Performance optimization of thermal integrated-Carnot battery for waste heat utilization in industrial integrated energy systems

Xiaojie Lin , Xiangrui Jin , Jiahao Xu , Xueru Lin , Zheng Luo , Zitao Yu , Wei Zhong

ENG.Energy ›› 2026, Vol. 20 ›› Issue (1) : 10553

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ENG.Energy ›› 2026, Vol. 20 ›› Issue (1) :10553 DOI: 10.1007/s11708-026-1055-3
RESEARCH ARTICLE

Performance optimization of thermal integrated-Carnot battery for waste heat utilization in industrial integrated energy systems

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Abstract

Thermally integrated Carnot battery (TI-CB) systems offer unique advantages for industrial waste heat recovery, but their performance under fluctuating, off-design conditions remains poorly understood. To address this gap, this study proposes a quasi-dynamic mathematical model with solution methodologies applicable to both design and off-design operating conditions. A dynamic evaluation framework is also developed to account for the temporal mismatch between energy storage and release processes. A multi-operating-condition set constructed via multivariable sampling is used to enable systematic analysis of key design parameters under both design and off-design conditions. The results reveal that heat source utilization parameters and heat pump temperature rise are dominant factors affecting TI-CB performance, while off-design analysis shows that ORC mass flow rate variations have a more significant impact on system performance than heat pump fluctuations. Due to irreversible heat losses, an increase in the heat source temperature difference leads to a decrease in round-trip efficiency (ηrt) from 62.6% to 45.8%, while ηorc and ηex also exhibit downward trends. A higher temperature lift in the heat pump results a decrease in the mean COP from 7.6 to 4.8, whereas ηorc increases from 7.0% to 10.2%. Among working fluids evaluated, R1336mzz(Z) demonstrates superior performance but exhibits nonlinear behavior, while R1233zd(E) provides optimal stability across operating ranges, making it suitable for practical engineering applications.

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Keywords

Carnot battery / thermodynamic performance / integrated energy systems / modeling / waste heat recovery

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Xiaojie Lin, Xiangrui Jin, Jiahao Xu, Xueru Lin, Zheng Luo, Zitao Yu, Wei Zhong. Performance optimization of thermal integrated-Carnot battery for waste heat utilization in industrial integrated energy systems. ENG.Energy, 2026, 20(1): 10553 DOI:10.1007/s11708-026-1055-3

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References

[1]

IEA 2025. Global Energy Review 2025. Paris: IEA

[2]

Gao K , Zhao X , Guo R . et al. Identifying roles of a cleaner energy consumption structure in industrial green transformation: A multi-dimensional perspective considering spatial spillovers and transmission mechanisms. Energy, 2025, 323: 135776

[3]

Saleh Saleh M A , AlShafeey M . et al. Recurrent neural network strategies for decoupling energy consumption and greenhouse gas emissions in Hungary’s industrial sector. Energy Conversion and Management X, 2025, 28: 101219

[4]

Zhang Y , Ge Z , Yang Y . et al. Carbon reduction and flexibility enhancement of the CHP-based cascade heating system with integrated electric heat pump. Energy Conversion and Management, 2023, 280: 116801

[5]

Hao J , Zheng P , Song Y . et al. A carbon dioxide energy storage system with high-temperature graded heat storage structure: Thermodynamic intrinsic cycle construction and performance analysis. Frontiers in Energy, 2025, 19(2): 240–255

[6]

Wang D , Wu J , Liu S . et al. Performance evaluation and optimization of a novel compressed CO2 energy storage system based on gas-liquid phase change and cold-electricity cogeneration. Frontiers in Energy, 2025, 19(2): 205–226

[7]

Huang J , Zhao Y , Song J . et al. A review of progress in thermo-mechanical energy storage technologies for combined cooling, heating and power applications. Frontiers in Energy, 2025, 19(2): 117–143

[8]

Dumont O , Frate G F , Pillai A . et al. Carnot battery technology: A state-of-the-art review. Journal of Energy Storage, 2020, 32: 101756

[9]

Shamsi S S M , Barberis S , Maccarini S . et al. Large scale energy storage systems based on carbon dioxide thermal cycles: A critical review. Renewable and Sustainable Energy Reviews,, 2024, 192: 114245

[10]

Thermischer kraftspeicher ad. DE2810890A1, 1979

[11]

Eppinger B , Steger D , Regensburger C . et al. Carnot battery: Simulation and design of a reversible heat pump-organic Rankine cycle pilot plant. Applied Energy, 2021, 288: 116650

[12]

Li J , Chen X , Shen J . et al. Optimal heat storage temperature and performance of ORC-based Carnot battery at various application scenarios. Energy Conversion and Manage, 2024, 318: 118906

[13]

Zamengo M , Yoshida K , Morikawa J . et al. Numerical evaluation of a Carnot battery system comprising a chemical heat storage/pump and a Brayton cycle. Journal of Energy Storage, 2021, 41: 102955

