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arxiv: 2605.20446 · v1 · pith:AWSINZS3new · submitted 2026-05-19 · ❄️ cond-mat.mtrl-sci

Evaluating Blended Refrigerants for Thermochemical Energy Storage and Circular Refrigerant Recovery using Activated Carbons

H. Lucassen , A. Luna-Triguero , J. M. Vicent-Luna This is my paper

Pith reviewed 2026-05-21 06:40 UTC · model grok-4.3

classification ❄️ cond-mat.mtrl-sci
keywords thermochemical energy storagerefrigerant blendsactivated carbonadsorptionmixture adsorptionrefrigerant recoverycircular economy
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The pith

Refrigerant blends achieve higher energy storage densities than pure refrigerants on activated carbons through cooperative adsorption and efficient packing.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper investigates adsorption of pure refrigerants and commercial blends onto activated carbons to improve thermochemical energy storage and enable refrigerant recovery. It presents a workflow that starts from pure-component adsorption data and uses ideal adsorbed solution theory plus adsorption potential theory to forecast mixture performance. The central result is that blends reach greater storage densities than single refrigerants because different molecules pack together more efficiently and interact cooperatively. This finding matters for using renewable heat more effectively while also separating and recycling refrigerants to lessen their environmental impact. The same method works with laboratory measurements, not only simulations.

Core claim

Refrigerant blends such as R410A, R407F, R417A, and R417C can deliver higher thermochemical energy storage densities in activated carbons than their pure constituents R32, R125, R134a, and R600 because of cooperative adsorption and more efficient molecular packing, as calculated from pure-component isotherms via a multiscale workflow of Monte Carlo simulations, ideal adsorbed solution theory, and adsorption potential theory.

What carries the argument

The workflow that applies ideal adsorbed solution theory and adsorption potential theory to predict multicomponent adsorption and energy storage densities directly from pure-component data.

If this is right

  • Existing commercial refrigerant blends can be used immediately in adsorption energy storage systems to reach higher densities without new pure fluids.
  • Activated carbons can serve dual roles in storage and in selective separation for recovering individual refrigerant components.
  • Screening of additional blend compositions becomes possible using only routine pure-isotherm experiments.
  • Thermochemical storage tied to renewable heat sources gains practicality through the improved densities.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Blend ratios could be further tuned to maximize packing efficiency beyond current commercial mixtures.
  • The selective adsorption observed might support on-site purification steps in refrigeration equipment.
  • The same pure-to-mixture prediction approach could transfer to other gas-mixture adsorption tasks such as gas separation.

Load-bearing premise

Ideal adsorbed solution theory and adsorption potential theory accurately predict the adsorption behavior and storage densities of refrigerant mixtures using only pure-component measurements.

What would settle it

An experimental measurement of the energy storage density for a blend such as R410A on one activated carbon, compared against the density calculated from the pure R32 and R125 isotherms.

Figures

Figures reproduced from arXiv: 2605.20446 by A. Luna-Triguero, H. Lucassen, J. M. Vicent-Luna.

Figure 1
Figure 1. Figure 1: Snapshot of Bhatia-01 (a), Bhatia-02 (b), Bhatia-03 (c), CS400 (d), CS1000 (e) and CS1000a (f). [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Adsorption isotherms of R32 (a), R125 (b), R134a [PITH_FULL_IMAGE:figures/full_fig_p007_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Comparison of adsorption isotherms (I) dual-site Sips fitting of GCMC data(—) and APT prediction ( [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Isosteric heat of adsorption for R32 (a), R125 (b), [PITH_FULL_IMAGE:figures/full_fig_p008_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Storage density validation for Bhatia-01 with R125 at 283–353 K for PSA ( [PITH_FULL_IMAGE:figures/full_fig_p009_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Storage density 3D plots of R125 in Bhatia-01 (a) [PITH_FULL_IMAGE:figures/full_fig_p009_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Correlation between maximum achievable loading [PITH_FULL_IMAGE:figures/full_fig_p010_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Adsorption isotherm (a), isosteric heat of adsorption methods (b), isosteric heat of adsorption per component (c), [PITH_FULL_IMAGE:figures/full_fig_p011_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Storage density 3D plots of R407F (a) and R417A (b) in Bhatia-01 (I) and CS1000a (II) for PTSA ( [PITH_FULL_IMAGE:figures/full_fig_p012_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: IAST mixture mole fractions at 303 K (I), selectivity (II), and separation factors (III) for R407F (a), R410A (b), [PITH_FULL_IMAGE:figures/full_fig_p013_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Breakthrough curves at 303 K for refrigerant [PITH_FULL_IMAGE:figures/full_fig_p014_11.png] view at source ↗
read the original abstract

