Analyzing of A Vapor Compression Refrigeration Cycle With Bi Standard and An Approach To Ebi

Thermodynamics consideration of a Vapor Compression Refrigeration Cycle in HVAC, performed. Systematic data gathering for setting up a concise database for all the initial values initiated. Selection of working fluids regarding Thermophysical properties, operational characteristics, performances, and availability of refrigerants performed. R134a, R407c, and R410a selected because of their similarities. P-h, s-T, s-h equations of refrigerants, both in MATLAB and excel with the maximum R-square extracted. A detailed analysis of a VCR with IHE conducted. A concise frame regulated. A regular linear forecast performed for 2 upper and lower steps. The result shows that regularly, a trending can be assumed. A neural network using derived T, s, P, h s was proposed by Levenberg-Marquardt (LMA) to find the best fitting results. This trending can be an outstanding point and novelty of this research. A CO2 equivalent production by electricity provided for further and future studies of energy management and renewable usages for similar works. BI standard has been followed up for each step of data management. streamlining, data retrieval, storage, manipulation of data and statistics, which proceeding with energy analytics enables strategic energy business decisions throughout the entire full energy-value chain, and will lead to energy conservation and management.