Yuanyuan Jiao , Xingjian Dai , Yifei Wang , Lu Wei , Hualiang Zhang , Haisheng Chen
{"title":"Case study on flywheel energy storage systems: LPTN-based transient thermal analysis","authors":"Yuanyuan Jiao , Xingjian Dai , Yifei Wang , Lu Wei , Hualiang Zhang , Haisheng Chen","doi":"10.1016/j.est.2025.116319","DOIUrl":null,"url":null,"abstract":"<div><div>This study established a lumped parameter thermal network model for vertical flywheel energy storage systems, considering three critical gaps in conventional thermal modeling: oversimplified radiative heat transfer within sealed chambers, unquantified dynamic losses, including rotor eddy currents and flywheel friction, and transient hysteresis in stator water jacket cooling. Validated through extreme continuous charge-discharge experiments of 200–400 kW, the simulated temperatures exhibit a maximum deviation of 2 °C at steady-state, demonstrating superior accuracy in capturing both spatial distributions of the system and the temporal variations of coolant temperatures. Furthermore, most of the exergy loss in the heat transfer process is concentrated in the motor stator, casing, and cooling water. Improving the heat transfer paths in these areas would help enhance overall system efficiency. The outcomes offer valuable insights for correlative research on flywheel energy storage system thermal management technologies, providing significant references for the design and optimization of the system.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"120 ","pages":"Article 116319"},"PeriodicalIF":8.9000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of energy storage","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352152X25010321","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
This study established a lumped parameter thermal network model for vertical flywheel energy storage systems, considering three critical gaps in conventional thermal modeling: oversimplified radiative heat transfer within sealed chambers, unquantified dynamic losses, including rotor eddy currents and flywheel friction, and transient hysteresis in stator water jacket cooling. Validated through extreme continuous charge-discharge experiments of 200–400 kW, the simulated temperatures exhibit a maximum deviation of 2 °C at steady-state, demonstrating superior accuracy in capturing both spatial distributions of the system and the temporal variations of coolant temperatures. Furthermore, most of the exergy loss in the heat transfer process is concentrated in the motor stator, casing, and cooling water. Improving the heat transfer paths in these areas would help enhance overall system efficiency. The outcomes offer valuable insights for correlative research on flywheel energy storage system thermal management technologies, providing significant references for the design and optimization of the system.
期刊介绍:
Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.