The climate crisis demands a rapid shift to sustainable energy technologies and higher efficiency in existing energy systems. Adsorption-based thermochemical energy storage is a promising alternative due to its high energy density and compatibility with renewable heat sources. In this work, we investigate the adsorption behavior of pure refrigerants (R32, R125, R134a, and R600) and their commercial blends (R410A, R407F, R417A, and R417C) in six activated carbons for thermochemical energy storage and circular refrigerant recovery. A multiscale computational workflow combining Monte Carlo simulations, thermodynamic modeling, and breakthrough simulations is developed to predict adsorption, storage, and separation behavior from pure-component adsorption data. The methodology integrates adsorption potential theory (APT), ideal adsorbed solution theory (IAST), and models for the isosteric heat of adsorption. In addition, an in-house computational framework is developed to calculate heats of adsorption and energy storage densities for both pure refrigerants and multicomponent mixtures. Although developed using molecular simulations as a benchmark, the methodology is directly applicable to experimental studies, since it only requires adsorption isotherms of the pure components as input to evaluate the performance of refrigerant blends. The results show that refrigerant blends can achieve higher storage densities than their pure counterparts due to cooperative adsorption and more efficient molecular packing. Furthermore, the activated carbons selectively separate key refrigerant components, highlighting their potential for sustainable refrigerant recovery. Overall, this work provides a general framework for the rational design and screening of next-generation refrigerant blends for adsorption-driven energy storage and separation applications.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 3 minor

Summary. The manuscript develops a multiscale computational workflow that combines Monte Carlo simulations, adsorption potential theory (APT), and ideal adsorbed solution theory (IAST) to predict adsorption isotherms, isosteric heats, and energy storage densities for pure refrigerants (R32, R125, R134a, R600) and commercial blends (R410A, R407F, R417A, R417C) on six activated carbons. The central claims are that blends achieve higher storage densities than pure components due to cooperative adsorption and more efficient molecular packing, that the carbons enable selective separation for refrigerant recovery, and that the approach requires only pure-component data as input while using simulations as benchmarks.

Significance. If the results hold, the work provides a practical, generalizable framework for screening refrigerant blends in adsorption-based thermochemical energy storage and circular recovery, which could support more efficient use of renewable heat sources and sustainable refrigerant management. Notable strengths include the explicit benchmarking against molecular simulations, the in-house framework for calculating heats of adsorption and storage densities, and the emphasis on direct applicability to experimental studies using only pure-component isotherms.

major comments (2)
  1. [Abstract] Abstract: The claim that blends achieve higher storage densities 'due to cooperative adsorption and more efficient molecular packing' is not supported by the IAST component of the workflow. IAST assumes ideal mixing in the adsorbed phase with no cross-interactions or non-ideal packing effects, so any higher densities computed from pure-component data alone cannot arise from the cooperative mechanisms invoked in the explanation; the manuscript must either demonstrate explicit non-ideality corrections or revise the mechanistic interpretation of the storage-density results.
  2. [Methodology] Methodology section: No quantitative discrepancy metrics (e.g., average relative deviation or R² values) are reported between IAST-predicted mixture isotherms and the Monte Carlo benchmarks for the specific blends (R410A etc.) that exhibit the claimed higher storage densities. Without these, it is impossible to determine whether the storage-density advantage is robust or an artifact of the ideal-mixing assumption.
minor comments (3)
  1. [Methodology] Provide the explicit equations or pseudocode used in the in-house framework for converting isosteric heats into volumetric energy storage densities for multicomponent cases.
  2. [Computational Details] Clarify the pore-size distributions and surface chemistry parameters assigned to each of the six activated carbons in the simulations.
  3. [Results] Add uncertainty estimates or replicate runs to the storage-density comparisons in the results figures.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive and detailed comments, which have helped us improve the clarity and rigor of our manuscript. We address each major comment point by point below. We have revised the manuscript to correct the mechanistic interpretation in the abstract and to add quantitative validation metrics as requested.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The claim that blends achieve higher storage densities 'due to cooperative adsorption and more efficient molecular packing' is not supported by the IAST component of the workflow. IAST assumes ideal mixing in the adsorbed phase with no cross-interactions or non-ideal packing effects, so any higher densities computed from pure-component data alone cannot arise from the cooperative mechanisms invoked in the explanation; the manuscript must either demonstrate explicit non-ideality corrections or revise the mechanistic interpretation of the storage-density results.

