Optimization of Heat Gain by Air Exchange through the Window of Cold Storage Using Regression Analysis
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 1
Abstract
Energy is at scarcity, crisis of energy is leading towards a world where growth might come to an absolute hold and optimizing the processes might give a way out to save energy for future generations and give some positive way out. 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 and also heat enter in the cold store due to air exchange through the windows more energy has to be wasted to maintain the evaporator space at the desired temperature range of 2-6 degree centigrade. In this paper we have tried to optimize the heat gain by the air exchange through the windows of cold storage in the evaporator space using regression analysis. Temperature difference (dT), Height of cold store Window (H) and Relative Humidity (RH) are the basic variable and three ranges are taken each of them in the model development. Graphical interpretations from the model justify the reality through regression analysis.
Authors and Affiliations
Dr. Nimai Mukhopadhyay, Aniket Deb Roy
Keywords
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- EP ID EP389865
- DOI 10.9790/9622-0701044045.
- Views 147
- Downloads 0
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