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http://dx.doi.org/10.6109/jkiice.2015.19.10.2396

Efficient Inverter Type Compressor System using the Distribution of the Air Flow Rate  

Shim, JaeRyong (VETEC CO.,LTD)
Kim, Yong-Chul (Department of Logistics & Statistical Information, Yongin University)
Noh, Young-Bin (VETEC CO.,LTD)
Jung, Hoe-kyung (Department of Computer Engineering, Paichai University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.10, 2015 , pp. 2396-2402 More about this Journal
Abstract
Air compressor, as an essential equipment used in the factory and plant operations, accounts for around 30% of the total electricity consumption in U.S.A, thereby being proposed advanced technologies to reduce electricity consumption. When the fluctuation of the compressed airflow rate is small, the system stability is increased followed by the reduction of the electricity consumption which results in the efficient design of the energy system. In the statistical analysis, the normal distribution, log normal distribution, gamma distribution or the like are generally used to identify system characteristics. However a single distribution may not fit well the data with long tail, representing sudden air flow rate especially in extremes. In this paper, authors decouple the compressed airflow rate into two parts to present a mixture of distribution function and suggest a method to reduce the electricity consumption. This reduction stems from the fact that a general pareto distribution estimates more accurate quantile value than a gaussian distribution when an airflow rate exceeds over a large number.
Keywords
Data quality diagnosis; Business Rules; R&D; Research Cards; Detect unusual trading;
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