DOI: 10.57760/sciencedb.22630
title: Supporting Data for "Developing Low-GWP Refrigerant Blends of R32/R152a/R1270 for Improved Energy Efficiency in HVAC Systems"
title: Supporting Data for "Developing Low-GWP Refrigerant Blends of R32/R152a/R1270 for Improved Energy Efficiency in HVAC Systems"

description: The data deposited in ScienceDB support the findings presented in the manuscript titled Developing Low-GWP Refrigerant Blends of R32/R152a/R1270 for Improved Energy Efficiency in HVAC Systems. The dataset was generated through comprehensive thermodynamic simulations and environmental assessments of 70 refrigerant mixtures with varying mass fractions of R32 (90–98%), R152a (0.5–9.5%), and R1270 (0.5–2%).The data generation process involved the use of REFPROP Version 10.0 and CYCLE_D Version 6.0 from the National Institute of Standards and Technology (NIST) for obtaining thermodynamic properties and cycle performance parameters. Simulations were performed under controlled evaporator temperatures ranging from 5°C to 13°C and condenser temperatures ranging from 30°C to 45°C, in accordance with ASHRAE guidelines.The dataset includes tabular data with 70 entries, where each row corresponds to a refrigerant blend and each column describes key performance indicators: composition ratios, Global Warming Potential (GWP), Lower Flammability Limit (LFL), heat of combustion, latent heat of vaporization, mass flow rates, cooling capacities, Coefficient of Performance (COP), and compressor discharge temperatures (CDT). All measurements are presented in appropriate SI units (e.g., mass fractions in percentages, GWP as a unitless number, LFL in kg/m³, COP as a ratio, and temperatures in °C).There are no missing data entries. Data errors and uncertainties were minimized by using standardized models in REFPROP and verified against established ASHRAE and IPCC values. The accuracy of simulation results is within the expected error range of ±2% for COP and cooling capacity predictions.
description: The data deposited in ScienceDB support the findings presented in the manuscript titled Developing Low-GWP Refrigerant Blends of R32/R152a/R1270 for Improved Energy Efficiency in HVAC Systems. The dataset was generated through comprehensive thermodynamic simulations and environmental assessments of 70 refrigerant mixtures with varying mass fractions of R32 (90–98%), R152a (0.5–9.5%), and R1270 (0.5–2%).The data generation process involved the use of REFPROP Version 10.0 and CYCLE_D Version 6.0 from the National Institute of Standards and Technology (NIST) for obtaining thermodynamic properties and cycle performance parameters. Simulations were performed under controlled evaporator temperatures ranging from 5°C to 13°C and condenser temperatures ranging from 30°C to 45°C, in accordance with ASHRAE guidelines.The dataset includes tabular data with 70 entries, where each row corresponds to a refrigerant blend and each column describes key performance indicators: composition ratios, Global Warming Potential (GWP), Lower Flammability Limit (LFL), heat of combustion, latent heat of vaporization, mass flow rates, cooling capacities, Coefficient of Performance (COP), and compressor discharge temperatures (CDT). All measurements are presented in appropriate SI units (e.g., mass fractions in percentages, GWP as a unitless number, LFL in kg/m³, COP as a ratio, and temperatures in °C).There are no missing data entries. Data errors and uncertainties were minimized by using standardized models in REFPROP and verified against established ASHRAE and IPCC values. The accuracy of simulation results is within the expected error range of ±2% for COP and cooling capacity predictions.