Entropic and Statistical Analysis of Existed Refrigeration Plant for Retail

Article ID

88Z50

A comprehensive study of the existing refrigeration plant's statistical and energetic analysis for retail applications.

Entropic and Statistical Analysis of Existed Refrigeration Plant for Retail

Talyzin Maksim Sergeevich
Talyzin Maksim Sergeevich
Shishov Victor Victorovich
Shishov Victor Victorovich
DOI

Abstract

The Entropic and Statistical Method of The Analysis (Esma) Allows Calculating Losses In Different Refrigeration Plant Components and Comparing them to Define the Elements that Need Measures to Increase their Operation Efficiency. The paper presents results of analysis existed refrigeration plants used for retail applications. The ESMA was applied to investigate some operating refrigeration plants equipped with monitoring system and define elements for further optimization. The initial date for analysis were date taking from monitoring system (pressures and temperatures in working points). The description of calculation method was given. The degree of thermodynamic efficiency was calculated. This result could not be achieved using a traditional method of comparison refrigeration systems by using a coefficient of performance (COP) or seasonal efficiency as an only efficiency criterion. The prospect of the ESMA application to analyse operation and optimization of existing refrigerating systems as well as to design new refrigerating systems consists in that it allows refusing expensive equipment for improvement refrigeration plant efficiency.

Entropic and Statistical Analysis of Existed Refrigeration Plant for Retail

The Entropic and Statistical Method of The Analysis (Esma) Allows Calculating Losses In Different Refrigeration Plant Components and Comparing them to Define the Elements that Need Measures to Increase their Operation Efficiency. The paper presents results of analysis existed refrigeration plants used for retail applications. The ESMA was applied to investigate some operating refrigeration plants equipped with monitoring system and define elements for further optimization. The initial date for analysis were date taking from monitoring system (pressures and temperatures in working points). The description of calculation method was given. The degree of thermodynamic efficiency was calculated. This result could not be achieved using a traditional method of comparison refrigeration systems by using a coefficient of performance (COP) or seasonal efficiency as an only efficiency criterion. The prospect of the ESMA application to analyse operation and optimization of existing refrigerating systems as well as to design new refrigerating systems consists in that it allows refusing expensive equipment for improvement refrigeration plant efficiency.

Talyzin Maksim Sergeevich
Talyzin Maksim Sergeevich
Shishov Victor Victorovich
Shishov Victor Victorovich

No Figures found in article.

Talyzin Maksim Sergeevich. 2026. “. Global Journal of Research in Engineering – A : Mechanical & Mechanics GJRE-A Volume 23 (GJRE Volume 23 Issue A4): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Classification
GJRE-A Classification: (LCC): TJ163.5
Keywords
Article Matrices
Total Views: 1089
Total Downloads: 25
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Entropic and Statistical Analysis of Existed Refrigeration Plant for Retail

Talyzin Maksim Sergeevich
Talyzin Maksim Sergeevich
Shishov Victor Victorovich
Shishov Victor Victorovich

Research Journals