Development of Integrated Air Conditioning Systems Utilizing Low-Global Warming Potential (GWP) Refrigerants in Compliance with the Kigali Amendment: A Mathematical Modeling and Optimization Approach
DOI:
https://doi.org/10.65204/djes.v3i1.393Keywords:
Low-GWP refrigerants, Multi-objective optimization, Total Equivalent Warming Impact (TEWI), System re-optimization, Kigali Amendment complianceAbstract
The Kigali Amendment is leading to a rapid global phase-down of high-GWP refrigerants, which will require the thoughtful redesign of vapor compression systems to achieve the same performance while mitigating environmental impact. In this work, we developed a hybrid mathematical and computational framework that includes thermodynamic modeling, surrogate-based forward simulation, and multi-objective Pareto optimization to study and compare refrigerants R-410A, R-32, R-1234ze(E), and R-717. We used synthetic yet physically-consistent datasets to predict both coefficient of performance (COP) and total equivalent warming impact (TEWI) under reasonable operating conditions and real-world scenarios. We found that while low-GWP fluids provide a path to low-impact thermal mechanical systems, there are fundamental trade-offs associated with efficiency and climate impact that need to be considered when transitioning from high-GWP fluids. Based on optimization, we recommend R-1234ze(E) and R-717 as the two best low-GWP fluids with the potential of continued use over the long-term to support regulatory compliance, while R-32 continues to be efficient switching fluid during transitions. The framework gives a scalable and reproducible guidance tool to assist in refrigerant selection in line with the urgency of meeting Kigali phase-down targets, and in the context of wider objectives for both sustainable energy and carbon mitigation.
References
Aized, T., Rashid, M., Riaz, F., Hamza, A., Nabi, H. Z., Sultan, M., ... & Krzywanski, J. (2022). Energy and exergy analysis of vapor compression refrigeration system with low-Gwp refrigerants. Energies, *15*(19), 7246.
Al-Zahrani, A. (2023). Energy and Exergy Analysis on Zeotropic Refrigerants R-455A and R-463A as Alternatives for R-744 in Automotive Air-Conditioning System (AACs). Processes, *11*(7), 2127.
Alsouda, F., Bennett, N. S., Saha, S. C., Salehi, F., & Islam, M. S. (2023). Vapor compression cycle: A state-of-the-art review on cycle improvements, water and other natural refrigerants. Clean Technologies, *5*(2), 584-608.
Bruketta, R. (2021). A Cool Climate Strategy: Pairing HFC Reduction and Energy Efficiency. Envtl. L. Rep., *51*, 10745.
Da Veiga, S., Gamboa, F., Iooss, B., & Prieur, C. (2021). Basics and trends in sensitivity analysis: Theory and practice in R. Society for Industrial and Applied Mathematics.
Daisuke, J. I. G. E., & Inoue, N. (2024). Flow boiling heat transfer of binary mixtures of R1234yf/R32 and R1234ze (E)/R32 in a horizontal minichannel. International Journal of Heat and Mass Transfer, *233*, 126011.
Dong, S., Huo, Z., Liu, Y., Zhai, S., Ding, C., Yang, J., ... & Meng, Z. (2024). Advancements in a low global warming potential refrigerants for enhanced thermal management in electric vehicle air conditioning. International Journal of Low-Carbon Technologies, *19*, 2136-2142.
Gao, M., Kong, H., Li, R., & Shangguan, W. B. (2022). Dynamic Modeling Method of Electric Vehicle Thermal Management System Based on Improved Moving Boundary Method (No. 2022-01-0183). SAE Technical Paper.
García Ruiz, A. H., Ibarra Martínez, S., Castán Rocha, J. A., Terán Villanueva, J. D., Laria Menchaca, J., Treviño Berrones, M. G., ... & Santiago Pineda, A. A. (2021). Assessing a multi-objective genetic algorithm with a simulated environment for energy-saving of air conditioning systems with user preferences. Symmetry, *13*(2), 344.
