Refrigeration Engineering and Technology | VOL. 50
Read

МЕТОДИ СТВОРЕННЯ СХЕМИ ТЕПЛОВИКОРИСТАЛЬНОЇ ХОЛОДИЛЬНОЇ МАШИНИ З РОБОЧОЮ РЕЧОВИНОЮ ДІОКСИДОМ ВУГЛЕЦЮ

Publication Date Dec 9, 2014

Abstract

The article describes the method of creating a cyclic-scheme decision of heat-using compressor refrigerating machine with carbon dioxide as the working substance, based on the thermodynamic analysis of the «method of cycles». The method of creating of  the cyclic-scheme decision of the heat-using compressor machinery with carbon dioxide is based on the thermodynamic analysis of the "method of cycles". Through a phased build-up of irreversible in the cycle - sample (consistent «deterioration» of the ideal cycle) caused by the actual conditions of each element work in the composition of the refrigeration machine, reference cycles of valid machines were formed. Based on analysis, minimum elemental composition was defined, which provided real processes of heat transfer, expansion, compression in total with safe machine operation conditions with carbon dioxide. The estimation of the thermodynamic efficiency of cycles for real temperature machine operation modes was made.

Concepts

Carbon Dioxide Refrigerating Machine Machine Operation Cycles Of Machines Safe Operation Conditions Real Modes Real Machine Estimation Of Efficiency Safe Conditions Processes Of Transfer

Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.

Climate change Research Articles published between Jan 23, 2023 to Jan 29, 2023

R DiscoveryJan 30, 2023
R DiscoveryArticles Included:  3

Climate change adaptation has shifted from a single-dimension to an integrative approach that aligns with vulnerability and resilience concepts. Adapt...

Read More

Coronavirus Pandemic

You can also read COVID related content on R COVID-19

R ProductsCOVID-19

ONE PROBLEM . ONE PURPOSE . ONE PLACE

Creating the world’s largest AI-driven & human-curated collection of research, news, expert recommendations and educational resources on COVID-19

COVID-19 Dashboard

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on “as is” basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The Copyright Law.