Performance Analysis and Optimization of Compressed Air Energy Storage Integrated with Latent Thermal Energy Storage

Xiaoli Yu, Wenbo Dou, Zhiping Zhang, Yan Hong, Gao Qian and Zhi Li ()
Additional contact information
Xiaoli Yu: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Wenbo Dou: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Zhiping Zhang: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Yan Hong: School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Gao Qian: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
Zhi Li: College of Energy Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2024, vol. 17, issue 11, 1-19

Abstract: Recovering compression waste heat using latent thermal energy storage (LTES) is a promising method to enhance the round-trip efficiency of compressed air energy storage (CAES) systems. In this study, a systematic thermodynamic model coupled with a concentric diffusion heat transfer model of the cylindrical packed-bed LTES is established for a CAES system, and the numerical simulation model is validated by experimental data in the reference. Based on the numerical model, the charging–discharging performance of LTES and CAES systems is evaluated under different layouts of phase change materials (PCMs) in LTES, and the optimal layout of PCM is specified as a three-stage layout, since the exergy efficiency of LTES and round-trip efficiency are improved by 8.2% and 6.9% compared with a one-stage layout. Then, the proportion of three PCMs is optimized using response surface methods. The optimization results indicate that the exergy efficiency of LTES and round-trip efficiency of the CAES system are expected to be 80.9% and 73.3% under the PCM proportion of 0.48:0.3:0.22 for three stages, which are 7.0% and 13.1% higher than the original three-stage PCMs with equal proportions.

Keywords: underground energy storage; compressed air energy storage; latent thermal energy storage; compression waste heat recovery (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: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/11/2608/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/11/2608/ (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:17:y:2024:i:11:p:2608-:d:1403948

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 ().