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Statistical physics and thermodynamic evaluation of CO2-activated carbon pairs for cooling cycle
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DOI：10.1007/s10450-026-00703-1.png)
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Abstract
En 中文
The growing demand for efficient and sustainable thermal management technologies has intensified research on adsorption-based refrigeration systems. In this study, CO2 adsorption on two highly microporous activated carbons, Maxsorb III and ACF-A20, is investigated using a grand canonical statistical physics (GCSP) framework to provide a detailed thermodynamic and energetic description of the process. The monolayer model with a single effective energy provides an excellent representation of the experimental isotherms and allows the determination of key physicochemical parameters, including site occupancy, density of accessible adsorption sites, saturation capacity, and adsorption energy. The results indicate that CO2 adsorption is predominantly governed by physisorption within confined porous structures. The temperature dependence of the model parameters shows a systematic decrease in site occupancy, accompanied by enhanced site accessibility and reduced saturation capacity, reflecting the combined influence of thermal agitation and confinement effects. Based on the derived adsorption framework, thermodynamic functions such as internal energy, enthalpy, and Helmholtz free energy are evaluated as functions of pressure and temperature, confirming the spontaneous and exothermic nature of the adsorption process and its relevance for thermal energy storage and conversion applications. Furthermore, these thermodynamic insights are applied to assess the performance of two adsorption refrigeration cycle configurations. At 363 K, the predicted coefficients of performance (COP) are 0.59 and 0.89 for cycle I, and 0.79 and 0.64 for cycle II, for Maxsorb III and ACF-A20, respectively. Overall, this work highlights the capability of statistical physics modeling to bridge microscopic adsorption mechanisms with macroscopic thermal system performance, providing useful guidelines for the design and optimization of advanced adsorption cooling systems.
Keywords:
Statistical physics
Adsorption cooling systems
CO2
Maxsorb III
ACF-A20
Coefficient of performance (COP)
Journal
A
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3.1
Papers:
2.1K
Citations:
3.9K
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