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 language | English |
|---|---|
| Article number | 120631 |
| Number of pages | 17 |
| Journal | Journal of Energy Storage |
| Volume | 152 |
| Issue number | Part A |
| Online published | 19 Jan 2026 |
| DOIs | |
| Publication status | Published - 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)
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SDG 7 Affordable and Clean Energy
Research Keywords
- Carnot battery
- Genetic algorithm
- Temperature glide
- Waste heat recovery
- Zeotropic mixture
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