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http://dx.doi.org/10.11627/jkise.2014.38.1.143

Analyses of Power Consumption of the Heat Pump Dryer in the Automobile Drying Process by using the Principal Component Analysis and Multiple Regression  

Lee, Chang-Yong (Dept. of Industrial and Systems Engineering, Kongju National University)
Song, Gensoo (Dept. of Industrial and Systems Engineering, Kongju National University)
Kim, Jinho (Dept. of Industrial and Systems Engineering, Kongju National University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.38, no.1, 2015 , pp. 143-151 More about this Journal
Abstract
In this paper, we investigate how the power consumption of a heat pump dryer depends on various factors in the drying process by analyzing variables that affect the power consumption. Since there are in general many variables that affect the power consumption, for a feasible analysis, we utilize the principal component analysis to reduce the number of variables (or dimensionality) to two or three. We find that the first component is correlated positively to the entrance temperature of various devices such as compressor, expander, evaporator, and the second, negatively to condenser. We then model the power consumption as a multiple regression with two and/or three transformed variables of the selected principal components. We find that fitted value from the multiple regression explains 80~90% of the observed value of the power consumption. This results can be applied to a more elaborate control of the power consumption in the heat pump dryer.
Keywords
Heat Pump Dryer; Principal Component Analysis; Multiple Regression; Multivariate Data Analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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