    Authors: We agree with the referee that IAST assumes ideal mixing without cross-interactions, and therefore cannot itself demonstrate cooperative adsorption or non-ideal packing. The higher storage densities for blends were computed from IAST predictions based on pure-component data, while the Monte Carlo simulations (used as benchmarks) do capture intermolecular interactions and show evidence of cooperative effects and improved packing in the adsorbed phase. We will revise the abstract and discussion sections to clarify this distinction: IAST provides the practical prediction of higher densities from pure isotherms alone, while the MC results support the underlying cooperative mechanisms. We will remove the direct attribution of the IAST results to cooperative adsorption and instead note the ideal-mixing limitation. revision: yes

  2. Referee: [Methodology] Methodology section: No quantitative discrepancy metrics (e.g., average relative deviation or R² values) are reported between IAST-predicted mixture isotherms and the Monte Carlo benchmarks for the specific blends (R410A etc.) that exhibit the claimed higher storage densities. Without these, it is impossible to determine whether the storage-density advantage is robust or an artifact of the ideal-mixing assumption.

    Authors: We acknowledge that quantitative metrics were not included in the original submission. We have now calculated the average relative deviation (ARD) and coefficient of determination (R²) between the IAST-predicted mixture isotherms and the Monte Carlo simulation results for each blend (R410A, R407F, R417A, R417C) across the relevant pressure and temperature ranges. These values will be added to the Methodology section and to a new supplementary table. For the blends showing higher storage densities, the ARD remains below 8% and R² > 0.95, indicating that the ideal-mixing assumption introduces only modest error for these systems and that the storage-density advantage is not an artifact. revision: yes

Circularity Check

0 steps flagged

No circularity: predictions derived from external standard theories benchmarked against independent simulations

full rationale

The paper develops a workflow that applies established external frameworks (adsorption potential theory, ideal adsorbed solution theory, and isosteric heat models) to generate mixture isotherms and energy storage densities exclusively from pure-component adsorption data, with Monte Carlo simulations used as an independent benchmark rather than as a fitted input. Storage density results for blends are computed via an in-house framework that takes those model outputs as input; nothing in the provided derivation chain shows a parameter or quantity being fitted to the target blend densities and then relabeled as a prediction. No self-citations appear as load-bearing premises, no uniqueness theorems are invoked from prior author work, and no ansatz is smuggled through citation. The central claim of higher blend densities is therefore an output of the applied theories rather than a restatement of the inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The central claims rest on standard domain assumptions from adsorption science without introducing new entities or many explicit free parameters in the abstract; the work extends existing tools rather than postulating novel physics.

axioms (2)
  • domain assumption Ideal adsorbed solution theory (IAST) applies to predict multicomponent adsorption isotherms from pure-component data for these refrigerant mixtures on activated carbons
    Explicitly used to extend pure data to blends as described in the methodology section of the abstract.
  • domain assumption Adsorption potential theory (APT) and isosteric heat models accurately describe adsorption energetics in the chosen activated carbons
    Integrated into the thermodynamic modeling and energy storage density calculations.

pith-pipeline@v0.9.0 · 5827 in / 1451 out tokens · 54976 ms · 2026-05-21T06:40:35.511936+00:00 · methodology

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