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New-Generation Refrigerants: Performance Analysis, AI-Driven Prediction, Thermodynamic Modelling, and Environmental Transition

Venktesh Sharma Dr. Vikas Bansal Dr. Rohit Mishra Dr. Kamal Doraj

Subject area: Science,Engineering and Technology  ·  Area of research: Artificial Intelligence

DOI: 10.64388/IREV9I10-1715868

Abstract

The accelerating phase-down of hydrofluorocarbons (HFCs) under the Kigali Amendment to the Montreal Protocol has intensified global research into low-global-warming-potential (GWP) refrigerants that can meet the dual imperatives of environmental sustainability and thermodynamic efficiency. This paper presents a comprehensive review of emerging refrigerant classes — including hydrofluoroolefins (HFOs), hydrochlorofluoroolefins (HCFOs), natural refrigerants (CO₂, ammonia, hydrocarbons), and novel blends — evaluating their thermophysical properties, cycle performance, safety classifications, and compatibility with existing vapor-compression infrastructure. A comparative thermodynamic analysis is conducted using the coefficient of performance (COP), volumetric refrigerating capacity, and exergy efficiency as primary benchmarks. Special attention is given to HFO- 1234yf, HFO-1234ze(E), and R-290 (propane) as front-runner replacements in residential, commercial, and automotive refrigeration sectors. The study further examines regulatory frameworks, material compatibility challenges, lubricant interactions, and the economic feasibility of retrofit and drop-in solutions. Findings indicate that while no single refrigerant universally replicates the performance of incumbent HFCs, optimized low-GWP blends and CO₂-based trans critical systems demonstrate strong potential across a broad range of applications. This work aims to inform engineers, policymakers, and manufacturers in navigating the ongoing refrigerant transition toward a climate-responsible cooling industry.

Keywords

Refrigerant Science, Thermal Engineering, Environmental Impact, HFO Blends, AI/Data Mining, Vaporisation Theory, R-410A Alternatives, Regulatory Compliance

References

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[2] Hashimoto, M., Otsuka, T., Fukushima, M., Okamoto, H., Hayamizu, H., Ueno, K., & Akasaka, R. (2019). Development of new low-GWP refrigerants — refrigerant mixtures including HFO-1123. Science andTechnologyfortheBuiltEnvironment,25(6),776–783. https://doi.org/10.1080/23744731.2019.1603779

[3] Sahin, A.S., & Yildirim, R. (2025). Estimation of energetic and exergetic performances of new- generation alternative to the R404A refrigerants in vapor compression refrigeration system. Journal of Thermal Analysis and Calorimetry, 150, 4735–4745. https://doi.org/10.1007/s10973-025-14074-2

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[10] Domanski, P.A., Brignoli, R., Brown, J.S., Kazakov, A.F., & McLinden, M.O. (2017). Low-GWP refrigerants for medium and high-pressure applications. International Journal of Refrigeration, 84, 198– 209.

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[14] Ghanbarpour, M., Mota-Babiloni, A., Makhnatch, P., et al. (2021). ANN modeling to analyze the R404A replacement with low GWP alternative R449A in an indirect supermarket refrigeration system. Applied Sciences, 11, 11333.

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How to cite this paper

Venktesh Sharma, Dr. Vikas Bansal, Dr. Rohit Mishra, Dr. Kamal Doraj "New-Generation Refrigerants: Performance Analysis, AI-Driven Prediction, Thermodynamic Modelling, and Environmental Transition" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 33-43 https://doi.org/10.64388/IREV9I10-1715868
Venktesh Sharma, Dr. Vikas Bansal, Dr. Rohit Mishra, Dr. Kamal Doraj "New-Generation Refrigerants: Performance Analysis, AI-Driven Prediction, Thermodynamic Modelling, and Environmental Transition" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026, doi: https://doi.org/10.64388/IREV9I10-1715868
Venktesh Sharma, Dr. Vikas Bansal, Dr. Rohit Mishra, Dr. Kamal Doraj (2026). New-Generation Refrigerants: Performance Analysis, AI-Driven Prediction, Thermodynamic Modelling, and Environmental Transition. Iconic Research And Engineering Journals, 9(10). doi: https://doi.org/10.64388/IREV9I10-1715868
Venktesh Sharma, Dr. Vikas Bansal, Dr. Rohit Mishra, Dr. Kamal Doraj "New-Generation Refrigerants: Performance Analysis, AI-Driven Prediction, Thermodynamic Modelling, and Environmental Transition" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026. Crossref, https://doi.org/10.64388/IREV9I10-1715868
@article{1715868,
      author = {Venktesh Sharma, Dr. Vikas Bansal, Dr. Rohit Mishra, Dr. Kamal Doraj},
      title = {New-Generation Refrigerants: Performance Analysis, AI-Driven Prediction, Thermodynamic Modelling, and Environmental Transition},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {33-43},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715868.pdf},
      abstract = {The accelerating phase-down of hydrofluorocarbons (HFCs) under the Kigali Amendment to the Montreal Protocol has intensified global research into low-global-warming-potential (GWP) refrigerants that can meet the dual imperatives of environmental sustainability and thermodynamic efficiency. This paper presents a comprehensive review of emerging refrigerant classes — including hydrofluoroolefins (HFOs), hydrochlorofluoroolefins (HCFOs), natural refrigerants (CO₂, ammonia, hydrocarbons), and novel blends — evaluating their thermophysical properties, cycle performance, safety classifications, and compatibility with existing vapor-compression infrastructure. A comparative thermodynamic analysis is conducted using the coefficient of performance (COP), volumetric refrigerating capacity, and exergy efficiency as primary benchmarks. Special attention is given to HFO- 1234yf, HFO-1234ze(E), and R-290 (propane) as front-runner replacements in residential, commercial, and automotive refrigeration sectors. The study further examines regulatory frameworks, material compatibility challenges, lubricant interactions, and the economic feasibility of retrofit and drop-in solutions. Findings indicate that while no single refrigerant universally replicates the performance of incumbent HFCs, optimized low-GWP blends and CO₂-based trans critical systems demonstrate strong potential across a broad range of applications. This work aims to inform engineers, policymakers, and manufacturers in navigating the ongoing refrigerant transition toward a climate-responsible cooling industry.},
      keywords = {Refrigerant Science, Thermal Engineering, Environmental Impact, HFO Blends, AI/Data Mining, Vaporisation Theory, R-410A Alternatives, Regulatory Compliance},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1715868}
  }