He, L., Li, P., Zhang, Y., Jing, H., & Gu, Z. (2023). Control strategy analysis of multistage speed compressor for vehicle air conditioning based on particle swarm optimization. Case Studies in Thermal Engineering, *47*, 103033.
Huber, M. L., Lemmon, E. W., Bell, I. H., & McLinden, M. O. (2022). The NIST REFPROP database for highly accurate properties of industrially important fluids. Industrial & Engineering Chemistry Research, *61*(42), 15449-15472.
IPCC. (2022). Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
Kim, D., Lee, D., Lee, M., Chung, H. J., & Kim, Y. (2021). Energy performance evaluation of two-phase injection heat pump employing low-GWP refrigerant R32 under various outdoor conditions. Energy, *214*, 119098.
Kim, D., Lee, J., Do, S., Mago, P. J., Lee, K. H., & Cho, H. (2022). Energy modeling and model predictive control for HVAC in buildings: A review of current research trends. Energies, *15*(19), 7231.
Kumar, A., Chen, M. R., Hung, K. S., Liu, C. C., & Wang, C. C. (2022). A comprehensive review regarding condensation of low-GWP refrigerants for some major alternatives of R-134a. Processes, *10*(9), 1882.
Ocłoń, P., Łopata, S., Stelmach, T., Li, M., Zhang, J. F., Mzad, H., & Tao, W. Q. (2021). Design optimization of a high-temperature fin-and-tube heat exchanger manifold–a case study. Energy, *215*, 119059.
Prabakaran, R., Lal, D. M., & Kim, S. C. (2023). A state of art review on future low global warming potential refrigerants and performance augmentation methods for vapour compression based mobile air conditioning system. Journal of Thermal Analysis and Calorimetry, *148*(2), 417-449.
Randell, J. (2024). Comparison of HFC Emission and Bank Modelling Methods (Doctoral dissertation, University of Bristol).
Savitha, D. C., Ranjith, P. K., Talawar, B., & Rana Pratap Reddy, N. (2022). Refrigerants for sustainable environment–a literature review. International Journal of Sustainable Energy, *41*(3), 235-256.
Silva-Romero, J. C., Belman-Flores, J. M., & Aceves, S. M. (2024). A review of small-scale vapor compression refrigeration technologies. Applied Sciences, *14*(7), 3069.
Soboĺ, I. M. (1993). Sensitivity estimates for nonlinear mathematical models. Math. Model. Comput. Exp., *1*, 407.
Söylemez, E. (2024). Energy and Conventional Exergy Analysis of an Integrated Transcritical CO2 (R-744) Refrigeration System. Energies, *17*(2), 479.
Tejani, A., Gajjar, H., Toshniwal, V., & Kandelwal, R. (2022). The impact of low-GWP refrigerants on environmental sustainability: An examination of recent advances in refrigeration systems. ESP Journal of Engineering & Technology Advancements, *2*(2), 62-77.
Tejani, A., Yadav, J., Toshniwal, V., & Kandelwal, R. (2022). Natural refrigerants in the future of refrigeration: Strategies for eco-friendly cooling transitions. ESP Journal of Engineering & Technology Advancements, *2*(4), 80-91.
Witanowski, Ł. (2024). Multi-objective optimization of a small-scale ORC-VCC system using low-GWP refrigerants. Energies, *17*(21), 5381.
Xie, H., & Pioro, I. (2022, August). Specifics of Calculating Thermophysical Properties of CO2 and R134a in Critical Point Using NIST REFPROP. In International Conference on Nuclear Engineering (Vol. 86502, p. V015T16A092). American Society of Mechanical Engineers.
Yan, P., Gori, G., Zocca, M., & Guardone, A. (2025). SU2-COOL: Open-source framework for non-ideal compressible fluid dynamics. Computer Physics Communications, *307*, 109394.
Zhang, P., Qian, Y., & Qian, Q. (2021). Multi-objective optimization for materials design with improved NSGA-II. Materials today communications, *28*, 102709.