Substantiating the application of methods for analyzing the energy efficiency from the implementation of technical solutions in the field of low-temperature technology based on the heat and power balance equations

For citation: Syazin I.E., Gukasyan A.V. Substantiating the application of methods for analyzing the energy efficiency from the implementation of technical solutions in the field of low-temperature technology based on the heat and power balance equations. Journal of International Academy of Refrigeration. 2023. No 1. p. 93-98. DOI: 10.17586/1606-4313-2023-22-1-93-98

Abstract
The goal-setting task in the field of low-temperature physics at the moment remains the solution of the problem of increasing and evaluating the energy efficiency of low-temperature machines and installations (refrigeration and cryogenic machines and installations). The currently developing exergy analysis, in terms of its informative depth, is sure to be practically uncontested method, but it has significant drawbacks: it requires a rather large amount of reference data and labor-intensive energy-intensive technical calculations, which are carried out by a highly qualified specialist, and therefore remain rarely applicable in modern conditions of private production.For these reasons, the use of a method devoid of the listed disadvantages should be considered relevant. In the article, by the example of several rationalization solutions for cryogenic and refrigeration equipment, a method for analyzing the energy efficiency of implementations based on the use of a system of heat and energy balance equations is presented. This method is proposed to simplify the assessment of the effectiveness of the application of technical solutions to reduce the cost of cryogenic and refrigeration equipment. It is assumed that the evaluation of the gain in the work will allow over time to recoup the capital costs for the implementation of the technical solution.The proposed method is characterized by a high speed of the estimated calculation, the minimum number of initial data required for the analysis,and its approximation to the real conditions of modern production.