Finite dimension thermodynamics-based preliminary design of multi-energy pumped thermal energy storage systems
Abstract
This paper presents a novel framework for the preliminary design of multi-energy Pumped Thermal Energy Storage (m-PTES) systems, also known as Carnot batteries. Built upon Finite Dimension Thermodynamics (FDT), the steady-state approach determines the operating conditions corresponding to near-maximum round-trip efficiency. The proposed method offers three key advantages. It is: 1) general, remaining independent of working fluids and cycle architecture; 2) analytical, relying on few physical parameters to describe system behavior; and 3) computationally very efficient, requiring minimal numerical resources. These attributes make FDT well suited for early-stage design of complex multi-energy PTES systems, where rapid evaluation of thermodynamic potential is essential. The proposed method is applied to a case study in northern Canada to illustrate the influence of main parameters on system performance. The results reveal that the storage temperature has a major impact on all key optimal operating conditions, including intermediate temperature, heat-exchanger conductances and heat rates. From an energetic standpoint, the optimal configuration corresponds to the highest achievable storage temperature. At a storage temperature of 800 °C, when transitioning from the endoreversible case to an irreversible case with 30% internal losses, the round-trip efficiency η RT decreases almost linearly from 0.63 to 0.42, while the optimal storage capacity C TES increases from 199 MWh to 263 MWh. Overall, this work demonstrates that FDT is a powerful framework for preliminary conceptual m-PTES design, enabling efficient identification of suitable working fluids and boundary conditions for further detailed modeling and optimization.
Fields of Study & Subjects
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Integrated Energy Systems Optimization
Advanced battery technologies research
Publication details
- Journal / source
- Applied Thermal Engineering
- Publisher
- Elsevier BV
- Volume
- 289
- Pages
- 129727–129727
- Publication date
- 9 January 2026
- Language
- EN