Method for evaluating efficiency of refrigeration units based on single-stage compression cycle

Abstract

Development of automation and programming tools is one of the priority areas determined by the State Program “National Technology Initiative,” which requires development of methods on the basis of which algorithms will be built.

Simultaneously, energy saving is one of the directions toward development of refrigeration equipment. This issue has been given attention both at the state level (Federal Law No. 261-FZ “On Energy Saving and Increasing Energy Efficiency and Amending Certain Legislative Acts of the Russian Federation”) and by users of refrigeration equipment. Importantly, the share of electricity consumed by refrigeration equipment constitutes a considerable part of the total energy balance of a particular enterprise. For example, the share of energy consumption by air conditioning systems in Europe ranges from 2% to 6%.

The existing systems for monitoring the operating parameters of refrigeration plants do not completely use their resource because they are frequently used only to identify emergencies and raise alarm.

This article describes a procedure of assessing the energy efficiency of refrigeration plants operating on a single-stage compression cycle with single throttling. This procedure allows for evaluation both at the design stage and during the operation of a refrigeration plant and enables to obtain a distribution of losses by the elements and processes of the refrigeration plant.

Keywords

thermodynamic analysis / entropy-statistical method of thermodynamic analysis / single-stage compression cycle

References

[1] Arkharov AM. Fundamentals of cryology. Entropy-Statistical Analysis of Low-Temperature Systems. Moskva: MGTU im NE Baumana; 2014. (in Russ.)

[2] Архаров А.М. Основы криологии. Энтропийно-статистический анализ низкотемпературных систем. М.: МГТУ им. Н.Э. Баумана, 2014.

[3] Vaynfeld EI, Montik PN. Modeling of thermodynamic properties of coolants at assessment of power efficiency of refrigeration units for the purpose of optimization of management // Avtomatizatsiya technologichny і biznes-protsesiv. 2015;7(2):61–67. (in Russ.)

[4] Вайнфельд Э.И., Монтик П.Н. Моделирование термодинамических свойств хладагентов при оценке энергетической эффективности холодильных установок с целью оптимизации. управления // Автоматизація технологічних і бізнес-процесів. 2015. Т. 7, № 2. С. 61–67.

[5] Shishov VV. Entropy and statistical analysis of refrigeration cycles for air conditioning systems // Bulletin of the Bauman Moscow State Technical University, ser. Mechanical engineering. 2012:143–156. (in Russ.)

[6] Шишов В.В. Энтропийно-статистический анализ холодильных циклов для систем кондиционирования // Вестник МГТУ им. Н.Э. Баумана. Сер. Машиностроение. 2012. С. 143–156.

RIGHTS & PERMISSIONS

Eco-Vector