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In this work design of experiment have been used to optimize various control factors of a cold storage for reducing the use of electrical energy to overcome the energy crisis and reduce the cost price of the commodities that are kept. In this situation if the maximum heat energy(Q) is absorbed by the evaporator inside the cold room through convective heat transfer process in terms of –heat transfer due to convection and heat transfer due to condensation, more energy has to be wasted to maintain the evaporator space at the desired temperature range of 2-6 degree centigrade. Taguchi orthogonal array have been used as a design of experiments. The control factors are Area of the evaporator with fin (A), temperature difference of the evaporator space (dT), and relative humidity inside the cold room (RH). Different amount of heat gains in the cold room for different set of test runs have been taken as the output parameter. The objective of this work is to find out the optimum setting of the control factors or design parameters so as the heat absorb in the cold room by the evaporator will be maximum. The Taguchi S/N ratio analysis have used as an optimization technique. Larger the better type S/N ratio have used for calculating the optimum level of control parameters, because it is a maximization problem. Analysis of variance ANOVA was also performed on the test results to find out the significant control factors.

Optimization of Convective Heat Transfer Model of Cold Storage with Cylindrical Pin Finned Evaporator Using Taguchi S/N Ratio and ANOVA Analysis