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

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2KDTC

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

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
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.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.

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

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.

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

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

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-A Classification: (LCC): TP492:
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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

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