Optimization of Different Parameter of Cold Storage for Energy Conservation

As the demand for refrigeration and Air conditioning has been increased during the last decade, the cold storage system can be used to the economic advantage over conventional plants. Energy conservation is required in the cold storage system so The Design of Experiment is used to Optimization of different parameters of cold storage on the bases of performance experiments. In This Experiment, three levels of Thickness, Area of wall and Compressor are kept as the control parameters, The Insulating wall material was taken as PUFF, and different energy were taken as a result in the experiment, The Objective of this paper is Optimize different parameters in the cold storage. The various tools of DOE are used for analyze the final results of the experiment with the help of Graphs. The analysis is being done with the help of Minitab-15 software. The analysis of variance ANOVA is also performed as identified the statistical significance of parameters. The result of the experiments are the optimum value of insulating thickness, energy consumption rate with the help of ANOVA, After the using Taguchi method determine the feasibility of improving cooling capacity of cold storage, establish the mathematical models relating the cold storage performance parameters & control parameters by regression analysis and obtained set of optimal cold storage parameters for better performance.