the housing. The investigated flywheel energy storage system can reduce the fuel consumption of an average light-duty vehicle in the UK by 22 % and decrease CO2 emission by 390 kg annually. |
Keywords | Computational fluid dynamics; Model validation; Rotor skin friction coefficient |
Year | 2023 |
Journal | Journal of Energy Storage |
Journal citation | 61, pp. 1-13 |
Publisher | Elseiver |
ISSN | 2352-1538 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.est.2023.106808 |
Web address (URL) | https://www.sciencedirect.com/science/article/pii/S2352152X23002050 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 11 Feb 2024 |
Publication process dates | |
Accepted | 30 Jan 2024 |
Deposited | 13 Mar 2024 |
https://repository.derby.ac.uk/item/9wy4z/numerical-analysis-of-a-flywheel-energy-storage-system-for-low-carbon-powertrain-applications
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