Thermodynamic Performance and Parametric Analysis of an Ice Slurry-Based Cold Energy Storage System

Bingxin Zhao, Jie Li, Chenchong Zhou, Zicheng Huang and Nan Xie ()
Additional contact information
Bingxin Zhao: School of Energy Science and Engineering, Central South University, No. 932 South Lushan Road, Changsha 410083, China
Jie Li: School of Energy Science and Engineering, Central South University, No. 932 South Lushan Road, Changsha 410083, China
Chenchong Zhou: School of Energy Science and Engineering, Central South University, No. 932 South Lushan Road, Changsha 410083, China
Zicheng Huang: School of Energy Science and Engineering, Central South University, No. 932 South Lushan Road, Changsha 410083, China
Nan Xie: School of Energy Science and Engineering, Central South University, No. 932 South Lushan Road, Changsha 410083, China

Energies, 2025, vol. 18, issue 15, 1-22

Abstract: Subcooling-based ice slurry production faces challenges in terms of energy efficiency and operational stability, which limit its applications for large-scale cold energy storage. A thermodynamic model is established to investigate the effects of key control parameters, including evaporation temperature, condensation temperature, subcooling degree, water flow rate, type of refrigerant, and adiabatic compression efficiency. The results show that using the refrigerant R161 achieves the highest energy efficiency, indicating that R161 is the optimal refrigerant in this research. When the evaporation and condensation temperatures are −10 °C and 30 °C, respectively, the system achieves the maximum comprehensive performance coefficient of 2.43. Moreover, under a flow velocity of 0.8 m/s and a temperature of 0.5 °C, the system achieves a peak ice production rate of 45.28 kg/h. A high water temperature and high flow velocity would significantly degrade the system’s ice production capacity. This research provides useful guidance for the design, optimization, and application of ice slurry-based cold energy storage systems.

Keywords: cold energy storage; ice slurry production; performance optimization; parametric analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/15/4158/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/15/4158/ (text/html)

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:gam:jeners:v:18:y:2025:i:15:p:4158-:d:1718329

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().