[14]

Albert M , Ma Z , Bao H . et al. Operation and performance of Brayton pumped thermal energy storage with additional latent storage. Applied Energy, 2022, 312: 118700

[15]

Miao Z , Zhang M , Yan P . et al. Thermodynamic analysis of a low-temperature Carnot battery promoted by the LNG cold energy. Journal of Energy Storage, 2024, 88: 111619

[16]

Zhao Y , Liu M , Song J . et al. Advanced exergy analysis of a Joule-Brayton pumped thermal electricity storage system with liquid-phase storage. Energy Conversion and Management, 2021, 231: 113867

[17]

Sun R , Zhao Y , Liu M . et al. Thermodynamic design and optimization of pumped thermal electricity storage systems using supercritical carbon dioxide as the working fluid. Energy Conversion and Management, 2022, 271: 116322

[18]

Chiapperi J D , Greitzer E M , Tan C S . et al. Attributes of bi-directional turbomachinery for pumped thermal energy storage. Journal of Turbomachinery, 2023, 145(3): 031007

[19]

Pecchini M , Peccolo S , Benato A . et al. Analysis of the discharge process of a TES-based electricity storage system. Journal of Energy Storage, 2024, 100: 113518

[20]

Zhao Y , Song J , Zhao C . et al. Thermodynamic investigation of latent-heat stores for pumped-thermal energy storage. Journal of Energy Storage, 2022, 55: 105802

[21]

Dai R , Tian R , Zheng S . et al. Finite-time thermodynamic and economic analysis of Rankine Carnot battery based on life-cycle method. Applied Thermal Engineering, 2023, 230: 120813

[22]

Zhang Y , Xie Z . Thermodynamic efficiency and bounds of pumped thermal electricity storage under whole process ecological optimization. Renewable Energy, 2022, 188: 711–720

[23]

Lu C , Shi X , He Q . et al. Dynamic modeling and numerical investigation of novel pumped thermal electricity storage system during startup process. Journal of Energy Storage, 2022, 55: 105409

[24]

Wang L , Lin X , Chai L . et al. Cyclic transient behavior of the Joule-Brayton based pumped heat electricity storage: Modeling and analysis. Renewable and Sustainable Energy Reviews, 2019, 111: 523–534

[25]

Frate G F , Paternostro L , Ferrari L . et al. Off-design of a pumped thermal energy storage based on closed Brayton cycles. r, 2022, 144(2): 021016

[26]

Gonzalez-Ayala J , Salomone-González D , Medina A . et al. Multicriteria optimization of Brayton-like pumped thermal electricity storage with liquid media. Journal of Energy Storage, 2021, 44: 103242

[27]

Jiang Y , Su W , Wu C . et al. Enhanced thermally integrated Carnot battery using low-GWP working fluid pair: Multi-aspect analysis and multi-scale optimization. Applied Energy, 2024, 376: 124226

[28]

Wang L , Lin X , Zhang H . et al. Analytic optimization of Joule-Brayton cycle-based pumped thermal electricity storage system. Journal of Energy Storage, 2022, 47: 103663

[29]

Kurşun B , Ökten K . et al. Comprehensive energy, exergy, and economic analysis of the scenario of supplementing pumped thermal energy storage (PTES) with a concentrated photovoltaic thermal system. Energy Conversion and Management, 2022, 260: 115592

[30]

Bell I H , Quoilin S , Georges E . et al. A generalized moving-boundary algorithm to predict the heat transfer rate of counterflow heat exchangers for any phase configuration. Applied Thermal Engineering, 2015, 79: 192–201

[31]

Plis M , Rusinowski H . et al. Mathematical modeling of an axial compressor in a gas turbine cycle. Journal of Power Technologies, 2016, 96: 194–199

[32]

Cooke D H . et al. On prediction of off-design multistage turbine pressures by Stodola’s ellipse. Journal of Engineering for Gas Turbines and Power, 1985, 107(3): 596–606

[33]

Hu S , Yang Z , Li J . et al. Thermo-economic analysis of the pumped thermal energy storage with thermal integration in different application scenarios. Energy Conversion and Management, 2021, 236: 114072

[34]

Han Z , Jia X , Li P . et al. Preliminary design of radial inflow turbine and working fluid selection based on particle swarm optimization. Energy Conversion and Management, 2019, 199: 111933

[35]

Yang X , Xu F , Sun E . et al. Enhanced coupling of low-grade heat sources with Carnot battery through optimal temperature matching. Energy Conversion and Management, 2025, 339: 119953

[36]

Xia R , Wang Z , Cao M . et al. Comprehensive performance analysis of cold storage Rankine Carnot batteries: Energy, exergy, economic, and environmental perspectives. Energy Conversion and Management, 2023, 293: 117485

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