Prakticheskoe primenenie entropiynostatisticheskogo metoda analiza kholodil'nykh tsiklov

The urgency of works to improve the methods of the analysis of refrigerating systems operation is specified by the necessity to compare refrigerating plants at different components and refrigerants that requires taking into account some features when designing refrigerating systems. The entropic and statistical method of the analysis (ESMA) allows comparing losses in different components of the refrigerating system as well as revealing the elements that need measures to increase their operation efficiency. The application of the ESMA and the methodology of calculations to investigate the operation of a real refrigerating machine on the base of data obtained from the system of scheduling (diagrams of operation parameters change depending on time) are described. The ESMA was applied to investigate a refrigerating system with invariable composition of the equipment before the works on optimization and after. The analysis resulted in revealing elements that needed further optimization of their operation. This result couldn’t be achieved when using a traditional method of comparison of refrigerating systems using a coefficient of performance. The increase of the degree of thermodynamic efficiency of the refrigerating system after optimization obtained on the base of calculations leads to reducing power consumption according to electricity meters registration. The prospectivity of the ESMA application to analyze operation and optimization of existing refrigerating systems as well as to design new refrigerating systems consists in that it allows refusing expensive equipment and using absolute indices of operation such as refrigerating capacity and real load on the refrigerating equipment. The exclusion of the absolute indices from the analysis doesn’t influence the result obtained but gives the possibility to setup optimally the existing refrigerating system as well as to design a new one.

энтропийностатистический метод анализа, реальная холодильная машина, распределение потерь по элементам холодильной машины, оптимизация и повышение эффективности