Optimization of Energy Consumption in Parallel Evaporator Refrigeration Units Using Control Algorithms
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Abstract
Mankind had been consuming since their existence. With the improvement of technology, the needs of mankind had increased. The increase in consumption had resulted in a reduction of energy resources. This reduction has caused energy costs to rise, thus giving energy efficiency a more important role in technology. Companies had started developing projects to improve system efficiency. Analyses on commercial refrigerators has shown that increasing and optimizing component efficiency played a very important role in reducing the system’s energy consumption. This study was conducted on a parallel cooling system with two different cabinets to determine the effects of various working conditions caused by changes in the performance of system components on energy consumption. The effects of different compressor revolution numbers and valve section opening ratios on the cooling system were investigated. The variables of system energy consumption were nondimensionalized using the Buckingham π theorem. A model was developed using the linear least squares regression algorithm to generalize the relationship between the dimensionless variables and the system’s energy consumption.
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