This experimental study presents a comparative analysis of the thermodynamic performance of refrigerators using an average cooling load relative to the refrigerator size and doubling this load to determine the appropriate refrigerator load. The suction line temperature, the discharge line temperature, the compressor power consumption, and the coefficient of performance (COP) were chosen as objective functions. The operating parameters studied in this paper include the superheating temperature, the subcooling temperature of the heat exchanger, and the evaporation temperature in the refrigeration cycle. Refrigerators are not just a device for cooling food; they are an effective means of preserving our health, saving us money, and contributing to efforts to reduce global food waste, all of which have positive impacts on food security and resource sustainability. We recommend filling the refrigerator to three-quarters of its capacity to achieve optimal cooling. In other words, the daily required capacity of the refrigerator should ideally not exceed 50 - 70 % of its total capacity. This means that the total capacity of the refrigerator should be used only when necessary, rather than on a daily basis, to maintain its efficiency and lifespan, and reduce energy consumption. To achieve optimal performance and efficiency from your refrigerator, you must maintain a medium load level that allows for good circulation of cold air without leaving large empty spaces that waste energy. When this experimental research was evaluated, the recorded temperatures, which were based on objective functions, were used to generate graphical curves illustrating the relationship between temperature drop over time for a hypothetical initial cooling load of 7 liters and its doubling to 14 liters. The results showed that the heat transfer coefficient varied at different rates over successive 10-minute intervals. The curves show that, initially at 25°C, for example, in the first experiment using 7 liters, after 10 minutes the temperature dropped to 10°C, i.e., a temperature drop of 15°C in 10 minutes, indicating an increase in the heat transfer rate. However, after more than half an hour, the heat transfer rate decreased to 1°C per 10 minutes. It was also observed in the second experiment that the average heat transfer for the cooling load was lower than in the first experiment, from 25 to 12°C during the first 10 minutes, i.e., a temperature drops of 13°C in 10 minutes. From the above, it is clear that it is important to know the difference between using an average cooling load and comparing it to double its size, and the resulting increase in energy consumption and maintaining the quality of the stored material................ Keywords: ................Cooling load, coefficient of performance, energy consumption, optimum temperature.