Entropic and Statistical Analysis of Refrigeration Plants for Retail Application at Design Stage

1
Talyzin Maksim Sergeevich
Talyzin Maksim Sergeevich
2
Kochetov Alexey Sergeevich
Kochetov Alexey Sergeevich

Send Message

To: Author

GJRE Volume 23 Issue A4

Article Fingerprint

ReserarchID

2KDTC

Entropic and Statistical Analysis of Refrigeration Plants for Retail Application at Design Stage Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

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.This paper presents results of analysis of refrigeration plants at design stage to choose appropriated system at energy efficiency and ecological influence point of view. Refrigeration plant with three working temperature levels (evaporation temperature -10℃, -18℃, -32℃) for retail application was analyzed.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.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Talyzin Maksim Sergeevich. 2026. \u201cEntropic and Statistical Analysis of Refrigeration Plants for Retail Application at Design Stage\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 23 (GJRE Volume 23 Issue A4): .

Download Citation

Efficient analysis of refrigeration plants for retail stores based on entropic and statistical modeling techniques.
Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-A Classification: (LCC): TP492:
Version of record

v1.2

Issue date

December 8, 2023

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 974
Total Downloads: 27
2026 Trends
Research Identity (RIN)
Related Research

Published Article

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.This paper presents results of analysis of refrigeration plants at design stage to choose appropriated system at energy efficiency and ecological influence point of view. Refrigeration plant with three working temperature levels (evaporation temperature -10℃, -18℃, -32℃) for retail application was analyzed.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.

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]
×

This Page is Under Development

We are currently updating this article page for a better experience.

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 Refrigeration Plants for Retail Application at Design Stage

Talyzin Maksim Sergeevich
Talyzin Maksim Sergeevich
Kochetov Alexey Sergeevich
Kochetov Alexey Sergeevich

Research Journals