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Application of zeotropic mixtures in Carnot batteries: Energy, exergy, economic and environmental (4E) analysis

  • Heyong Li
  • , Qinglu Song*
  • , Shoujun Sun
  • , Chuantong Zhang
  • , Dechang Wang
  • , Sai Zhou
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The Carnot battery, an emerging large-scale energy storage technology, has garnered significant attention due to its high compatibility with renewable energy and waste heat source. At present, although there are many studies on Carnot batteries, there are still few studies on the application of zeotropic mixtures in Carnot batteries. Consequently, this study selects three types of Carnot batteries and constructs their models utilizing Aspen HYSYS. The genetic algorithm within MATLAB is used to optimize the performance of the system. The energy, exergy, economic and environmental performance of the system are analyzed to compare the performance gap between pure fluids and zeotropic mixtures in the system. The findings indicate that the PR-PTES system demonstrates superior performance, achieving a maximum round trip efficiency (ηrt) of 84% when the thermal storage temperature is maintained between 85 and 95 °C. The maximum increase of ηrt, energy storage density (ESD) and air emission reduction (AER) are 37.9%, 18.2% and 17.1%, respectively, when the PR-PTES system uses zeotropic mixtures compared with pure fluids. This enhancement is attributed to the temperature glide of the zeotropic mixtures, which facilitates improved temperature matching between the hot and cold fluids within the heat exchanger, consequently boosting the system's performance. Furthermore, the research reveals that the HP subsystem, when employing R1233zd(E)/R290 as the working fluid, exhibits optimal performance. Meanwhile, the ORC subsystem achieves its best performance with R1233zd(E)/R1234ze(E) as the working fluid. © 2026 Elsevier Ltd.
Original languageEnglish
Article number120631
Number of pages17
JournalJournal of Energy Storage
Volume152
Issue numberPart A
Online published19 Jan 2026
DOIs
Publication statusPublished - 30 Mar 2026

Funding

This work was supported by the Key Research Program of the State Key Laboratory of Cryogenic Science and Technology (T-2025cryo-17), Natural Science Foundation of Shandong Province, China (Grant No. ZR2024QE263), College Youth Innovation Team of Shandong Province, China (Grant No. 2024KJH151), Young Talent of Lifting Engineering for Science and Technology in Shandong, China (Grant No. SDAST2024QTA048) and Key R & D Program of Shandong Province, China (2024TSGC0577).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Carnot battery
  • Genetic algorithm
  • Temperature glide
  • Waste heat recovery
  • Zeotropic mixture

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